Simulation of Net Infiltration for Present-Day and Potential Future Climates Rev 00, ICN 00

MDL-NBS-HS-000023  

November 2004


1. PURPOSE 
The purpose of this model report is to document the infiltration model used to estimate 
upper-bound, mean, and lower-bound spatially-distributed average annual net infiltration rates 
for present-day and potential future climates at Yucca Mountain, Nevada. Net infiltration is the 
component of infiltrated precipitation, snowmelt, or surface water run-on that has percolated 
below the zone of evapotranspiration as defined by the depth of the effective root zone. 
The estimates of net infiltration are primarily used for defining the upper boundary condition for 
the site-scale three-dimensional unsaturated zone (UZ) model. The UZ flow model is one of 
several process models abstracted by the total system performance assessment (TSPA) model 
used to evaluate performance of the repository at Yucca Mountain, Nevada. The net-infiltration 
model is important for assessing repository-system performance because output from this model 
provides the upper boundary condition for the UZ flow model used to generate flow fields; water 
percolating downward from the UZ will be the principal means by which radionuclides are 
potentially released to the saturated zone (SZ). The SZ is the principal pathway to the biosphere 
where the reasonably maximally exposed individual (RMEI) is exposed to radionuclides. 
Reports that use information from this model report as direct input include Calibrated Properties 
Model; UZ Flow Models and Submodels; Analysis of Infiltration Uncertainty; Mountain-Scale 
Coupled Processes (TH/THC/THM); and Features, Events, and Processes in UZ Flow and 
Transport. 
Estimates of net infiltration are provided as raster-based, two-dimensional grids of spatially 
distributed, time-averaged rates for three different climate stages estimated as likely conditions 
for the next 10,000 years beyond the present. Each climate stage is represented using a lower 
bound, a mean, and an upper bound climate and corresponding net-infiltration scenario for 
representing uncertainty in the characterization of daily climate conditions for each climate 
stage, as well as potential climate variability within each climate stage. The set of nine raster 
grid maps provides spatially detailed representations of the magnitude and distribution of 
net-infiltration rates that are used to define specified flux upper boundary conditions for the UZ 
flow model. 
This model report is a revision of the scientific analysis report, Simulation of Net Infiltration for 
Modern and Potential Future Climates (USGS 2003 [DIRS 166518]). The name of this model 
report has been changed to reflect that it is a model report, not a scientific analysis, and as a 
result, this model report is Revision 00. In this model report, changes were made in response to 
recommendations from the Regulatory Integration Team (RIT)/Natural Systems Team to 
improve transparency and document the 2004 modeling activities conducted for additional 
validation of the model results documented in Simulation of Net Infiltration for Modern and 
Potential Future Climates (USGS 2003 [DIRS 166518]). This model report now consists of the 
following: 
 Modifications to the 1996 model code INFIL V1.0 (Flint et al. 1996 [DIRS 100147], 
Appendix V) 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 1-2 November 2004 
 Updates of input parameters defining the new model INFIL V2.0 (USGS 2001 
[DIRS 139422]) 
 Calibration of the new model using stream flow records 
 The development of daily climate input representative of potential future climate stages 
 Application of the model to provide net-infiltration estimates for lower, mean, and upper 
bound climate scenarios within each potential future climate stage 
 The 2004 model validation activities described in Section 7. 
This model report documents the development, calibration, and application of the enhanced 
model, and also the historical development of the conceptual and numerical models used to 
provide spatially and temporally distributed estimates of net infiltration over the area of the UZ 
flow model and the repository. The document describes all inputs, procedures, and assumptions 
used to obtain estimates of net infiltration and provide a descriptive summary of model results. 
This model report was prepared under AP-SIII.10Q, Models. The report provides complete 
documentation of the net-infiltration model and its application, and Scientific Notebooks were 
not used to document model development, as permitted in procedure AP SIII.10Q, Models. 
Estimation of the timing and duration of the potential future climate stages, which consist of a 
present-day, a monsoon, and a glacial-transition climate stage, is documented in Future Climate 
Analysis (BSC 2004 [DIRS 170002]). The characterization of precipitation and air temperature 
for the upper and lower bound climate scenarios within the monsoon and glacial-transition 
climate stages is also described in Future Climate Analysis (BSC 2004 [DIRS 170002]). 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 2-1 November 2004 
2. QUALITY ASSURANCE 
Development of this model report and the supporting modeling activities have been determined 
to be subject to the Yucca Mountain Projects quality assurance program as indicated in 
Technical Work Plan for: Unsaturated Zone Flow Analysis and Model Report Integration 
(BSC 2004 [DIRS 169654], Section 8.1). Approved quality assurance procedures identified in 
the technical work plan (TWP) (BSC 2004 [DIRS 169654], Section 4) have been used to conduct 
and document the activities described in this model report. The governing procedure for this 
model report is AP-SIII.10Q. The TWP also identifies the methods used to control the electronic 
management of data (BSC 2004 [DIRS 169654], Section 8.4) during the modeling and 
documentation activities. There were no variances from the TWP during the development of this 
report. 
This model report provides simulation results for infiltration into the UZ under present and 
potential future climates. The UZ (including soil and rock above the water table) is part of 
natural barriers that are classified in the Q-List (BSC 2004 [DIRS 168361]) as Safety Category 
because it is important to waste isolation, as defined in AP-2.22Q, Classification Analyses and 
Maintenance of the Q-List. The report contributes to the process models used to support 
performance assessment; the conclusions do not directly impact engineered features important to 
preclosure safety, as defined in AP-2.22Q. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 2-2 November 2004 
INTENTIONALLY LEFT BLANK 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 3-1 November 2004 
3. USE OF SOFTWARE 
The software codes listed in Table 3-1 are appropriate for the intended application, and were 
used only within the range of validation. The use of software in modeling work documented in 
this report was in accordance with the software procedure, AP-SI.1Q, Software Management 
(REV 2 ICN 4), which was in effect when the modeling analyses were performed. Additional 
modeling work conducted in 2004 used INFIL version A_2.a1 which was obtained from the 
Software Configuration Management and used in accordance with LP-SI.11Q-BSC, Software 
Management. Guidance, as specified in a RIT Broadcast Message dated August 12, 2004, 
directs that the qualification status of technical product output will not change as a result of 
changes in the Q status of software, classified under AP-SI.1Q as single use routines, which 
were used in the calculation of that output. This guidance specifies that: 
Output from software qualified under LP-SI.14Q-BSC, Independent Verification and Validation 
of Legacy Code, and earlier versions may be used provided that both constraints below are met. 
1. The original output is used without rerunning the code. 
2. The software successfully went through LP-SI.14Q-BSC, Legacy Management (legacy 
testing), with nothing more than documentation issues. 
For clarification: 
a. If constraint 1 was violated (i.e., the code is rerun), the software would have to be 
rebaselined in accordance with LP-SI.11Q-BSC, Software Management. 
b. If constraint 2 was violated (i.e., something is found to be wrong with the actual 
code during legacy testing), the output would be suspect and either an impact 
review or rebaselining of the software under LP-SI.11Q-BSC would be required. 
Software, at the time of use, was confirmed as qualified in the Software Baseline Report and 
subsequently obtained from Software Configuration Management. The three software items, 
INFIL V2.0 (USGS 2000 [DIRS 139422]), MARKOV V1.0 (USGS 1996 [DIRS 147316]), and 
PPTSIM V1.0 (USGS 1996 [DIRS 147317]) (Table 3-1, items 1-3) are on the current baseline of 
LP-SI.11Q-BSC. The developed FORTRAN pre- and post- processors were developed as single 
use routines (Table 3-1, items 4-14). Use of the listed software, as single use routines, were 
subject to the requirements listed in Section 5.1.1.2 of AP-SI.1Q, and documentation to satisfy 
these requirements is included in this report as Appendices C through M. Thus, this software 
meets the criteria specified in the guidance specified above. The primary model program for 
obtaining estimates of net infiltration maps (as provided to the UZ flow model as described in 
Section 1.0) is INFIL V2.0, which is a modified version of INFIL V1.0. ARCINFO V6.1.2 was 
used for visual and graphical representation of ground surface data and parameters. This 
commercially available software product is an exempt software application in accordance with 
Section 2.1 of LP-SI.11Q-BSC. 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 3-3 November 2004 
Table 3-1. Computer Software Used to Develop Estimates of Net Infiltration (Continued) 
Item 
No. 
Software 
Name Version 
Software 
Tracking Number 
Computer 
Type Used Description 
7 GEOMOD4 1.0 Appendix F Pentium Pro 
PC, Windows 
NT 4.0 
FORTRAN77 
Defines an intermediate soil depth 
buffer zone between thin upland soils 
and thick alluvium using the mapped 
alluvium boundary and estimates the 
bedrock geology type underlying the 
buffer zone. Uses output from 
GEOMAP7 as input. 
8 SOILMAP6 1.0 Appendix G 
Pentium Pro 
PC, Windows 
NT 4.0 
FORTRAN77 
Estimates soil depths based on 
mapped soil depth classes and 
calculated ground surface slope 
included as input parameters in the 
geospatial parameter input file created 
as output from GEOMOD4. 
9 SORTGRD1 1.0 Appendix H Pentium Pro 
PC, Windows 
NT 4.0 
FORTRAN77 
Performs a bubble sort on the 
geospatial parameter input file based 
on elevation (sorts elevation from 
highest to lowest). The sorted file 
increases the efficiency of channel 
routing. Input is provided by 
SOILMAP6. 
10 CHNNET16 1.0 Appendix I Pentium Pro 
PC, Windows 
NT 4.0 
FORTRAN77 
Establishes the numerical channel 
network using elevations from the 
output file generated by SORTGRD1. 
Outputs a new file containing flow 
routing parameters for all grid cells. 
The new output file is used as input to 
WATSHD20. 
11 WATSHD20 1.0 Appendix K 
Pentium Pro 
PC, Windows 
NT 4.0 
FORTRAN77 
Extracts the watershed modeling 
domains based on a user defined 
watershed outflow point and input 
supplied from SORTGRD1 and 
CHNNET16. The output file is supplied 
directly as input to INFIL V2.0. 
12 DAILY09 1.0 Appendix C Pentium Pro 
PC, Windows 
NT 4.0 
FORTRAN77 
Reformats daily climate records 
exported from the EarthInfo database. 
Checks for data gaps and interpolates 
missing data if gaps are small or 
discards annual records if gaps are 
large. 
13 MAPADD20 1.0 Appendix L Pentium Pro 
PC, Windows 
NT 4.0 
FORTRAN77 
Compiles results obtained for individual 
watersheds into a single composite 
watershed-modeling domain, and 
calculates statistics for the composite 
watershed-modeling domain. 
14 MAPSUM01 1.0 Appendix M Pentium Pro 
PC, Windows 
NT 4.0 
FORTRAN77 
Calculates statistics for subareas within 
the composite watershed model 
domain. Uses results from MAPADD20 
and a blanked SURFER grid as input. 
The blanked SURFER grid is created 
using the output from MAPADD20 and 
the boundary line of the subarea. 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 3-4 November 2004 
INFIL VA_2.a1 (SNL 2001 [DIRS 147608], compiled under FORTRAN90), is a modified 
version of INFIL V2.0 specifically to run on the platform COMPAQ Alpha and Operating 
System Open VMS AXP V7.3 at Sandia National Laboratories. This software was used for 
calculation of net infiltration and other output variables (e.g. evapotranspiration, run-off, annual 
flux, etc.) over the entire infiltration region, for the 2004 model validation activities documented 
in Section 7. The equivalency of output produced by INFIL VA_2.a1 and INFIL V2.0 is 
documented in INFIL V2.0, Validation Test Report (USGS 2001 [DIRS 171197]) for INFIL 
VA_2.a1. All model capabilities and attributes ascribed to INFIL V2.0 in Sections 6.2 through 
6.6 apply to INFIL VA_2.a1, as well. 
Other than commercial off-the-shelf software (e.g. ARCINFO V6.1.2 or other geographic 
information system [GIS] products) used in this model report, two versions of standard Microsoft 
Excel (Office 2002 V10.3506.3501 SP-1 and 2000 V9.0.5121 SP-1) and visual display graphics 
programs (Adobe Illustrator V8.0) were also used. These commercial off-the-shelf software are 
not subject to software quality assurance requirements and are exempt from qualification under 
LP-SI.11Q-BSC. 
All electronic files consisting of source data, developed model inputs, model outputs, and 
postprocessing results were maintained and processed according to the seven compliance criteria 
listed in AP-SV.1Q, Control of Electronic Management of Information, (Process Control 
Evaluation for Supplement V). The work activities documented in the model report were 
dependent on electronic media to store, maintain, retrieve, modify, update, and transmit quality 
affecting information. As part of the work process, electronic databases, spreadsheets, and sets 
of files were required to hold information intended for use to support the licensing position. In 
addition, the work process required the transfer of data and files electronically from one location 
to another. 
The use of the input computer files in developing and applying the net infiltration model is 
summarized in Section 6 and documented more fully in Appendix B. The model output files are 
accessible from the Technical Data Management System (TDMS) by data tracking number 
(DTN). 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 4-1 November 2004 
4. INPUTS 
4.1 DIRECT INPUTS 
All direct data inputs used in the development, calibration, and application of the net infiltration 
model to estimate net infiltration for modern and potential future climates are listed in Table 4-1. 
These data and parameters consist of the set of digitized topographic, geologic, and soil maps; 
soil and bedrock hydrologic properties; and present-day and potential future climatic data that 
are appropriate to and required for the development and application of the distributed-parameter, 
quasi-three-dimensional, water-balance approach to watershed modeling that is the basis for the 
net infiltration model. The data referenced in Table 4-1 contain information necessary to 
construct the numerical model, set boundary conditions, and to calibrate and validate the model. 
The data are fully appropriate for the site-scale infiltration model. The qualification status of the 
input sources is provided in the TDMS and listed in the Document Input Reference System 
(DIRS) database. Wherever possible, the most recent DTN is used for tables referencing data. 
All direct inputs listed in Table 4-1 are qualified data, except in the case of Handbook of 
Hydrology (Maidment 1993 [DIRS 125317]), which is considered an Established Fact per 
AP-3.15Q, Managing Technical Input Products. Three formerly non-qualified direct inputs were 
qualified using procedure AP-SIII.2Q, Qualification of Unqualified Data, in this model report. 
They are: DTNs: GS000208312111.003 [DIRS 147247]; MO0003COV00095.000 
[DIRS 146848]; and MO0109HYMXPROP.001 [DIRS 155989]. 
The precipitation datasets that were selected for use in these simulations are discussed in detail in 
Section 6.9.2 for present-day climate states, Section 6.9.3 for potential monsoon climate states, 
and Section 6.9.4 for potential glacial-transition climate states. The development of a 
precipitation dataset used for model calibration, and for prediction of net infiltration during 
present-day climate states is also discussed in Appendix A. The development of the geospatial 
input file used for all model simulations required inputs of digitized topographic, geologic, and 
soil maps, and datasets of soil and bedrock hydrologic properties. The development of this 
geospatial input file and the data required for its development is discussed in detail in 
Section 6.6, and in Appendices B, D, E, F, G, H, I, and J. 
Table 4-1. Direct Input Data 
Description Data Tracking Number 
Handbook of Hydrology. Maidment, D.R., ed. 1993. New York, New York: 
McGraw-Hill. TIC: 236568. 
Established Fact 
[DIRS 125317] 
EarthInfo, Inc. Western US Meteorologic Station Weather Data - NCDC Summary 
of Day (West 1) and NCDC Summary of Day (West 2). Submittal date: 
01/25/2000. 
GS000100001221.001 
[DIRS 146816] 
Precipitation Data for Nevada Test Site, 1957-1994, from Air Resources 
Laboratory, from National Oceanographic and Atmospheric Administration (NOAA) 
Precipitation Data. Submittal date: 2/29/2000. 
GS000200001221.002 
[DIRS 146277] 
NAD27 Datum of USGS Digital Elevation Model from Topopah Spring West and 
Busted Butte 7.5 Minute Quadrangles. Submittal date: 02/18/2000. 
GS000200001221.003 
[DIRS 146278] 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 4-2 November 2004 
Table 4-1. Direct Input Data (Continued) 
Description Data Tracking Number 
Precipitation Data for May 3, 1989 through September 30, 1994 from Weather 
Stations 1 and 3, Yucca Mountain, Nevada. Submittal date: 02/22/2000. 
GS000208312111.001 
[DIRS 147245] 
Air Temperature Data for Calendar Year 1992 from Weather Station 1 (Wx-1), 
Yucca Mountain, Nevada. Submittal date: 02/25/2000. 
GS000208312111.002 
[DIRS 147250] 
Precipitation Data for July 17, 1987 through May 2, 1989 from Weather Stations 1 
and 3, Yucca Mountain, Nevada. Submittal date: 03/01/2000. 
GS000208312111.003 
[DIRS 147247] 
Evapotranspiration Coefficients. Submittal date: 03/02/2000. GS000300001221.009 
[DIRS 147228] 
Preliminary Digital Geologic Map Database of the Nevada Test Site Area, Nevada 
by Sawyer and Wahl, 1995. Submittal date: 03/21/2000. 
GS000300001221.010 
[DIRS 147833] 
Meteorological Stations Selected to Represent Future Climate States at Yucca 
Mountain, Nevada. Submittal date: 03/14/2000. 
GS000308315121.003 
[DIRS 151139] 
Relative Humidity Calculated Porosity Measurements on Samples From Borehole 
USW SD-9 Used For Saturated Hydraulic Conductivity. Submittal date: 
04/10/2000. 
GS000408312231.003 
[DIRS 149461] 
Data For Core Dried in RH Oven and 105 oC Oven for USW UZ-N31, UZ-N32, 
UZ-33, UZ-N34, UZ-N35, UZ-N38, UZ-N58, UZ-N59, UE-25 UZN#63, and USW 
UZ-N64; Data for Core Dried in 105 oC Oven only for USW UZ-N11, UZ-N15, 
UZ-16, UZ-N17, UZ-N27, UZ-N36, and UZ-N37. Submittal date: 04/28/2000. 
GS000408312231.004 
[DIRS 149582] 
UE-25 UZ#16 Pycnometer Data. Submittal date: 05/03/00. GS000508312231.005 
[DIRS 153236] 
Physical Properties and Water Content from Borehole USW NRG-6, 19 Mar 94 to 
27 Mar 95. Submittal date: 05/23/00. 
GS000508312231.006 
[DIRS 153237] 
Physical Properties of Core Samples from Borehole USW UZ-14, from 03/09/94 to 
07/11/94. Submittal date: 07/11/2002. 
GS000508312231.007 
[DIRS 163708] 
Relative Humidity, Temperature, Wind Speed, Wind Direction, Net Solar Radiation 
and Precipitation Data from Five Weather Stations in the Yucca Mountain Area for 
1995 Water Year. Submittal date: 04/24/2004. 
GS010408312111.001 
[DIRS 162978] 
FY95 Laboratory Measurements of Physical Properties of Surficial Material at 
Yucca Mountain, Part II. Submittal date: 01/11/2004. 
GS031208312211.001 
[DIRS 171543] 
USW UZ-N54 and USW UZ-N55 Core Analysis: Bulk Density, Porosity, Particle 
Density and In Situ Saturation for Core Dried in 105 oC Oven. Submittal date: 
05/14/1992. 
GS920508312231.012 
[DIRS 109001] 
USW UZ-N53 Core Analysis: Bulk Density, Porosity, Particle Density, and In-Situ 
Saturation for Core Dried in 105 oC Oven. Submittal date: 10/05/1992. 
GS930108312231.006 
[DIRS 108997] 
Core Analysis of Bulk Density, Porosity, Particle Density, and In-Situ Saturation for 
3 Neutron Boreholes, USW UZ-N57, UZ-N61, and UZ-N62. Submittal date: 
04/01/1994. 
GS940408312231.004 
[DIRS 109000] 
Core Analysis of Bulk Density, Porosity, Particle Density and In Situ Saturation for 
Borehole UE-25 UZ#16. Submittal date: 05/04/1994. 
GS940508312231.006 
[DIRS 107149] 
Surface-Water Discharge Data for the Yucca Mountain Area, Southern Nevada 
and Southern California, 1994 Water Year. Submittal date: 11/30/1994. 
GS941208312121.001 
[DIRS 107374] 
Laboratory Measurements of Bulk Density, Porosity, and Water Content for USW 
SD-12, from 19 Mar 94 to 11 Aug 94, and for Radial Boreholes from 11 Apr 94 to 6 
Feb 95. Submittal date: 03/02/1995. 
GS950308312231.002 
[DIRS 108990] 
UE-25 UZ#16 Pycnometer Data. Submittal date: 03/06/1995. GS950308312231.003 
[DIRS 149374] 
Physical Properties and Water Potentials of Core from Borehole USW SD-9. 
Submittal date: 03/01/1995. 
GS950408312231.004 
[DIRS 108986] 
Moisture Retention Data from Boreholes USW UZ-N27 and UE-25 UZ#16. 
Submittal date: 06/06/1995. 
GS950608312231.008 
[DIRS 144662] 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 4-3 November 2004 
Table 4-1. Direct Input Data (Continued) 
Description Data Tracking Number 
FY94 and FY95 Laboratory Measurements of Physical Properties of Surficial 
Materials at Yucca Mountain, Nevada. Submittal date: 07/18/1995. 
GS950708312211.002 
[DIRS 146874] 
Fracture/Fault Properties for Fast Pathways Model. Submittal date: 07/24/1995. GS950708312211.003 
[DIRS 146873] 
Physical Properties, Water Content, and Water Potential for Borehole USW SD-7. 
Submittal date: 09/26/1995. 
GS951108312231.009 
[DIRS 108984] 
Physical Properties and Water Content for Borehole USW NRG-7/7A. Submittal 
date: 09/26/1995. 
GS951108312231.010 
[DIRS 108983] 
Physical Properties, Water Content, and Water Potential for Borehole USW UZ-7A. 
Submittal date: 09/26/1995. 
GS951108312231.011 
[DIRS 108992] 
Gravimetric and Volumetric Water Content and Rock Fragment Content of 31 
Selected Sites at Yucca Mountain, NV: FY95 Laboratory Measurements of 
Physical Properties of Surficial Material at Yucca Mountain, Part III. Submittal 
date: 01/08/1996. 
GS960108312211.002 
[DIRS 149478] 
Estimated Distribution of Geomorphic Surfaces and Depth to Bedrock for the 
Southern Half of the Topopah Spring NW 7.5 Minute Quadrangle and the Entire 
Busted Butte 7.5 Minute Quadrangle. Submittal date: 04/21/1996. Submit to RPC 
GS960508312212.007 
[DIRS 124829] 
Water Permeability and Relative Humidity Calculated Porosity for Boreholes UE-25 
UZ-16 and USW UZ-N27. Submittal date: 08/28/1996. 
GS960808312231.001 
[DIRS 108998] 
Relative Humidity Calculated Porosity Measurements on Samples from Borehole 
USW SD-9 Used for Saturated Hydraulic Conductivity. Submittal date: 
08/28/1996. 
GS960808312231.002 
[DIRS 108988] 
Moisture Retention Data for Samples from Boreholes USW SD-7, USW SD-9, 
USW SD-12 and UE-25 UZ#16. Submittal date: 08/30/1996. 
GS960808312231.003 
[DIRS 147590] 
Physical Properties, Water Content and Water Potential for Samples from Lower 
Depths in Boreholes USW SD- 7 and USW SD-12. Submittal date: 08/30/1996. 
GS960808312231.004 
[DIRS 108985] 
Water Permeability and Relative Humidity Calculated Porosity for Samples from 
Boreholes USW SD-7, USW SD- 9, USW SD-12 AND USW UZ-14. Submittal 
date: 08/30/1996. 
GS960808312231.005 
[DIRS 108995] 
Surface-Water Discharge Data for the Yucca Mountain Area, Southern Nevada 
and Southern California, 1995 Water Year. Submittal date: 10/10/1996. 
GS960908312121.001 
[DIRS 107375] 
Conceptual and Numerical Model of Infiltration at Yucca Mountain, Nevada. 
Submittal date: 09/12/1996. 
GS960908312211.003 
[DIRS 103775] 
FY96 Site Meteorology Data: Relative Humidity, Temperature, Wind Speed, Wind 
Direction, Net Solar Radiation and Barometric Pressure from Two Weather 
Stations in the Yucca Mountain Area, Oct. 1 - Dec. 3, 1995. Submittal date: 
01/15/1997. 
GS970108312111.001 
[DIRS 125899] 
Revised Bedrock Geologic Map of the Central Block Area, Yucca Mountain, 
Nevada. Submittal date: 12/30/1997. 
GS971208314221.003 
[DIRS 107128] 
Saturated Hydraulic Conductivity of Core from SD-9, 2/27 - 3/27/95. Submittal 
date: 04/27/1999. 
GS990408312231.001 
[DIRS 148711] 
Coverage: Scotbons. Submittal date: 03/01/2000. Submit to RPC MO0003COV00095.000 
[DIRS 146848] 
FY=fiscal year; NCDC=National Climatic Data Center; RH=relative humidity; RPC=Record Processing Center; 
USGS= United Sates Geological Survey 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 4-4 November 2004 
4.2 CRITERIA 
The general requirements to be satisfied by the TSPA are stated in 10 CFR 63.114 
[DIRS 156605]. Technical requirements to be satisfied by the TSPA are identified in Yucca 
Mountain Project Requirements Document (Canori and Leitner 2003 [DIRS 166275]). The 
acceptance criteria that will be used by the U.S. Nuclear Regulatory Commission to determine 
whether the technical requirements have been met are identified in Yucca Mountain Review Plan, 
Final Report (YMRP) (NRC 2003 [DIRS 163274]). The pertinent requirements and criteria for 
this report are summarized in Table 4-2. 
Table 4-2. Project Requirements and Acceptance Criteria Applicable to This Model Report 
Requirement 
Number a Requirement Title a 10 CFR 63 Link 
YMRP Acceptance 
Criteria b 
PRD -002/T-015 Requirements for Performance Assessment 10 CFR 63.114 
(a)-(c) and (e)-(g) 2.2.1.3.5.3, criteria 1 to 4 
a Canori and Leitner (2003 [DIRS 166275]). 
b Yucca Mountain Review Plan, Final Report (YMRP) (NRC 2003 [DIRS 163274]). 
The acceptance criteria identified in Section 2.2.1.3.5.3 of the YMRP (NRC 2003 
[DIRS 163274]) are included below. In cases where subsidiary criteria are listed in the YMRP 
for a given criterion, only the subsidiary criteria addressed by this model report are listed below. 
Where a subcriterion includes several components, only some of those components may be 
addressed. How these components are addressed is summarized in Section 8.4 of this report. 
Acceptance Criteria from Section 2.2.1.3.5.3, Climate and Infiltration. 
Acceptance Criterion 1: System Description and Model Integration Are Adequate. 
(1) The total system performance assessment (BSC 2004 [DIRS 168504]) adequately 
incorporates, or bounds, important design features, physical phenomena, and 
couplings, and uses consistent and appropriate assumptions throughout the climate and 
net infiltration abstraction process. 
(2) The aspects of geology, hydrology, geochemistry, physical phenomena, and couplings, 
that may affect climate and net infiltration, are adequately considered. Conditions and 
assumptions in the abstraction of climate and net infiltration are readily identified and 
consistent with the body of data presented in the description. 
(3) The abstraction of climate and net infiltration uses assumptions, technical bases, data, 
and models that are appropriate and consistent with other related U.S. Department of 
Energy abstractions. For example, the assumptions used for climate and net 
infiltration are consistent with the abstractions of flow paths in the UZ and flow paths 
in the saturated zone (SZ) (Sections 2.2.1.3.6 and 2.2.1.3.8 of the Yucca Mountain 
Review Plan (NRC 2003 [DIRS 163274]), respectively). The descriptions and 
technical bases provide transparent and traceable support for the abstraction of climate 
and net infiltration. 
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MDL-NBS-HS-000023 REV 00 4-5 November 2004 
(5) Adequate spatial and temporal variability of model parameters and boundary 
conditions are employed to model the different parts of the system. 
(6) Average parameter estimates are used in process-level models over time and space 
scales that are appropriate for the model discretization. 
(8) Guidance in NUREG1297 (Altman et al. 1988 [DIRS 103597]) and NUREG1298 
(Altman et al. 1988 [DIRS 103750]), or other acceptable approaches for peer reviews 
and data qualification, is followed. 
Acceptance Criterion 2: Data Are Sufficient for Model Justification. 
(1) Climatological and hydrological values used in the license application (e.g., time of 
onset of climate change, mean annual temperature, mean annual precipitation, mean 
annual net infiltration, etc.) are adequately justified. Adequate descriptions of how the 
data were used, interpreted, and appropriately synthesized into the parameters are 
provided. 
(2) Estimates of present-day net infiltration using mathematical models at appropriate 
time and space scales are reasonably verified with site-specific climatic, surface, and 
subsurface information. 
(3) The effects of fracture properties, fracture distributions, matrix properties, 
heterogeneities, time-varying boundary conditions, evapotranspiration, depth of soil 
cover, and surface-water run off and run on are considered, such that net infiltration is 
not underestimated. 
(4) Sensitivity or uncertainty analyses are performed to assess data sufficiency and 
determine the possible need for additional data; 
(5) Accepted and well-documented procedures are used to construct and calibrate 
numerical models; 
(6) Reasonably complete process-level conceptual and mathematical models are used in 
this model report. In particular: (a) mathematical models provided are consistent with 
conceptual models and site characteristics; and (b) the robustness of results from 
different mathematical models is compared. 
Acceptance Criterion 3: Data Uncertainty is Characterized and Propagated Through the 
Model Abstraction. 
(1) Models use parameter values, assumed ranges, probability distributions, and bounding 
assumptions that are technically defensible, reasonably account for uncertainties and 
variabilities, and do not result in an under-representation of the risk estimate. 
(2) The technical bases for the parameter values used in this abstraction are provided. 
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(4) The hydrologic effects of future climate change that may alter the rates and patterns of 
present-day net infiltration into the UZ are addressed. Such effects may include 
changes in soil depths, fracture-fill material, and types of vegetation. 
Acceptance Criterion 4: Model Uncertainty is Characterized and Propagated Through the 
Model Abstraction. 
(1) Alternative modeling approaches of features, events, and processes, consistent with 
available data and current scientific understanding, are investigated. The results and 
limitations are appropriately considered in the abstraction; 
(3) Consideration of conceptual model uncertainty is consistent with available site 
characterization data, laboratory experiments, field measurements, natural analogue 
information and process-level modeling studies; and the treatment of conceptual 
model uncertainty does not result in an under-representation of the risk estimate. 
4.3 CODES, STANDARDS, AND REGULATIONS 
No codes, standards, or regulations, other than those identified in Project Requirements 
Document (Canori and Leitner 2003 [DIRS 166275], Table 2-3), were used in this model report. 
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5. ASSUMPTIONS 
The assumptions pertaining to this model report are grouped according to the following types of 
investigations conducted: (1) development of the conceptual model of net infiltration, 
(2) development of the numerical model of net infiltration, (3) model calibration and comparison 
to independent methods, (4) model application and the representation of three climate stages 
(present-day, monsoon, and glacial-transition), including the upper bound, mean, and lower 
bound climate scenarios within each climate stage, and (5) development of estimated input 
parameter distributions and climate inputs in support of the net infiltration uncertainty analysis as 
documented in Analysis of Infiltration Uncertainty (BSC 2003 [DIRS 165991]). Significant or 
general assumptions pertaining to this model are noted below. These assumptions are used 
throughout this model report and do not require further confirmation. 
The infiltration model documented in this model report is based on the assumption that 
the 1996 infiltration model, which was based on the distributed-parameter, 
water-balance approach and was calibrated using a variety of field data collected 
from 1984 through 1995, adequately represents the major features and processes 
controlling present-day and future infiltration at Yucca Mountain. The principal basis for the 
assumptions, discussed below, is that the resulting net-infiltration model quantitatively 
accounts for all major water inflow and outflow processes on a cell-by-cell basis and strictly 
imposes the conservation of total water mass within each model cell. The calculation results do 
not account for error propagation from the various components of the mass balance, such as 
measurement error associated with the various model inputs. 
Within each cell of the model domain, water is assumed to move vertically downward within soil 
and bedrock, and that on a 30  30 meter grid block scale, no lateral diversion occurs within the 
root zone. The average land surface slope for the entire model area is 13 with a range 
of 0 to 46 (DTN: GS000308311221.004 [refer to Appendix B, Table B-2 for the headers for 
these files]). Given a land surface slope of approximately 4 to 6, the sine of the 
gravity vector is 0.07 to 0.10. The saturated hydraulic conductivity of the alluvium 
is 5.6  10-6 m/s to 3.8  10-5 m/s and the porosity is 28.1 to 37 percent (Appendix B, Table B-4). 
Using Darcys law and assuming fully saturated flow in a lateral downslope direction, with a 
perched system at the bedrock/alluvium contact that parallels the soil surface, the distance that 
lateral flow would travel in 30 days is approximately 3 to 6 meters, thereby not moving beyond 
the 30  30 meter grid block area. If the slope were 45, the distance would be an order of 
magnitude greater. In the case of vertical preferential flow, effective porosity is higher than 
actual porosity, thereby increasing vertical flow. However, in the case of lateral flow, effective 
porosity is assumed to be approximately equivalent to actual porosity, so lateral flow is not 
significantly increased by preferential flow. According to Hatton (1998 [DIRS 149476]), onedimensional, 
distributed-parameter, water-balance models are appropriate for use unless the 
excess rainfall generates overland flow (which is accommodated by flow routing 
in INFIL V 2.0), or with the development of saturated conditions in soil profiles on slopes. The 
above calculation, and the fact that slopes have very thin soil cover and the underlying fractured 
bedrock has a high-saturated hydraulic conductivity, suggests that subsurface lateral flow can be 
assumed to be insignificant. On the other hand, if water were to move from one grid block 
downslope to the next grid block at the soil/bedrock contact, in a three-dimensional model 
configuration, this volume would be additive and would continue downslope until the slope was 
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reduced, resulting in a shorter lateral travel distance. The total slope would only be affected in 
the uppermost and lowermost grid blocks. This component of error is considered to be 
insignificant relative to the spatial resolution required for the site-scale UZ flow model. 
The development of the climate inputs to the INFIL model is dependent on limited data. For 
example, only one year of temperature data (DTN: GS000208312111.002 [DIRS 147250]) was 
used to develop the relationship in Equation 6-2 for predicting daily air temperature. However, 
this equation is only used if actual temperature data are missing. The duration of the 
precipitation datasets vary, but some of these datasets consist of only a few months of data. The 
precipitation and temperature datasets used in this model report are assumed to be adequate to 
predict climate for the duration of each of the climate periods. The basis for this assumption is 
that multiple datasets from multiple locations are combined into one dataset. 
Rooting depths are assumed to be equivalent to soil depth, with a maximum rooting depth (and 
soil depth) of six meters. However, relative root-zone weighting parameters are small for deep 
roots. Assuming that active roots can extend into bedrock along open or partially filled fractures, 
a maximum effective rooting depth of approximately two meters is assumed for fractured 
bedrock, with a much lower root density and water storage capacity relative to soils. For 
locations with thick soils, the occurrence of net infiltration requires percolation through a deeper 
average rooting depth that is assumed to be approximately six meters. The basis for this 
assumption is supported by water content monitoring data provided by neutron logging 
(Flint et al. 1996 [DIRS 100147]; Flint and Flint 1995 [DIRS 100394]). 
Increases in vegetation density and changes in vegetation type were assumed for wetter and 
colder future climates. For the upper bound monsoon climate, the root-zone weighting 
parameters were adjusted to approximate a 40 percent vegetation cover (as compared to 
20 percent for present-day climate) and the maximum thickness of the bedrock root zone layer 
was increased from two meters to 2.5 meters. For the upper bound glacial-transition climate, the 
root-zone weighting parameters were adjusted to approximate an assumed 60 percent vegetation 
cover and the maximum thickness of the bedrock root zone layer was increased to three meters. 
All adjustments to root-zone parameters were based on assumed root-zone and vegetation 
characteristics for the future climate conditions. Calibration of the root-zone parameters to the 
future climate vegetation characteristics requires developing the net infiltration model for 
analogue field site appropriate for each climate, and this was beyond the work scope of this 
model report. 
Changes in morphology with time due to erosion processes are assumed to be negligible on the 
spatial scale used by INFIL. The erosion of the sediments and exposed bedrock over 
10,000 years is expected to be on the order of centimeters (BSC 2004 [DIRS 169734], 
Section 3.4.6), which is within the range of existing surface elevation irregularities and would 
not significantly affect the processes in the hundreds of meters of UZ. Therefore, the effects of 
soil erosion on infiltration are considered negligible and are reasonably excluded from the TSPA 
calculations (BSC 2004 [DIRS 170012], Section 6.4.1). 
Parameters related to sublimation of snow and evaporation of snowmelt are assumed due to a 
paucity of data regarding these parameters. The basis for this assumption comes from Maidment 
(1993 [DIRS 125317], p. 7.8), who reports sublimation rates for Canada of 41 percent for fallow 
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fields, and 34 percent for stubble. A conservative value of 0.1 (10 percent) for the sublimation 
parameter (A1) was assumed to be representative of conditions at Yucca Mountain. The 
evaporation of snowmelt parameter (A2) was assumed to be three times greater than 
the A1 parameter since sublimation increases as temperature increases (Maidment 1993 
[DIRS 125317], pp. 7.4 to 7.10), and because it includes the evaporation of snowmelt component 
as well as the sublimation component. For all simulations using the snow pack 
submodel, A1 was set to 0.1 and A2 was set to 0.3 in the model control file. 
Vapor flow is assumed to be insignificant in comparison to other water balance components 
(precipitation, evapotranspiration, and runoff) on the spatial scales applied using INFIL in 
response to isolated but intense storms (Flint et al. 1996 [DIRS 100147]; Flint and 
Flint 1995 [DIRS 100394]; Hevesi et al. 1994 [DIRS 125315]). 
Net infiltration is assumed to occur as fracture flow through the Tiva Canyon welded 
hydrogeologic unit (TCw) that is considered within the root zone. This assumption is based on 
relative changes in measured water content profiles that indicate that the penetration rates of the 
wetting front exceeded that calculated from the saturated hydraulic conductivity of the matrix 
alone. An assumption is also made that saturated fracture flow is maintained only for the 
duration that saturated conditions are maintained along the soil-bedrock interface. These two 
assumptions are based on interpretations of relative changes in the time series of water content 
profiles measured in boreholes by neutron logging (Flint and Flint 1995 [DIRS 100394]), and 
corresponding nearby measurements of water potential at the soil/bedrock contact indicating 
saturated or near saturated conditions (Figure 6-5(A)). The net infiltration rate for the time 
periods when net infiltration is occurring is assumed to be numerically equivalent to the bulk 
saturated hydraulic conductivity of the bedrock. This model does not use pressure gradients to 
induce flow and does not consider positive pressure heads. 
An assumption is made in this model report that there is no downward flow during long time 
periods of no precipitation. This assumption is supported by neutron logging data, which 
indicate that there is zero to negligible downward flow occurring during long time-periods of no 
precipitation. In general, the neutron logging data indicate that the volume of net infiltration 
occurring at Yucca Mountain under conditions of unsaturated flow when the root zone is drier 
than field capacity either in upland areas with thin soils or in locations with thick soils is 
considered negligible compared to the volume of net infiltration occurring as saturated 
flow through bedrock fractures or through thick soils that have reached or exceeded field 
capacity (Flint et al. 1996 [DIRS 100147]; Flint and Flint 1995 [DIRS 100394]; 
Hevesi et al. 1994 [DIRS 100582]; Nichols 1987 [DIRS 101273]). 
Effects of changes in liquid properties, such as viscosity and density, on the saturated field-scale 
hydraulic conductivity of soil and bedrock are assumed insignificant. This assumption is 
justified because temperature variations in the near-surface environment that could affect the 
viscosity or density of water are expected to be small and because dissolved constituents that 
could affect the density of water are expected to be present in insignificant concentrations. 
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6. MODEL DISCUSSION 
The conceptual and numerical models of net infiltration for Yucca Mountain 
(USGS 2003 [DIRS 166518]) and called the 1999 model, were originally developed 
and presented in Conceptual and Numerical Model of Infiltration for the Yucca Mountain Area, 
Nevada (Flint et al. 1996 [DIRS 100147]), called the 1996 model. The 1999 model was used to 
develop infiltration rate maps that were used in TSPA-LA. The models were based on thorough 
analysis of extensive field data collected during 1984 through 1995. The 1999 model 
development (USGS 2003 [DIRS 166518]) does not completely replace the 1996 model, but 
supplements and enhances the 1996 model, particularly with respect to evapotranspiration from 
the root zone and the infiltration of surface run-on in the channels of washes. In addition, the 
1999 model used updated model inputs for bedrock geology and soil depth. Recently, an 
alternative conceptual model was developed using updated effective bedrock permeabilities and 
adjusting other input parameters (such as potential evapotranspiration) in an effort to validate the 
1999 model. The 2004 model is otherwise identical to the 1999 model. 
The net-infiltration modeling process required a combination of applications 
using GIS applications, field measurements (or acquisition of existing field data), parameter 
estimation, visualization and analysis, and the application of developed FORTRAN codes. 
The FORTRAN codes were used for preprocessing model input, the implementation of process 
modeling for simulating net infiltration, and for postprocessing of model results, which included 
the development of net-infiltration estimates for a given climate scenario by averaging separate 
model simulation results. The process modeling for net infiltration consists primarily of an 
hourly energy balance and a daily water balance simulation for a continuous multiyear period. 
The daily net-infiltration rates were averaged over the duration of the simulation for each model 
node1 to obtain spatially distributed, time-averaged net-infiltration rates. 
Section 6 is organized as follows. Subsections 6.1 and 6.2 discuss conceptual and numerical 
models of infiltration. Subsections 6.3 through 6.7 present modeling procedure and model 
inputs. Subsections 6.8 through 6.12 focus on model calibration, model prediction for different 
climates and model uncertainties. 
6.1 CONCEPTUAL MODEL OF INFILTRATION 
The following subsections provide a brief overview of the conceptual model of net infiltration 
for the purpose of describing the physical processes that are represented by the mostly 
deterministic, process-based, numerical model of net infiltration. A more thorough description 
of the conceptual model of net infiltration is provided in Conceptual and Numerical Model of 
Infiltration for the Yucca Mountain Area, Nevada (Flint et al. 1996 [DIRS 100147], pp. 8 to 26). 
1 Model nodes are also referred to as model cells or model grid cells, and represent locations in space for which 
corresponding model calculations are made. The nodes are points at the centers of horizontally equidimensional, 
square grid cells that can be used to define representative areas for each node. 
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6.1.1 Definition of Net Infiltration 
The conceptual model defines net infiltration as water that has percolated from the land surface 
to below the root zone. The root zone herein is defined as the zone from the ground surface to 
some variable depth in soil or bedrock from which infiltrated water is readily removed on an 
annual or seasonal basis by evapotranspiration. The depth of the root zone can be estimated 
from field studies but cannot be defined precisely. In addition, the depth of the root zone 
depends on variable climate and surface conditions controlling vegetation and other factors 
affecting evapotranspiration and is thus transient and spatially variable. Infiltration is the 
movement of water across the air/soil or air/bedrock interface, and percolation is defined as the 
downward movement of water within the UZ. 
6.1.2 Overview of the Conceptual Model of Infiltration 
The current conceptual model of infiltration at Yucca Mountain identifies effective precipitation, 
which is the ratio of precipitation to potential evapotranspiration (PET), as the most significant 
environmental factor controlling net infiltration at Yucca Mountain. The average annual 
precipitation value developed for the INFIL simulations for mean present-day climate and for the 
entire model area is 188.5 mm/year (DTN: GS000308311221.005). On an annual basis, 
effective precipitation is low because PET is much higher than precipitation. However, on a 
daily basis, effective precipitation can be high, particularly during periods with large and 
frequent winter storms. For example, the average penetration depth of infiltration2 into the 
soil/bedrock profile fluctuates on a seasonal basis for a given location, but tends to be greatest in 
the winter due to lower evapotranspiration demands, higher amounts of precipitation, and slow 
snow melt. 
The second most significant environmental factor controlling net infiltration is soil depth. When 
there is sufficient precipitation to produce net infiltration, the spatial distribution is generally 
defined by the spatial variability of soil depth. Field measurements indicate that when the 
soil/bedrock contact reaches near-saturated conditions, fracture flow is initiated in the bedrock as 
evidenced by changes in water content profiles (Flint and Flint 1995 [DIRS 100394], 
pp. 22 to 46). Soils exceeding 6 m in thickness eliminate the infiltration of water to the 
soil/bedrock contact except in some channels (Flint and Flint 1995 [DIRS 100394], pp. 15 to 17, 
and Table 3). Storage capacity in the soil profile is large enough that most water from 
precipitation is held in the root zone and removed by evapotranspiration processes. Soils that are 
less than 6 m deep do not have enough storage capacity to store the volume of precipitation, and 
often allow near-ponding conditions to occur at the soil/bedrock contact, particularly when the 
soil depth is less than 0.5 m. 
The third most significant environmental factor controlling net infiltration is PET. The PET rate 
is determined by the energy balance and depends primarily on net radiation, air temperature, 
ground heat flux, the slope of the saturation-vapor density curve, and advective energy from 
wind. Net radiation depends primarily on solar radiation and surface characteristics, including 
2 The penetration depth of infiltration is identified by the maximum depth at which a wetting front is observed based 
on geophysical logs. 
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topography and albedo. For the current climate at Yucca Mountain, the average annual PET rate 
is calculated to be approximately nine times greater than the average annual precipitation rate 
using precipitation data from Yucca Mountain (Hevesi et al. 1992 [DIRS 116809]) and PET rates 
for a site near Yucca Mountain within the Nevada Test Site (DOE 2001 [DIRS 171281]), and 
using a PET atlas for Nevada (Shevenell 1996 [DIRS 171280]). Therefore, on an annual basis, 
most of the precipitation is removed from the site by evapotranspiration. However, on a daily 
basis, the precipitation, snowmelt, or surface-water run-on rate can be much higher than the 
PET rate, especially during the winter when the PET rate is at a minimum. 
The fourth most significant environmental factor controlling net infiltration is bedrock 
permeability. At Yucca Mountain welded tuffs of the Tiva Canyon welded (TCw) 
hydrogeologic unit, and nonfractured, nonwelded tuffs of the Paintbrush nonwelded 
hydrogeologic unit are the principal rock types present in surface exposures or directly under 
soils. The saturated hydraulic conductivity of the nonwelded Paintbrush nonwelded matrix is 
higher than the TCw matrix (Flint 1998 [DIRS 100033], Table 7). The lower storage capacity of 
the fractured, welded tuffs allows moisture that has infiltrated to penetrate more deeply than in 
the nonwelded tuffs. Hydraulic properties of fractures calculated for this study depend on 
fracture aperture and whether or not the fractures are open or filled with calcium carbonate or 
siliceous materials. Based on numerical simulations of water flow through a block of variably 
saturated fractured tuff, Kwicklis et al. (1998 [DIRS 102121], p. 60) suggest that the infiltration 
of water into a fractured welded tuff, such as the TCw, will be controlled by the water potential 
at the soil-bedrock interface. Because the apertures and the air-entry water potentials 
(1/alpha parameter) of unfilled fractures (Kwicklis et al. 1998 [DIRS 102121], Table 6) are 
larger than the overlying soils (Appendix B, Table B-4), the initiation of fracture flow should 
occur only under saturated or near-saturated conditions. Fracture densities and matrix 
permeabilities are variable among the geologic units at Yucca Mountain. 
Shallow infiltration processes at Yucca Mountain can be described on the basis of four 
infiltration zones that can be identified based on the manner in which volumetric water content 
changes with depth and time (Flint and Flint 1995 [DIRS 100394]). The zones, which correlate 
with topographic position, are described as follows: (1) Ridgetops are flat to gently sloping, of 
higher elevation than the other zones, and have thin soils composed of both eolian deposits and 
soils developed in place from the weathering process. These soils often have higher clay content 
and higher water-holding capacity compared to soils on side slopes and alluvial terraces. The 
ridge tops generally are located where the bedrock is moderately to densely welded and 
fractured. The presence of thin soil and fractured bedrock results in the deeper penetration of 
moisture following precipitation compared to other topographic positions. In some locations 
where runoff is channeled, large volumes of water can infiltrate. For the present-day arid 
climate, runoff generally is restricted to the upper headwater portions of drainages and to 
locations downstream of areas that have very thin soils underlain by relatively impermeable 
bedrock. (2) Side slopes are steep, commonly have thin to no soil cover, and are usually 
developed in welded, fractured tuff. The steepness of the slopes creates conditions conducive to 
rapid run off. The low storage capacity of the thin soil cover and the exposure of fractures at the 
surface may enable small volumes of water to infiltrate to greater depths, especially on slopes 
with north-facing exposures and therefore lower evapotranspiration demands. Shallow alluvium 
at the bases of the slopes can easily become saturated and initiate flow into the underlying 
fractures. (3) Alluvial terraces are flat, broad deposits of layered rock fragments and fine soil 
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with a large storage capacity. Little runoff is generated on the terraces and the precipitation that 
falls there does not move below a depth of 1 to 2 m before it is removed by evapotranspiration. 
Consequently, this zone contributes the least to net infiltration in the drainage basin. (4) Active 
channels are similar to the terraces but are located in a position to collect and concentrate runoff 
that, although occurring infrequently, can penetrate deeply. Although local net infiltration can be 
high for some channel locations, under the current arid climate, this mechanism is not considered 
a major contributor to the total volume of net infiltration at Yucca Mountain because run off is 
infrequent and because the channels areas include only a very small percentage of the total 
drainage basin area. 
6.1.3 The Hydrologic Cycle 
In the conceptual model, the hydrologic cycle is used to identify, define, and separate the various 
field-scale components and processes controlling net infiltration (Figure 6-1). The hydrologic 
cycle is a basic conceptual tool used to visualize and define the various components of the 
field-scale water balance (Maidment 1993 [DIRS 125317], Figure 1.2.1, p. 1.4; Freeze and 
Cherry 1979 [DIRS 101173], Figure 1.1, p. 3). The hypothetical starting point of the hydrologic 
cycle is precipitation, which for current (present-day) climate at Yucca Mountain occurs 
primarily as rain but can also occur as snow. Precipitation can accumulate on the ground 
surface3, infiltrate the soil or exposed bedrock4 surfaces, contribute to run off, or accumulate as 
snow. The contribution of precipitation to runoff generation depends on precipitation intensity 
relative to soil and exposed bedrock hydraulic conductivity, and also on the available storage 
capacity of soil and shallow bedrock with thin or no soil cover. Water accumulated in the snow 
pack can sublimate into the atmosphere or become snowmelt, which can then infiltrate, 
evaporate, or contribute to run off. Rain or snowmelt that becomes runoff accumulates in 
surface depressions and basins or contributes to surface water flow, which is routed to 
downstream locations as run-on.5 Run-on contributes to either infiltration or accumulated 
surface-water run-on at downstream locations. 
Infiltrated water percolates through the root zone as either saturated or unsaturated ground water 
and is subject to evapotranspiration. Water percolating through the root zone is available as 
potential net infiltration, but the actual net-infiltration rate is limited by the bulk (or field-scale) 
saturated hydraulic conductivity of the bedrock or soil underlying the root zone. In the 
conceptual model, the bulk saturated hydraulic conductivity represents a weighted averaging of 
the field-scale matrix and fracture saturated hydraulic conductivity (Appendix B, Part 2). 
Estimates of saturated hydraulic conductivity were calculated using the measured values of 
fracture conductivity and the percentage of area covered by the fracture per square meter of rock, 
given the fracture density and aperture size available for water to flow through. When 
infiltration from rain, snowmelt, or surface-water run on occurs at a rate greater than the bulk 
saturated hydraulic conductivity of a subsurface layer, water will begin to fill the available 
3Some precipitation can also be intercepted and temporarily stored at vegetation surfaces, but this component of the 
hydrologic cycle is negligible at the study site. 
4Bedrock is used as a general term referring to all consolidated rock material that is either exposed (outcropping) or 
overlain by unconsolidated soil material. 
5Runoff is specifically defined as the volume or depth of water accumulation on the ground surface prior to being 
routed as surface-water flow, whereas run-on is defined as the volume or depth of the routed surface-water flow. 
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storage capacity of the overlying soil. When the total storage capacity is exceeded, run off is 
generated. While run off can occur while the subsurface is still unsaturated due to precipitation 
exceeding the saturated hydraulic conductivity of the soil, this is on a relatively small scale (less 
than 30 by 30 m), and irrelevant to modeling of 30 by 30 m grid blocks. 
In the Yucca Mountain area, the hydrologic cycle can be limited to atmospheric, surface, and 
shallow subsurface processes because contributions from ground water discharge and the deep 
UZ are insignificant relative to the other components of the cycle (there is no perennial stream 
flow at the site). 
Transpiration Evaporation 
Precipitation 
Drainage 
Change in Storage 
Bedrock Soil 
Infiltration 
Run-on/runoff 
Redistribution 
Net 
Infiltration 
Boundary 
Percolation 
Recharge 
Unsaturated Zone 
Saturated Zone 
Source: Flint et al. 1996 [DIRS 100147], Figure 3 
Figure 6-1. Field-Scale Water Balance and Processes Controlling Net Infiltration 
6.1.4 Evapotranspiration 
Evapotranspiration is the combined process of bare-soil evaporation and transpiration (excluding 
evaporation from open water bodies) (Freeze and Cherry 1979 [DIRS 101173], p. 4). 
Transpiration is the uptake and transfer of water to the atmosphere by vegetation. Transpiration 
is much more efficient than bare-soil evaporation in removing water from subsurface soils and 
fractured bedrock. Evapotranspiration is a function of the PET rate, the availability of water at 
the ground surface and within the root zone, vegetation characteristics such as timing of plant 
growth and root density, and the chemical and hydrologic properties of the root zone. The 
processes are not independent, but in general, the primary factors controlling evapotranspiration 
(Net Infiltration) 
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are PET, water availability, vegetation density, and seasonal vegetation growth. The more 
saturated the soil (or fractured bedrock) and the denser the vegetation, the closer the transpiration 
rate is to the PET rate. If the soil (or fractured bedrock) becomes drier than what is conceptually 
referred to as the wilting point, transpiration will not occur even though there may be 
some residual water in the root zone. The redistribution of water within the root zone affects the 
total evapotranspiration rate because bare-soil evaporation extends to depths of 
approximately 10 to 30 cm (Hanks et al. 1967 [DIRS 171454]), and the density and growth of 
roots within the root zone in general is typically observed to decrease with depth. The more 
quickly water redistributes to lower depths the greater the potential for net infiltration to occur 
because the overall susceptibility of water in the root zone to removal by evapotranspiration 
decreases with depth. 
The PET rate is determined by the energy balance and depends primarily on net radiation, air 
temperature, ground heat flux, the slope of the saturation-vapor density curve, and advective 
energy from wind (McNaughton and Spriggs 1989 [DIRS 117096]; Priestley and 
Taylor 1972 [DIRS 125321]; Flint and Childs 1991 [DIRS 124946]). Net radiation depends 
primarily on solar radiation and surface characteristics including topography and albedo. For the 
current climate at Yucca Mountain, the average annual PET rate for a site near Yucca Mountain 
within the Nevada Test Site (DOE 2001 [DIRS 171281]) and using a PET atlas for Nevada, 
(Shevenell 1996 [DIRS 171280]) is calculated to be approximately nine times greater than the 
average annual precipitation rate of 170 mm/year (Hevesi et al. 1992 [DIRS 116809]). Thus, on 
an annual basis, most of the precipitation is removed from the site by evapotranspiration. 
However, on a daily basis, the precipitation, snowmelt, or surface-water run-on rate can be much 
higher than the PET rate, especially during the winter when the PET rate is at a minimum. The 
precipitation and PET data measured over time periods of between one and 10 years is assumed 
to be representative of climate conditions for the next 400 to 600 years, described as the 
remainder of the present-day climate in Future Climate Analysis (BSC 2004 [DIRS 170002]). 
6.1.5 Net Infiltration 
Net infiltration at Yucca Mountain is dominantly an episodic process that tends to occur only 
under wetter than average conditions or in response to isolated but intense storms (Flint et al. 
1996 [DIRS 100147]; Flint and Flint 1995 [DIRS 100394]; Hevesi et al. 1994 [DIRS 125315]). 
For upland areas having thin soils and rooting depths, the occurrence of net infiltration requires 
saturated or near-saturated conditions at the soil/bedrock interface and within shallow bedrock 
fractures to initiate flow through open or filled fractures (Section 6.1.2). 
For larger storm or snowmelt events, water can accumulate in the root zone more rapidly than it 
can be removed by evapotranspiration. This is especially true during winter when PET is at a 
minimum due to shorter days, lower sun angle, lower air temperatures, and root activity is either 
diminished or dormant. The downward percolation rate through the root zone under these 
conditions depends primarily on the storage capacity of the root zone and the field capacity and 
hydraulic conductivity of the soil and bedrock. The total storage capacity of the soil is defined as 
the porosity minus the residual water content multiplied by the soil depth. Field capacity 
is defined as the water content of the near surface soil profile (i.e., the root zone) at which 
drainage becomes negligible (several orders of magnitude less than the saturated flux rate) 
(Jury et al. 1991 [DIRS 102010], p. 150). Field capacity is an old soil physics concept intended 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-7 November 2004 
to provide a characteristic index of how much water may be retained from a rainfall event after 
redistribution has ceased. In actual field conditions, water drains continually under gravity. 
However, in coarse-textured soils such as those found at Yucca Mountain, the drainage 
rate falls to an insignificant level within a few days, after which the water content is changing 
at such a slow rate that a field capacity concept has no practical value 
(Jury et al. 1991 [DIRS 102010], p. 150). In coarse, skeletal soils found in southwestern Oregon, 
the water content at a water potential of -0.07 bars corresponds to the soil field capacity (Flint 
and Childs 1984 [DIRS 147279]). Flint and Childs (1984 [DIRS 147279]) argued that the 
water content at close to -0.1 bars was more appropriate for field capacity than the 
assumption of 0.33 bars that was commonly used, based on soil textures common to agricultural 
fields. For thick soils, reaching or exceeding field capacity at a depth of 6 m tends to occur only 
for locations subject to concentrated surface-water flow, such as active stream channels and the 
base of steep side slopes. For upland areas with thin soils, the percolation rate through the root 
zone depends on the field-scale storage capacity, and once exceeded, the hydraulic conductivity 
of bedrock. The effective field capacity of the root zone in upland areas is determined by 
bedrock lithology, fracture characteristics (density, aperture, filling), and the characteristics of 
the soil/bedrock interface, in addition to the characteristics of the overlying soil. The volumetric 
water content of soils (at field capacity) that corresponds to the water potential of 0.1 bars, and 
is used for modeling infiltration at Yucca Mountain is given in Appendix B, Geospatial Input 
for INFIL V2.0 (Table B-4). 
In general, the volume of net infiltration occurring at Yucca Mountain under conditions of 
unsaturated flow when the root zone is drier than field capacity either in upland areas with thin 
soils or in locations with thick soils is considered negligible compared to the volume of net 
infiltration occurring as saturated flow through bedrock fractures or through thick soils that have 
reached or exceeded field capacity (Flint et al. 1996 [DIRS 100147]; Flint and Flint 1995 
[DIRS 100394]; Hevesi et al. 1994 [DIRS 100582]; Nichols 1987 [DIRS 101273]). 
6.2 NUMERICAL REPRESENTATION OF THE CONCEPTUAL MODEL 
The numerical representation of the conceptual model depends on the modeling decision that 
simplification of physical processes characterized by the conceptual model can be achieved 
while maintaining a sufficient level of accuracy in the mathematical approximation of these 
physical processes. Simplifications of this nature are virtually universal in any modeling of real 
physical processes. Note that this decision is supported, in part, by model calibration (and 
recalibration) and model validations. Nevertheless, such simplification to achieve a tractable 
numerical representation will be only an approximation to reality (by definition) and cannot 
predict all behaviors of the real system. In view of this fact, the effort has been made to produce 
a numerical model that produces conservative, if not accurate, results. 
On the basis of numerous Yucca Mountain Project (YMP) peer reviews 
(e.g., CRWMS M&O 1997 [DIRS 100335], Section 3.4.1) and several publications 
(e.g., Hatton 1998 [DIRS 149476], pp. 5 to 7, 16), INFIL, which uses a distributed parameter, 
quasi-three-dimensional water-balance approach, and associated assumptions, is considered 
appropriate for the complexity of this model and is relevant in this large-scale application of 
providing the upper boundary condition to the UZ flow model. Note that this approach does not 
necessarily represent the physics of infiltration in soils, but uses a water-volume calculation 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-8 November 2004 
approach in the mathematical and numerical models. This model has been compared 
successfully to several independent approaches to estimating net infiltration and recharge, and 
more rigorous methods based, for example, on detailed numerical solution of the differential 
equations of groundwater and surface-water flow, which would be computationally intensive for 
use in this large-scale application. Also note that UZ flow model expert elicitation (CRWMS 
M&O 1997 [DIRS 100335], Section 3.4.1) called for consideration of uncertaities in infiltration 
estimates. As discribed in Section 6.10, the detailed uncertainty analysis was presented in 
Analysis of Infiltration Uncertainty (BSC 2003 [DIRS 165991]) and a future discussion of 
effects of bedrock permeability are provided in Section 7 of this report. 
6.2.1 Accuracy and Precision of Model Calculations 
The simulation of net infiltration primarily involved a water-balance calculation and the 
application of the conservation of mass principle. All water-balance calculations were 
performed as water-depth balances (which are easily converted to volume balances6), and thus an 
assumption has been made that calculation errors due to temperature effects on water density are 
negligible relative to the level of precision needed for net-infiltration estimates. 
Model calculations were performed using double precision variables and 
standard FORTRAN77 programming language. The model code performs several internal 
mass balance checking calculations that are used to test the precision of the overall water-balance 
simulation (program testing and software validation are described thoroughly in the software 
qualification documentation). For estimated average annual net-infiltration rates, model results 
are provided for each model grid cell to the nearest 0.00001-millimeter (mm) water depth for all 
components of the water balance to allow for additional mass-balance checking using 
postprocessing procedures. This level of precision does not indicate the level of accuracy in 
model results. Based on the average number of significant figures in model input, the number of 
significant figures that can be applied to model results should not exceed two. This level of 
output accuracy is subjectively based on the average level of precision in model inputs. 
6.2.2 Accuracy of Input Parameters 
Uncertainty in the accuracy of model inputs was not incorporated into the results developed in 
this model report. The uncertainty of the input parameters is bounded by ranges of some 
selected input parameters, and implemented in an infiltration uncertainty analysis (BSC 2003 
[DIRS 165991]). The uncertainty analysis was used to calculate relative weighting factors of 
mean, lower, and upper bounds of net infiltration, for a given climate state that were used with 
UZ flow fields in TSPA (BSC 2004 [DIRS 168504]). 
6 Model calculations are performed as water-depth balances, and are converted to volume balances based on model 
grid cell area, which is 900 m2 for all model grid cells. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-9 November 2004 
6.3 GENERAL DESCRIPTION OF MODELING PROCEDURE 
6.3.1 Overview of Distributed-Parameter Water-Balance Model 
The distributed-parameter, water-balance model developed as the FORTRAN program 
INFIL V2.0 (USGS 2000 [DIRS 139422]) follows the conceptual model of infiltration discussed 
in Section 6.1, and is represented using a storage volume approach for modeling the root-zone. 
The total root-zone water storage capacity was calculated using the 30 by 30 m area of each grid 
cell multiplied by the depth of the root-zone (including soil and bedrock layers). The root-zone 
water balance calculation used to model net infiltration is illustrated by Figure 6-2. Infiltration 
into the root-zone and net infiltration below the root-zone was calculated independently for all 
grid cells and corresponding root-zone storage volumes. Because all grid cells have equal areas, 
the root-zone water storage terms were calculated as one-dimensional vertical storage depths, 
which can easily be converted to volumes based on grid cell areas. The components of the 
root-zone water balance were determined for each layer using the water content of each layer. 
For water contents less than or equal to the water content at field capacity, infiltration was set to 
zero and water loss due to evapotranspiration from that layer was modeled as an empirical 
function of relative saturation (with relative saturation based on porosity and the residual water 
content) and PET (Flint and Childs 1991 [DIRS 124946]). For water contents greater than the 
water content at field capacity, water losses due to both infiltration and evapotranspiration from 
the layer were calculated. Infiltration into the underlying layer was set equal to the bulk 
saturated hydraulic conductivity of that layer (in millimeters per day). If the available water for 
net infiltration (calculated based on the amount of water remaining after evapotranspiration 
losses have been calculated) is less than the maximum infiltration amount determined using 
saturated hydraulic conductivity, water loss to infiltration was set equal to the amount of 
available water in the layer. For the lowermost root-zone layer in thick (6 m or greater) soils, the 
daily water loss to infiltration is used to determine net infiltration. For upland areas with shallow 
soils where the root-zone is modeled as having a lowermost layer in bedrock, the amount of 
water available to evapotranspiration losses was calculated using the fracture porosity and the 
thickness of the bedrock layer. Once the water content of the bedrock layer has reached the limit 
defined by the fracture porosity, if water continues to infiltrate or percolate into the bedrock 
layer, net infiltration was calculated based on either the saturated hydraulic conductivity of the 
bedrock layer or the amount of available water (whichever determines the lower net infiltration 
amount). 
On a daily basis, precipitation, snowmelt, and surface water run-on were added (as water depth) 
to the top layer of the root-zone profile at each grid cell. The surface water run-on depth was 
calculated as runoff generated and routed from upstream grid cells. If the amount of 
precipitation, snowmelt, and run-on added to the top layer exceeds the maximum daily amount 
calculated using the saturated hydraulic conductivity of the soil, then runoff (set equal to the 
amount of excess water) occurred at that grid cell location and was routed to the downstream 
grid cell. Surface-water flow depths were routed as part of an instantaneous flow routing 
algorithm representing a daily water balance. All overland flow was routed as a 
time-independent flow depth for each grid cell within a 24-hour time step (the physics of 
overland flow are not considered in this type of model). Daily surface water flow volumes were 
calculated using grid cell areas and converted to standard stream discharge units (cubic feet per 
second and total water volumes (acre-feet) for comparison with measured stream flow records. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-10 November 2004 
No differential (or approximate difference) equations modeling surface water flow were used to 
develop the stream-flow routing used here. Furthermore, no kinematic and inertia effects, or 
flood waves and backwater effects were modeled. As indicated in Section 6.4.7, this treatment is 
based on a consideration that no need exists to predict a flood wave, peak flows, or backwater 
effects. Additional factors not being considered are density changes due to temperature changes 
throughout the water profile, gravitational acceleration, resistance terms, viscosity changes due 
to sediment load, phase changes, changes in fluid hydraulics due to shifts from turbulent to 
laminar flow, flow dispersion and dynamic shifts in channel geometry due to concurrent stream 
bed erosion and deposition. The only physical process being represented by this model is the 
lateral redistribution and subsequent infiltration of the run off water volume and that this can be 
adequately modeled based on elevation alone is an assumption. In addition, the details of 
positive heads in active channels are insignificant relative to the uncertainty of available input 
parameters required to accurately define stream channel geometry for the entire stream channel 
network represented by this model. 
For locations where the lowermost root-zone layer is in bedrock, net infiltration is numerically 
equal to the bulk saturated hydraulic conductivity of the underlying bedrock (in millimeter per 
day) for the period of time where the water content of the lowermost root-zone layer exceeds the 
field capacity of that layer. Net infiltration was simulated as the bulk saturated hydraulic 
conductivity of the underlying bedrock when the water content of the bedrock root-zone layer 
equals the fracture porosity of that layer. This condition was maintained only as long as the field 
capacity of the bottom soil layer (the soil layer above the bedrock layer) was exceeded. Thus, 
for upland areas with shallow soils, net infiltration was simulated as an episodic process 
requiring saturated conditions at the soil/bedrock interface and throughout the effective flow path 
of the bedrock layer included in the root-zone. 
For locations with thick (greater than 6 m) soil, net infiltration does not require saturated 
conditions at the bottom of the root zone, but does require that the water content of the bottom 
soil layer exceeds the field capacity of the layer. For upland areas, water is assumed to pond at 
the soil/bedrock interface and after saturating the effective flow path through the bedrock 
root-zone layer percolates below the root-zone as net infiltration on a daily basis under a unit 
gradient. In all cases, water losses due to evapotranspiration were simulated for all root zone 
layers having a water content greater than residual prior to the calculation of net infiltration. 
During winter when PET is at a minimum, ponded or saturated conditions at the soil/bedrock 
interface and throughout the effective flow path of the bedrock root-zone layer may exist for 
several days. Thus, the total net infiltration was calculated as approximately the saturated 
hydraulic conductivity multiplied by the number of days net infiltration occurred. For days when 
the amount of water available for net infiltration is less than the limit set by the saturated 
hydraulic conductivity of the bedrock (this condition applies only to the last day of an extended 
net infiltration event), net infiltration equals the amount of water available to net infiltration in 
the lowermost root-zone layer. 
The daily water balance model was applied over a continuous multiyear period and was driven 
by the continuous daily climate input provided for the total simulation period. The daily net 
infiltration rates calculated for each grid cell location were used to calculate an average annual 
net infiltration rate for each grid cell based on the total simulation period. The average annual 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-11 November 2004 
net infiltration rate was calculated in units of length per time (mm per year), and can be directly 
applied as a specified flux upper boundary condition for the UZ flow model. 
Figure 6-2. The Daily Root-Zone Water-Balance Used to Model Net Infiltration 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-12 November 2004 
6.3.2 Overview of Modeling Procedure 
The net infiltration modeling procedure begins with building a geospatial input parameter base 
grid using the selected digital elevation model (DEM) to define the base-grid geometry. The 
development of the geospatial input parameter base grid and the separate watershed modeling 
domains requires the application of GIS to transfer available digitized map data, which is in a 
vector-based format, onto the grid-cell of the raster-based format of the DEM (a process referred 
to as rasterization). The vector-based map coverages used as input by the net infiltration model 
include bedrock geology and soil type maps. In addition to the rasterization procedure, 
GIS applications were also used for calculating slope and aspect as well as latitude and longitude 
coordinates for all grid cells. Geospatial parameters that are not available as either raster-based 
or vector-based map coverages were developed using a series of FORTRAN routines that were 
applied sequentially. The routines were used to overlay three separate bedrock geology maps 
(after rasterization), estimate soil thickness, calculate the blocking ridge parameters, calculate 
surface water flow routing parameters, and extract the watershed model domains. 
The elevation provided by the composite DEM is the primary geospatial parameter used by the 
net infiltration model. Elevation was used to define the surface-water flow-routing network, 
which was in turn used to define watershed-modeling domains, which were extracted from the 
base grid and modeled separately as closed hydrologic systems. Elevation was used to define 
slope, aspect, and blocking ridge parameters for modeling incoming solar radiation that was in 
turn used in an energy balance calculation for modeling PET. The calculated slope was also 
used to model soil thickness. Additional uses of elevation values in the net infiltration model 
include estimation of spatially distributed daily climate input (precipitation and air temperature). 
In addition to the geospatial input parameters, the daily climate input and the model parameter 
inputs were defined prior to application of the net infiltration model. Daily climate input 
includes precipitation and air temperature. Model parameters include soil properties, bedrock 
properties, and root-zone parameters. An initial condition consisting of the root-zone water 
content was also defined prior to model application. 
The following steps summarize the net-infiltration modeling procedure: 
1. Acquisition and/or development of GIS map coverages and the application of 
ARCINFO V6.1.2. for the rasterization of geospatial parameters onto the base grid 
defined by the DEM for Yucca Mountain. Conversion of grid cell coordinates to both 
Universal Transverse Mercator (UTM) zone 11 and geographic (latitude and 
longitude) using ARCINFO V6.1.2. 
2. Calculation of topographic parameters, including grid cell slope and aspect 
using ARCINFO V6.1.2, and 36 blocking-ridge angles for each grid cell using the 
routine BLOCKR7 V1.0 (the blocking-ridge angles used in the geospatial-parameter 
input file for INFIL V2.0 are the same as those used in the input file for 
the 1996 INFIL V1.0 model). 
3. Estimation of soil depth and refinement of bedrock geology (rock-type identification) 
using the programs GEOMAP7 V1.0, GEOMOD4 V1.0, and SOILMAP6 V1.0. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-13 November 2004 
4. Adjustment of some bedrock permeability values using the 
program VEGCOV01 V1.0. The routine changes the saturated hydraulic 
conductivity of 13.83 mm/day of the Yucca Mountain Tuff of the Paintbrush Group 
(rock type 324). The different saturated hydraulic conductivity is assigned if the 
exposed Yucca Mountain Tuff is north of 4082606.93 m (rock type 309 is 
assigned with a saturated hydraulic conductivity of 0.06 mm/day) or 
south of 4079955.91 m north (rock type 308 is assigned with a saturated hydraulic 
conductivity of 46.66 mm/day) on Yucca Mountain. Table B-3 lists saturated 
hydraulic conductivities for all geologic units used with INFIL. 
5. Calculation of surface-water flow routing parameters for each model grid cell using 
the DEM and the programs SORTGRD1 V1.0 and CHNNET16 V1.0. 
6. Identification of watershed outflow locations using TRANSFORM7 V3.3 for raster 
data visualization and output from CHNNET16 V1.0. Extraction of watershed 
modeling domains, including calibration modeling domains, using the DEM, the 
identified outflow locations, the calculated surface-water flow-routing parameters, and 
the program WATSHD20 V1.0. 
7. Development of a daily climate input file (mod3-ppt.dat) for model calibration and 
present-day climate simulations using available precipitation records from monitoring 
sites within the study area and in the proximity of Yucca Mountain. Development of 
mod3-ppt.dat is performed within an EXCEL spreadsheet (mod3-ppt.xls) using a linear 
interpolation method. 
8. Estimation of precalibration model coefficients and initial conditions for root-zone 
water contents. 
9. Calibration of root-zone model coefficients included as input in model control file for 
modeling program INFIL V2.0 by comparing simulation results for calibration 
watersheds against stream flow records. 
10. Development of 100-year daily climate input files for present-day climate scenarios 
using available precipitation records from the Nevada Test Site stations 4JA and 
Area 12 Mesa and the programs MARKOV V1.0 (USGS 1996 [DIRS 147316]) and 
PPTSIM V1.0. (USGS 1996 [DIRS 147317]). Development of daily climate input for 
future climate scenarios using the routine DAILY09 V1.0 and seven selected analogue 
records from the EARTHINFO8 database. 
7 TRANSFORM is a registered trademark of Fortner Software LLC, 100 Carpenter Dr, Sterling, VA 20164. 
8 EARTHINFO is a registered trademark of EarthInfo Inc., 5541 Central Avenue, Boulder, CO 80301. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-14 November 2004 
11. Application of INFIL V2.0 using developed daily climate input (mod3-ppt.dat, 
4ja.s01, area12.s01, nogales.inp, hobbs.inp, rosalia.inp, spokane.inp, stjohn.inp, 
beowawe.inp, and delta.inp), calibrated or estimated root-zone model coefficients, and 
watershed modeling domains for net-infiltration simulations. 
12. Development of net-infiltration estimates for nine separate climate scenarios (lower, 
mean, and upper bound for present-day, monsoon, and glacial-transition climates) by 
averaging or sampling from individual net-infiltration simulations using the routine 
MAPADD20 V1.0. Development of descriptive statistics for results over the areas of 
the repository boundary and the UZ flow-modeling domain using SURFER9 V6.04 and 
the routine MAPSUM01 V1.0. Development of model results as GIS coverage using 
ARCVIEW10 V3.1, TRANSFORM V3.3, and SURFER V6.04. 
6.3.3 Overview of Model Input 
User-defined model inputs for INFIL V2.0 consist of four general groups: (1) geospatial 
parameters, (2) hydrologic properties, (3) empirical model coefficients, and (4) daily climate 
input. Additional model coefficients are defined within the model source code. A detailed 
description of model inputs is provided in Sections 6.3 through 6.7. A detailed description of 
model input files, including descriptions of file formats, model options, and input and output 
options, is provided in the users manuals for INFIL V2.0, prepared under the software 
qualification procedure LP-SI.11Q-BSC, Software Management. 
The data acquired or developed and used as input for modeling net infiltration consist of either 
ASCII digital data or proprietary formats for acquired, exempt software applications 
(ARCINFO map coverages, EARTHINFO data formats). All model input required directly for 
simulating net infiltration using the developed model code INFIL V2.0 is provided by three 
ASCII files: 
 Model control file: specifies input and output options, input and output file names, 
modeling options, simulation period, model coefficients, and hydrologic properties. 
 Daily climate input file: defines the temporal domain for the model simulation and 
consists primarily of day number and daily precipitation amount in millimeters. The file 
can also include daily maximum, minimum, and mean air temperature in degrees 
Celsius, and snowfall accumulation in water equivalent millimeter data (measured 
snowfall data are not used by INFIL V2.0, see Section 6.4.3). 
 Geospatial parameter input file: consists of location coordinates and spatially variable 
grid cell parameters for all grid cells defining the model domain. Grid cell variables 
include elevation, slope, aspect, surface-water flow-routing parameters, soil type, soil 
depth, bedrock type, and 36 blocking ridge parameters. 
9 SURFER is a registered trademark of Golden Software, Inc, 809 14th Street, Golden, CO 80401-1866 
10 ARCVIEW is a registered trademark of ESRI, 210 Business Center Court, Redlands, CA 92373 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-15 November 2004 
The 1999 infiltration model output (DTN: GS000308311221.005) was then applied over the 
domain of the site-scale UZ flow model (BSC 2004 [DIRS 169861]). 
6.3.4 Assumptions Concerning Model Calibration 
Direct data input used for model calibration are listed in Table 4-1 and in the appendices and are 
described in detail by Flint et al. (1996 [DIRS 100147]) as well as various sections throughout 
this report. They include soil hydrologic properties, bedrock hydrologic properties, vertical 
water-content profiles in soils and bedrock, and meteorological data. The 1996 infiltration 
model that was calibrated using these data is assumed to be an adequate starting point for the 
enhancements included in the 1999 model and that the 1999 model calibration may build on the 
calibration performed in 1996. The calibrations of the 1996 and 1999 models are described in 
Section 6.8. The 1999 model calibration used stream flow measurements from U.S. Geological 
Survey (USGS) gauging stations for 1994 and 1995 (DTNs: GS941208312121.001 
[DIRS 107374], GS960908312121.001 [DIRS 107375]). 
The 1996 infiltration model was calibrated using water-content profiles at Yucca Mountain 
obtained by geophysical logging a network of up to 98 boreholes with neutron-moisture probes 
at monthly or weekly intervals during 1984 through 1995. Analysis of depth versus time 
water-content changes from this network provided critical information for the development of 
the conceptual model, particularly with respect to relative magnitudes of net infiltration for 
different topographic locations (Flint et al. 1996 [DIRS 100147]; Flint and 
Flint 1995 [DIRS 100394]; Hevesi et al. 1994 [DIRS 100582]). Depth versus time water-content 
profiles indicated the importance of thin soils, saturated fracture flow, periods of heavy 
precipitation (and/or snowmelt), and surface water run-on; in providing the conditions needed for 
the occurrence of episodic net-infiltration pulses. For example, the depth versus time watercontent 
profile measured at borehole UZ-N15 (Flint et al. 1996 [DIRS 100147], Figure 32; 
DTNs: GS940708312212.011 [DIRS 107136]; GS941208312212.017 [DIRS 107137]; 
GS950808312212.001 [DIRS 107139]; GS960108312212.001 [DIRS 107141]) indicates the 
occurrence of three major episodes of net infiltration through bedrock in response to wetter than 
average conditions during the winters of 1992-93 and 1994-95 (Figure 6-3). The UZ-N15 site is 
at a ridge top location in the headwater part of the upper Pagany Wash channel, has relatively 
thin soils, and based on field observations, received surface-water run-on during the winters 
of 1992-93 and 1994-95. The net-infiltration pulses indicated in Figure 6-3 cannot be supported 
by the measured bedrock matrix hydraulic conductivity alone. In order to measure the changes 
in water content noted in this figure using neutron moisture meters, it is necessary to have 
detectable changes in the volumetric water content. The rapid downward advance of the wetting 
front observed at this site suggests fracture flow is necessary as the matrix permeability is very 
low; therefore, fracture flow through welded tuff is required. This was verified by independent 
measurements of water potential using heat dissipation probes at the soil-bedrock contact at a 
nearby site not affected by the existence of a borehole (Flint et al. 1996 [DIRS 100147], 
Figure 35; DTN: GS960908312211.004 [DIRS 146872]). While the fractures may or may not be 
saturated in all locations during episodic high precipitation events accompanied by surface 
run-on, in this particular case, field observation at a nearby trench indicated that the fractures 
were fully saturated. The thin soils, fractured bedrock, and concentrated surface-water flow all 
contributed to rapid percolation of infiltrated water well below the depth of the effective root 
zone. In general, the collective time-averaged net-infiltration rates calculated at all borehole 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-16 November 2004 
sites (DTN: GS960508312212.008 [DIRS 122609]) using the measured water-content changes 
indicate the occurrence of increased net infiltration at Yucca Mountain 
during 1989 to 1995 (Figure 6-4) and a strong inverse correlation between soil depth 
(DTN: GS960508312212.007 [DIRS 124829]) and net-infiltration rates (Flint and 
Flint 1995 [DIRS 100394]). 
Drilling neutron-probe boreholes in the fractured tuffs at Yucca Mountain may introduce 
additional fractures or enhance the flow in the existing network, causing an overestimate of 
net infiltration. One year of water-potential measurements was performed using heatdissipation 
probes near borehole USW UZ-N15 (Figure 6-5A). The probes were installed 
laterally from a small trench that was backfilled. Measurements were made at four 
depths: 7.0, 15.0, 36.5, and 73.7 cm (the soil/bedrock interface). By early March, within two 
weeks of installation, winter precipitation saturated the soil from the soil-bedrock interface to 
within 36 cm of the soil surface, and heat-dissipation probes at both 36.5 cm and 73.7 cm were 
saturated. The probe at the soil/bedrock interface (73.7 cm) remained saturated until the end of 
March and then dried out to less than -10 bars by September. The probes closer to the surface 
dried out faster, and the near-surface probes became wetter periodically due to summer 
precipitation events. 
2 .5 
5 .0 
7 .5 
1 0 .0 
1 2 .5 
1 5 .0 
DEPTH, IN M ETERS 
0 .0 5 0 .1 0 0 .1 5 0 .2 0 0 .2 5 0 .3 0 
W AT ER CONT ENT , IN M ET ERS PER M ET ER 
1993 1994 1995 
alluvium 
bedrock 
Source: DTNs: GS940708312212.011 [DIRS 107136]; GS941208312212.017 [DIRS 107137]; 
GS950808312212.001 [DIRS 107139]; GS960108312212.001 [DIRS 107141]. 
Figure 6-3. Measured Water-Content Profiles at Borehole UZN-15 for 1993-95 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-17 November 2004 
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60 
80 
0
5
10 
15 
20 
BOREHOLE TOPOGRAPHIC POSITION 
DOWNWARD FLUX, IN MILLIMETERS PER YEAR 
DEPTH OF ALLUVIUM, IN METERS BELOW LAND SURFACE 
Depth of 
alluvium 
Calculated 
flux 
DOWNWARD FLUX, IN MILLIMETERS PER YEAR 
DEPTH OF ALLUVIUM, IN METERS BELOW LAND SURFACE 
c, Channel; t, Terrace; s, Sideslope; r, Ridgetop 
Source: DTNs: GS960508312212.008 [DIRS 122609]); GS960508312212.007 [DIRS 124829]. 
Figure 6-4. Estimates of Average Net-Infiltration Rates at Yucca Mountain Calculated Using Changes in 
Measured Water-Content Profiles Obtained for the Period 198995 From A Network of 
Monitoring Boreholes, Compared to Depth of Alluvium at Each Borehole 
The moisture-retention curve for this location (Appendix B, Geospatial Input Data 
for INFIL V2.0 FY99, Table B-4) was used to convert water potential to water 
content (Figure-6-5B). The rate of water loss was calculated between selected dates by using the 
change in water content. In early March, the profile changed at a rate of more than 10 mm/day, 
but dropped to less than two mm/day within 30 days. The evaporation rate was estimated to be 
no more than two mm/day on the basis of PET calculations using the Priestley-Taylor equation 
(Priestley and Taylor 1972 [DIRS 125321]), yielding a maximum flux into the bedrock of 
eight mm/day. The flux for 30 days averaged five mm/day to yield a total flux into the bedrock 
of 150 mm. The estimate for the nearby borehole (USW UZ-N17; DTN: GS960508312212.008 
[DIRS 122609]) was 110 mm for the same time period. 
Changes in water-content profiles through time measured in boreholes located in active channels 
with thick soils were used to develop and calibrate a modified Priestley-Taylor 
evapotranspiration model (Hevesi et al. 1994 [DIRS 100582]). Initial model calibrations 
conducted using INFIL V1.0 in 1996 consisted of a generalized (site-wide) calibration of the 
modified Priestley-Taylor model coefficients (DTN: GS000300001221.009 [DIRS 147228]) 
were based primarily on the calculated changes in the measured profiles 
(Flint et al. 1996 [DIRS 100147], Figure 41). Model calibration using INFIL V2.0 was 
conducted using stream flow records from five gaging sites on Yucca Mountain that were 
operational from 1994 through 1995 and included two significant storm events measured during 
the winter of 1994-95 (DTNs: GS941208312121.001 [DIRS 107374]; GS960908312121.001 
[DIRS 107375]). 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-18 November 2004 
0.01 
0.1
1 
10 
100 
1,000 
WATER POTENTIAL, IN -BARS 
7.0 cm 15.0 cm 36.5 cm 73.7 cm 
0 
0.05 
0.1 
0.15 
0.2 
0.25 
0.3 
0
2
4
6
8
10 
12 
WATER CONTENT, IN METERS PER METER 
Selected 
Data 
Change in 
Water Content 
24-hr Data 
(A) 
(B) 
Probe depth is from 
ground surface 
Depth to bedrock is 
73.7 centimeters 
CHANGE IN WATER CONTENT, 
IN MILLIMETERS PER DAY 
FEB MAR APR MAY JUN JUL AUG SEP 
FEB MAR APR MAY JUN JUL AUG SEP 
Source: A  DTN: GS960908312211.004 [DIRS 146872]; B  DTN: GS960908312211.004 [DIRS 146872] 
Calculated from water-potential measurements 
NOTE: (A) measured at four depths for 1995 and (B) used to calculate flux. 
Figure 6-5. (A) Graphs of Water-Potential Measurements near Borehole USW UZ-N15 Using Head 
Dissipation Probes Measured at Four Depths for 1995, and (B) Water Content Used to 
Calculate Flux 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-19 November 2004 
A description of the model calibration procedure and the results of model calibration is provided 
in Section 6.8. Net infiltration is assumed to occur as saturated, or near-saturated, fracture flow 
through the TCw. An assumption is made that the fracture flow is maintained only through the 
thickness of the TCw within the root-zone, which is assumed to be less than or equal 
to 2 m. Because of expected capillary barrier effects at the soil bedrock interface, fracture flow 
is assumed to be maintained only for the duration that saturated conditions are maintained along 
the soil-bedrock interface. The spatial resolution of this fracture flow is much higher than that of 
the site-wide model, and therefore may not be well represented by the site-wide model. During 
infiltration events, the contribution of the matrix of the bedrock to net infiltration is extremely 
small compared to the flow within the fractures. If the matrix is unsaturated it makes even less 
of a contribution. Therefore, the saturation of the rock matrix is not taken into consideration. 
Rather, once the alluvium at the bedrock contact becomes saturated fracture flow is assumed to 
be initiated, piston flow is assumed, and the fracture flow is accompanied by the small 
proportion of matrix saturated hydraulic conductivity. This also accounts for those few locations 
when sparsely fractured, nonwelded tuff is underlying alluvium. 
Assumptions regarding the appropriateness of various calibration procedures can be supported 
using comparisons of model results with independent methods to determine if model results vary 
considerably from other approaches of estimating net infiltration or recharge in the same 
environment. In Section 7, the spatially averaged net-infiltration rates for the nine climate 
scenarios were compared against estimates of recharge obtained using independent studies at 
various locations in the southern Basin and Range Province as a method of model comparison 
(Maxey and Eakin 1950 [DIRS 100598]; Winograd 1981 [DIRS 100019]; Lichty and 
McKinley 1995 [DIRS 100589]; Harrill and Prudic 1998 [DIRS 149377]; Dettinger 1989 
[DIRS 105384]). 
6.4 MODEL COMPONENTS AND PROCESSES 
The INFIL V2.0 model algorithm consists of three main loops for performing a daily simulation 
of net infiltration over all model cells comprising a watershed model domain. 
Figure 6-6 provides a flow chart illustration of the general model algorithm and the primary loop 
(day-of-year loop), which is driven by the daily climate input file and carries the simulation 
through the time domain. Nested within the primary loop is a grid cell loop for performing a 
daily water balance calculation at each grid cell location and within each layer of the root zone. 
The root zone was subdivided into layers based on the estimated maximum depth of bare-soil 
evaporation and an estimated variation in root density. In general, the layering represents a 
decrease in root density with increased depth in the root zone, particularly at locations with thick 
soils (greater than 6 m). 
The daily root-zone water balance consists of simulating precipitation, snowmelt, sublimation, 
evapotranspiration, changes in water content for each root-zone layer, net infiltration, and runoff 
generation. Nested within the water-balance loop is an hourly loop for modeling PET based 
on the simulation of incoming solar radiation and effects on total solar radiation due to 
blocking ridges using the SOLRAD submodel in INFIL V2.0 and the routine BLOCKR7 
(Flint et al. 1996 [DIRS 100147]; Flint and Childs 1987 [DIRS 100571]). 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-20 November 2004 
Initialization Control File 
Open input/output files 
Call Atmospheric Input File 
Read Location File Location Input File 
Day Loop 
Radiation, air 
energy 
Call Root-Zone Water 
Storage Subroutine 
End of Days? 
End of Locations? 
Average results, send 
to files, close all files 
Yes 
Yes 
No 
Call Energy Balance Subroutine 
Call Precipitation Distribution 
Subroutine 
Calculates precipitation for 
elevation of grid 
Provides daily values of turbidity, 
circumsolar radiation, precipitable water, 
ozone, and albedo 
if precipitation, adjust energy balance based on volume 
of precipitation 
Call Snow Subroutine 
If air temperature < 0C then 
precipitation to snowpack 
If air temperature > 0 C 
and snowpack > 0C then generate 
snowmelt and sublimation 
if precipitation > bulk permeability of soil then 
add excess to runoff storage 
Soil Layer 
Redistribution 
Calculate soil water content for the soil layer 
If precipitation > 0 or snowmelt > 0, add to soil 
water content 
If soil water content > field capacity, add excess 
to next layer 
If total soil water content > porosity, add excess to runoff storage 
If total soil water content > total field capacity, add excess to 
storage term and excess > 40 mm drains into bedrock 
Subtract evapotranspiration from soil water content 
of all layers, storage term, and bedrock 
Yes 
If soil water content > bedrock storage Drain as net infiltration at bulk 
permeability of bedrock 
Runoff routing of runoff storage terms for all grid 
recalculate soil water content and storage terms. 
Calculate total water balance 
No 
Last soil No 
Figure 6-6. Flow Chart of the Model Algorithm Used for Simulating Net Infiltration 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-21 November 2004 
After the completion of the water-balance loop, a surface-water flow-routing subroutine is called 
if runoff was generated at any grid cell. Surface-water flow is routed at the end of the day as a 
time-independent (instantaneous) total daily flow depth across each grid cell. The routing 
algorithm connects all grid cells horizontally using surface-water flow-routing parameters 
included in the geospatial parameter input file. Surface-water flow is coupled to the 
water-balance calculation by allowing surface water to infiltrate into downstream grid cells 
according to the available root-zone storage capacity, soil hydraulic conductivity, and estimates 
for effective surface-water flow area and stream flow duration. The infiltrated water is added to 
the grid cells antecedent root-zone water-content term used in the following days water-balance 
calculation. The surface-water flow depth routed across the grid cell defining the outflow 
location of the watershed is converted to a daily mean discharge flow rate, in cubic feet per 
second, which can be compared to measured stream flow for model calibration. 
Time-averaged net-infiltration rates are calculated by accumulating the simulated daily 
net-infiltration amounts obtained at the end of the daily water-balance loop. Time average rates 
also are calculated for the remaining components of the water balance (precipitation, snowmelt, 
sublimation, evapotranspiration, infiltrated run-on, root-zone water-content change, and runoff) 
for all model grid cells and are included in the main output file used for developing the 
net-infiltration results. The time-averaged rates for all components of the water balance 
simulated at each grid cell are averaged over the watershed model domain and compared against 
the time-averaged watershed outflow to check the consistency of the simulated water balance for 
the entire watershed. 
Output from INFIL V2.0 also includes spatially averaged daily water-balance terms for all 
components of the water balance. The daily output indicates the average inflow, outflow, and 
change in storage rates over the area of the watershed being simulated. The spatially averaged 
daily water balance is compared against the simulated daily outflow to provide a water-balance 
check for each day simulated. The simulated daily water balance rates are averaged over time 
and compared against the spatially averaged water-balance rates simulated at each grid cell as an 
additional method of checking the consistency of the simulated water balance for the entire 
watershed. 
6.4.1 Daily Water Balance 
The estimation of spatially distributed net-infiltration rates consists of a daily simulation of net 
infiltration in response to a daily water- and energy-balance calculation performed separately for 
all model elements within a watershed bounded by surface-water flow divides. The daily 
water-balance calculation used in INFIL V2.0 is: 
Roff = P  SF + IRon + SM  SB + SW ET  I (Eq. 6-1) 
where I is net infiltration, P is precipitation (rain and snow), SF is snowfall, SB is sublimation, 
SM is snowmelt, SW is change in water-content storage within the root zone, ET is 
evapotranspiration, IRon is infiltrated surface-water run-on, and Roff is surface-water runoff 
generated by excess precipitation, snowmelt, or run-on. Note that runoff, not net infiltration, is 
calculated as the solution to the water-balance equation. A unit gradient is assumed and net 
infiltration is incorporated in the water-balance formulation as a temporary net-infiltration term 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-22 November 2004 
and is limited by the field-scale-saturated hydraulic conductivity of the soil or bedrock 
underlying the root zone. A unit gradient is assumed because INFIL is a simple bucket model, 
and it cannot accommodate Richards Equation flow calculations in which a unit gradient is not 
required. A detailed description of the method used for calculating net infiltration is provided in 
Sections 6.4.5 and 6.4.6. 
The daily water-balance calculation performed for a root zone is illustrated in Figure 6-2, which 
was discussed in Section 6.3.1. In this figure, water balance of the root zone is schematically 
represented for a single soil layer. In modeling the daily water-balance, parameters affecting the 
daily water balance, such as soil thickness, soil and bedrock properties, and various surface and 
vegetation characteristics, are uniquely defined for each grid cell. The difference between field 
capacity and residual water content is commonly referred to as available water capacity in soil 
science terms and that is the water available for plants. Therefore, the transpiration part of 
evapotranspiration process takes place this is the zone. The infiltration rate of precipitation, 
snowmelt, or surface-water run-on into the root zone from the land surface is limited by the 
saturated hydraulic conductivity of the grid cell soil type (or the bulk saturated hydraulic 
conductivity of the grid cell bedrock type in cases of no soil cover). Precipitation and 
surface-water flow rates are defined using an estimated 2-hour storm duration for summer 
storm events and an estimated 12-hour storm duration for winter storm events. This is because 
summer storms are usually high-intensity short-duration convective storms, while winter 
storms are usually low-intensity, long-duration low-pressure storms (Winograd and 
Thordarson 1975 [DIRS 101167]). If the precipitation or snowmelt rate exceeds the saturated 
hydraulic conductivity of the top root-zone layer, the excess precipitation or snowmelt is added 
to the runoff term for that grid cell. During the simulation of surface-water flow, the infiltration 
of surface-water run on is also limited by the saturated hydraulic conductivity of the top rootzone 
layer. Surface-water run on exceeding the saturated hydraulic conductivity of the top rootzone 
layer is added to the runoff term routed to the downstream grid cell. 
6.4.2 Daily Climate Input 
Infiltration occurs in response to daily precipitation that occurs in particular temporal and spatial 
patterns. Stochastic representations of infiltration would be required to predict infiltration for 
long time periods without daily input; however, no infiltration data are available for the 
development of long-term patterns. Therefore, using stochastic representations of precipitation 
and daily input to simulate infiltration is appropriate. 
The daily climate input file is the primary control for the timing and duration of the simulation. 
The daily climate input file defines the time domain through which the simulation occurs by 
providing a real-time sequential input of daily climate parameters. The file is ASCII column 
formatted and at minimum consists of the year number, the day of year number, and the total 
daily precipitation amount but can also consist of maximum, minimum, and average daily air 
temperature, along with total daily snowfall accumulation. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-23 November 2004 
The primary input provided by the daily climate-input file is total daily precipitation, in 
millimeters, and this drives the daily water-balance calculation. Average daily air temperature, 
in degrees Celsius, is not required as input, because if not provided in the daily climate 
input file, this parameter is modeled internally by INFIL V2.0 using Equation 20 from 
(Flint et al. 1996 [DIRS 100147]): 
T = T1-T2 {Sin[(D/366)*2*p + 1.3]} (Eq. 6-2) 
where T is modeled daily air temperature, D is day of year number, T1 is mean annual air 
temperature, and T2 is mean seasonal variation of average daily air temperatures above the mean 
during summer and below the mean during winter (the  amplitude of the sine wave). T1 and 
T2 were calculated as 17.3 and 11.74C, respectively, using measured 1992 air temperature data 
from Yucca Mountain (DTN: GS000208312111.002 [DIRS 147250]). These parameters were 
assumed to be representative of present-day climate conditions at Yucca Mountain. 
The daily climate input file provides point values of total daily precipitation and average daily air 
temperature for a given day of the simulation. These values are representative of the conditions 
at locations having elevations of approximately 1,400 m, which represents the approximate 
average elevation of the land surface above the repository. Precipitation and air temperature are 
distributed spatially across all model grid cells using empirical elevation models. The 
precipitation/elevation correlation, caused by the adiabatic cooling of air masses interacting with 
mountainous terrain, has been studied in the southern Nevada region and correlation models 
between elevation and annual as well as seasonal precipitation amounts have been defined 
(French 1983 [DIRS 125313]; Hevesi et al. 1992 [DIRS 116809]; Hevesi and 
Flint 1998 [DIRS 125323]). The precipitation/elevation correlation model used in INFIL for 
present-day climate is from Hevesi and Flint (1998 [DIRS 125323], Table 4, 
DTN: GS960108312111.001 [DIRS 107131]) for the sample of 114 precipitation stations with a 
minimum of 8 years of record. The model estimated mean annual precipitation distributions 
using the relation: 
Pd
k = Pd * exp(0.0006458* Ek + 4.317)/MAP (Eq. 6-3) 
where Pd
k is the elevation-corrected daily precipitation estimate (in millimeters) for day d at 
model element k, Pd is the point precipitation estimated for day d provided by the daily climate 
input file, E is elevation (in meters), and MAP is mean annual precipitation (in millimeters). 
Although the precipitation/elevation correlation model used (DTN: GS960108312111.001 
[DIRS 107131]) is not qualified data, it is considered to be indirect input and does not require 
qualification). 
For the monsoon and glacial-transition climate scenarios, the slope defined by Equation 6-3 was 
adjusted to account for assumed changes in the precipitation/elevation correlation based on 
estimates of precipitation-elevation correlations presented by Thompson et al. (1999 
[DIRS 109470]), indicating a reduction in orographic effects on precipitation for wetter 
paleoclimates. 
Atmospheric pressure decreases with increasing altitude. Consequently, stirring of an 
atmospheric layer causes rising parcels of air to cool by adiabatic expansion, and sinking parcels 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-24 November 2004 
to correspondingly warm by compression. The net effect of this is a vertical decrease in 
temperature with increase in elevation called the adiabatic lapse rate. The adiabatic lapse rate, or 
air temperature/elevation correlation is cited in numerous references as about 9.8C per 
kilometer and was cited for this work using Maidment (1993 [DIRS 125317], p. 2.27): 
Td
k = 0.0098 * (1400 - Ek) + Td (Eq. 6-4) 
where Td
k is the elevation-adjusted air temperature for grid cell k based on elevation E and daily 
air temperature Td (either provided in the daily climate-input file or simulated using 
Equation 6-2). This adiabatic lapse rate applies to the air temperature/elevation relationship 
regardless of terrain, so this value should be considered to be approximate for the 
mountainous terrain of the Yucca Mountain area. The elevation E is subtracted from the 
estimated mean elevation for the repository area that is indicated in the equation as 1,400 m. 
This is the approximate average ground surface elevation of the repository. The actual ground 
surface elevation above the repository ranges from 1,402 to 1,494 m (Chu and 
Dyer 2003 [DIRS 171661]). 
Cloud cover is a variable affecting the energy-balance calculation and is indirectly accounted for 
in the model as an empirical function of daily precipitation magnitude. For days with 
precipitation, the modeled clear-sky PET rate is reduced using the PET reduction equation 
developed by Flint et al. (1996 [DIRS 100147], page 143): 
APETd = PETd/[(4*Pd/25.4) + 1] (Eq. 6-5) 
where APET is adjusted PET for day d (in millimeters), PETd is the Priestley-Taylor modeled 
clear-sky PET for day d (PET is discussed further in Section 6.4.4), and Pd is modeled daily 
precipitation for day d. The coefficient 25.4 converts inches to millimeters, and the value 4 is an 
estimate that reduces the PET by approximately 25 percent due to cloud cover that exists 
whenever it rains. Equation 6-5 is based on the assumption is that the energy for ET is reduced 
by 25 percent in the presence of clouds (associated with precipitation) and the more rain there is, 
the less ET there is. 
6.4.3 Snow Pack Submodel 
Precipitation is simulated as snowfall for a grid cell location if the average air temperature is less 
than or equal to 0 C. When snowfall occurs, all precipitation for that day is assumed to occur as 
snow at that location. However, because air temperature is distributed spatially using the 
elevation correlation model, snowfall and snow pack accumulation may occur at higher elevation 
cells while rain occurs at lower elevations within the same watershed. 
Snowfall is accumulated into a snow pack storage term and is removed from the root-zone water 
balance. If snow pack exists and the air temperature is less than 0C, water is removed from the 
snow pack by using an empirical sublimation-saltation-suspension model under the assumption 
that in upland areas advective wind-transport processes tend to cause snow removal rather than 
deposition over most areas. The three processes are grouped into a single empirical 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-25 November 2004 
sublimation model that also includes evaporation of snowmelt and sublimation (but not 
saltation and suspension) when the air temperature exceeds 0C: 
SBk = A1 * APETk, Tk <= 0 (sublimation/advective losses) (Eq. 6-6) 
SBk = A2 * APETk, Tk > 0 (evaporation of snowmelt and sublimation) 
where SBk is total snow pack losses to the atmosphere (in millimeters), APETk is the cloud cover 
adjusted Priestley-Taylor PET rate11, (in millimeters/day), and Tk is the average air temperature 
simulated for grid cell k (in degrees celsius). The model coefficients were estimated based on 
limited information indicating the average percentage of snow pack losses due to sublimation 
and advective energy processes (Maidment 1993 [DIRS 125317], pp. 7.4 to 7.10). For example, 
Maidment (1993 [DIRS 125317], p. 7.8) reports sublimation rates for Canada of 41 percent for 
fallow fields, and 34 percent for stubble. Due to the lack of data on this parameter, a value of 
0.1 (10 percent) for A1 for sublimation was assumed to be representative of conditions at Yucca 
Mountain. The A2 parameter must be greater than the A1 parameter since it includes the 
sublimation and evaporation of snowmelt components. The A2 parameter was assumed to be 
three times greater than the A1 parameter since sublimation increases as temperature increases 
(Maidment 1993 [DIRS 125317], pp. 7.4 to 7.10), and because it includes the evaporation of 
snowmelt component as well as the sublimation component. Therefore, for all simulations using 
the snow pack submodel, A1 was set to 0.1 and A2 was set to 0.3 in the model control file. This 
is an assumed relation to account for an increase in snow pack losses to the atmosphere when the 
average daily air temperature is above freezing. If a snow pack exists and air temperature is 
greater than 0C, a combined sublimation of snow and evaporation of snowmelt is simulated, 
and the APET term is reduced by the sublimation/evaporation rate SB to provide a PET rate for 
the root zone. Thus, the model allows reduced transpiration to occur when a snow pack exists 
but only if air temperature is higher than 0C. For all days when air temperature is 0C or less, 
transpiration is set to zero, and only sublimation can occur, provided a snow pack exists. 
If air temperature is greater than 0C, snowmelt is simulated as an empirical linear function of 
average daily air temperature (Maidment 1993 [DIRS 125317], pp. 7.4 to 7.10) using a standard 
temperature index modeling approach: 
SMk = A * Tk (Eq. 6-7) 
where SM is the modeled snowmelt (in millimeters) for grid cell k; T is the modeled average 
daily air temperature ( C) for grid cell k; and A was set to 1.78, which is the coefficient used for 
modeling snowmelt in the Sierra Nevada during April (Maidment 1993 [DIRS 125317], 
Table 7.3.7, p. 7.24). The simulated snowmelt is carried back into the root-zone water-balance 
calculation as an influx term. 
11 The potential evapotranspiration rate used in the sublimation model uses a Priestley-Taylor a coefficient value of 
1.26 to account empirically for the advective component of the total energy balance (Priestley and Taylor 1972 
[DIRS 125321]) and is not necessarily equivalent to the values of the coefficient used in the root-zone model. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-26 November 2004 
6.4.4 Potential Evapotranspiration and the Net Radiation Submodel 
Total daily PET is modeled for each grid cell using the Priestley-Taylor equation (Priestley and 
Taylor 1972 [DIRS 125321]): 
PETd
k = a * [s/(s + .)d
k * (RNd
k  GHd
k) / 2.45 x 106] (Eq. 6-8) 
where PETd
k is PET (in millimeters) on day d for grid cell k; s is the slope of the saturation 
vapor pressure-temperature curve; . is the psychometric constant; RN is modeled net radiation; 
and 2.45106 converts the energy units to millimeters of water. The term, GH, is estimated 
ground-heat flux, which is modeled using Equation 22 from Flint et al. (1996 [DIRS 100147]): 
GH = -20 + 0.386(RN) (Eq. 6-9) 
In Equation 6-8, a is used as an empirical scaling factor to account for the missing advective 
energy term in the Priestley-Taylor equation. For wet conditions having freely evaporating 
surfaces, a is often set to 1.26 (Priestley and Taylor 1972 [DIRS 125321]; Flint and Childs 1991 
[DIRS 124946]; DTN: GS000300001221.009 [DIRS 147228]). For dry conditions, available 
moisture becomes the limiting factor controlling actual evapotranspiration, and a can be 
modeled as an empirical scaling function, a', using a relative saturation term (Flint and Childs 
1991 [DIRS 124946]). In the root-zone water-balance submodel, a is defined as an empirical 
function of relative saturation within the root zone by using a method described in Section 6.4.6. 
The s/(s+.) term is modeled as a function of average daily air temperature by using Equation 19 
from Conceptual and Numerical Model of Infiltration for the Yucca Mountain Area, Nevada 
(Flint et al. 1996 [DIRS 100147]): 
s/(s+.)d
k = -13.281 + 0.083864 * TAd
k - 0.00012375 * (TAd
k) 2 (Eq. 6-10) 
where TAk is the average daily air temperature on day d for grid cell k, in Kelvins. Equation 
6-10 was defined using parameter values obtained from performing a regression on data from An 
Introduction to Environmental Biophysics (Campbell 1977 [DIRS 124856], Table A.3) and 
provides an indication of the relative effect of air temperature on PET, which varies for different 
temperature ranges. In Figure 6-7, Equation 6-10 is compared with selected values taken from 
An Introduction to Environmental Biophysics (Campbell 1977 [DIRS 124856], Table A.3) to 
illustrate the greater relative change in the s/(s+.) term for the lower air temperatures in the range 
5C to 5C as compared to temperatures in the range of 25C to 35C. For example, a decrease 
in air temperature from 5C to 0C results in a 17 percent reduction in s/(s+.) and thus PET, 
while a decrease in air temperature from 35C to 30C causes only a 5 percent reduction in the 
s/(s+.) term. 
Total daily net radiation is the primary component of the energy balance determining PET and is 
modeled using Equation 21 from Conceptual and Numerical Model of Infiltration for the Yucca 
Mountain Area, Nevada (Flint et al. 1996 [DIRS 100147]): 
RNd
k = -71 + 0.72 * Kd
k. (Eq. 6-11) 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-27 November 2004 
where RN is total net radiation, in W/m2, on day d for model element k, and K. is simulated 
incoming solar radiation which is modeled using a version of the SOLRAD, submodel in INFIL 
V2.0, program as developed by Flint and Childs (1987 [DIRS 100571]). To account for seasonal 
changes in the solar trajectory as well as terrain effects across model elements, SOLRAD, 
submodel in INFIL V2.0, calculates solar position on an hourly12 basis from sunrise to sunset as 
a function of the day of year and geographic position of each grid cell (Flint and Childs 1987 
[DIRS 100571]). Terrain effects (blocking ridges) on incoming solar radiation are modeled 
using topographic parameters calculated from the DEM and included as input in the geospatial 
parameter file. Topographic parameters include grid cell slope, aspect, and 36 blocking ridge 
angles that define shading effects and reductions in skyview for every 10 in the horizontal 
plane, starting with the UTM northing axis as the 0 azimuth. Shading causes a reduction in 
direct beam radiation, and diminished skyview decreases diffuse radiation. These effects can 
become important in rugged mountainous terrain. 
Source: DTN: GS000300001221.009 [DIRS 147228]. 
Figure 6-7. Relative Effect of Air Temperature Change on the Modeled S/(S+.) Term of the Priestley- 
Taylor Equation Used for Estimating Potential Evapotranspiration 
12 The time step is a user-specified option included in the model control file. Although a 1-hour time step is 
allowed, a 2-hour time step was used to reduce simulation run time without loss of accuracy. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-28 November 2004 
6.4.5 Root-Zone Submodel: Infiltration, Percolation, and Redistribution 
Water infiltrating and percolating (see Section 6.1.1 for definitions) through the multilayered 
root-zone system is modeled as a cascading piston-flow process. Downward percolation is 
modeled as a forward cascade initiated by adding the total volume of water infiltrating the top 
layer of the root zone to the antecedent water content of the layer. The new water content is 
calculated using the layer thickness and compared against the field capacity defined by the grid 
cell soil type. The volume of water exceeding the field capacity becomes downward percolation 
that is added to the antecedent water content of the underlying layer, and the new water content 
of the underlying layer is compared against the field capacity of that layer. If the potential 
percolation volume exceeds the saturated soil hydraulic conductivity or the saturated bulk 
bedrock hydraulic conductivity of the underlying layer, the downward percolation rate is set 
equal to the saturated hydraulic conductivity of the underlying layer, and the excess water 
volume is added to a temporary storage term for the overlying layer. The process is repeated for 
each soil and bedrock layer in the root zone (a maximum of three soil layers and one bedrock 
layer were used) until the bottom layer is reached, which completes the forward cascade. 
The volume of water that has percolated into the bottom bedrock layer (which may be zero if the 
field capacity of an overlying layer was not exceeded) is compared against the effective 
root-zone storage capacity of the bedrock. If a bedrock layer exists in the root zone, the effective 
root-zone storage capacity of the bedrock layer is calculated based on the estimated root-zone 
depth, the estimated soil depth, and the estimated effective fracture porosity of the rock type 
(a more complete description of estimated root-zone depths in bedrock is provided in 
Section 6.5). The volume of water exceeding the bedrock storage capacity is the potential netinfiltration 
volume. For thick soils, there is no bedrock layer in the root zone. The thickness of 
the bedrock root-zone layer is set to zero, the effective fracture porosity for the bottom bedrock 
layer becomes zero, and all water exceeding the field capacity of the bottom soil layer (the third 
soil layer) is potential net infiltration unless limited by the saturated bulk hydraulic conductivity 
of the underlying soil or bedrock. For locations where the soil depth is estimated to be 6 m or 
greater, the underlying bedrock properties are defined using alluvium/colluvium properties. 
Based on analysis of neutron moisture meter data (Flint and Flint 1995 [DIRS 100394]), the 
maximum depth of infiltration in non-channel alluvial locations is 6 m; therefore, no need exists 
to provide bedrock properties in these locations. The actual net-infiltration volume is calculated 
after evapotranspiration is simulated throughout the root zone and is limited by the bulk saturated 
hydraulic conductivity of the underlying rock type. The potential net-infiltration volume 
exceeding the bulk saturated hydraulic conductivity is added to the temporary storage term of the 
bottom root-zone layer. 
Starting with the bottom root-zone layer, a reverse cascade is performed to determine if runoff is 
generated. The volume of water in the temporary storage term is compared against the total 
storage capacity of each layer defined by the porosity (or effective fracture porosity in the case of 
bedrock) and layer thickness. If the volume of water in the temporary storage term exceeds the 
storage capacity, the excess water is added to the temporary storage term of the overlying layer. 
The process is repeated until the top layer is reached, completing the reverse cascade. The 
volume of water in the temporary storage term exceeding the storage capacity of the top layer is 
added to the potential runoff volume calculated for that grid cell. The final runoff volume is 
calculated following the simulation of evapotranspiration from the root zone. 
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MDL-NBS-HS-000023 REV 00 6-29 November 2004 
6.4.6 Root-Zone Submodel: Evapotranspiration, Runoff, and Net Infiltration 
After the completion of the reverse cascade and the placement of excess water into temporary 
storage terms, evapotranspiration is simulated for each root-zone layer using a dynamic 
root-zone weighting function and the modified Priestley-Taylor equation (discussed in 
Section 6.4.4). Evapotranspiration is simulated only for days with air temperature greater 
than 0C. The dynamic weighting is based on calculated relative saturations for each root-zone 
layer and the relative distribution of water (based on saturation) throughout all layers. The 
purpose of the dynamic weighting (wgti) is to increase root activity for the wettest layer. Static 
root density weights are also incorporated into the dynamic weighting function, setting an upper 
limit on root activity within each layer. For the topsoil layer, the bare-soil evaporation term is 
added to the transpiration term. Using the calculated weighting terms, evapotranspiration is 
simulated by applying a form of the modified Priestley-Taylor equation as developed (Flint and 
Childs 1991 [DIRS 124946], coefficients in DTN: GS000300001221.009 [DIRS 147228]) to 
each layer of the root zone: 
ETk = a' * PETk (Eq. 6-12) 
a' = .i{wgti * [ak (1-exp(bk*relsati
k))]} 
where ETk is total root-zone evapotranspiration for grid cell k; PETk is the adjusted clear-sky 
simulated equilibrium PET rate13 for grid cell k; relsati
k is the relative saturation calculated for 
layer i within grid cell k; ak and bk are the Priestley-Taylor model coefficients for grid 
cell k supplied as soil- and rock-type input parameters in the model control file (for this 
submodel, the coefficients were identical for all soil and rock types but were varied between 
different climate scenarios and between soils and rocks). After water contents for each layer are 
reduced according to the calculated evapotranspiration rates, the final runoff and net-infiltration 
terms are calculated, and the new water-content terms for each root-zone layer are up-dated for 
the following days water-balance calculation. 
The evapotranspiration coefficients, as given in DTN: GS000300001221.009 [DIRS 147228], 
are assumed to be representative of conditions at Yucca Mountain. The values used for 
the a and b coefficients in Equation 6-12 are based on measurements at other locations and are 
commonly used and regarded as appropriate within the scientific community (Priestly and 
Taylor 1972 [DIRS 125321]; Flint and Childs 1991 [DIRS 124946]). 
6.4.7 Surface-Water Flow-Routing Submodel 
At the completion of the root-zone water balance loop, the surface-water flow submodel is called 
if the runoff accumulation term is greater than zero (at least one grid cell has generated runoff). 
The submodel uses an instantaneous flow routing (IFR) method to perform an efficient 
time-independent simulation of surface-water flow. The purpose of the routing algorithm is to 
calculate the lateral redistribution of water throughout the watershed domain and to allow for the 
infiltration of surface water as it is routed. The surface water flow routing algorithm is fully 
coupled with the algorithm used to calculate infiltration into the root zone. No need exists to 
13 The equilibrium potential evapotranspiration rate is calculated using a = 1.0, and is used to represent the 
non-advective component of the energy balance (Priestley and Taylor 1972 [DIRS 125321]). 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-30 November 2004 
predict a flood wave, peak flows, or backwater effects, and thus finite difference approximations 
of flow equations are not required. The IFR method assumes that the duration of surface-water 
flow at Yucca Mountain is less than 24 hours, which is generally supported by the 
available stream flow records and field observations (Savard 1995 [DIRS 101289]; Flint 
et al. 1996 [DIRS 100147], Figure 23; DTN: GS960908312121.001 [DIRS 107375]). For the 
purpose of calculating daily net infiltration, it is not necessary to perform surface water flow 
routing at time steps less then the daily water balance, especially when stream flow events are 
known to be episodic and have duration less then 24 hours (at least for current climate 
conditions). 
The routing is performed using parameters calculated by the routine CHNNET16 V1.0 and 
included in the geospatial parameter input file. The routing parameters identify downstream cell 
connections for all cells in the model domain. The flow routing routine determines which of 
eight surrounding grid cells is the lowest in elevation and calculates the flow directions for each 
grid cell by first sorting the entire base-grid based on elevation, then using a 
standard D8 convergent flow routing algorithm in the routine. Multiple cells are allowed to route 
to a single cell, but any given cell can route to only one downstream grid cell (as opposed to two 
in cases of flow dispersion). In this way, channels are defined for every watershed. In general, it 
is adequate to drive all flow along one connected node pair. The flow routing algorithm models 
convergent flow only. Inaccuracies resulting from a lack of flow dispersion are not significant 
within the area of the repository, and are not significant within most areas of the UZ flow model. 
Inaccuracies resulting from a lack of flow dispersion tend to increase as flow is routed across 
more gently sloping alluvial fans, particularly in cases where the stream channel becomes 
braided or is not well defined. 
The IFR submodel repeats the infiltration and percolation simulation performed in the 
water-balance loop, providing a two-dimensional coupling of surface-water flow and infiltration. 
As with precipitation and snowmelt, infiltration of run-on is a function of the storage capacity 
and hydraulic conductivity of the underlying soils and bedrock. The fraction of the total grid cell 
area affected by surface-water flow is defined in the model control file and is used to scale the 
bulk hydraulic conductivity of the grid cell as a means of limiting total infiltration volumes along 
the width of the active channel. Saturated conditions along the active channel are assumed for 
estimated storm duration of 2 hours for summer storms and 12 hours for winter storms. Positive 
pressure heads are assumed to be negligible and are not included in the calculation of infiltration 
volumes. Although the exclusion of positive pressure heads during stream flow events is slightly 
non-conservative, the timing of storm duration is over-estimated (conservative), so these two 
simplifications tend to cancel each other. The increase in water content for each layer in the root 
zone is stored and included in the following days root-zone water-balance calculation. 
Surface water that is routed off the model grid is stored as an outflow term. For watershed 
model domains, there is only one outflow point and the outflow term represents stream discharge 
from the watershed. The outflow term is incorporated into a global mass-balance calculation 
using: 
D = .Roff 
k  .IRon 
k = .Pk + .SMk  .SBk  .SWk  .ETk  .Ik 
(Eq. 6-13) 
where D is the watershed outflow, P is defined for this equation as rainfall, and the water balance 
terms defined in Equation 6-1 are summed for all grid cells k in the watershed. Equation 6-13 is 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-31 November 2004 
calculated for each day of the simulation as means of verifying the mass balance over the 
modeling domain. Note that in Equation 6-13 the term for snowfall is absent. 
In Equation 6-1, P includes snowfall (implicitly), which is then subtracted out explicitly. The 
term .Pk above (in Equation 6-13) does not (implicitly) include snowfall so it does not need to 
be reduced by the snowfall amount explicitly. 
6.5 MODEL GRID GEOMETRY AND WATERSHED MODELING DOMAINS FOR 
THE YUCCA MOUNTAIN SITE 
All acquired and estimated geospatial parameters required as input for 
INFIL V2.0 [and INFIL VA_2.a1 (SNL 2001 [DIRS 147608])] are combined into a 
single ASCII file defining the base-grid for all extracted watershed model grids (Output 
DTN: GS000308311221.004). The geospatial parameter input files defining watershed model 
domains are extracted as separate files from the developed base-grid using the routine 
WATSHD20 V1.0 (discussed in Section 6.5.3). All FORTRAN routines (GEOMAP7 V1.0, 
GEOMOD4 V1.0, SOILMAP6 V1.0, VEGCOV01 V1.0, and BLOCKR7 V1.0) used in the 
development of the base-grid geospatial parameter input file are listed in Table 3-1. The 
acquired, exempt software ARCINFO V6.1.2 also was used in the development of the base grid 
geospatial parameter input file. 
6.5.1 Spatial Discretization and the Base-Grid 
The net infiltration modeling procedure begins with building a geospatial input parameter base 
grid using the selected DEM to define the base-grid geometry. The DEM 
(DTN: GS000308311221.006), selected for defining the grid geometry is the composite DEM 
used for the 1996 net infiltration model (Flint et al. 1996 [DIRS 100147]) that was developed 
from two standard USGS 7.5 minute 30-meter DEMs (Busted Butte and Topopah Spring NW). 
The two DEMs (DTN: GS000200001221.003 [DIRS 146278]) were combined into a 
composite DEM (DTN: GS000308311221.006) by using the ARCINFO GRID module. Within 
this module a command, MERGE is used to perform the combining process. Once the 
two DEMs are combined, it was necessary to convert the projection coordinates from decimaldegrees 
into UTM coordinates. This was done using the standard ARCINFO PROJECT 
command. The grid geometry of the composite DEM (DTN: GS000308311221.006) is based on 
the Universal Transverse Mercator projection (zone 11, NAD27, DTN: GS000200001221.003 
[DIRS 146278]) and consists of 691 rows in the north-south direction and 367 columns in the 
east-west direction covering a rectangular area centered over Yucca Mountain and the repository 
site, with the following corner coordinates: 
Northwest corner: 544,661 m easting, 4,087,833 m northing 
Northeast corner: 555,641 m easting, 4,087,833 m northing 
Southeast corner: 555,641 m easting, 4,067,133 m northing 
Southwest corner: 544,661 m easting, 4,067,133 m northing 
The 253,597 elevation values provided by the composite DEM is the primary geospatial 
parameter used by the net infiltration model. The development of the geospatial parameter input 
grid and the separate watershed modeling domains requires the application of GIS to transfer 
available digitized map data, which is in a vector-based format, onto the grid-cell or raster-based 
format of the DEM (a process referred to as rasterization). 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-32 November 2004 
Figure 6-8 is a shaded relief representation of the Yucca Mountain DEM and includes the 
location of the 1999 UZ flow model boundary, the 1999 design repository boundary, and the 
trace of the main Exploratory Studies Facility drift. Also shown are the locations of the neutron 
borehole sites used to calibrate the 1996 model as well as provide core samples for measuring 
bedrock hydraulic conductivity (Appendix B). Figure 6-8 illustrates the level of detail provided 
by the DEM in terms of representing discrete topographic features by using elevation, which is 
the primary geospatial-input parameter for the net-infiltration model. The DEM has an average 
elevation of 1,237 m, a minimum elevation of 918 m along the southern perimeter, and a 
maximum elevation of 1,969 m along the northern perimeter. 
DEM elevations in the base grid are used for calculating and estimating geospatial-input 
parameters and are also used directly as an input in the developed geospatial-parameter input 
file. Section 6.3.2 discusses the application of elevation directly as an input parameter for 
INFIL V2.0 calculations, which includes estimating the spatial distribution of precipitation and 
air temperature. Sections 6.5.2 and 6.5.3 discuss the application of DEM elevations for 
calculating flow-routing parameters and developing watershed model domains using the routines 
SORTGRD1 V1.0, and CHNNET16 V1.0. Section 6.4.4 describes the application of DEM 
elevations for calculating topographic parameters, which include slope, aspect, and blocking 
ridge angles, using ARCINFO V6.1.2 and the routine BLOCKR7 V1.0. 
6.5.2 Development of the Surface Drainage Network 
To generate watershed-modeling domains, the surface-water drainage network was defined using 
the base grid supplied as output from SOILMAP6 V1.0 and GEOMOD4 V1.0. Flow directions 
were calculated for each grid cell using a 2-step process. For the first step, the entire base grid is 
sorted by elevation using the routine SORTGRD1 V1.0. In the second step, flow-routing 
directions are calculated based on a standard D8 routing algorithm (flow is routed to one of eight 
adjacent grid cells having the lowest elevation) using the routine CHNNET16 V1.0. 
CHNNET16 V1.0 is a convergent flow routing algorithm; multiple cells are allowed to route to a 
single cell, but any given cell can route to only one downstream grid cell (as opposed to two in 
cases of flow dispersion). The CHNNET16 V1.0 algorithm provides a method for routing 
through surface depressions in the DEM, which were found to be numerous. The surface 
depressions are in part a characteristic of poorly established drainage networks across alluvial 
fans and basins in arid and semiarid environments. Surface depressions are also caused by 
inaccuracy in the DEM in terms of both elevation values and grid resolution. If the DEM grid is 
too coarse relative to channel dimensions it cannot accurately capture the natural channel, and 
this problem tends to be most severe on broad alluvial fans and basins as opposed to upland areas 
where the drainage network is more accurately defined by the rugged terrain. The 
CHNNET16 V1.0 routing algorithm allows DEM surface depressions of up to 20 layers 
deep (20 grid cells need to be crossed before surface flow escapes the depression), and this was 
found to be greater than the largest depression encountered in the Yucca Mountain DEM. In 
addition to the flow routing parameters, output from CHNNET16 V1.0 includes a flow 
accumulation term, which indicates the number of upstream cells for each grid cell in the initial 
model grid (Figure 6-9). 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-33 November 2004 
Source: DTN: GS000308311221.006. 
NOTE: The 1999 UZ flow model domain (in blue) and the 1999 repository footprint (in red) are site 
recommendation boundaries, not license application boundaries (white dashed lines). 
Figure 6-8. Yucca Mountain DEM Used to Define Geospatial-Input Parameters and Watershed Modeling 
Domains 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-34 November 2004 
Source: DTN: GS000308311221.006. 
NOTES: See Appendix I for details and explanation of Flow Accumulation. 
The 1999 UZ flow model domain and the 1999 repository footprint are site recommendation boundaries 
(solid lines), not license application boundaries (dashed line). 
Figure 6-9. Number of Upstream Cells Indicating the Numerical Channel Network 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-35 November 2004 
6.5.3 Development of Watershed Model Domains 
Division of the net-infiltration model domain into a set of smaller, isolated watershed model 
domains was needed to decrease simulation run-times for INFIL V2.0 by allowing the simulation 
to be distributed over multiple computer processors at the time when the modeling work was 
performed. The isolated watershed domains allow for a more efficient analysis of the impact of 
watershed characteristics on simulation results. Additionally, the smaller, closed modeling 
systems enable a more efficient mass balance checking because each model domain is a single 
watershed with only one outflow location. 
To develop a composite watershed-modeling domain consisting of all watersheds either 
overlying or immediately adjacent to the area of the site-scale UZ flow model, the boundary of 
the UZ model was overlain on the numerically defined drainage networks obtained from 
CHNNET16 V1.0. The outflow cell (the discharge point for all upstream grid cells) of each 
major drainage network affecting the UZ model area was identified using the INFIL subroutine 
TRANSFORM for a visual analysis of the flow accumulation map (Figure 6-10). A total 
of 10 separate watershed model grids were extracted using the routine WATSHD20 V1.0, which 
executes a reverse flow-routing algorithm to identify all model cells upstream from the selected 
outflow cell. The model grid defining the extracted watershed domain includes the active grid 
cells upstream from the outflow cell and also an outer perimeter layer of inactive cells that are 
needed as boundary cells during surface-water flow routing. The perimeter cells are also used in 
the mass-balance checking calculation performed using Equation 6-13 to ensure that outflow is 
consistent with the cumulative mass balance calculated for all grid cells in the watershed model 
domain. 
Whether or not the calculated flow divides accurately represents the natural system depends on 
the resolution and accuracy of the DEM, and the accuracy of the flow routing algorithm in 
capturing the true channel network. An assumption was made that the accuracy of the DEM and 
the accuracy of the D8 flow routing algorithm of CHNNET16 V1.0 was adequate for the purpose 
of this modeling activity. This assumption was based in part on the knowledge that the model 
results would be interpolated onto the coarser mesh of the UZ flow model. The assumption was 
also based on the knowledge that a static DEM was being used to represent topography for the 
next 10,000 years. In other words, an accurate representation of the present-day channel network 
at Yucca Mountain is considered to be of minor importance given that the active channel 
network is likely to change significantly over a 10,000-year period, particularly if wetter climates 
develop. 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-37 November 2004 
The main watersheds included in the composite watershed model area are Yucca Wash, Drill 
Hole Wash, Dune Wash, Solitario Canyon #1, and Plug Hill14 (Figure 6-11). Additional 
drainages that were included in the composite model to provide a buffer zone along the western 
edge of the UZ model are Jet Ridge #1, Jet Ridge #2, Jet Ridge #3, Solitario Canyon #2, and 
Solitario Canyon #4. The watershed model domains were restricted to the western side of the 
Fortymile Wash channel because the Yucca Mountain DEM captures only a small part of the 
lower Fortymile Wash drainage, and complete watersheds cannot be defined for most sections of 
the DEM east of Fortymile Wash. With the exception of Yucca Wash and Jet Ridge #1, all 
watersheds are fully defined by the DEM. For Yucca Wash, northern sections of the watershed 
are missing because the DEM does not extend far enough north (the northern perimeter of the 
watershed is defined by the DEM boundary). The missing area is small relative to the total 
watershed area, and the only potential impact occurs in the Yucca Wash channel along the 
northeastern perimeter of the UZ flow model area. For Jet Ridge #1, the lowermost segment of 
the eastern perimeter is defined by the DEM boundary. The missing eastern section of Jet Ridge 
#1 is an insignificant area that does not affect results obtained for the UZ flow model area. 
6.6 GEOSPATIAL INPUT PARAMETERS 
The parameters included in the geospatial-parameter input file defining each watershed model 
domain are: grid cell identifier, UTM easting (meters), UTM northing (meters), latitude (decimal 
degrees), longitude (decimal degrees), row identifier, column identifier, downstream grid cell 
identifier, number of upstream cells, elevation (meters), slope (degrees inclination from 
horizontal), aspect (degrees from north), soil-type identifier, soil depth class identifier, soil depth 
(meters), rock-type identifier, topographic position identifier, vegetation-type identifier, percent 
vegetation cover, and 36 blocking-ridge angles. 
6.6.1 Topographic Parameters (Slope, Aspect, and Blocking Ridges) 
Topographic parameters, such as the flow-routing parameters discussed in Section 6.5.2, are 
calculated directly from the DEM and included in the geospatial-parameter input file. Additional 
topographic parameters include slope, aspect, and blocking ridge angles, which are required by 
the SOLRAD, submodel in INFIL V2.0, routine in the PET submodel. Slope is also a required 
input parameter for estimating soil depths using the routine SOILMAP6 V1.0. Slope and 
aspect were calculated for the 1996 version of the net-infiltration model (Flint 
et al. 1996 [DIRS 100147]) using standard GIS applications in ARCINFO V6.1.2. 
The 36 blocking ridge angles (degrees of inclination above horizontal) are calculated at 
each 10 horizontal arc (with the azimuth aligned in the UTM northing direction) for each grid 
cell using the routine BLOCKR7 V1.0. Calculations were performed using the DEM as input 
and a technique for approximating the 10 horizontal angles based on northing and easting grid 
cell distances. The blocking ridge parameters cannot account for topographic influences outside 
of the DEM, and thus the blocking ridge effect is only partly accounted for along the perimeter 
of the DEM. 
14The names selected for the extracted watershed modeling domains are not necessarily the established geographic 
names for these physiographic features. They are used here only as a means of identifying the separate watershed 
models. 

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MDL-NBS-HS-000023 REV 00 6-39 November 2004 
6.6.2 Soil-Depth Classes 
A soil-depth-class map consisting of four separate soil-depth classes was developed 
for the 1996 net-infiltration model (Flint et al. 1996 [DIRS 100147], 
Figure 13; DTN: GS960508312212.007 [DIRS 124829]). The four depth classes represent 
different ranges in actual soil depths that were estimated using a combination of Quaternary 
geologic maps, field observations, and soil depth recorded at borehole sites (Flint and 
Flint 1995 [DIRS 100394], Table 2). Depth class #1 identifies locations with soil depths ranging 
from 0 to 0.5 meter and primarily occurs in rugged upland areas. Depth class #2 identifies 
deeper soils ranging from 0.5 to 3.0 m occurring at mid to lower side-slope locations in upland 
areas affected by slumps, slides, and other mass-wasting processes. Depth class #3 identifies 
locations in the transition zone between upland areas and alluvial fans or basins with 
intermediate soil depths ranging from 3 to 6 m. Depth class #4 identifies soils with depths 
of 6 m or greater. The soil-depth classes were used to estimate soil depths based on calculated 
slope and an empirical soil-depth model described in Appendix B. 
6.6.3 Soil Types 
A soil-type classification map is defined by Flint et al. (1996 [DIRS 100147]; 
DTN: GS960508312212.007 [DIRS 124829]). The soil-type classification is based on a 
recombination of mapped Quaternary surficial deposits and defines ten unique soil types based 
primarily on differences in soil texture (Figure 6-12). Soil texture and porosity data were 
obtained using field samples and laboratory measurements (DTN: GS950708312211.002 
[DIRS 146874]) as described by Flint et al. (1996 [DIRS 100147]; p. 42). Soil hydrologic 
properties consisting of hydraulic conductivity, residual water content, and field capacity were 
both measured and estimated using the soil texture data as described by Flint 
et al. (1996 [DIRS 100147], p. 41) and Appendix B. The soil hydrologic properties included 
directly as model input (using the model control file) for INFIL V2.0 consist of porosity, field 
capacity, residual water content, and saturated hydraulic conductivity. These are the same as the 
properties used in the 1996 version of the net-infiltration model, which are listed by Flint 
et al. (1996 [DIRS 100147], Table 4, p. 42) and Appendix B. 
6.6.4 Bedrock Geology 
Bedrock geology was defined for each grid element using three different ARCINFO map 
coverages and a vector-to-raster conversion performed by ARCINFO. Figure 6-13 indicates the 
areal coverage of the three maps: the 1:6,000-scale Bedrock Geologic Map of the central block 
area (Day et al. 1998 [DIRS 101557], DTN: GS971208314221.003 [DIRS 107128]); the 
Preliminary Geologic Map of Yucca Mountain, Nye County, Nevada, with Geologic Sections 
(Scott and Bonk 1984 [DIRS 104181], DTN: MO0003COV00095.000 [DIRS 146848]); and the 
Geologic Map of the Topopah Spring Northwest Quadrangle found in Preliminary Digital 
Geological Map Database of the Nevada Test Site Area, Nevada (Sawyer 
et al. 1995 [DIRS 104580], DTN: GS000300001221.010 [DIRS 147833]). Within the UZ flow 
model area, bedrock geology for the net-infiltration model (which is defined as a unique integer 
identifier for each rock type in the geospatial-parameter input file) is primarily defined by 
Day et al. (1998 [DIRS 101557]). Bedrock geology for the northern and southern perimeter 
sections of the UZ flow model area is defined by Scott and Bonk (1984 [DIRS 104181]). 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-40 November 2004 
Source: Flint et al. (1996 [DIRS 100147]), Figure 14. 
Output DTN: GS000308311221.004. 
NOTE: The 1999 UZ flow model domain and the 1999 repository footprint are site recommendation boundaries 
(solid lines), not license application boundaries (dashed lines). 
Figure 6-12. Recombined Soil Classes Used in the 1996 Net-infiltration Model 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-41 November 2004 
Sources: Day et al. (1998 [DIRS 101557]), DTN: GS971208314221.003 [DIRS 107128]; Scott and Bonk (1984 
[DIRS 104181]), DTN: MO0003COV00095.000 [DIRS 146848]; Sawyer et al. (1995 [DIRS 104580]), 
DTN: GS000300001221.010 [DIRS 147833]. 
NOTE: The 1999 UZ flow model domain and the 1999 repository footprint are site recommendation boundaries 
(solid lines), not license application boundaries (dashed lines). 
Figure 6-13. Overlay of the Three Geologic Maps Used to Define Rock Types Underlying the Root Zone 
and Included in the Bottom Root-zone Layer 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-42 November 2004 
Bedrock geology for the 1996 version of the net-infiltration model was defined by Scott and 
Bonk (1984 [DIRS 104181]; DTN: MO0003COV00095.000 [DIRS 146848]) and Sawyer 
et al. (1995 [DIRS 104580], DTN: GS000300001221.010 [DIRS 147833]) map coverages (Flint 
et al. 1996 [DIRS 100147], Figure 10). To incorporate the Day et al. (1998 [DIRS 101557]) 
geology for INFIL V2.0, the rasterized version of the Day et al. (1998 [DIRS 101557]) 
map coverages (DTN: GS971208314221.003 [DIRS 107128]) was integrated with the 
bedrock geology defined by the 1996 version of the geospatial input file 
(Output DTN: GS000308311221.004) using the routine GEOMAP7 V1.0. Figure 6-14 indicates 
that for some locations within the geologic map coverages (Day et al. 1998 [DIRS 101557]), 
bedrock geology for the net-infiltration model is defined by GEOMAP7 V1.0 using the geologic 
map (Scott and Bonk 1984 [DIRS 104181]; DTN: MO0003COV00095.000 [DIRS 146848]). 
The purpose of including the Scott and Bonk (1984 [DIRS 104181]) geology 
(DTN: MO0003COV00095.000 [DIRS 146848]) within the Day et al. (1998 [DIRS 101557]) 
map coverages (DTN: GS971208314221.003 [DIRS 107128]) is to estimate bedrock geology for 
some locations mapped by Day et al. (1998 [DIRS 101557]) as alluvium or colluvium and 
having intermediate soil depths less than 6 m (as defined by the soil depth class map from 
Flint et al. (1996 [DIRS 100147], Figure 13; DTN: GS960508312212.007 [DIRS 124829]). 
Locations having intermediate soil depths primarily occur in the transition from upland areas to 
alluvial fans and basins. Assigning a bedrock type of colluvium or alluvium to grid cells having 
a soil depth less than 6 m was considered problematic in terms of modeling net infiltration. 
Conceptually, all grid cells with a soil depth less than 6 m should be underlain by a consolidated 
bedrock type to avoid inconsistency in terms of the assigned soil depth and the estimated rootzone 
depth. The available geologic maps, however, are representations of the surface geology 
and do not necessarily indicate bedrock geology for locations having one to 6 m of soil cover. In 
general, the consolidated bedrock geology defined by Scott and Bonk (1984 [DIRS 104181]) 
extends farther into the intermediate soil-depth areas then the consolidated bedrock geology 
defined by Day et al. (1998 [DIRS 101557]) and thus was substituted by GEOMAP7 V1.0 for 
the colluvium or alluvium defined by Day et al. (1998 [DIRS 101557]) at many locations with 
intermediate soil depths. 
To ensure that a consolidated rock type was defined as the bedrock geology for all grid cells 
having less than 6 m of soil, the routine GEOMOD4 V1.0 was applied to the geospatial 
parameter file created by GEOMAP7 V1.0. GEOMOD4 V1.0 also performs a modification of 
the depth-class #3 boundary as defined by Flint et al. (1996 [DIRS 100147], p. 40) for all cases 
where the boundary was found to be inconsistent with the updated bedrock geology. The 
algorithm creates a new buffer zone of intermediate soil depths defined by depth class #3 using 
the updated alluvium/colluvium  consolidated bedrock boundary. The result is that the 
modified depth-class parameters defined by GEOMOD4 V1.0 do not allow for grid cells with 
depth class #4 (thick soils) to be adjacent to grid cells with thin soils (depth classes #1 and #2). 
All thin soils are separated from the thick soils by at least one grid cell assigned to depth 
class #3. Once the soil-depth classes are finalized, GEOMOD4 V1.0 identifies all grid cells 
having less than 6 m of soil and alluvium or colluvium as bedrock and interpolates the bedrock 
geology based on the most prevalent consolidated rock type found within a search neighborhood 
of one to two grid cell layers. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-43 November 2004 
Source: DTN: MO0109HYMXPROP.001 [DIRS 155989]. 
NOTE: The 1999 UZ flow model domain and the 1999 repository footprint are site recommendation boundaries 
(solid lines), not license application boundaries (dashed lines). 
Figure 6-14. Estimated Field-scale Saturated Hydraulic Conductivity of Bedrock or Soils Underlying the 
Root Zone 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-44 November 2004 
Bedrock geology is represented in the geospatial-parameter-input file using a unique integer 
identifier for each rock type (see Appendix B for details). The identifier is linked to an estimated 
bulk (field-scale) saturated hydraulic conductivity in the model control file. The bulk saturated 
hydraulic conductivity represents a combination of the saturated hydraulic conductivity of the 
matrix (Flint 1998 [DIRS 100033]; DTN: MO0109HYMXPROP.001 [DIRS 155989]) and the 
saturated hydraulic conductivity of fracture-fill material (DTN: GS950708312211.003 
[DIRS 146873]) based on the fracture density of the particular rock type. The saturated 
hydraulic conductivity of the fracture fill material was measured in the laboratory and 
averaged 43.2 mm/d (DTN: GS950708312211.003 [DIRS 146873]) (Appendix B). Estimates of 
saturated hydraulic conductivity were calculated using these values of fracture conductivity for 
the percentage of area covered by the fracture per square meter of rock, given the fracture 
density and size of aperture available through which water can flow. This was added to the 
saturated hydraulic conductivity of the rock matrix and weighted averages of bulk bedrock 
saturated hydraulic conductivity were calculated on the basis of percentages of matrix and 
fractures by lithostratigraphic unit. These calculations are also provided by Flint et al. 
(1996 [DIRS 100147], Table 2; Output DTN: GS000308311221.004), and in Appendix B. Bulk 
saturated hydraulic conductivity values for the updated Day et al. (1998 [DIRS 101557]) geology 
rock types were defined using lithologic correlations with the Scott and Bonk (1984 
[DIRS 104181]) geology (DTN: MO0003COV00095.000 [DIRS 146848]). In general, the 
number of unique bedrock units with different bulk hydraulic conductivity values decreased with 
the incorporation of the Day et al. (1998 [DIRS 101557]) geology. Figure 6-14 shows the bulk 
bedrock hydraulic conductivity for the three combined geologic map coverages. The bulk 
saturated hydraulic conductivities range from a minimum of less than 10 mm/year for densely 
welded tuffs with low matrix hydraulic conductivity and relatively small fracture densities to a 
maximum of more than 100,000 mm/year for alluvium and colluvium. 
The software routine, VEGCOV01 V1.0, is used in the development of the geospatial parameter 
input files for INFIL V2.0. The routine changes the saturated hydraulic conductivity 
of 13.83 mm/day for the Yucca Mountain Tuff of the Paintbrush Group (rock type 324). The 
different saturated hydraulic conductivity is assigned if the exposed Yucca Mountain Tuff is 
north of 4082606.93 m (rock type 309 is assigned with a saturated hydraulic conductivity 
of 0.06 mm/day) or south of 4079955.91 m north (rock type 308 is assigned with a saturated 
hydraulic conductivity of 46.66 mm/day) on Yucca Mountain. Table B-3 lists saturated hydraulic 
conductivities for all geologic units used with INFIL. Note that this routine also provides 
estimates of vegetation cover (hence the name of the subroutine) based on slope (steeper slopes 
are assumed to have less plants), aspect (north facing slopes assumed to have more plants), and 
geology (colluvium/alluvium assumed to have more plants). However, this component of the 
routine is not currently used by INFIL. 
6.7 ESTIMATED ROOT-ZONE DEPTH AND VERTICAL LAYERING 
6.7.1 Estimated Soil Depth 
Soil depth is estimated using a combination of the soil-depth class map and an estimated linear 
relation between soil depth and slope within each depth class. The empirical soil-depth model is 
based on an assumed soil depth/slope correlation (Output DTN: GS000308311221.004), 
Appendix B, within the soil depth classes defined for the 1996 version of the net-infiltration 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-45 November 2004 
model (Flint et al. 1996 [DIRS 100147]; DTN: GS960508312212.007 [DIRS 124829]). The 
conceptual soil-depth model for depth class #1 assumes that soils are thinnest at summit and 
ridge-crest areas as well as steep side slopes. Thicker soils are expected to occur at the relatively 
gently sloping shoulder areas that define the transition between summit or ridge-crest areas and 
steep side slope areas. Thicker soils are also expected to occur for more gently sloping 
foot-slope locations. The model for soil-depth class 1 is defined by: 
D = 0.03 * S + 0.1, S = 10 (Eq. 6-14) 
D = 0.013 * (10 - S) + 0.4, 10 < S < 40 
D = 0.01, S = 40 
where D is soil depth (in meters), and S is slope (degrees). The model for depth class #2 is 
defined by: 
D = 2  (0.05 * S), S < 32 (Eq. 6-15) 
D = 0.4, S = 32 
and the model for depth class #3 is defined by: 
D = 6 - (0.16 * S), S < 25 (Eq. 6-16) 
D = 2.0, S = 25 
For depth class #4, soil depth is set to a uniform depth of 6 m. 
Figure 6-15 shows the spatial distribution of estimated soil depth (Output 
DTN: GS000308311221.004) with relatively thin soils less than 0.2 m deep along steep side 
slopes, and thicker upland soils 0.3 to 0.4 m along ridgetop and shoulder areas. All locations 
having a soil depth of 6 m (as indicated by the color gray in Figure 6-12) are underlain by 
alluvium or colluvium rock-types. The six-meter soil depth represents only the depth of the root 
zone, not the actual soil depth. 
6.7.2 Estimated Root-Zone Depth 
The estimated soil-depth map is used to estimate the depth of the root zone by using an empirical 
model based on field observations and neutron moisture meter data analyses: 
RZk = SDk + [RZc - (SDk/RZd)], [RZc - (SDk/RZd)] = 0 (Eq. 6-17) 
RZk = SDk, [RZc - (SDk/RZd)] < 0 
where RZk is the estimated root-zone depth (in meters) at grid location k; SDk is the estimated 
soil depth at grid location k; and RZc and RZd are coefficients supplied as input in the model 
control file. The coefficients are used to adjust the depth of the root zone extending into bedrock 
for locations with thin soils. For example, for the present-day climate simulations, RZc and RZd 
were both set to 2, and thus the extension of the root zone into bedrock was limited to locations 
with soil depth less than 4 m. Using Equation 6-17, the root zone extends 2 m into bedrock for 
locations having no soil, one meter into bedrock for locations having 2 m soil depth, 
and 1.5 m into bedrock for locations having 1 m soil depth. The empirical model defined by 
Equation 6-17 is consistent with the estimated root-zone depth as defined by Flint 
et al. (1996 [DIRS 100147] Table 5) and is derived on the basis of field observations of rooting 
depth into bedrock, and evaluation of measurements of extraction of water within the estimated 
root zone in bedrock, using neutron moisture meters. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-46 November 2004 
Source: DTN: GS960508312212.007 [DIRS 124829]. 
Output DTN: GS000308311221.004. 
NOTE: The 1999 UZ flow model domain and the 1999 repository footprint are site recommendation boundaries 
(solid lines), not license application boundaries (dashed lines). 
Figure 6-15. Estimated Soil Depth Using the 1996 Soil-depth Class Map and Calculated Land-surface 
Slope 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-47 November 2004 
6.7.3 Estimated Root-Zone Layering and Root-Zone Density 
Root-zone layers are defined to represent differences in root-zone density, storage capacity, and 
hydrologic properties affecting evapotranspiration and percolation within the root zone. The 
layers are used to model vertical percolation and redistribution of water in the root zone, as 
described in Sections 6.4.5 and 6.4.6. The top layer is used to model both bare-soil evaporation 
and shallow transpiration. Three lower root-zone layers, which include two soil layers and the 
bottom bedrock layer, are used for modeling transpiration only. The thickness of each of the 
four root-zone layers is variable and is defined by the soil-depth map. The thickness of the 
bottom bedrock layer, RZ4k, is the extension of the root zone into bedrock, as defined using 
Equation 6-17 above. The thickness of each of the three soil root-zone layers is defined using: 
RZ1k = SDk SDk = RZa (Eq. 6-18) 
RZ2k = 0 
RZ3k = 0 
RZ1k = Rza RZa = SDk = RZb 
RZ2k = SDk - RZa 
RZ3k = 0 
RZ1k = RZa RZb = SDk 
RZ2k = RZb - RZa 
RZ3k = SDk - RZb 
where RZ1 is the top root-zone layer thickness (in meters) for grid cell k; RZ2 is the second soil 
layer thickness; and RZ3 is the third soil layer thickness. Model coefficients RZa and RZb 
define the maximum thickness of the soil layers. For example, for the present-day climate 
scenarios, RZa = 0.3 and RZb = 1.5, and thus the maximum thickness of the top layer 
is 0.3 meter, the maximum thickness of the second layer is 1.2 m, and the maximum thickness of 
the third layer is 4.5 m. According to this model, root zones in upland locations with thin soils 
less than 1.5 m deep consist of one or two soil layers and one bedrock layer, while alluvial fan 
terraces having 6 m or greater soil thickness have three soil layers and no bedrock layer. 
The multilayered root-zone model represents variable root-zone properties between layers by 
using a set of model coefficients specific to each layer. The model coefficients consist of two 
root-density-weighting factors for each layer (including the bedrock layer) and are defined in the 
model control file. These root-density-weighting factors were assumed, but are partially based 
on field observations of root distributions of various plant types at Yucca Mountain. Soil storage 
capacities are defined for the three soil layers using the soil-type identification assigned to each 
grid cell in the geospatial-parameter input file, soil porosity, and soil thickness. The bedrock 
fracture porosity (a coefficient included in the model control file) and the thickness of the 
bedrock layer define the storage capacity of the bedrock layer. For the 1999 simulations 
performed in this model activity, a fracture porosity of 0.02 was used for the present-day climate 
during model calibration based on comparisons of simulated versus measured stream flow. This 
value is consistent with the fracture porosity value used for TCw in Calibrated Properties Model 
(BSC 2004 [DIRS 169857], Table 4-3). The total water-storage capacity of the root zone is a 
function of the estimated root-zone depth, soil depth, soil porosity, and the bedrock fracture 
porosity. Figure 6-16 illustrates the calculated total water-storage capacity of the root zone. 
Minimum storage capacities of approximately 40 mm occur in upland areas with very thin soils 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-48 November 2004 
and indicate the root-zone water storage capacity of fractured bedrock. Maximum storage 
capacities of more than 1,000 mm occur at locations with thick alluvium and no bedrock layer 
included in the root zone. 
Source: Output DTN: GS000308311221.004. 
NOTE: The 1999 UZ flow model domain and the 1999 repository footprint are site recommendation boundaries 
(solid lines), not license application boundaries (dashed lines). 
Figure 6-16. Total Water-Storage Capacity of the Modeled Root Zone, Including Bedrock and Soil Layers 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-49 November 2004 
6.8 MODEL CALIBRATION 
The 1996 model was initially calibrated by comparing model-calculated volumetric water 
contents and infiltration rates with those obtained through analysis of time-series water-content 
profiles from the network of boreholes described in Section 6.3.4 and by Flint 
et al. (1996 [DIRS 100147]). Evapotranspiration parameters were adjusted during these 
calibrations, which are presented in detail in Section 6.8.3. Because the 1996 model did not 
account for infiltration from surface-water runoff in channels, it was necessary to increase 
precipitation input to the model to obtain a good match with the borehole water-content profiles, 
particularly during wet years. 
Because the 1999 infiltration model has the capability to route surface run off and calculate the 
resulting infiltration in channels, the calibration approach for the 1999 model differed from that 
for the 1996 model. Accordingly, the 1999 infiltration model was calibrated through comparison 
of simulated and measured daily mean discharge at five stream gages in operation at Yucca 
Mountain during 199495 (DTN: GS941208312121.001 [DIRS 107374]; GS960908312121.001 
[DIRS 107375]). To facilitate the trial-and-error calibration process using smaller watershed 
domains with reduced simulation run-times, calibration watershed models were extracted using 
the routine WATSHD20 V1.0 (as described in Section 6.5.3) and the locations of the 
stream-gaging sites. The simulated run-on depth for the grid cells in which the gages were 
located was converted to a daily mean discharge rate, and compared to the recorded daily mean 
discharge rate. 
Using a manual trial-and-error process, parameters defining the root-zone model were adjusted 
until a satisfactory fit between simulated and recorded daily mean discharge at all five gaging 
sites was obtained. The primary parameters adjusted were the thickness of the bedrock layer 
included in the root-zone for upland areas, the effective storage capacity of the bedrock layer 
available for evapotranspiration, and the root-zone density weighting parameters for all four 
root-zone layers. The root-zone weighting parameters mathematically represent the relative 
density of the roots for the root-zone layers. These are assumed values, and the bounds within 
which the densities could vary were also assumed. For wetter future climates, the parameters 
were adjusted to represent an assumed increase in root density and root zone depth with an 
increase in vegetation cover and a change in vegetation type that was, in turn, assumed to be 
representative of the predicted future climate conditions provided in Future Climate Analysis 
(BSC 2004 [DIRS 170002]). The bounds assumed for the thickness of the bedrock layer 
included in the root-zone for upland areas is 0 to 2 m (Section 5), the effective storage capacity 
of the bedrock layer available for evapotranspiration ranges from 0.05 to 0.5, and the root-zone 
density weighting parameters for the four root-zone layers range from 0.01 to 0.6 (Section 6.7.3). 
The parameters were manually adjusted within these bounds until measured runoff could be 
reasonably matched by the simulation results simultaneously for all five-calibration watersheds. 
During the 1999 model calibration, the observation was made that a sufficient bedrock storage 
term within the root-zone was needed to produce satisfactory model calibration results, given 
that the effective bedrock hydraulic conductivity and the soil depth parameters were held 
constant during model calibration. Another parameter that was adjusted during calibrations was 
effective surface-water flow area. This parameter had little effect on the resultant net infiltration. 
From field observations, an initial area was assumed to be about 1 to 99 percent of the grid 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-50 November 2004 
block. If the stream discharge generated using this value did not match field observations then 
this value was changed during model calibration. 
6.8.1 Climate Input Used for Model Calibration 
The climate input file used for model calibration, mod3-ppt.dat (Appendix A, Yucca Mountain 
1980-95 Developed Daily Precipitation Record), consists of daily precipitation estimates and was 
developed using an EXCEL worksheet (mod3-ppt.xls) and daily precipitation records from 1980 
through 1995 at Yucca Mountain and from nearby locations (DTNs: GS000200001221.002 
[DIRS 146277]; GS000100001221.001 [DIRS 146816]; GS000208312111.001 [DIRS 147245]; 
[DIRS 147247]; GS970108312111.001 [DIRS 125899]; GS010408312111.001 [DIRS 162978]). 
The developed record of daily precipitation is only an approximate representation of actual 
conditions over the general location and ground surface elevation of the repository area. Daily 
precipitation estimates for 1988 through 1995 were developed using the mean of the measured 
daily precipitation at USGS weather stations #1 and #3 located on Yucca Mountain 
(DTNs: GS000208312111.001 [DIRS 147245]; GS000208312111.003 [DIRS 147247]; 
GS970108312111.001 [DIRS 125899]; GS010408312111.001 [DIRS 162978]). 
For 1980 through 1987, daily precipitation was estimated using a linear interpolation model and 
available precipitation records from six Nevada Test Site (NTS) monitoring sites 
(DTN: GS000200001221.002 [DIRS 146277]) and two National Weather Service monitoring 
sites located near Yucca Mountain (DTN: GS000100001221.001 [DIRS 146816]). The linear 
interpolation model was developed using a weighted inverse-distance-squared estimation 
method. The weighting factors were calculated as the ratio of average annual precipitation for 
each of the eight stations over the mean calculated from the two USGS weather stations for the 
period July 17, 1987 through September 30, 1994 (this is the period for which the two sets of 
records overlapped). Table 6-1 provides a listing of all stations and corresponding precipitation 
records used to develop mod3-ppt.dat. Figure 6-17 shows the temporal distribution of daily 
precipitation amounts for the 1980-95 developed records. 
Daily air-temperature estimates used for model calibration were simulated internally 
in INFIL V2.0 using the sine wave function defined by Equation 6-2 in Section 6.4.2. The 
function coefficients are based on air temperature measurements (DTN: GS000208312111.002 
[DIRS 147250]) and they are described by Flint et al. (1996 [DIRS 100147], Eq. 20), 
where T1 = 17.3C for mean annual temperature and T2 = 11.74C for the half amplitude of the 
sine wave function defining the seasonal deviation from mean annual temperature. 
6.8.2 Stream Flow Records Used for Model Calibration 
The gage locations and records for the five stream gaging sites located on Yucca Mountain 
(Figure 6-18) (and within the area of the UZ flow model) were obtained from stream gaging 
stations (DTNs: GS941208312121.001 [DIRS 107374]; GS960908312121.001 [DIRS 107375]). 
The records consist of the estimated daily mean discharge, in cfs, for each day of the period 
covered by the record. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-51 November 2004 
Table 6-1. Stations and Precipitation Records Used to Develop the 198095 Daily Climate Input Files 
Used for Model Calibration and for Present-Day Climate Scenarios 
Precipitation Records Used for Developing 198095 Daily Climate Input Used for Model Calibration 
Station 
Name Data Source 
UTM 
Easting 
(m) 
UTM 
Northing 
(m) 
Station 
elevatio 
n (m) 
Record 
Starting 
Date 
Record 
Ending 
Date 
07/17/87 
09/30/94 
Average 
Annual 
Precipitation 
(mm) 
Beatty 8 N NCDC: 
GS000100001221. 
001 [DIRS 146816] 
525,211 4,094,707 1,082 12/01/72 12/31/94 133 
Amargosa 
Farms 
NCDC: 
GS000100001221. 
001 [DIRS 146816] 
547,723 4,046,733 747 12/01/65 12/31/94 107 
4JA NTS: 
GS000200001221. 
002 [DIRS 146277] 
563,949 4,070,874 1,043 12/01/57 09/30/94 154 
40MN NTS: 
GS000200001221. 
002 [DIRS 146277] 
563,726 4,100,456 1,469 02/15/60 09/30/94 201 
Rock 
Valley 
NTS: 
GS000200001221. 
002 [DIRS 146277] 
571,477 4,059,840 1,036 02/01/63 09/30/94 155 
Cane 
Spring 
NTS: 
GS000200001221. 
002 [DIRS 146277] 
580,273 4,074,710 1,219 09/01/64 09/30/94 202 
Mid Valley NTS: 
GS000200001221. 
002 [DIRS 146277] 
574,182 4,091,296 1,420 09/01/64 09/30/94 195 
Tippipah 
Spring #2 
NTS: 
GS000200001221. 
002 [DIRS 146277] 
572,619 4,100,528 1,518 09/01/64 09/30/94 206 
Weather 
station #1 
USGS: 
GS000208312111. 
001 [DIRS 147245] 
GS000208312111. 
003 [DIRS 147247] 
550,424 4,071,986 1,163 04/27/87 09/30/95 157 
Weather 
station #3 
USGS: 
GS000208312111. 
001 [DIRS 147245] 
GS000208312111. 
003 [DIRS 147247] 
548,038 4,080,316 1,351 06/06/87 09/30/95 179 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-52 November 2004 
Table 6-1. Stations and Precipitation Records Used to Develop the 198095 Daily Climate Input Files 
Used for Model Calibration and for Present-Day Climate Scenarios (Continued) 
Precipitation Records Used for Developing 100-Year Stochastic Models of Daily Climate Input 
Station 
Name Data Source 
UTM 
Easting 
(m) 
UTM 
Northing 
(m) 
Station 
Elevatio 
n (m) 
Record 
Starting 
Date 
Record 
Ending 
Date 
Complete 
Record 
Average 
Annual 
Precipitation 
(mm) 
4JA NTS: 
GS000200001221. 
002 [DIRS 146277] 
563,949 4,070,874 1,043 12/01/57 09/30/94 131 
Area 12 
Mesa 
NTS: 
GS000200001221. 
002 [DIRS 146277] 
569,533 4,115,294 2,283 03/11/59 10/04/94 315 
NCDC=National Climatic Data Center; NTS=Nevada Test Site; USGS= United States Geological Survey; 
UTM = Universal Transverse Mercator 
0 
10 
20 
30 
40 
50 
60
1 /1 /80 1/1 /82 1 /2 /84 1 /2 /86 1 /3/88 1 /3 /90 1/4 /92 1 /4 /94 
Da te 
Daily precipitation (mm) 
Source DTN: GS000208311221.001. 
Figure 6-17. Developed 198095 Daily Precipitation Record Used as Input for Model Calibration 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-53 November 2004 
Source: DTNs: GS960908312121.001 [DIRS 107375]; GS941208312121.001 [DIRS 107374]. 
NOTE: The 1999 UZ flow model domain and the 1999 repository footprint are site recommendation boundaries 
(solid lines), not license application boundaries (dashed lines). 
Figure 6-18. Location of Stream-Gaging Sites and Calibration Watersheds Defined by the Gaging Sites 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-54 November 2004 
6.8.3 Model Calibration Results 
6.8.3.1 1996 Model Calibration Results 
The 1996 model was calibrated by comparing measured volumetric water contents using neutron 
moisture meters (DTNs: GS940708312212.011 [DIRS 107136]; GS941208312212.017 
[DIRS 107137]; GS950808312212.001 [DIRS 107139]; GS960108312212.001 [DIRS 107141]) 
and simulated water-content data using the 1996 version of the infiltration model (Flint 
et al. 1996 [DIRS 100147]) that did not include stream-routing. At selected neutron boreholes, 
water-content data were summed for the soil profile and compared to the model simulation for 
the same time period by using the developed site precipitation record (Appendix A, Yucca 
Mountain 1980-95 Developed Daily Precipitation Record). Two examples are presented: 
borehole USW UZ-N50, with soil 2.7 m deep (Figure 6-19A) and borehole UE-25 UZN #63, 
with soil 1.7 m deep (Figure 6-19B). The match of the simulated and measured volumetric water 
content was improved by varying the a and b coefficient values in the Priestley-Taylor equation, 
which adjusted the evapotranspiration calculations of the simulated water content to better match 
the measured water content. Simulated water content compared well with measured water 
content, which indicated that the water-balance technique used in the model to calculate 
simulated net infiltration could correctly maintain the proper soil moisture. This is important for 
accurate determination of when the water-storage capacity of the soil was exceeded and ponding 
at the soil/bedrock interface had occurred, which controls the calculation of net infiltration. 
Using the 1996 model calibrated for evapotranspiration, to determine if simulations of net 
infiltration matched that calculated from the changes in water content in the neutron-borehole 
data was necessary. A direct comparison of measured neutron-borehole and simulated flux is 
difficult because the flux measured in the borehole occurs days to months following 
precipitation. However, annual comparisons between measured and simulated flux at the 
neutron boreholes can be used. 
In order to simulate net infiltration for a comparison at neutron-borehole point locations, 
precipitation was required at those specific locations. This was done using the developed daily 
precipitation record described in Section 6.8.1 and spatially distributed to the neutron borehole 
locations (Flint and Flint 1995 [DIRS 100394]) using Equation 6-3. Measured average annual 
precipitation is shown as the open squares in Figure 6-20 on a yearly basis, for the 
years 1985-95 for which neutron-borehole data is available. Some variation in average annual 
precipitation among boreholes can be seen for any given year (the crosses in Figure 6-20) due to 
the differences in borehole elevation, especially for those years with higher average annual 
precipitation. To improve the model calibration, because the infiltration model neglects runoff in 
channels by not routing runoff between grid cells, precipitation was increased in grid cells where 
there were channels to simulate increases in water available for infiltration due to concentration 
of water in the channels. This is indicated by the open circles in Figure 6-20. A 30-percent 
enhancement factor was chosen on the basis of iterations simulating infiltration from the 
simulated precipitation as described in the following paragraph. Average annual precipitation 
simulated including the enhancement factor for neutron boreholes located in channels, increased 
the variability among boreholes. 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-55 November 2004 
0.05 
0.1 
0.15 
0.2 
0.25 
VOLUMETRIC WATER CONTENT 
Simulated Measured USW UZ-N50 
0 
0.05 
0.1 
0.15 
0.2 
0.25 
VOLUMETRIC WATER CONTENT 
Simulated Measured UE-25 UZN #63 
(A) 
(B) 
1984 1986 1988 1990 1992 1994 
1991 1992 1993 1994 1995 
Source: DTNs: GS940708312212.011 [DIRS 107136]; GS941208312212.017 [DIRS 107137]; 
GS950808312212.001 [DIRS 107139]; GS960108312212.001 [DIRS 107141]. 
Figure 6-19. Graphs of Comparisons of Simulated (1996 Model) Net infiltration Using Water Content in 
Neutron Boreholes (A) USW UZ-N50 and (B) UE-25 UZN #63 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-56 November 2004 
0 
100 
200 
300 
400 
500 
AVERAGE ANNUAL PRECIPITATION, IN MILLIMETERS 
Simulated 
(no enhancement) 
Simulated 
(30-percent enhancement) 
Measured at 
weather stations 
1984 1986 1988 1990 1992 1994 1996 
Source: DTN: GS000208311221.001. 
Figure 6-20 Graph of Average Annual Precipitation Simulated (1996 Model) at Each Borehole Using 
Precipitation Record for 1980-95, and Simulated (1996 Model) with a 30-Percent 
Enhancement in the Channel Grid Blocks Only, Compared to Developed Precipitation 
Record Distributed Geostatistically to Each Borehole 
These simulated precipitation data were then used to simulate net infiltration at each borehole 
using the 1996 model (Figure 6-21). The average annual precipitation described above and 
estimates of net infiltration based on neutron-borehole water-content data 
(DTN: GS960508312212.008 [DIRS 122609]) are again represented by the open squares. 
Models were fit to each data set, and the results indicated that the regression model of net 
infiltration simulated with the model, using the 30-percent increase in precipitation at boreholes 
located in channels, provides a reasonable match to the calculated yearly values of flux 
(DTN: GS960508312212.008 [DIRS 122609]). Net infiltration simulated without 
the 30-percent channel enhancement factor is slightly lower (Figure 6-21). The only support for 
using a 30-percent enhancement factor is the improved match to the neutron-hole flux data. 
Because average annual precipitation was distributed to each borehole instead of using measured 
precipitation data at each borehole, detailed statistical analysis of the match would not be 
appropriate. General trends are adequate to indicate that the model represents the influence of 
the site characteristics, such as precipitation, topography, and soil and rock properties, as well as 
they currently are known. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-57 November 2004 
Source DTN: GS960508312212.008 [DIRS 122609]. 
Output DTN: GS000208311221.002. 
Figure 6-21. Graph of Precipitation Relative to Infiltration Simulated with the 1996 Model for Each 
Borehole with no Channel-Enhancement Factor and with 30-Percent Channelenhancement 
Factor, and Mean Annual Infiltration for all Boreholes 
6.8.3.2 1999 Model Calibration Results 
The 1999 model was calibrated by using stream discharge data. Table 6-2 lists the measured 
versus simulated daily mean discharge values at the five gaging sites for the two 
recorded 1995 storm events of January 2526 and March 11, 1995. The results provided a 
reasonable comparison of simulated to measured stream flow during the March 11,1995 event, 
which was approximately an order of magnitude greater than the January 2526 event. The 
model correctly predicts a higher daily mean discharge at the upper Pagany Wash gage relative 
to the lower Pagany Wash gage. The total simulated daily mean discharge of 33.63 ft3/s for the 
five calibration watersheds provides a good comparison with the total measured daily mean 
discharge of 31.20 ft3/s for the March 11, 1995, stream flow event. 
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MDL-NBS-HS-000023 REV 00 6-58 November 2004 
Table 6-2. Comparison of Measured Versus 1999 Model Simulated Daily Mean Discharge at 
Stream-Gaging Sites for Streamflow Events in 1995 
1995 Stream flow events (Daily Mean Discharge, in cfs) 
NWIS Database ATS#YD-200000269 
Calibration watershed Date 01/25/95 01/26/95 03/10/95 03/11/95 
Measured 0.00 0.01 0.00 8.60 
Lower Pagany Wash 
Simulated 0.00 0.00 0.00 7.23 
Measured 0.00 1.70 0.00 12.00 
Upper Pagany Wash 
Simulated 0.34 0.00 0.13 9.46 
Measured 0.00 0.00 0.00 5.00 
Upper Drillhole Wash 
Simulated 1.55 0.00 0.00 9.33 
Measured 0.10 1.50 0.00 3.00 
Upper Split Wash 
Simulated 0.07 0.02 0.28 3.69 
Measured 0.66 0.96 0.00 2.60 
Wren Wash 
Simulated 0.71 0.19 0.70 3.92 
Source: DTNs: GS941208312121.001 [DIRS 107374]; GS960908312121.001 [DIRS 107375]. 
cfs = cubic feet per second; NWIS= National Water Information System 
Comparison of model results with the January event indicates greater difficulty in matching the 
smaller stream flow events. This difficulty is associated with higher variability in predicting the 
occurrence and magnitude of a small and barely initiated stream flow event versus a large and 
well-sustained flow event. The January 2526 event did not include stream flow at the upper 
Drill Hole Wash gaging site, and only a barely measurable trace flow at the lower Pagany Wash 
gaging site. In addition, the January 2526 event may have been affected by snowfall and 
subsequent snowmelt occurring at higher elevations within the calibration watersheds, which 
would help explain the one-day delay in the measured stream flow as compared to the simulated 
flow, and the calibration simulations did not include simulation of snowmelt. 
The overall occurrence of stream flow at Yucca Mountain is still correctly predicted for the 
January 2526 event, along with the minimal flow volumes and the much higher relative 
variability in flow across the five gaging sites. The two flow events were the only occurrences of 
stream flow observed for the entire 199495 recording period and this was correctly predicted by 
the model. The relative magnitude of the smaller January 2526 event compared to the larger 
March 11 event was fairly well predicted by the model. 
The parameter values used in calibrations discussed above varied during the calibration exercises 
over the bounds indicated. Selection of the final set of parameter values was based on the 
combination of values that provided the best match to the measured stream flow records. The 
final parameter values were consistent across the five watersheds and are as follows: maximum 
thickness of the bedrock layer is 2 m, the effective storage capacity of the bedrock layer 
available for ET is 0.02, root-zone density weighting parameters for the upper soil depth 
zone is 1.0, second depth zone is 0.5, third depth zone is 0.2 and the bedrock zone is 0.01. The 
effective surface-water flow area parameter is 0.5. This is a non-unique solution because various 
different combinations of parameter values may provide similar or even identical results. The 
most important parameters adjusted during model calibration were the root zone weighting 
factors, the effective storage capacity of bedrock in the root zone (the product of the thickness of 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-59 November 2004 
the root zone in bedrock multiplied by the effective bedrock porosity), and the scaling factor 
used to determine the effective surface-water flow area. Similar calibration results might have 
been achieved by adjusting the bulk saturated bedrock hydraulic conductivity, soil depth, field 
capacity, and soil saturated hydraulic conductivity, but a detailed parameter optimization 
exercise was not necessary because variations in infiltration estimates are captured through the 
use of lower, mean, and upper bounds in TSPA (Section 6.9). This is supported by an additional 
calibration using updated bedrock permeability values as described in Section 7. 
6.9 REPRESENTATION OF CLIMATES FOR MODEL APPLICATION 
The present-day, monsoon, and glacial-transition climate stages are each represented with a drier 
lower bound, a wetter upper bound, and an intermediate mean climate scenario 
(DTNs: GS000208311221.002 and GS000208311221.001). The lower and upper bound 
scenarios are developed to account for uncertainty and variability in the characteristics of 
precipitation and air temperature for each estimated future climate stage. The mean climate 
scenario is developed to represent average conditions within each stage. To develop nine 
separate climate scenarios (three for each climate stage), separate INFIL V2.0 simulation results 
were averaged or sampled using the postprocessing program MAPADD20 V1.0. The program 
MAPADD20 V1.0 also combines the separate simulation results obtained for each of 
the 10 watershed modeling domains into a single result for the composite watershed model 
domain. Each individual simulation is defined by a unique combination of daily climate input 
and root-zone model coefficients (the coefficients are used to represent different vegetation 
characteristics). Characteristics of precipitation and air temperature for the estimated drier 
lower- and wetter- upper-bound monsoon and glacial-transition climate scenarios are defined in 
Future Climate Analysis (BSC 2004 [DIRS 170002]). To define the mean net-infiltration values 
for the monsoon and glacial-transition scenarios, the lower and upper bound net-infiltration 
estimates for each climate stage are averaged for each model grid cell. This implies that the 
distribution of net infiltration between the lower- and upper-bound scenarios for the monsoon 
and glacial-transition climate stages is symmetric (e.g., normal or uniform). 
To develop the daily climate input for INFIL V2.0 that is considered representative of the 
characteristics of the estimated upper bound monsoon, lower bound glacial-transition, and upper 
bound glacial-transition future climate scenario, available daily climate records at present-day 
analogue sites were used. Selection of the representative analogue sites is defined by Future 
Climate Analysis (BSC 2004 [DIRS 170002]) and is based on a comparison of predicted versus 
measured mean annual precipitation (MAP), mean annual temperature (MAT), and the seasonal 
distribution of MAP and MAT. For each climate scenario, at least two analogue sites were 
identified. Individual simulations were performed for each analogue site, and the multiple 
simulations were averaged for all model grid cells to obtain a single net-infiltration estimate for 
each climate scenario. 
6.9.1 Assumptions Concerning Future Climate Scenarios Used For Simulation of Net 
Infiltration 
The estimation of potential surface net-infiltration rates and resulting percolation fluxes at the 
repository horizon, assumes that the climate scenarios developed in Future Climate Analysis 
(BSC 2004 [DIRS 170002]) are representative of possible future climate conditions. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-60 November 2004 
Assumptions and uncertainties regarding the estimated monsoon and glacial-transition potential 
future climate scenarios, including the timing and duration of each estimated future climate 
stage, are documented in Future Climate Analysis (BSC 2004 [DIRS 170002]). 
Estimates of potential future climate conditions at Yucca Mountain for the next 10,000 years 
were taken directly from Future Climate Analysis (BSC 2004 [DIRS 170002]). The scenarios 
define the timing, duration, and characteristics of three distinct potential future climate stages 
based on analysis and interpretations of periodic cycles identified in paleoclimate records. 
A general assumption is made that patterns in past climate cycles will be repeated in the future. 
The first climate stage is a continuation of current present-day climate conditions from presentday 
to approximately 400 to 600 years into the future. The second climate stage begins 
approximately 400 to 600 years from present-day and is characterized as a monsoon climate with 
wetter summers relative to present-day climate. The monsoon climate is predicted to last 
between 900 to 1,400 years long. Therefore, the third climate stage begins at 
between 1,300 and 2,000 years from present-day and is characterized as a glacial-transition 
climate with cooler air temperatures and on average higher annual precipitation relative to 
present-day climate (BSC 2004 [DIRS 170002]). The duration of the glacial-transition climate is 
estimated to be 10,000 years, extending 2,000 years beyond the required 10,000-year regulatory 
period (BSC 2003 [DIRS 166296], p. 4). 
Results from Future Climate Analysis (BSC 2004 [DIRS 170002]) include the identification of a 
set of appropriate current climate analogue sites for representing the estimated future climate 
stages in terms of MAP, MAT, and seasonal distributions of MAP and MAT. To incorporate 
uncertainty as variability in precipitation, and to a lesser degree air temperature characteristics, in 
the three estimated climate stages and corresponding estimates of net infiltration, results from 
Future Climate Analysis (BSC 2004 [DIRS 170002]) define a lower and upper bound climate 
scenario within each climate stage. To reduce uncertainty in the selection of a single best 
analogue site, the lower and upper bound climate scenarios are represented using a set of two or 
three analogue sites identified by Future Climate Analysis (BSC 2004 [DIRS 170002]). Net 
infiltration is simulated using the climate input developed from the records at each analogue site, 
and the results are averaged to obtain an estimate of net infiltration for a given climate scenario. 
Assumptions and uncertainties regarding the estimated monsoon and glacial-transition potential 
future climate scenarios, including the timing and duration of each estimated future climate 
stage, are documented by Future Climate Analysis (BSC 2004 [DIRS 170002]). For model 
application using the developed daily climate input for each climate scenario, assumptions in 
defining the root-zone model coefficients are required. In developing the net-infiltration 
estimates for each climate scenario using a simple averaging of multiple simulation results, the 
length of the various simulation periods are assumed to be adequate for characterizing a given 
climate scenario. To develop an estimate of net infiltration for the mean climate scenario within 
the monsoon and glacial-transition climate stages, a uniform distribution of net-infiltration rates 
is assumed between the upper and lower bound estimates at each model grid cell. 
Net-infiltration estimates for the mean present-day climate net-infiltration scenario were obtained 
by averaging simulations performed specifically for the mean present-day climate and thus are 
not necessarily equivalent to the arithmetic mean of the estimates for the upper and lower bound 
present-day climate scenarios. 
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MDL-NBS-HS-000023 REV 00 6-61 November 2004 
6.9.2 Present-Day Climate Scenarios 
Net-infiltration estimates for the mean present-day climate scenario (which is also used to define 
the lower bound monsoon climate scenario) were calculated using MAPADD20 V1.0, the 
net-infiltration simulation results for the 198095 model calibration period, and results obtained 
using a 100-year stochastic simulation of daily precipitation modeled with 
the NTS station 4JA precipitation record (Appendix C, Development of Daily Climate Input 
using DAILY09 V1.0). A summary of the climate input used for the 1980-95-calibration period 
and the 100-year 4JA stochastic simulation is provided in Table 6-3. The length of 
the 1980-95-calibration period is short relative to the length of climate records considered 
adequate for characterizing climate conditions in the southern Nevada region, and the 4JA record 
provides a relatively long-term (longer than 30 years) record of precipitation near the repository 
site. The 100-year stochastic simulation provides an even longer-term representation of climatic 
conditions while incorporating the magnitudes and temporal distribution of the shorter-term 
measured record. In performing the INFIL V2.0 simulations, the daily precipitation amounts for 
the 4JA 100-year stochastic simulation are scaled using the ratio of mean annual precipitation 
between the Yucca Mountain (181 mm) and 4JA (140 mm) sites in order to account for 
orographic effects. 
The stochastic precipitation model used to develop the 100-year simulation for 4JA consists of a 
pseudo-random number generator that provides a normalized uniform deviate for a two-step 
process of simulating daily precipitation. The first step uses a third-order two-state (precipitation 
either occurs or does not occur) Markov chain process to determine the occurrence of daily 
precipitation, and the second step uses a modified, exponential, cumulative-probabilitydistribution 
function to determine the magnitude of daily precipitation. The third-order Markov 
chain model defines the probability of precipitation for the fourth day of a sequence given the 
known sequence of precipitation occurrences for the preceding three days. The stochastic 
simulations are performed using the program PPTSIM V1.0 (STN: 10143-1.0-00), which 
requires a prime integer seed for the pseudo-random number generator and monthly model 
parameters for the Markov chain and the cumulative-probability-distribution function. 
The monthly model parameters are obtained using the program MARKOV V1.0 
(STN: 10142-1.0-00) and available records of daily precipitation for the site or station being 
modeled. For this analysis, the monthly parameters for station 4JA were obtained using the daily 
precipitation record for 4JA through December 31, 1993 (DTN: GS000200001221.002 
[DIRS 146277]), and are identical to the parameters used by Flint et al. (1996 [DIRS 100147]), 
Table 6). 
Mean net-infiltration estimates for the upper bound present-day climate scenario were calculated 
using MAPADD20 V1.0, the net-infiltration simulation results for the 198095 model 
calibration period, and results obtained using a 100-year stochastic simulation of daily 
precipitation modeled using the NTS station Area 12 Mesa precipitation record (through 
December 31, 1993) (DTN: GS000200001221.002 [DIRS 146277]) and the programs 
MARKOV V1.0 and PPTSIM V1.0. A summary of the Area 12 Mesa 100-year stochastic 
simulation of daily precipitation is provided in Table 6-3. For this analysis, the monthly 
parameters for station Area 12 Mesa are identical to the parameters used by Flint 
et al. (1996 [DIRS 100147]), Table 6). The upper bound present-day climate scenario is 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-62 November 2004 
considered to be representative of wetter conditions from enhanced El Nio Southern Oscillation 
activity or other sources of present-day climate variability. 
Table 6-3. Summary of Developed Daily Climate Input Files Used for Present-day Climate Scenarios 
Yucca Mountain 
Calibration Daily 
Climate Input 
4JA Stochastic 
Simulation 
Area 12 Mesa 
Stochastic 
Simulation 
Filename Mod3-ppt.dat 4JA.s01 Area12.s01 
Beginning of record 01/01/1980 n/a n/a 
Ending of record 10/01/1995 n/a n/a 
Total number of years for simulation 15.75 100 100 
Mean annual precipitation (mm) 181 140 328 
Maximum daily precipitation (mm) 58 82 76 
Source: DTN: GS000208311221.001. 
Net-infiltration estimates for the lower bound present-day climate scenario were obtained using 
MAPADD20 V1.0 and sampling the 1980-95 simulation, the 4JA 100-year stochastic simulation, 
and the driest (in terms of net infiltration) 10-year period within the 4JA 100-year simulation for 
the lowest net infiltration rate at each grid cell. The lower bound present-day climate scenario is 
considered to be representative of climate conditions resulting in minimum net infiltration, which 
may not necessarily be representative of the driest climate conditions in terms of mean annual 
precipitation. 
6.9.3 Monsoon Future Climate Scenarios 
The lower bound monsoon climate scenario is defined by Future Climate Analysis 
(BSC 2004 [DIRS 170002]) as being equivalent to the mean present-day climate scenario. The 
upper bound monsoon climate is represented using daily climate records from two analogue sites 
identified in Future Climate Analysis (BSC 2004 [DIRS 170002], and 
DTN: GS000308315121.003 [DIRS 151139]): Nogales, Arizona and Hobbs, New Mexico. A 
summary of the daily climate records, which were obtained as National Climatic Data 
Center/National Oceanic and Atmospheric Administration (NCDC/NOAA) records from the 
EARTHINFO database (DTN: GS000100001221.001 [DIRS 146816]), is provided in 
Table 6-4. The daily climate records from the two sites were exported from the EARTHINFO 
database (using the NCDC format option), and the exported files (Nogales.dat and Hobbs.dat) 
were provided as input to the program DAILY09 V1.0, which reformats the NCDC format into 
the xyz column format required by INFIL V2.0. In addition to reformatting, 
DAILY09 V1.0 also identifies gaps in the precipitation and the maximum and minimum air 
temperature records. Minor gaps (10 days or less for precipitation and 20 days or less for air 
temperature) are filled using an estimate of zero for precipitation and linear interpolation 
between the days having records on either side of the gap for air temperature. Years having 
major gaps in the record are identified and omitted from the reformatted output. Average daily 
air temperature is estimated as the mean of the recorded maximum and minimum daily air 
temperatures. Output from DAILY09 V1.0, which includes the average daily air temperature 
estimate is provided directly as input to INFIL V2.0. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-63 November 2004 
Table 6-4. Summary of Analogue Climate Records Used to Develop the Daily Climate Input for the 
Upper Bound Monsoon Climate Scenario 
Monsoon Upper Bound 
#1(MU1) 
Monsoon Upper Bound 
#2(MU2) 
Source filename Nogales.dat Hobbs.dat 
Approximate Station Location Nogales, AZ Hobbs, NM 
NCDC Station Code AZ 5921 NM 4026 
Elevation (m) 1,162 1,102 
Latitude (deg, min, sec) 31, 21, 00 32, 42, 00 
Longitude (deg, min, sec) 110, 55, 00 103, 08, 00 
Beginning of record July, 1948 January, 1948 
Ending of record June, 1983 December, 1997 
Number of complete years of record 33 50 
Mean annual precipitation (mm) 414.0 417.6 
Mean January - March precipitation (mm) 70.6 36.8 
Mean April - June precipitation (mm) 20.3 120.9 
Mean July - September precipitation (mm) 251.5 191.3 
Mean October - December precipitation (mm) 78.5 140.2 
Maximum daily precipitation (mm) 77.7 190.5 
Mean annual snow (mm) 7.5 13.2 
Mean October - March snow fall (mm) 6.8 13.1 
Mean April - September snow fall (mm) 0.6 0.6 
Maximum daily snow fall (mm) 30.5 25.4 
Mean daily air temperature ( C) 15.8 16.8 
Mean October - March daily air temperature ( C) 10.5 10.2 
Mean April - September daily air temperature ( C) 21.2 23.2 
Source: DTN: GS000100001221.001 [DIRS 146816]. 
NCDC=National Climatic Data Center 
The upper bound monsoon climate net infiltration result is calculated as the arithmetic mean of 
the separate Nogales (MU1) and Hobbs (MU2) net infiltration simulations using the program 
MAPADD20 V1.0. The mean monsoon climate net infiltration result is calculated as the 
arithmetic mean of the lower and upper bound net infiltration results using MAPADD20 V1.0. 
This method assumes a normal, or symmetrical, distribution in net infiltration results between the 
lower and upper bound monsoon climate results15. The mean values were calculated using a set 
of two or more simulation results obtained from the daily climate input developed from the 
analogue sites defined in Future Climate Analysis (BSC 2004 [DIRS 170002]). The purpose of 
using multiple analogue sites is to reduce the uncertainty involved in the selection of a single 
analogue site as being representative of the predicted future climate conditions. The fact that UZ 
processes are non-linear is not relevant to the concept of reducing uncertainty in model results. 
Each individual simulation is in effect one realization of a set of possible results, based on the 
uncertainty in climate input as well as geospatial parameters, model coefficients, and material 
properties. 
15 The net infiltration results include the calculated average annual rates for all components of the water balance 
(precipitation, snow fall, evapotranspiration, root-zone water content change, etc.). A symmetric distribution is 
assumed for all components of the water balance. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-64 November 2004 
6.9.4 Glacial-Transition Future Climate Scenarios 
The lower bound glacial-transition climate is represented using daily climate records from two 
analogue sites identified by Future Climate Analysis (BSC 2004 [DIRS 170002], and 
DTN: GS000308315121.003 [DIRS 151139]): Beowawe, Nevada and Delta, Utah. A summary 
of the daily climate records for the two lower bound glacial-transition analogue sites, which were 
obtained as NCDC/NOAA records from the EARTHINFO database 
(DTN: GS000100001221.001 [DIRS 146816]), is provided in Table 6-5. Following the 
methods described in Section 6.9.3, the routine DAILY09 V1.0 is applied to the NCDC format 
EARTHINFO exported files to develop the daily climate input files for INFIL V2.0. The lower 
bound glacial-transition net infiltration result is calculated as the arithmetic mean of the separate 
Beowawe (GL1) and Delta (GL2) net infiltration simulations using the program MAPADD20 
V1.0. The upper bound glacial-transition climate is represented using daily climate records from 
three analogue sites identified by Future Climate Analysis (BSC 2004 [DIRS 170002], and 
DTN: GS000308315121.003 [DIRS 151139]): Rosalia, Washington; Spokane Washington; and 
St. John, Washington. A summary of the daily climate records for the three upper bound 
glacial-transition analogue sites, which were obtained as NCDC/NOAA records from the 
EARTHINFO database, is provided in Table 6-6. The routine DAILY09 V1.0 is applied to the 
exported EARTHINFO files for the three analogue sites, and the upper bound glacial-transition 
net infiltration result is calculated as the arithmetic mean of the separate Rosalia (GU1), Spokane 
(GU2), and Delta (GU3) net infiltration simulations using the program MAPADD20 V1.0. The 
mean glacial-transition climate net infiltration result is calculated as the arithmetic mean of the 
lower and upper bound net infiltration results using MAPADD20 V1.0. 
Table 6-5. Summary of Analogue Climate Records Used to Develop the Daily Climate Input for the 
Lower Bound Glacial-Transition Climate Scenario 
Glacial-Transition Lower 
Bound #1 (GL1) 
Glacial-Transition Lower 
Bound #2 (GL2) 
Source filename Beowawe.dat Delta.dat 
Approximate Station Location Beowawe, Nevada Delta, Utah 
NCDC Station Code NV 795 UT 2090 
Elevation (m) 1432 1409 
Latitude (deg, min, sec) 40, 35, 25 39, 20, 22 
Longitude (deg, min, sec) 116, 28, 29 112, 35, 45 
Beginning of record July 1949 June, 1938 
Ending of record December 1997 December 1997 
Number of complete years of record 42 52 
Mean annual precipitation (mm) 219.5 197.9 
Mean January - March precipitation (mm) 53.6 50.3 
Mean April - June precipitation (mm) 71.9 55.6 
Mean July - September precipitation (mm) 31.0 40.4 
Mean October - December precipitation (mm) 70.1 67.8 
Maximum daily precipitation (mm) 43.2 65.8 
Mean annual snow fall (mm) 36.6 63.9 
Mean October - March snow fall (mm) 29.7 57.3 
Mean April - September snow fall (mm) 1.7 5.2 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-65 November 2004 
Table 6-5. Summary of Analogue Climate Records Used to Develop the Daily Climate Input for the 
Lower Bound Glacial-Transition Climate Scenario (Continued) 
Glacial-Tansition Lower 
Bound #1 (GL1) 
Glacial-Tansition Lower 
Bound #2 (GL2) 
Maximum daily snow fall (mm) 25.4 40.6 
Mean air temperature (Celsius) 8.8 10.1 
Mean October - March air temperature (Celsius) 1.9 2.1 
Mean April - September air temperature (Celsius) 15.7 18.0 
Source: DTN: GS000100001221.001 [DIRS 146816]. 
NCDC=National Climatic Data Center 
Table 6-6. Summary of Analogue Climate Records Used to Develop the Daily Climate Input for the 
Upper Bound Glacial-Transition Climate Scenario 
Glacial-Transition 
Upper Bound #1 
(GU1) 
Glacial-Transition 
Upper Bound #2 
(GU2) 
Glacial-Transition 
Upper Bound #2 
(GU3) 
Source filename Rosalia.dat Spokane.dat Stjohn.dat 
Approximate Station Location Rosalia, WA Spokane, WA St John, WA 
NCDC Station Code WA 7180 WA 7938 WA 7267 
Elevation (m) 731 718 593 
Latitude (deg, min, sec) 47, 14, 00 47, 38, 00 47, 06, 00 
Longitude (deg, min, sec) 117, 22, 00 117, 32, 00 117, 35, 00 
Beginning of record June 1948 August 1889 August 1963 
Ending of record December 1997 December 1997 December 1997 
Number of complete years of record 43 108 33 
Mean annual precipitation (mm) 459.7 410.2 433.3 
Mean January - March precipitation (mm) 138.7 125.5 125.2 
Mean April - June precipitation (mm) 109.7 94.0 104.6 
Mean July - September precipitation (mm) 56.9 51.3 56.1 
Mean October - December precipitation (mm) 172.7 160.0 165.4 
Maximum daily precipitation (mm) 36.8 42.2 41.1 
Mean annual snow fall (mm) 61.8 107.0 65.5 
Mean October - March snow fall (mm) 60.9 105.7 59.8 
Mean April - September snow fall (mm) 0.5 1.4 0.8 
Maximum daily snow fall (mm) 27.9 32.3 30.2 
Mean daily air temperature (Celsius) 8.4 8.9 9.1 
Mean October - March daily air temperature 
(Celsius) 2.0 1.9 2.9 
Mean April - September daily air temperature 
(Celsius) 14.5 15.8 15.1 
Source: DTN: GS000100001221.001 [DIRS 146816]. 
NCDC=National Climatic Data Center 
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MDL-NBS-HS-000023 REV 00 6-66 November 2004 
6.10 DEVELOPMENT OF INPUTS FOR UNCERTAINTY ANALYSIS 
The purpose of the uncertainty analysis described in Analysis of Infiltration Uncertainty 
(BSC 2003 [DIRS 165991]), is to provide an estimate of the uncertainty distributions in 
infiltration rates over the footprint of the repository, which can be used to provide input for 
calculations carried out in the TSPA. The uncertainty measure is provided by a distribution 
function resulting from a set of 100 realizations (or vectors); each of which provides a unique 
representative infiltration rate. This representative rate is obtained by calculating the spatial 
average for the corresponding infiltration rate map, averaged over an area approximating the 
footprint of the repository. 
For the uncertainty analysis (BSC 2003 [DIRS 165991]), subwatersheds were identified that 
would be representative of the loaded repository area within the infiltration model domain. 
Using the procedure described in Section 6.5.3 of this model report, a total of 17 subwatersheds 
(using the WATSHD20 V1.0 software routine) were extracted from the geospatial parameter 
base grid for the future climate uncertainty analysis. The 17 subwatersheds were needed for 
representing the 1999 repository design footprint, however only 11 of these were used, as 
described in the uncertainty analysis, to represent the 2003 repository design footprint 
(BSC 2003 [DIRS 165991]). The additional subwatersheds used for the future climate analysis 
were generated based on a need to increase the run-time efficiency of the sampling algorithm by 
using smaller modeling domains with fewer grid cells. The total area (17,678 grid cells) 
contained within the 11 subwatersheds (Output DTN: GS000308311221.004) used for the future 
climate uncertainty analysis is approximately seven percent of the total net infiltration 
domain (253,597 grid cells) documented in this model report. A listing of the 11 separate 
subwatersheds generated specifically for the net infiltration uncertainty analysis is provided in 
Analysis of Infiltration Uncertainty (BSC 2003 [DIRS 165991], Table 4-3). 
6.11 RESULTS OF NET-INFILTRATION ESTIMATES 
Net infiltration modeling results for present-day, monsoon and glacial-transition climate 
scenarios can be located in data packages listed in Section 9.4. 
6.11.1 Present-Day Climate 
Table 6-7 lists the simulation results for the three model simulations (YM1-4ex, 4JA1-4ex, 
A121-4ex) used to develop net-infiltration estimates for the present-day climate scenarios. Also 
listed is the simulation result for the 10-year period (1980-1990) within the 4JA1-4ex stochastic 
simulation that was used to develop the lower bound present-day climate scenario. The results 
include an average net-infiltration rate of 5.1 mm/year over the area of the modeling domain for 
the 1980-95 calibration period, with a maximum rate of 1,486 mm/year obtained for a stream 
channel in the northern part of the Yucca Wash watershed. The 100-year 4JA simulation 
provided an average net-infiltration rate of 2.2 mm/year over the model domain, and a maximum 
rate of 574.4 mm/year. The wetter A121-4ex 100-year simulation provided an average 
net-infiltration rate of 14.0 mm/year, with a maximum rate of 4,354 mm/year for a stream 
channel location in Yucca Wash. The results indicate a good correlation between the maximum 
infiltrated surface-water run-on rates and the maximum net-infiltration rates, indicating the 
importance of surface-water flow in causing relatively high but localized net-infiltration rates. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-67 November 2004 
Table 6-7. Summary of 1999 INFIL Simulation Results Used to Develop Spatially Distributed Netinfiltration 
Estimates for Present-Day Climate Scenarios 
1999 INFIL Simulation Results for the 123.7-km2 Area of the Net 
Infiltration Model Domain 
INFIL simulation ID used for developing 
the present-day climate scenario YM1-4ex 4JA1-4ex 4JA1-4ex A121-4ex 
Daily climate input filename Mod3-ppt.dat 4JA.s01 4JA.s01 Area12.s01 
Simulation period (year number) 1980  1995 0 - 100 80 - 90 0 - 100 
Simulation time (years) 16 100 10 100 
Mean 189.3 187.7 182.8 342.8 
Maximum 282.9 280.6 273.3 512.4 
Average annual 
precipitation 
(mm/year) Minimum 148.0 146.8 143.0 268.1 
Mean 182.7 185.5 181.8 326.8 
Maximum 571.9 652.3 689.1 788.8 
Average annual 
evapotranspiration 
(mm/year) Minimum 61.9 51.1 50.6 83.4 
Mean 6.0 2.7 1.6 15.1 
Maximum 1,514.4 669.6 599.7 4,343.8 
Average annual 
infiltrated surface 
water run-on 
(mm/year) Minimum 0.0 0.0 0.0 0.0 
Average annual outflow (mm/year) 0.3 0.1 0.0 1.5 
Mean 5.1 2.2 1.3 14.0 
Maximum 1,486.2 574.4 252.0 4,354.3 Average annual net 
infiltration (mm/year) 
Minimum 0.0 0.0 0.0 0.0 
Output DTN: GS000308311221.005. 
Estimation results for the lower bound, mean, and upper bound present-day climate scenarios 
obtained using the simulations presented in Table 6-7 and the postprocessing methods discussed 
in Section 6 are tabulated for the areas of the 1999 net-infiltration model (Table 6-8), 
the 1999 UZ flow model (Table 6-9), and the 1999 repository footprint (Table 6-10). For the 
net-infiltration model domain, results for the mean present-day climate scenario include an 
average precipitation rate of 188.5 mm/year, an average outflow rate of 0.2 mm/year, and an 
average net-infiltration rate of 3.6 mm/year. In comparison, net infiltration is estimated 
to be 1.2 mm/year for the lower bound present-day climate and 8.8 mm/year for the upper bound 
present-day climate. Note that the average annual precipitation is different between 
Tables 6-7 and 6-3. This is because INFIL adjusts precipitation amounts to account for elevation 
at each grid cell. 
Table 6-8. Estimation Results for Present-Day Climate Scenarios Over the 123.7- km2 Area of the 1999 
Infiltration Model Domain 
Estimation Results for Present-Day Climate Scenarios for 
Total Area of 1999 Infiltration Model Domain 
Present-day climate scenario Lower bound Mean Upper bound 
Filename for spatial distribution results Modernl.dat Modernm.dat Modernu.dat 
Mean 185.8 188.5 265.6 
Maximum 282.2 281.8 397.1 Average annual 
precipitation (mm/year) 
Minimum 148.0 147.4 207.8 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-68 November 2004 
Table 6-8. Estimation Results for Present-Day Climate Scenarios Over the 123.7- km2 Area of the 
1999 Infiltration Model Domain (Continued) 
Estimation Results for Present-Day Climate Scenarios for 
Total Area of 1999 Infiltration Model Domain 
Present-day climate scenario Lower bound Mean Upper bound 
Filename for spatial distribution results Modernl.dat Modernm.dat Modernu.dat 
Mean 184.8 184.1 255.5 
Maximum 571.9 612.1 700.5 
Average annual 
evapotranspiration 
(mm/year) Minimum 54.7 56.5 71.5 
Mean 2.1 4.4 9.7 
Maximum 474.2 994.1 2,669.0 
Average annual infiltrated 
surface water run-on 
(mm/year) Minimum 0.0 0.0 0.0 
Average annual outflow (mm/year) 0.2 0.2 0.9 
Mean 1.2 3.6 8.8 
Maximum 252.0 958.9 2,656.6 Average annual net 
infiltration (mm/year) 
Minimum 0.0 0.0 0.0 
Output DTN: GS000308311221.005. 
NOTE: The maximum and minimum precipitation values for the lower bound present-day climate are higher than 
those for the mean present-day climate are. This is a result of the algorithm used in MAPADD20 V1.0 to 
sample these values. When net infiltration is zero for all datasets sampled for a given grid cell, only one 
precipitation dataset is sampled. Therefore, this algorithm can result in anomalous water balance 
results, with the exception of net infiltration, when net infiltration is zero. 
For the area of the 1999 UZ flow model, results for the mean present-day climate scenario 
include an average precipitation rate of 190.6 mm/year, an average outflow 
rate of -0.2 mm/year, and an average net-infiltration rate of 4.6 mm/year (Table 6-9). The 
negative outflow rate indicates that more surface water flows into the 1999 UZ flow model area 
than flows out (primarily due to inflow from Yucca Wash). For the lower bound present-day 
climate, net infiltration is estimated to be 1.3 mm/year for the 1999 UZ flow model area; for the 
upper bound present-day climate, net infiltration is estimated to be 11.1 mm/year. 
For the area of the repository site, results for the mean present-day climate scenario include an 
average precipitation rate of 196.9 mm/year, an average outflow rate of 1.4 mm/year, and an 
average net-infiltration rate of 4.7 mm/year (Table 6-10). For the lower bound 
present-day climate, net infiltration is estimated to be 0.4 mm/year and outflow is estimated 
to be 0.3 mm/year. The negative outflow occurs because surface-water inflow from Drill Hole 
Wash exceeds outflow. For the upper bound present-day climate, net infiltration is estimated 
to be 11.6 mm/year over the area of the repository. 
The spatial distribution of estimated precipitation for the mean present-day climate scenario 
indicates minimum estimates of 140160 mm/year occurring along the southern and southeastern 
parts of the modeling domain, with maximum estimates of more than 260 mm/year occurring for 
the summit areas along the northern perimeter of the modeling domain (Figure 6-22).
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-69 November 2004 
Table 6-9. Estimation Results for Present-Day Climate Scenarios Over the 38.7- km2 Area of the 1999 
UZ Flow Model Domain 
Estimation Results for Present-Day Climate Scenarios for 
Area of 1999 UZ Flow Model Domain 
Present-day climate scenario Lower bound Mean Upper bound 
Filename for spatial distribution results Modernl.dat Modernm.dat Modernu.dat 
Mean 186.8 190.6 268.6 
Maximum 246.3 246.5 347.4 Average annual 
precipitation (mm/year) 
Minimum 162.7 167.1 235.5 
Mean 186.2 185.3 257.1 
Maximum 367.9 348.2 485.6 
Average annual 
evapotranspiration 
(mm/year) Minimum 62.2 59.7 77.2 
Mean 1.9 4.1 10.1 
Maximum 194.9 277.0 802.9 
Average annual infiltrated 
surface water run-on 
(mm/year) Minimum 0.0 0.0 0.0 
Average annual outflow (mm/year) -0.7 -0.2 -0.3 
Mean 1.3 4.6 11.1 
Maximum 218.8 263.6 784.9 Average annual net 
infiltration (mm/year) 
Minimum 0.0 0.0 0.0 
Output DTN: GS000308311221.005. 
NOTE: Estimates of net infiltration for the UZ flow model area differ slightly from those reported in BSC (2004 
[DIRS 169861], Table 6.1-2) because the 1999 UZ flow model boundary for site recommendation is 
used in this report while the 2003 UZ flow model boundary for license application is used in BSC (2004 
[DIRS 169861]). 
Table 6-10. Estimation Results for Present-Day Climate Scenarios Over the 4.7- km2 Area of the 1999 
Repository Footprint 
Estimation Results for Present-Day Climate Scenarios for 
Area of Repository 
Present-day climate scenario Lower bound Mean Upper bound 
Filename for spatial distribution results Modernl.dat Modernm.dat Modernu.dat 
Mean 191.6 196.9 277.5 
Maximum 204.1 209.9 295.8 Average annual 
precipitation (mm/year) 
Minimum 178.2 183.4 258.5 
Mean 191.7 189.9 260.4 
Maximum 252.9 273.3 423.0 
Average annual 
evapotranspiration 
(mm/year) Minimum 155.0 154.7 203.0 
Mean 1.0 3.4 8.1 
Maximum 59.8 161.1 454.8 
Average annual infiltrated 
surface water run-on 
(mm/year) Minimum 0.0 0.0 0.0 
Average annual outflow (mm/year) -0.3 1.4 4.9 
Mean 0.4 4.7 11.6 
Maximum 26.6 120.1 387.4 Average annual net 
infiltration (mm/year) 
Minimum 0.0 0.0 0.0 
Output DTN: GS000308311221.005. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-70 November 2004 
Source: DTN: GS000208311221.001. 
NOTE: The 1999 UZ flow model domain and the 1999 repository footprint are site recommendation boundaries 
(solid lines), not license application boundaries (dashed lines). 
Figure 6-22. Estimated Precipitation (mm/year) for the Mean Present-Day Climate Scenario 
Estimated evapotranspiration rates in general reflect the distribution of precipitation but also 
reflect local terrain and surface-water flow effects (Figure 6-23). Minimum evapotranspiration 
rates of 140 to 160 mm/year occur along the southern and southeastern sections of the model 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-71 November 2004 
domain, and maximum rates of 220 to 240 mm/year occur for higher elevations receiving greater 
precipitation amounts. Minimum evapotranspiration rates of less than 100 mm/year occur for 
steep north-facing side slopes and areas with minimal soil cover, the west-facing slope of 
Solitario Canyon, and the rugged terrain in the northern part of Yucca Wash. Maximum 
evapotranspiration rates of 240 mm/year and higher, on the other hand, are indicative of 
locations subject to a high volume or frequency of infiltrated surface-water run-on, particularly 
when immediately downslope from areas receiving higher precipitation as well as rugged terrain 
conducive to runoff generation, such as the northern part of Yucca Wash. 
Infiltrated surface-water run-on indicates the contribution of surface-water flow to potential net 
infiltration and evapotranspiration (Figure 6-24). Maximum infiltrated surface-water run-on 
rates of more than 100 mm/year occur mostly along the Yucca Wash channel but also at more 
isolated locations in the upper sections of drainages such as Drill Hole Wash, Solitario Canyon, 
Pagany Wash, and Abandoned Wash. In general, the higher infiltrated run-on rates occur in the 
upstream and headwater sections of drainages, possibly indicating a greater contribution from 
smaller but higher frequency runoff events for the mean present-day climate scenario. 
The spatial distribution of estimated net-infiltration rates for the mean present-day climate 
indicates most net infiltration occurs in upland areas with thin soils (Figure 6-25). The spatial 
distribution also indicates a strong control of bedrock hydraulic conductivity on spatial 
distributions and magnitudes, in addition to the effects of thin soils and surface-water run-on. 
Relatively high net-infiltration rates of 100 mm/year and higher occur throughout the steep north, 
north-east facing slope of the Prow due to a combination of higher precipitation rates, reduced 
PET, frequent surface-water run-on due to very thin soils, and high bedrock hydraulic 
conductivity associated with non-welded tuffs. Areas of relatively high net-infiltration rates also 
include the upper channel locations of Solitario Canyon, Drill Hole Wash, Pagany Wash, and 
Abandoned Wash. Variability in net infiltration caused by topographic effects on PET are 
illustrated by the higher net-infiltration rates for the north slopes of washes compared to south 
facing slopes (this is well illustrated by the west-to-east drainages along the east slope of Yucca 
Mountain and bisected by the Exploratory Studies Facility main drift). Maximum net-infiltration 
rates of more than 100 mm/year occur within the UZ flow model domain for isolated areas that 
include side-slope and channel locations with thin soils and high hydraulic conductivity bedrock. 
The contribution to the total net-infiltration volume over the area of the UZ flow model is 
dominated, however, by the lower rates of 1 to 20 mm/year covering wider areas of side slope 
and ridge top locations because of a much greater total area of coverage. 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-72 November 2004 
Output DTN: GS000308311221.005. 
NOTE: The 1999 UZ flow model domain and the 1999 repository footprint are site recommendation boundaries 
(solid lines), not license application boundaries (dashed lines). 
Figure 6-23. Estimated Evapotranspiration (mm/year) for the Mean Present-Day Climate Scenario 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-74 November 2004 
Output DTN: GS000308311221.005. 
NOTE: The 1999 UZ flow model domain and the 1999 repository footprint are site recommendation boundaries 
(solid lines), not license application boundaries (dashed lines). 
Figure 6-25. Estimated Net Infiltration (mm/year) for the Mean Present-Day Climate Scenario 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-75 November 2004 
For the lower bound present-day climate scenario, the total area with significant net infiltration is 
greatly reduced (Figure 6-26). Within the repository area, most areas, including the crest, have 
no net infiltration. Areas with net-infiltration rates greater than 5 mm/year are isolated to 
north-facing side slopes and along the west-facing slope of Solitario Canyon. For the upper 
bound present-day climate scenario, net infiltration along the crest of Yucca Mountain is more 
than 20 mm/year, and the relative contribution of net infiltration along channels to the total 
net-infiltration volume is greatly increased compared to the mean present-day climate estimates 
(Figure 6-27). The maximum net-infiltration rate of almost 2,700 mm/year occurs for an active 
channel location in the northern part of Yucca Wash. Within the repository area, maximum 
net-infiltration estimates of between 100 and 500 mm/year occur in Drill Hole Wash and along 
the west-facing slope of Solitario Canyon. 
In general, the maximum net-infiltration estimates for the three climate scenarios are more than 
two orders of magnitude higher than the spatially averaged net-infiltration rates for the three 
areas analyzed, indicating a high degree of spatial variability for the estimation results. In all 
cases, maximum net-infiltration rates occur at locations affected by surface-water run-on, and 
there is a strong correlation between the maximum infiltrated run-on rates with maximum 
net-infiltration rates for all areas and for all climate scenarios. However, because the areas with 
relatively high net-infiltration rates (greater than 100 mm/year) are small, most of the total 
net-infiltration volume occurs from upland areas with net-infiltration rates less than 20 mm/year. 
6.11.2 Monsoon Climate 
The lower bound monsoon climate scenario is defined using the mean present-day day climate 
result (the lower bound monsoon climate result is equal to the present-day day climate result). 
The simulation results used to develop the mean present-day climate scenario are equivalent 
to the lower bound monsoon climate scenario. Net-infiltration estimates for the mean 
present-day climate scenario were calculated using the net-infiltration simulation results for 
the 198095 model calibration period and results obtained using a 100-year stochastic simulation 
of daily precipitation modeled with the NTS station 4JA precipitation record. The simulation 
results for the two analogue upper bound monsoon climate simulations (Nogales, Arizona and 
Hobbs, New Mexico) used to develop net-infiltration estimates for the mean and upper bound 
monsoon climate scenarios are provided in Table 6-11. The results indicate an average netinfiltration 
rate of 15.1 mm/year for the Nogales analogue climate record and 12.1 mm/year for 
the Hobbs analogue climate record, with maximum net-infiltration rates of 2,900 mm/year 
and 2,330 mm/year, respectively. As in the case of the present-day climate simulations, the 
maximum net-infiltration rates occur in the active channel of Yucca Wash. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-76 November 2004 
Output DTN: GS000308311221.005. 
NOTE: The 1999 UZ flow model domain and the 1999 repository footprint are site recommendation boundaries 
(solid lines), not license application boundaries (dashed lines). 
Figure 6-26. Estimated Net infiltration (mm/year) for the Lower Bound Present-Day Climate Scenario 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-77 November 2004 
Output DTN: GS000308311221.005. 
NOTE: The 1999 UZ flow model domain and the 1999 repository footprint are site recommendation boundaries 
(solid lines), not license application boundaries (dashed lines). 
Figure 6-27. Estimated Net Infiltration (mm/year) for the Upper Bound Present-Day Climate Scenario 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-78 November 2004 
Table 6-11. Summary of 1999 INFIL Simulation Results Used to Develop Spatially Distributed Netinfiltration 
Estimates for the Upper Bound Monsoon Climate Scenarios 
1999 INFIL Simulation Results for the 123.7-km2 Area 
of the Net Infiltration Model Domain 
INFIL simulation ID used for developing the upper 
bound monsoon climate scenario MU1-5oh MU2-5oh 
Daily climate input filename Nogales.inp Hobbs.inp 
Simulation period (begin date  end date) 1/1/49 - 12/31/82 1/1/48 - 12/31/97 
Mean annual 16.6 17.5 
Maximum daily 33.2 34.0 Air temperature (Celsius) 
Minimum daily -8.5 -13.7 
Mean 410.5 414.4 
Maximum 511.2 516.0 Average annual precipitation 
(mm/year) 
Minimum 366.2 369.7 
Mean 1.3 12.2 
Maximum 33.7 44.9 Average annual snow fall 
(mm/year) 
Minimum 0.0 2.4 
Mean 386.3 386.3 
Maximum 814.7 818.8 Average annual 
evapotranspiration (mm/year) 
Minimum 107.9 90.8 
Mean 19.9 16.3 
Maximum 2,884.9 2,306.4 Average annual infiltrated 
surface water run-on (mm/year) 
Minimum 0.0 0.0 
Average annual outflow (mm/year) 5.8 14.3 
Mean 15.1 12.1 
Maximum 2,900.6 2,330.0 Average annual net infiltration 
(mm/year) 
Minimum 0.0 0.0 
Output DTN: GS000308311221.005. 
Estimation results for the lower bound, mean, and upper bound monsoon climate scenarios are 
tabulated for the areas of the net-infiltration model (Table 6-12), the UZ flow model 
(Table 6-13), and the repository (Table 6-14). The results for the mean monsoon climate 
scenario, which were calculated as the arithmetic mean of the lower bound and upper bound 
monsoon climate scenarios, include an average precipitation rate of 300.5 mm/year, an average 
outflow rate of 5.1 mm/year, and an average net-infiltration rate of 8.6 mm/year over the 
net-infiltration model domain. Results for the upper bound monsoon climate scenario, which 
were calculated as the arithmetic mean of net infiltration simulations for two analogue sites 
(Nogales, AZ and Hobbs, NM) include an average precipitation rate of 412.5 mm/year, an 
average outflow rate of 10.0 mm/year, and an average net-infiltration rate of 13.6 mm/year over 
the net-infiltration model domain. 
For the UZ flow model area, results for the mean monsoon climate scenario include an average 
precipitation rate of 302.7 mm/year, an average outflow rate of 4.6 mm/year, and an average 
net-infiltration rate of 12.2 mm/year (Table 6-13). The maximum net-infiltration 
rate is 629 mm/year. For the lower bound monsoon climate scenario, average net infiltration 
is 4.6 mm/year for the UZ flow model area (the mean present-day climate result). Estimation 
results for the upper bound monsoon climate scenario include a precipitation 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-79 November 2004 
rate of 414.8 mm/year, a snowfall rate of 6.8 mm/year, an average outflow rate of 9.5 mm/year, 
and a net-infiltration rate of 19.8 mm/year. The maximum net-infiltration rate for the upper 
bound monsoon climate scenario is 1,016 mm/year for the UZ flow model area. 
Table 6-12. Estimation Results for the Monsoon Climate Scenarios Over the 123.7- km2 Area of the 1999 
Infiltration Model Domain 
Estimation Results for Monsoon Climate Scenarios for 
Total area of Infiltration Model Domain 
Monsoon climate scenario Lower bound Mean Upper bound 
Filename for spatial distribution results Monsoonl.dat Monsoonm.dat Monsoonu.dat 
Mean annual air temperature (Celsius) 17.3 17.2 17.0 
Mean 188.5 300.5 412.5 
Maximum 281.8 397.7 513.6 Average annual 
precipitation (mm/year) 
Minimum 147.4 257.7 368.0 
Mean n/a n/a 6.8 
Maximum n/a n/a 39.3 Average annual snow fall 
(mm/year) 
Minimum n/a n/a 1.2 
Mean 184.1 285.2 386.3 
Maximum 612.1 714.4 816.7 
Average annual 
evapotranspiration 
(mm/year) Minimum 56.5 77.9 99.3 
Mean 4.4 11.2 18.1 
Maximum 994.1 1,795 2,596 
Average annual infiltrated 
surface-water run-on 
(mm/year) Minimum 0.0 0.0 0.0 
Average annual outflow (mm/year) 0.2 5.1 10.0 
Mean 3.6 8.6 13.6 
Maximum 958.9 1,787 2,615 Average annual net 
infiltration (mm/year) 
Minimum 0.0 0.0 0.0 
Output DTN: GS000308311221.005. 
Table 6-13. Estimation Results for the Monsoon Climate Scenarios over the 38.7-km2 Area of the 1999 
UZ Flow Model Domain 
Estimation Results for Monsoon Climate Scenarios for 
Area of UZ Flow Model 
Monsoon climate scenario Lower bound Mean Upper bound 
Filename for spatial distribution results Monsoonl.dat Monsoonm.dat Monsoonu.dat 
Mean 190.6 302.7 414.8 
Maximum 246.5 360.9 475.4 Average annual 
precipitation (mm/year) 
Minimum 167.1 278.2 389.3 
Mean n/a n/a 6.8 
Maximum n/a n/a 18.8 Average annual snow fall 
(mm/year) 
Minimum n/a n/a 3.0 
Mean 185.3 284.0 382.8 
Maximum 348.2 509.9 684.7 
Average annual 
evapotranspiration 
(mm/year) Minimum 59.7 81.7 103.7 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-80 November 2004 
Table 6-13. Estimation Results for the Monsoon Climate Scenarios over the 38.7-km2 Area of the 1999 
UZ Flow Model Domain (Continued) 
Estimation Results for Monsoon Climate Scenarios for 
Area of UZ Flow Model 
Monsoon climate scenario Lower bound Mean Upper bound 
Filename for spatial distribution results Monsoonl.dat Monsoonm.dat Monsoonu.dat 
Mean 4.1 12.2 20.4 
Maximum 277.0 642.7 1,018 
Average annual infiltrated 
surface-water run-on 
(mm/year) Minimum 0.0 0.0 0.0 
Average annual outflow (mm/year) -0.2 4.6 9.5 
Mean 4.6 12.2 19.8 
Maximum 263.6 629.0 1,016 Average annual net 
infiltration (mm/year) 
Minimum 0.0 0.0 0.0 
Output DTN: GS000308311221.005. 
NOTE: Estimates of net infiltration for the UZ flow model area differ slightly from those reported in BSC (2004 
[DIRS 169861], Table 6.1-2) because the 1999 UZ flow model boundary for site recommendation used in 
this report while the 2003 UZ flow model boundary for license application is used in BSC (2004 
[DIRS 169861]). 
For the area of the repository site, results for the mean monsoon climate scenario include an 
average precipitation rate of 309.3 mm/year, an average outflow rate of 13.2 mm/year, and an 
average net-infiltration rate of 12.5 mm/year (Table 6-14). For the upper bound present-day 
climate scenario, precipitation is estimated to be 421.6 mm/year, outflow is estimated 
to be 25.1 mm/year, and net infiltration is estimated to be 20.3 mm/year over the area of the 
repository. 
Figure 6-28 shows the spatial distribution of net-infiltration estimates for the mean monsoon 
climate scenario. Estimated net-infiltration rates along the crest of Yucca Mountain are in the 
range of 20 to 50 mm/year. Within the repository area, maximum net-infiltration rates of 
between 100 and 500 mm/year occur in the active channel of Drill Hole Wash and for outcrop 
locations of permeable, nonwelded tuffs in the middle section of the west-facing slope of 
Solitario Canyon. Relatively high net-infiltration rates of 100 to 500 mm/year also occur at 
many steep side-slope locations in the northern part of the UZ flow model area. In contrast, net 
infiltration at upland locations with thin soils underlain by bedrock with low bulk hydraulic 
conductivity is less than 1 mm/year. 
The map of net-infiltration estimates for the upper bound monsoon climate scenario indicates a 
greater percentage of area affected by the relatively high net-infiltration rates 
of 100 to 500 mm/year, along with an increase in the moderately high net-infiltration rates along 
the crest of Yucca Mountain (Figure 6-29). In absolute terms, the increase in net infiltration for 
locations with bedrock having a high bulk hydraulic conductivity is much greater than the 
increase for locations with bedrock with a low bulk hydraulic conductivity, which remains less 
than 1 mm/year. The infiltrated run-on map indicates the importance of surface-water flow on 
net infiltration for the upper bound monsoon climate (Figure 6-30). Relatively high run-on 
infiltration rates of 100 to 500 mm/year occur throughout the active channels of Drill Hole Wash, 
Pagany Wash, Solitario Canyon, Dune Wash, and Yucca Wash. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-81 November 2004 
Table 6-14. Estimation Results for the Monsoon Climate Scenarios over the 4.7-km2 Area of the 1999 
Repository Footprint 
Estimation Results for Monsoon Climate Scenarios for 
Area of Repository 
Monsoon climate scenario Lower bound Mean Upper bound 
Filename for spatial distribution results Monsoonl.dat Monsoonm.dat Monsoonu.dat 
Mean 196.9 309.3 421.6 
Maximum 209.9 322.8 435.7 Average annual 
precipitation (mm/year) 
Minimum 183.4 295.2 407.0 
Mean n/a n/a 7.7 
Maximum n/a n/a 10.9 Average annual snow fall 
(mm/year) 
Minimum n/a n/a 5.3 
Mean 189.9 281.7 373.5 
Maximum 273.3 466.4 666.0 
Average annual 
evapotranspiration 
(mm/year) Minimum 154.7 217.8 277.1 
Mean 3.4 9.1 14.8 
Maximum 161.1 348.6 536.1 
Average annual infiltrated 
surface-water run-on 
(mm/year) Minimum 0.0 0.0 0.0 
Average annual outflow (mm/year) 1.4 13.2 25.1 
Mean 4.7 12.5 20.3 
Maximum 120.1 267.0 413.8 Average annual net 
infiltration (mm/year) 
Minimum 0.0 0.0 0.0 
Output DTN: GS000308311221.005. 
6.11.3 Glacial-Transition Climate 
Table 6-15 lists the simulation results for the two analogue lower bound glacial-transition 
climate simulations (Beowawe, Nevada and Delta, Utah) used to develop net-infiltration 
estimates for the lower bound and mean glacial-transition climate scenarios. The results for 
the 32-year Beowawe simulation include a mean air temperature of 9.6C, a precipitation 
rate of 208.4 mm/year, and a snowfall depth (water equivalent) of 30.7 mm/year. Net-infiltration 
estimation results for the Beowawe simulation include an average rate of 2.9 mm/year. The 
results for the 45-year Delta simulation include a mean air temperature of 10.8C, a precipitation 
rate of 193.7 mm/year, and a snowfall depth (water equivalent) of 27.6 mm/year. Net-infiltration 
estimation results for the Delta simulation include an average rate of 1.4 mm/year. 
Table 6-16 lists the simulation results for the three analogue upper bound glacial-transition 
climate simulations (Rosalia, Washington; Spokane, Washington; and St. John, Washington) 
used to develop net-infiltration estimates for the upper and mean glacial-transition 
climate scenarios. The results for the 44-year Rosalia simulation include a mean air temperature 
of 9.0C, a precipitation rate of 454.9 mm/year, and a snowfall depth (water equivalent) 
of 67.5 mm/year. The results for the 50-year Spokane simulation include a mean air temperature 
of 9.2C, a precipitation rate of 406.2 mm/year, and a snowfall depth (water equivalent) 
of 74.3 mm/year. For the 31-year St. John simulation, results include 9.9C for mean air 
temperature, 432.1 mm/year for precipitation, and 44 mm/year for snowfall. Average 
net-infiltration rates for the three simulations are 29.7 mm/year for Rosalia, 21.2 mm/year for 
Spokane, and 23.0 mm/year for St. John. Maximum average annual net-infiltration rates 
are 9,126.2 mm/year for Rosalia, 7,033.7 mm/year for Spokane, and 6,308.1 mm/year for 
St. John. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-82 November 2004 
Output DTN: GS000308311221.005. 
NOTE: The 1999 UZ flow model domain and the 1999 repository footprint are site recommendation boundaries 
(solid lines), not license application boundaries (dashed lines). 
Figure 6-28. Estimated Net Infiltration (mm/year) for the Mean Monsoon Climate Scenario 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-83 November 2004 
Output DTN: GS000308311221.005. 
NOTE: The 1999 UZ flow model domain and the 1999 repository footprint are site recommendation boundaries 
(solid lines), not license application boundaries (dashed lines). 
Figure 6-29. Estimated Net Infiltration (mm/year) for the Upper Bound Monsoon Climate Scenario 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-84 November 2004 
Output DTN: GS000308311221.005. 
NOTE: The 1999 UZ flow model domain and the 1999 repository footprint are site recommendation boundaries 
(solid lines), not license application boundaries (dashed lines). 
Figure 6-30. Infiltrated Surface-water Run-on Depth (mm/year) for the Upper Bound Monsoon Climate 
Scenario 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-85 November 2004 
Table 6-15. 1999 INFIL Simulation Results Used to Develop Spatially Distributed Net-infiltration 
Estimates for the Lower Bound Glacial-Transition Climate Scenario 
INFIL Simulation Results for the 123.7-km2 Area of the 
1999 Net Infiltration Model Domain 
INFIL simulation ID used for developing the lower 
bound glacial-transition climate scenario GL1-5od GL2-5od 
Daily climate input filename Beowawe.inp Delta.inp 
Simulation period (begin date  end date) 01/1/51 - 12/31/97 01/1/48 - 12/31/97 
Mean annual 9.6 10.8 
Maximum daily 31.0 31.5 Air temperature (Celsius) 
Minimum daily -31.2 -24.9 
Mean 208.4 193.7 
Maximum 259.5 241.1 Average annual precipitation 
(mm/year) 
Minimum 185.9 172.8 
Mean 30.7 27.6 
Maximum 118.8 100.0 Average annual snow fall 
(mm/year) 
Minimum 8.5 9.9 
Mean 201.1 188.1 
Maximum 542.6 508.9 Average annual 
evapotranspiration (mm/year) 
Minimum 68.1 79.0 
Mean 2.9 1.4 
Maximum 735.4 351.2 
Average annual infiltrated 
surface-water run-on 
(mm/year) Minimum 0.0 0.0 
Average annual mean outflow (mm/year) 0.0 0.0 
Mean 2.9 1.4 
Maximum 559.7 228.0 Average annual net 
infiltration (mm/year) 
Minimum 0.0 0.0 
Output DTN: GS000308311221.005. 
Table 6-16. 1999 INFIL Simulation Results Used to Develop Spatially Distributed Net-infiltration 
Estimates for the Upper Bound Glacial-Transition Climate Scenario 
INFIL Simulation Results for the 123.7-km2 Area of the 1999 
Net Infiltration Model Domain 
INFIL simulation ID used for developing the 
upper bound glacial-transition climate scenario GU1-5os GU2-5os GU3-5os 
Daily climate input filename Rosalia.inp Spokane.inp Stjohn.inp 
Simulation period (begin date  end date) 01/1/51-12/31/97 01/1/48-12/31/97 01/1/64-12/31/97 
Mean annual 9.0 9.2 9.9 
Maximum 
daily 33.5 31.8 30.1 Air temperature (Celsius) 
Minimum daily -25.4 -26.2 -26.0 
Mean 454.9 406.2 432.1 
Maximum 566.4 505.8 538.0 Average annual 
precipitation (mm/year) 
Minimum 405.8 362.4 385.5 
Mean 67.5 74.3 44.0 
Maximum 288.0 265.9 209.5 Average annual snow fall 
(mm/year) 
Minimum 19.1 25.6 13.7 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-86 November 2004 
Table 6-16. 1999 INFIL Simulation Results Used to Develop Spatially Distributed Net-infiltration 
Estimates for the Upper Bound Glacial-Transition Climate Scenario (Continued) 
INFIL Simulation Results for the 123.7-km2 Area of the 1999 
Net Infiltration Model Domain 
INFIL simulation ID used for developing the 
upper bound glacial-transition climate scenario GU1-5os GU2-5os GU3-5os 
Daily climate input filename Rosalia.inp Spokane.inp Stjohn.inp 
Mean 411.5 374.4 399.0 
Maximum 773.8 770.4 751.0 
Average annual 
evapotranspiration 
(mm/year) Minimum 122.2 113.8 112.9 
Mean 31.4 24.2 25.3 
Maximum 9,092.6 7,044.8 6,308.7 
Average annual infiltrated 
surface-water run-on 
(mm/year) Minimum 0.0 0.0 0.0 
Average annual mean outflow (mm/year) 3.7 1.8 3.2 
Mean 29.7 21.2 23.0 
Maximum 9,126.2 7,033.7 6,308.1 Average annual net 
infiltration (mm/year) 
Minimum 0.0 0.0 0.0 
Output DTN: GS000308311221.005. 
Estimation results for the lower bound, mean, and upper bound glacial-transition climate 
scenarios obtained using the simulations presented in Tables 6-15 and 6-16 are tabulated for the 
areas of the net-infiltration model (Table 6-17), the UZ flow model (Table 6-18), and the 
repository (Table 6-19). The results for the mean glacial-transition climate scenario, which were 
calculated as the arithmetic mean of the results for the lower and upper bound glacial-transition 
scenarios, include an average precipitation rate of 316.1 mm/year, an average snowfall 
depth of 45.5 mm/year, an average infiltrated surface-water run-on depth of 14.6 mm/year, an 
average outflow rate of 1.5 mm/year, and an average net-infiltration rate of 13.4 mm/year for the 
net-infiltration model domain. In comparison, net infiltration is estimated to be 2.2 mm/year for 
the lower bound glacial-transition scenario and 24.6 mm/year for the upper bound 
glacial-transition scenario. 
Table 6-17. Estimation Results for the Glacial-Transition Climate Scenarios over the 123.7-km2 Area of 
the 1999 Infiltration Model Domain 
Estimation Results for Glacial-Transition Climate Scenarios 
for Total Area of the 1999 Infiltration Model Domain 
Glacial-transition climate scenario Lower bound Mean Upper bound 
Filename for spatial distribution results Glaciall.dat Glacialm.dat Glacialu.dat 
Mean annual air temperature (Celsius) 10.2 9.8 9.4 
Mean 201.0 316.1 431.1 
Maximum 250.3 393.5 536.8 Average annual 
precipitation (mm/year) 
Minimum 179.4 282.0 384.6 
Mean 29.1 45.5 61.9 
Maximum 109.4 181.9 254.5 Average annual snow fall 
(mm/year) 
Minimum 9.2 14.3 19.5 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-87 November 2004 
Table 6-17. Estimation Results for the Glacial-Transition Climate Scenarios over the 123.7-km2 Area of 
the 1999 Infiltration Model Domain (Continued) 
Estimation Results for Glacial-Transition Climate Scenarios 
for Total Area of the 1999 Infiltration Model Domain 
Glacial-transition climate scenario Lower bound Mean Upper bound 
Filename for spatial distribution results Glaciall.dat Glacialm.dat Glacialu.dat 
Mean 194.6 294.8 395.0 
Maximum 525.7 600.7 751.2 
Average annual 
evapotranspiration 
(mm/year) Minimum 73.6 94.9 116.3 
Mean 2.2 14.6 27.0 
Maximum 524.3 3,913.2 7,482.0 
Average annual infiltrated 
surface-water run-on 
(mm/year) Minimum 0.0 0.0 0.0 
Average annual outflow (mm/year) 0.0 1.5 2.9 
Mean 2.2 13.4 24.6 
Maximum 370.3 3,902.5 7,489.3 Average annual net 
infiltration (mm/year) 
Minimum 0.0 0.0 0.0 
Output DTN: GS000308311221.005. 
For the area of the UZ flow model, results for the mean glacial-transition climate scenario 
include an average precipitation rate of 317.8 mm/year, an average annual infiltrated 
surface-water run-on depth of 15.6 mm/year, an average outflow rate of -0.2 mm/year, and an 
average net-infiltration rate of 17.8 mm/year (Table 6-18). For the lower bound 
glacial-transition scenario, net infiltration is estimated to be 2.5 mm/year for the UZ flow model 
area, while for the upper bound glacial-transition scenario, net infiltration is estimated 
to be 33.0 mm/year. For the area of the repository site (Table 6-19), results for the mean 
glacial-transition climate scenario include an average precipitation rate of 323.1 mm/year, an 
average annual infiltrated surface-water run-on depth of 12.0 mm/year, an average outflow rate 
of 8.0 mm/year, and an average net-infiltration rate of 19.8 mm/year. For the lower bound 
glacial-transition scenario, net infiltration is estimated to be 2.2 mm/year and outflow is 
estimated to be 0.3 mm/year. For the upper bound glacial-transition scenario, net infiltration is 
estimated to be 37.3 mm/year over the UZ flow model area and outflow is estimated 
to be 15.6 mm/year. 
The spatial distribution of estimated precipitation for the mean glacial-transition climate scenario 
indicates the reduced precipitation-elevation correlation specified in the model (relative 
to the present-day climate correlation), with a minimum precipitation rate of 
approximately 280 mm/year and a maximum rate of almost 400 mm/year (Figure 6-31). The 
spatial distribution of snowfall depth indicates a stronger correlation with elevation because of 
the combined effects of the precipitation-elevation and the air temperature-elevation correlations 
(Figure 6-32). The minimum water-equivalent snowfall depth is less than 20 mm/year in the 
southern part of the modeling domain, and the maximum snowfall depth is more 
than 140 mm/year. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-88 November 2004 
Table 6-18. Estimation Results for the Glacial-Transition Climate Scenarios over the 38.7-km2 Area of the 
1999 UZ Flow Model Domain 
Estimation Results for Glacial-Transition Climate 
Scenarios for Area of the 1999 UZ Flow Model Domain 
Glacial-transition climate scenario Lower bound Mean Upper bound 
Filename for spatial distribution results Glaciall.dat Glacialm.dat Glacialu.dat 
Mean 202.2 317.8 433.5 
Maximum 231.7 364.3 496.8 Average annual 
precipitation (mm/year) 
Minimum 189.8 298.3 406.9 
Mean 29.1 45.1 61.1 
Maximum 75.1 122.0 168.9 Average annual snow fall 
(mm/year) 
Minimum 16.3 25.3 34.2 
Mean 195.2 293.5 391.8 
Maximum 343.3 502.3 733.9 
Average annual 
evapotranspiration 
(mm/year) Minimum 76.9 99.4 121.9 
Mean 1.7 15.6 29.6 
Maximum 193.1 1,301.1 2,586.2 
Average annual infiltrated 
surface-water run-on 
(mm/year) Minimum 0.0 0.0 0.0 
Average annual outflow (mm/year) -0.1 -0.2 -0.3 
Mean 2.5 17.8 33.0 
Maximum 219.2 1,282.9 2,555.0 Average annual net 
infiltration (mm/year) 
Minimum 0.0 0.0 0.0 
Output DTN: GS000308311221.005. 
NOTE: Estimates of net infiltration for the UZ flow model area differ slightly from those reported in BSC (2004 
[DIRS 169861], Table 6.1-2) because the 1999 UZ flow model boundary for site recommendation is used 
in this report while the 2003 UZ flow model boundary for license application is used in BSC (2004 
[DIRS 169861]). 
Table 6-19. Estimation Results for the Glacial-Transition Climate Scenarios for the 4.7-km2 Area of the 
1999 Repository Footprint 
Estimation Results for Glacial-Transition Climate 
Scenarios for Area of Repository 
Glacial-transition climate scenario Lower bound Mean Upper bound 
Filename for spatial distribution results Glaciall.dat Glacialm.dat Glacialu.dat 
Mean 205.5 323.1 440.6 
Maximum 212.4 333.8 455.3 Average annual 
precipitation (mm/year) 
Minimum 198.4 311.8 425.3 
Mean 32.5 50.3 68.1 
Maximum 42.0 65.2 88.3 Average annual snow fall 
(mm/year) 
Minimum 24.9 37.8 50.7 
Mean 197.5 287.8 378.1 
Maximum 279.4 477.8 688.6 
Average annual 
evapotranspiration 
(mm/year) Minimum 171.0 219.3 265.3 
Mean 1.4 12.0 22.5 
Maximum 100.5 676.6 1,334.8 
Average annual infiltrated 
surface-water run-on 
(mm/year) Minimum 0.0 0.0 0.0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-89 November 2004 
Table 6-19. Estimation Results for the Glacial-Transition Climate Scenarios for the 4.7-km2 Area of the 
1999 Repository Footprint (Continued) 
EstimationResults for Glacial-Transition Climate Scenarios 
for Area of Repository 
Glacial-transition climate scenario Lower bound Mean Upper bound 
Filename for spatial distribution results Glaciall.dat Glacialm.dat Glacialu.dat 
Average annual outflow (mm/year) 0.3 8.0 15.6 
Mean 2.2 19.8 37.3 
Maximum 116.3 591.0 1,181.4 Average annual net 
infiltration (mm/year) 
Minimum 0.0 0.0 0.0 
Output DTN: GS000308311221.005. 
The spatial distribution of estimated evapotranspiration for the mean glacial-transition scenario 
indicates, in the context of the model, the importance of precipitation, root-zone water-storage 
capacity, and infiltrated surface-water run-on in affecting the availability of water for 
evapotranspiration. Minimum evapotranspiration rates are less than 100 mm/year on steep side 
slopes with thin soil cover (Table 6-17), while maximum rates are close to 600 mm/year in active 
channel locations. 
Estimated infiltrated surface-water run-on rates exceed 100 mm/year throughout most of the 
upper channel locations, including Pagany Wash, Drill Hole Wash, Solitario Canyon, and 
sections of all washes draining the eastern slopes of Yucca Mountain (Figure 6-34). Within the 
net-infiltration model area, maximum infiltrated surface-water run-on rates of more 
than 3,000 mm/year occur along isolated sections of Yucca Wash. The net-infiltration map for 
the mean glacial-transition climate scenario indicates rates of 20 to 50 mm/year along the crest of 
Yucca Mountain, with isolated locations exceeding 50 mm/year along the crest (Figure 6-35). 
Within the repository area, a maximum net-infiltration rate exceeding 500 mm/year occurs in the 
channel of Drill Hole Wash. 
In comparison to net-infiltration estimates for the mean glacial-transition climate scenario, 
net-infiltration rates for the lower bound glacial-transition climate scenario are greatly reduced 
due to a more uniform seasonal distribution of precipitation characterized by a lack of severe 
storms or wetter than normal periods as compared to the upper bound glacial-transition climate 
scenarios. The average intensity and frequency of precipitation events for the lower bound 
glacial-transition climates is not sufficient to overcome evapotranspiration from the root zone. 
Maximum net-infiltration rates of 100 to 500 mm/year were obtained on the northeastern-facing 
slope of the Prow, along isolated sections of the west-facing slope of Solitario Canyon, and along 
isolated sections of upper Yucca Wash (Figure 6-36). Within the repository area, net infiltration 
does not occur in the channel of Drill Hole Wash and net infiltration along the crest of Yucca 
Mountain is only 1 to 5 mm/year. The map of infiltrated surface-water run-on for the lower 
bound glacial-transition climate scenario indicates significantly less infiltration along channels 
than the other climate scenarios (Figure 6-37). Within the UZ flow model area, maximum 
infiltrated surface-water run-on rates of more than 100 mm/year do not occur in channels, but 
instead, are limited to lower side slopes. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-90 November 2004 
Source: DTN: GS000208311221.002. 
NOTE: The 1999 UZ flow model domain and the 1999 repository footprint are site recommendation boundaries 
(solid lines), not license application boundaries (dashed lines). 
Figure 6-31. Precipitation (mm/year) for the Mean Glacial-Transition Climate Scenario 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-91 November 2004 
Output DTN: GS000308311221.005. 
NOTE: The 1999 UZ flow model domain and the 1999 repository footprint are site recommendation boundaries 
(solid lines), not license application boundaries (dashed lines). 
Figure 6-32. Water-equivalent Snowfall Depth (mm/year) for the Mean Glacial-Transition Climate 
Scenario 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-92 November 2004 
Output DTN: GS000308311221.005. 
NOTE: The 1999 UZ flow model domain and the 1999 repository footprint are site recommendation boundaries 
(solid lines), not license application boundaries (dashed lines). 
Figure 6-33. Evapotranspiration (mm/year) for the Mean Glacial-Transition Climate Scenario 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-93 November 2004 
Output DTN: GS000308311221.005. 
NOTE: The 1999 UZ flow model domain and the 1999 repository footprint are site recommendation boundaries 
(solid lines), not license application boundaries (dashed lines). 
Figure 6-34. Estimated Infiltrated Surface-water Run-on Depth (mm/year) for the Mean Glacial- 
Transition Climate Scenario 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-94 November 2004 
Output DTN: GS000308311221.005. 
NOTE: The 1999 UZ flow model domain and the 1999 repository footprint are site recommendation boundaries 
(solid lines), not license application boundaries (dashed lines). 
Figure 6-35. Estimated Net Infiltration (mm/year) for the Mean Glacial-Transition Climate Scenario 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-95 November 2004 
Output DTN: GS000308311221.005. 
NOTE: The 1999 UZ flow model domain and the 1999 repository footprint are site recommendation boundaries 
(solid lines), not license application boundaries (dashed lines). 
Figure 6-36. Estimated Net Infiltration (mm/year) for the Lower Bound Glacial-Transition Climate 
Scenario 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-97 November 2004 
The map of estimated net infiltration for the upper bound glacial-transition climate scenario 
indicates relatively high net-infiltration rates of 50100 mm/year throughout the crest area of 
Yucca Mountain, and relatively high rates of 100500 mm/year for most steep sideslope 
locations in the northern part of the UZ flow model domain (Figure 6-38). Maximum rates of 
more than 1,000 mm/year are common throughout the lower portions of the Yucca Wash 
channel. Within the repository area, maximum rates between 500 and 1,000 mm/year occur for 
isolated sections of the Drill Hole Wash channel. 
The map of estimated infiltrated surface-water run-on indicates a maximum run-on infiltration 
rate of between 500 and 1,000 mm/year for an isolated section of Drill Hole Wash within the 
repository area (Figure 6-39). In general, the maximum net-infiltration rates occur at locations 
where the infiltrated run-on rates are high. 
6.12 FEATURES, EVENTS, AND PROCESSES 
Table 6-20 contains a list of features, events, and processes (FEPs) taken from the LA FEP List 
(DTN: MO0407SEPFEPLA.000 [DIRS 170760]). The selected FEPs are those taken from the 
LA FEP List that is associated with the subject matter of this report (BSC 2004 [DIRS 169654], 
Table 2.1.5-1). The results of this model are part of the basis for the treatment of FEPs as 
discussed in Features, Events, and Processes in UZ Flow and Transport 
(BSC 2004 [DIRS 170012], Section 6). The cross-reference for each FEP to the relevant 
sections of this report is also given in Table 6-20. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-98 November 2004 
Output DTN: GS000308311221.005. 
NOTE: The 1999 UZ flow model domain and the 1999 repository footprint are site recommendation boundaries 
(solid lines), not license application boundaries (dashed lines). 
Figure 6-38. Estimated Net Infiltration (mm/year) for the Upper Bound Glacial-Transition Climate 
Scenario 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-99 November 2004 
Output DTN: GS000308311221.005. 
NOTE: The 1999 UZ flow model domain and the 1999 repository footprint are site recommendation boundaries 
(solid lines), not license application boundaries (dashed lines). 
Figure 6-39. Estimated Infiltrated Surface-water Run-on Depth (mm/year) for the Upper Bound Glacial- 
Transition Climate Scenario (DTN: GS000308311221.005) 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 6-100 November 2004 
Table 6-20. FEPs Addressed in This Model Report 
FEP Number FEP Name Relevant Sections 
1.2.02.01.0A 
Fractures 
5, 6.1.2, 6.1.3, 6.1.5, 6.3.1, 6.3.4, 6.6.4, 6.7.3, 7.2.2, Appendix B 
1.3.01.00.0A 
Climate change 5, 6.4.2, 6.9, 6.9.1, 6.9.3, 6.9.4 
1.4.01.01.0A 
Climate modification 
increases recharge 
6.11.2, 6.11.3 
2.1.08.01.0A 
Water influx at the repository 6.11 
2.2.03.01.0A 
Stratigraphy 6.3.1, 6.4, 6.4.1, 6.4.5, 6.4.6, 6.7.3 
2.2.03.02.0A 
Rock properties of host rock 
and other units 
5, 6, 6.6.4, 7.2.2, Appendix B 
2.2.07.01.0A 
Locally saturated flow at 
bedrock/ alluvium contact 
5, 6.1.2, 6.3.4 
2.2.07.02.0A Unsaturated groundwater flow 
in the Geosphere 
6.11 
2.2.07.08.0A 
Fracture flow in the UZ 5, 6.1.2, 6.3.4, 7.2.2 
2.3.01.00.0A 
Topography and morphology 6.1.2, 6.1.4, 6.5.3, 6.6.1, 6.8.3, Appendix D, Appendix I 
2.3.11.01.0A 
Precipitation 5, 6.1, 6.1.2, 6.1.3, 6.3.4, 6.4, 6.4.1, 6.4.2, 6.8.1, 6.8.3, 6.9, 6.9.1, 
6.9.2, 6.9.3, 6.9.4 
2.3.11.02.0A 
Surface runoff and flooding 5, 6.1.2, 6.1.3, 6.3.1, 6.4, 6.4.1, 6.4.5, 6.4.6, 6.4.7 
2.3.11.03.0A 
Infiltration and recharge. 6.11 
FEP=feature, event, or process; LA=license application; TSPA=total system performance assessment; 
UZ=unsaturated zone 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 7-1 November 2004 
7. VALIDATION 
The net infiltration model documented in this model report is concerned specifically with 
estimating the spatial distribution of net infiltration in the vicinity of the Yucca Mountain 
repository under present-day and projected future climatic conditions. The net infiltration model 
is based on the standard distributed-parameter water-balance methods to estimate net infiltration 
as discussed, for example, by Hatton (1998 [DIRS 149476]), and yields net infiltration estimates 
that are within the range of and consistent with the results of other methods that have been used 
to estimate net infiltration and recharge in the Yucca Mountain region. On this basis, the net 
infiltration model documented in this model report are deemed to be appropriate for providing 
estimates of net infiltration that serve as input to and the upper boundary condition for the 
site-scale UZ flow model. 
According to AP-SIII.10Q, Models, Section 3.13, model validation is a process used to establish 
confidence that a mathematical model and its underlying conceptual model adequately represent 
with sufficient accuracy the system, process, or phenomenon in question. The model validation 
process also includes developing a level of confidence as stated in AP-SIII.10Q, Models, 
Section 5.3: Validate the model to the level of confidence required in accordance with 
the TWP and Paragraph 5.3.2c) of AP-SIII.10Q. 
Model validation is the process of testing the appropriateness of the conceptual, mathematical, 
and numeric representation of the system being modeled. The infiltration model is designed to 
provide an analysis tool that facilitates understanding of infiltration processes. The infiltration 
model is also a computational tool to provide net infiltration rates as a boundary condition for the 
calculation of flow fields in the UZ models. For these predictions to be credible, it must be 
demonstrated that the infiltration model has been validated for its intended use. The intended use 
of the infiltration model (INFIL) is to develop upper-bound, mean, and lower-bound infiltration 
maps for present-day and potential future climates (where precipitation and temperature are 
determined in Future Climate Analysis (BSC 2004 [DIRS 170002]). These infiltration maps are 
the top boundary flow condition used by the UZ flow model, as documented in UZ Flow Models 
and Submodels (BSC 2004 [DIRS 169861]). 
For confidence building after model development, the TWP (BSC 2004 [DIRS 169654], 
Section 2.2.1.2, Post-Development Validation Activities) imposes the following requirements 
for model validation: 
The process model will be validatedthat is, confidence in the models will be 
gainedby Method 1, comparison with data, and by Method 2, corroboration 
with alternative mathematical models, identified in Section 5.3.2(c) of 
AP-SIII.10Q. 
1. AP-SIII.10Q, Section 5.3.2(c), Method 1: Comparison with data: 
The average annual net infiltration rate over the model domain area will be compared to 
net infiltration data determined by various methods. Several methods for calculating 
infiltration rate are detailed by Flint et al. (2002 [DIRS 157411]). For example, 
bomb-pulse and non-bomb-pulse isotope data constrain the likely range of average flux 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 7-2 November 2004 
to 1 to 10 mm/year, carbon-14 data produce estimates of flux ranging 
from 4 to 9 mm/year, and borehole temperature data provide a flux range 
of 5 to 12 mm/year for Yucca Mountain (Flint et al. 2002 [DIRS 157411], 
pp. 201 to 202). The criterion for validation of the 1999 INFIL model will be that 
model results are within one order of magnitude of the estimate of annual net infiltration 
by selected alternative models detailed by Flint et al. (2002 [DIRS 157411]), over a 
similar model domain. One order of magnitude is satisfactory for Level I validation 
because estimating net infiltration (and recharge) in the desert southwest involves a 
large degree of relative uncertainty due to low precipitation and high evapotranspiration 
(Flint et al. 2002 [DIRS 157411], p. 181). 
2. AP-SIII.10Q, Section 5.3.2(c), Method 2: Comparison with alternative models: 
The average annual net infiltration rate calculated using INFIL with revised input 
parameters for the UZ flow model domain for the mean present-day climate will be 
compared to the average annual net infiltration rate from the 1999 INFIL model. INFIL 
with revised input parameters is intended as an alternative model for validation 
of the 1999 INFIL model. The criterion for accepting the 1999 INFIL model as valid 
for its purpose will be that the average annual net infiltration rate calculated using 
INFIL with revised input parameters for the UZ flow model domain for the mean 
present-day climate will be within a factor of 2 of the average annual net infiltration rate 
from the 1999 INFIL model. The justification for the selection of this validation 
criterion is that the uncertainty in net infiltration for the present-day climate was 
calculated by the 1999 INFIL model to range from 1.3 mm/year (lower bound) 
to 11.1 mm/year (upper bound) for the UZ flow model domain. Any corroborating 
estimate of net infiltration should fall within this range of uncertainty to ensure that the 
uncertainty in infiltration is adequately represented in TSPA by the upper bound, mean, 
and lower bound infiltration maps. The average annual average net infiltration rate 
calculated by the 1999 INFIL model is 4.6 mm/year. Therefore, the average annual 
average net infiltration rate calculated using revised input parameters will not 
exceed 9.2 mm/year, and will not be less than 2.3 mm/year. 
As stated in the TWP (BSC 2004 [DIRS 169654], Section 2.2.1.1), AP-2.27Q (Attachment 3, 
Table 1) requires Level I validation for models supporting infiltration component of TSPA. 
Section 7.1 discusses confidence building during model development, which establishes the 
reasons for confidence in the infiltration model. Section 7.2 provides a detailed discussion of 
postdevelopment validation activities, including comparison with data and comparisons with 
alternative models. 
7.1 CONFIDENCE BUILDING DURING MODEL DEVELOPMENT TO ESTABLISH 
SCIENTIFIC BASIS AND ACCURACY FOR INTENDED USE 
For Level I validation, criteria from Section 2.2.1.2 of the TWP (BSC 2004 [DIRS 169654]) and 
AP-SIII.10Q Section 5.3.2(b) specifies the following steps for Confidence Building During 
Process Model Development: Confidence is built during model development by incorporating 
qualified topographic, evapotranspiration, air-temperature and precipitation data (digitized 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 7-3 November 2004 
topographic, geologic, and soil maps; soil and bedrock hydrologic properties; and present-day 
and projected future climatic data) and by calibrating the model with qualified streamflow data. 
The development of the infiltration model has been conducted according to these criteria, as 
follows: 
1. Selection of input parameters and/or input data, and a discussion of how the selection 
process builds confidence in the model. [AP-SIII.10Q 5.3.2(b) (1) and AP-2.27Q 
Attachment 3 Level I (a)] 
The inputs to the infiltration model have all been obtained from controlled sources 
(Table 4-1 and Section 4.1), including discussion about selection of input and design 
parameters. Most model inputs originate from site-specific field data. The boundary 
conditions and inputs are appropriate; they sufficiently cover the expected conditions 
and ranges at Yucca Mountain, including temporal changes and spatial variability of 
processes and properties. Model assumptions have been described in detail in 
Section 5. Detailed discussion about model concepts can be found in Section 6.1. Thus, 
this requirement can be considered satisfied. 
2. Description of calibration activities, and/or initial boundary condition runs, and/or run 
convergences, simulation conditions set up to span the range of intended use and avoid 
inconsistent outputs, and a discussion of how the activity or activities build confidence 
in the model. Inclusion of a discussion of impacts of any non-convergence runs 
[(AP-SIII.10Q 5.3.2(b)(2) and AP-2.27Q Attachment 3 Level I (e)]. 
Detailed discussion of initial and boundary conditions for the infiltration model can be 
found in Sections 6.5, 6.6, and 6.7. Section 6.8 provides a detailed discussion on model 
calibration, and Section 6.11 provides detailed discussion of the various model results. 
Discussion about non-convergence runs is not relevant for this model report because all 
model runs converged. Thus, this requirement can also be considered satisfied. 
3. Discussion of the impacts of uncertainties to the model results including how the model 
results represent the range of possible outcomes consistent with important 
uncertainties. [(AP-SIII.10Q 5.3.2(b)(3) and AP-2.27Q Attachment 3 Level 1 (d) and 
(f)]. 
Discussion of model inputs for uncertainties and sensitivity analyses are discussed 
briefly in Section 6.10, and a reference to the Analysis of Infiltration Uncertainty 
(BSC 2003 [DIRS 165991]) is included. 
4. Formulation of defensible assumptions and simplifications. [AP-2.27Q Attachment 3 
Level I (b)]. 
Discussion of assumptions and simplifications are provided in detail in Section 5, with 
some additional information included in Section 6. The basis for all assumptions are 
discussed in detail in Section 5. 
5. Consistency with physical principles, such as conservation of mass, energy, and 
momentum. [AP-2.27Q Attachment 3 Level I (c)]. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 7-4 November 2004 
Consistency with physical principles is demonstrated by the conceptual and 
mathematical formulation of the infiltration model described in Sections 6.1 and 6.2, 
and by analysis of the mass balance error in the output files generated by INFIL. Since 
INFIL is a mass balance model, the mass balance error generated is a good indication of 
the degree of conservation of mass. 
7.2 POSTDEVELOPMENT MODEL VALIDATION TO SUPPORT THE SCIENTIFIC 
BASIS OF THE MODEL 
Postdevelopment model validation to support the scientific basis of the model is accomplished 
by comparison of the infiltration rate calculated using INFIL with other data, and by comparison 
with an alternative model. 
7.2.1 Method 1: Comparison of Infiltration Rate with Other Data 
Net infiltration and recharge have been estimated for the areas within the Death Valley region 
using methods appropriate for arid environments, such as water-balance techniques (e.g., basin 
wide estimates of discharge or numerical models accounting for all significant components of the 
water balance), soil-physics techniques, geochemistry, and transfer equations based on other 
variables (such as precipitation). The net infiltration model INFIL is a water-balance technique 
that can be compared to techniques using geochemistry and transfer functions. 
Transfer functions relating recharge to precipitation have been widely used in the Death Valley 
region. A method was developed (Maxey and Eakin 1950 [DIRS 100598]) for estimating 
recharge to groundwater basins in Nevada, providing a baseline for the spatial distribution of 
recharge. This method uses average annual precipitation to classify areas of a basin into five 
recharge zones. Each zone uses a different percentage of average annual precipitation becoming 
recharge: zero percent recharge for less than 203 mm/year average annual 
precipitation, 3 percent for 203 to 304 mm/year, 7 percent for 305 to 380 mm/year, 15 percent 
for 381 to 507 mm/year, and 25 percent for 508 mm/year or greater (Maxey and 
Eakin 1950 [DIRS 100598]). 
Net-infiltration and recharge estimates for basins in Nevada also have been obtained using 
chloride mass balance calculations. This method equates chloride in recharge water and runoff 
to chloride deposited in source areas by precipitation and dry fallout. An analysis of recharge 
(Lichty and McKinley 1995 [DIRS 100589]) was provided for two basins in central Nevada 
using a 6-year measurement period and two independent modeling approaches: water balance 
and chloride mass balance. Their results yielded recharge rates of 10 to 30 mm/year for a 
drainage basin with an average annual precipitation of 270 mm, and 300 to 320 mm/year for a 
drainage basin with an average annual precipitation of 640 mm (they do not report results for 
sites with precipitation between 270 and 640 mm). They determined that the chloride mass 
balance method was more viable for their study. 
Net-infiltration estimates obtained for the nine climate scenarios over the net-infiltration model 
area, the UZ flow model area, and the repository area were plotted against the corresponding 
average annual precipitation rates and compared with recharge and net-infiltration estimates 
obtained using the independent methods of Maxey and Eakin (1950 [DIRS 100598], 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 7-5 November 2004 
pp. 40 to 41) and Lichty and McKinley (1995 [DIRS 100589], Table 15). The qualitative 
comparison with the independent methods is based on the estimated average precipitation rate 
corresponding to a given recharge or net infiltration estimate. An assumption is made that the 
spatially averaged net infiltration estimates are approximately equivalent to recharge at Yucca 
Mountain for a given climate scenario (transient effects are ignored). 
The net infiltration estimates were also compared against estimates of average recharge rates 
obtained using the chloride mass balance method for SZ boreholes at Yucca Mountain These 
estimates range from 4 to 18 mm/year for the SZ underlying Yucca Mountain (BSC 2004 
DIRS 170037], Table A6-6), and correspond to an average Holocene precipitation 
rate of 170 mm/year at Yucca Mountain. These recharge estimates are in good general 
agreement with the the spatially averaged mean present-day climate (4.6 mm/yr), the upper 
bound present-day climate (11.1 mm/yr), the mean monsoon climate (12.2 mm/yr), and the mean 
glacial-transition climate (17.8 mm/yr) net infiltration rates for the UZ flow model domain 
(Tables 6-9, 6-13, and 6-18). 
The graph of net infiltration and recharge versus precipitation indicates that the net-infiltration 
estimates for all lower and mean climate scenarios are in general agreement with independent 
recharge estimates for precipitation rates of less than approximately 350 mm/year. The 
net-infiltration estimates for the upper bound glacial-transition and monsoon climates are 
low relative to the Maxey-Eakin recharge estimates obtained for precipitation rates 
of 400 to 450 mm/year. The higher Maxey-Eakin estimates are 15 percent of average annual 
precipitation, while the net-infiltration estimates are only 5 to 10 percent of average annual 
precipitation. For precipitation rates greater than 500 mm/year, Maxey-Eakin estimates 
are 25 percent of average annual precipitation. In the Maxey-Eakin method, the higher 
precipitation rates correspond to higher elevation basins in the central and southern Nevada 
region (Maxey and Eakin 1950 [DIRS 100598]). Recharge estimates of 
approximately 300 mm/year were obtained (Lichty and McKinley 1995 [DIRS 100589]) for a 
small, relatively high-elevation basin receiving approximately 600-mm/year precipitation 
(mostly as snow) indicating that recharge (and thus net infiltration) may be as high as 50 percent 
of precipitation at some locations in the Great Basin. 
These methods have also been applied on a larger scale in the Great Basin and can also be 
compared to the INFIL results for net infiltration. The Maxey-Eakin method was applied to 
167 basins in the Great Basin to estimate recharge for locations of MAP in excess 
of 8 inches (203 mm/year) (Harrill and Prudic 1998 [DIRS 149377], Figure 7-2). The chloride 
mass balance method was used by Dettinger (1989 [DIRS 105384]), who applied it to 16 basins 
in Nevada; the estimates were close to those that they obtained using the Maxey-Eakin method 
and water-balance calculations. Values of recharge estimated for Dettingers 16 basins, as well 
as the two points determined by Lichty and McKinley (1995 [DIRS 100589]) presented on 
Figure 7-1, are included on Figure 7-2. 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 7-6 November 2004 
0.1
1 
10 
100 
1000
150 200 250 300 350 400 450 500 550 600 650 
Precipitation (mm/year) 
Net Infiltration / Recharge (mm/year) 
Present-Day (INFIL simulated infiltration) 
Monsoon (INFIL simulated infiltration) 
Glacial Transition (INFIL simulated infiltration) 
Maxey and Eakin (estimated recharge) 
Chloride mass balance data 
Lichty and McKinley (estimated recharge) 
Winograd (estimated recharge) 
Source: BSC 2004 [DIRS 170037]; Maxey and Eakin 1950 [DIRS 100598]; Lichty and McKinley 1995 
[DIRS 100589]; Winograd 1981 [DIRS 100019]. 
Output DTN: GS000308311221.005. 
Figure 7-1. Comparison of 1999 INFIL Simulated Average Net-Infiltration Rates at Yucca Mountain 
(Upper Bound, Lower Bound, and Mean for Three Climates and Three domain Areas) 
The net infiltration for selected modeling domains (Figure 6-11) and calibration watersheds 
(Figure 6-19) at Yucca Mountain is shown on Figure 7-2. This figure shows recharge, or net 
infiltration, as a volume calculated per basin area as a function of average annual precipitation 
volume. The generally good agreement among the various methods for estimating net 
infiltration indicated by Figures 7-1 and 7-2, including the results from the net-infiltration model, 
supports the conclusion that the net-infiltration model is appropriate for estimating the spatial 
distribution of net infiltration within the Yucca Mountain site area. 
The 2004 (H104) model (refer to Section 7.2.2) calculated average annual net infiltration values 
of 4.4, 5.5, and 7.6 mm/year for the entire model domain, the UZ flow model domain, and 
the 1999 repository footprint, respectively (Table 7-1). All three of these values are well within 
an order of magnitude of the mean values of 5, 6.5, and 8.5 mm/year for the bomb-pulse, 
carbon-14, and borehole temperature methods reported by Flint et al. (2002 [DIRS 157411], 
pp. 201 to 202) that were selected as the validation criteria for the revision of the model report. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 7-7 November 2004 
Table 7-1. Net Infiltration for Different Model Areas for the 1999 and 2004 Model Runs 
Model Area 1999 INFIL Results 2004 INFIL Results Percent Difference 
Total infiltration domain 3.6 4.4 22.2 
UZ flow model domain 4.6 5.5 19.6 
1999 Repository Footprint 4.7 7.6 61.7 
Output DTNs: GS000308311221.005; SN0408T0507804.003. 
NOTE: Estimates of net infiltration for the UZ flow model area differ slightly from those reported in BSC (2004 
[DIRS 169861], Table 6.1-2) because site recommendation boundaries are used in this report while 
license application boundaries are used in UZ Flow Models and Submodels (BSC 2004 [DIRS 169861]). 
UZ=unsaturated zone 
Output DTN: GS000308311221.005. 
Figure 7-2. Comparison of Various Methods to Estimate Recharge in the Death Valley Region and Yucca 
Mountain with Selected Results from the 1999 INFIL Model Simulations as a Function of 
Average Annual Precipitation 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 7-8 November 2004 
7.2.2 Method 2: Comparison with An Alternative Model 
This method of model validation uses the 2004 model recalibration as the alternative model. 
Comparisons of average annual net infiltration are limited to the mean present-day climate only. 
The 2004 (recalibrated) model to which the 1999 model is compared is referred to below as 
the H104 model (parameter set). Note that the 2004 INFIL model is the same as the 1999 INFIL 
model, except in input parameters values. 
Hydraulic Conductivity Data 
During the 2004 model recalibration, effective bedrock permeability was increased by 
approximately two orders of magnitude. As a result of the 2004 RIT review, the permeabilities 
used in the 1996 and 1999 model runs were considered to be inconsistent with fracture 
permeabilities reported in Calibrated Properties Model (BSC 2004 [DIRS 169857], Table 4-3) 
and with infiltration rates measured during the Alcove 1 infiltration experiments (Liu 
et al. 2003 [DIRS 162470]). The permeabilities for 250-m filled fractures were used in 
the 1996 and 1999 models runs, and the fracture permeabilities reported in Calibrated Properties 
Model (BSC 2004 [DIRS 169857], Table 4-3) and the permeabilities calculated from 
the Alcove 1 infiltration experiments (Liu et al. 2003 [DIRS 162470]) are considerably higher 
than permeabilities used in the 1996 and 1999 INFIL calibrations. 
The conductivity of the upper lithophysal zone of the Tiva Canyon Tuff reported in Table D-3 of 
this model report is 1.13 mm/day, while the permeability of the same unit reported in Calibrated 
Properties Model (BSC 2004 [DIRS 169857]) is 5.3  10-12 m2 (which corresponds to a 
conductivity of approximately 4482 mm/day); and the conductivity of the same unit determined 
during the Alcove 1 infiltration experiments is 21.5 mm/day (Liu et al. 2003 [DIRS 162470]). 
The difference in permeabilities between reports and field measurements may partially be a 
result of scaling effects between laboratory and field scales. 
The hydraulic conductivities for all bedrock units, not just the Tiva Canyon Tuff unit, are 
significantly different between Table D-3 in this model report and Table 4-3 in Calibrated 
Properties Model (BSC 2004 [DIRS 169857]). This is primarily due to the assumption made 
during the 1996 and 1999 INFIL model calibrations that all fractures near the ground surface 
have an aperture of 250-m and they are filled fractures. In contrast, the permeabilities reported 
in Calibrated Properties Model (BSC 2004 [DIRS 169857], Table 4-3) are primarily for open 
fractures and may not represent the condition of the fractures near the ground surface. The 
actual values of bedrock hydraulic conductivities are likely somewhere between those reported 
in Table D-3 and in Calibrated Properties Model (BSC 2004 [DIRS 169857], Table 4-3), as 
observed during the Alcove 1 infiltration experiments. 
For the 2004 INFIL model calibration, the goal was to use scaled values of bedrock hydraulic 
conductivities between those reported in Table 4-3 in Calibrated Properties Model (BSC 2004 
[DIRS 169857]) and the average value obtained from the Alcove 1 infiltration experiments, such 
that the actual value used for the Tiva Canyon Tuff unit was equal to that determined from the 
Alcove 1 experiments (Liu et al. 2003 [DIRS 162470]). This was accomplished by calculating 
the ratio of the log mean hydraulic conductivities for the Tiva Canyon Tuff from the Alcove 1 
experiments (1.33) to the log mean hydraulic conductivities for the Tiva Canyon Tuff from 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 7-9 November 2004 
Calibrated Properties Model (BSC 2004 [DIRS 169857]) (3.65), and multiplying this ratio 
(1.33/3.65 = 0.365) to all the log values of the units reported in Calibrated Properties Model 
(BSC 2004 [DIRS 169857], Table 4-3). This new set of hydraulic conductivities 
(DTN: SN0409T0507804.005 [DIRS 171747]) was then used in the 2004 INFIL model 
recalibration. Refer to Figure 7-3 for a comparison of the hydraulic conductivities discussed 
above. Some bedrock units are repeated in this figure because more than one value of 
conductivity was reported for that unit in Table D-3. The net result of the conversion is that the 
mean of all of the bedrock conductivities (not including soils) used in this model report increased 
from 0.34 mm/day (used for 1999 calibration) to 12.3 mm/day (for 2004 calibration) 
(DTN: SN0409T0507804.005 [DIRS 171747]). 
Values of bedrock permeability were adjusted using a scaling factor as described above, so these 
values are outside the range assigned in the infiltration uncertainty analysis (BSC 2003 
[DIRS 165991], Table 6-2; also see Table 7-2 of this report). The chosen model parameter set 
for recalibration and validation (H104) satisfied the specified calibration and validation criteria 
but was not optimal since an optimization method was not employed to determine it. 
0.01 
0.1
1 
10 
100 
1000 
10000 
100000 
BF3 
BT2 
BT3 
BT4 
CHZ 
CHZ 
CNW 
CUC 
CUL 
CW 
CW 
PP1 
PP2 
PP2 
PP3 
PV2 
PV3 
TC 
TC 
TC 
TLL 
TLL 
TM1 
TMN 
TMN 
TPP 
TR 
TR 
TUL 
Hydrogeologic Unit 
Hydraulic Conductivity (mm/day) 
BSC (2003 [DIRS 166518]) 
BSC (2004 [DIRS 169857[) 
Alcove 1 
Scaled 
Source: DTN: SN0409T0507804.005 [DIRS 171747]. 
NOTE: Comparison Between Simulation of Net Infiltration for Modern and Potential Future Climates 
BSC (2003 [DIRS 166518]), Calibrated Properties Model BSC (2004 [DIRS 169857]), Alcove 
1 Field Data, and the Scaled Values Used in the 2004 Model Calibration 
Figure 7-3. Comparison of Hydraulic Conductivities 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 7-10 November 2004 
Net Infiltration (flux) Data 
Net infiltration (flux) at selected grid cells was calculated using water content data 
(DTN: GS960508312212.008 [DIRS 122609]). The water content data were calculated from 
neutron logging data (neutron counts) collected at neutron logging boreholes. These flux 
calculations are considered to be measurements of flux and adequate for calibration of the 
2004 model parameter set (H104). However, these measurements can be problematic in that one 
borehole can yield high flux while an adjacent borehole several meters away, installed in the 
same topographic domain, can yield zero flux. For this reason, a method of grouping boreholes 
was used in order to use the average flux values for clusters of boreholes. As described in 
Section 6.3.4, the installation of these boreholes may have created new fractures and pathways 
(short-circuiting) for water flow for some boreholes and not for others. This neutron 
logging - water content  flux dataset has also been used to generate a net infiltration flux map 
for the entire Yucca Mountain region (Flint et al. 2001 [DIRS 156351], Figure 13). The average 
net infiltration for the repository footprint used in that study was in the range 
of 20 to 30 mm/year. Therefore, the estimates of net infiltration from the neutron logging dataset 
are considerably higher than the estimates of net infiltration provided during the 1999 INFIL 
model calibration, and a variety of other independent methods of estimating net infiltration at 
Yucca Mountain. 
During the 2004 model calibration, the model inputs that were adjusted for model calibration 
were primarily empirical factors such that their values had little or no physical basis. Some 
physically-based parameters, such as potential evapotranspiration, soil depth, and bedrock 
porosity, were also adjusted during model calibration. Potential evapotranspiration was 
increased for the entire model domain using a multiplier of 1.4, applied to all grid cells. The net 
effect of using a multiplier of 1.4 (along with a value of 1.46 instead of 1.26 for a to account for 
the missing advective energy term in the Priestley-Taylor equation) is that average annual 
potential evapotranspiration increased from approximately 800 mm/year (used in the 1996 and 
1999 model calibrations), to approximately 1650 mm/year, a value that is consistent with other 
reports (DOE 2001 [DIRS 171281]; Shevenell 1996 [DIRS 171280]). Other combinations of 
values of the PET multiplier and a may have given similar results but this was not investigated. 
Soil depth was reduced by a factor of two for the entire model domain during the 2004 model 
calibration. This reduction was justified because the root-zone weighing parameters were 
increased with depth; therefore, the reduced soil depths can be considered to be an effective 
rooting depth based on the updated weighing parameters (Table 7-2). A value of 0.024 was used 
for bedrock porosity. This value matches the upper limit for bedrock porosity reported in 
Analysis of Infiltration Uncertainty (BSC 2003 [DIRS 165991]). However, bedrock near the 
ground surface should be expected to be more rotten and fractured than at greater depths, so use 
of a slightly higher porosity in the 2004 model calibration can be justified. Other input 
parameters that were adjusted for the 2004 model calibration include: 
 Root-zone density weighting parameters 
 ET-depth weighting factors 
 Soil and bedrock layer thicknesses 
 Priestley-Taylor evaporation and transpiration coefficients 
 Effective wetted area for run-on. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 7-11 November 2004 
Table 7-2. Summary of Input Parameters Changed for the 2004 Model Calibration 
Model Parameters Adjusted 
1999 
INFIL 
2004 
INFIL 
Upper 
Rangea 
Lower 
Rangea 
Bedrock Ks (average, mm/day) 0.34 12.32 3.38 0.03 
PET multiplier (effect) 1 1.4 1.4 0.6 
Soil and root-zone thickness multiplier (sdfact) 1 0.5 1.9 0.1 
Root-zone activity for soil layer 2 (rootf2) 0.5 1 not used not used 
Root-zone activity for soil layer 3 (rootf3) 0.2 0.5 not used not used 
Root-zone activity for bedrock layer (rootf4) 0.01 0.2 not used not used 
Maximum ET weighting factor soil layer 2 (maxwgt2) 0.8 1 not used not used 
Maximum ET weighting factor soil layer 3 (maxwgt3) 0.2 0.2 not used not used 
Maximum ET weighting factor bedrock layer 3 (maxwgt4) 0.05 0.2 not used not used 
Soil layer 1 bottom depth (meters) (rdepth1) 0.3 0.02 not used not used 
Soil layer 2 bottom depth (meters) (rdepth2) 1.5 0.3 not used not used 
Bedrock layer thickness coefficient (rdepthf) 2 1 2 0 
Effective root-zone storage capacity for bedrock (rkpor) 0.02 0.024 0.024 0.002 
Effective wetted area for run-on (flarea) 0.5 0.3 0.99 0.01 
Bare-soil ET coefficient (barsoil2) 1.04 1.46 1.54 0.54 
Transpiration coefficient (for soil layer etcoeffa) -2.5 -10 not used not used 
Transpiration coefficient (for bedrock layer etcoeffa) -1.5 -10 not used not used 
Transpiration coefficient (etcoeffb) 1.26 1.46 not used not used 
Mean daily air temperature (deg. C) (atemp1) 17.3 15.1 not used not used 
Time step for solrad routine (hours) (hstep) 2 1 not used not used 
Output DTNs: SN0407T0507804.001; SN0309T0503100.009. 
a Refers to Analysis of Infiltration Uncertainty (BSC 2003 [DIRS 165991]). 
ET=evapotranspiration; Ks =saturated hydraulic conductivity; PET=potential evapotranspiration 
In addition, the average annual temperature was changed because an incorrect value was used in 
the 1999 model calibration, and the timestep for calculation of PET was reduced from two hours 
to one hour. This reduction in timestep length was introduced in order to better capture the 
hourly changes in PET. Refer to Table 7-2 for a summary of all input parameters adjusted 
during the 2004 model calibration. 
Results of Model Recalibration 
The 2004 model was calibrated using flux calculated from neutron logging data and by using the 
same stream discharge data used for the 1999 model calibration. For the flux data, 41 boreholes 
were selected from the 84 in the dataset (DTN: GS960508312212.008 [DIRS 122609]). 
These 41 boreholes were selected because they are located within the areas of the stream flow 
calibration watersheds used for calibration of stream flow. Of these 41 boreholes, two were 
thrown out because measured flow at these boreholes was unreasonably large. As previously 
discussed, these two boreholes may have been affected by short-circuiting of flow by fractures 
caused by drilling. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 7-12 November 2004 
The measured average annual flux (calculated from water content measurements) from 
these 39 boreholes was 20.3 mm/year. The modeled average annual flux was exactly the 
same, 20.3 mm/year. However, there was large variability between measured and modeled flux 
among the 39 boreholes (Figure 7-4). There were many boreholes in which measured flux was 
zero while modeled flux was high, and vice versa. Because of this variability, a method of 
grouping boreholes was used in which clusters of boreholes within a grid cell were averaged 
together. The result of this comparison is shown in Figure 7-5. The measured average annual 
flux from these 21 groups of boreholes was 18.7 mm/year while the modeled average annual flux 
was 13.7 mm/year. Figure 7-6 shows this comparison for Pagany Wash boreholes only. The 
measured average annual flux from these seven groups of boreholes was 17.8 mm/year while the 
modeled average annual flux was 20.6 mm/year. This figure demonstrates that the flux 
calibrations work better for some watersheds than for others. 
0 
10 
20 
30 
40 
50 
60 
70 
80 
90 
100
0 10 20 30 40 50 60 70 80 90 100 
Calculated flux from water content measurements (mm/yr) 
Modeled flux (mm/yr) 
Average calculated flux for 39 
boreholes = 20.3 mm/yr 
Average modeled flux for 39 
boreholes = 20.3 mm/yr 
Source: DTNs: GS960508312212.008 [DIRS 122609]; SN0408T0507804.003. 
Figure 7-4. Flux Calculated from Water Content Measurements Versus Modeled Flux at 39 Neutron 
Logging Boreholes Within the Area of the Five Streamflow Calibration Watersheds. 
Measured Flux Is Calculated from Neutron Logging Water Content Data Using the 0.012 
Filter 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 7-13 November 2004 
0 
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20 
30 
40 
50 
60 
70 
80 
90 
100
0 10 20 30 40 50 60 70 80 90 100 
Calculated flux from water content measurements (mm/yr) 
Modeled flux (mm/year) 
Average calculated flux for 21 groups 
of boreholes = 13.7 mm/yr 
Average modeled flux for 21 groups of 
boreholes = 18.7 mm/yr 
Source: DTNs: GS960508312212.008 [DIRS 122609]; SN0408T0507804.003. 
Figure 7-5. Flux Calculated from Water Content Measurements Versus Modeled Flux for 21 Groups of 
Neutron Logging Boreholes (Based on Topography) Within the Area of the Five Streamflow 
Calibration Watersheds. Measured Flux Is Calculated from Neutron Logging Water Content 
Data Using the 0.012 Filter 
The 2004 model was also calibrated using stream flow data. Results of this calibration indicate 
that modeled stream flow was not matched to measured stream flow as well as it was for the 
1999 calibration (refer to Figure 7-7 and Table 7-3). However, results of this calibration indicate 
that stream flow is underestimated, and this adds to the conservatism of the model. 
The results for the comparisons of average net infiltration between the 1999 model and 
the 2004 model (H104 parameter set) are summarized in Table 7-1. It is noteworthy that despite 
the significantly higher bedrock permeabilities used in the 2004 H104 than in the 1999 model, 
the net infiltration for both the entire infiltration and the UZ flow domains is only 
about 20 percent higher in the 2004 H104 model. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 7-14 November 2004 
0 
10 
20 
30 
40 
50 
60 
70 
80 
90 
100
0 10 20 30 40 50 60 70 80 90 100 
Calculated flux from water content measurements (mm/yr) 
Modeled flux (mm/year) 
Average calculated flux for 7 groups of 
boreholes in Pagany Wash = 17.8 mm/yr 
Average modeled flux for 7 groups of 
boreholes in Pagany Wash = 20.6 mm/yr 
Source: DTNs: GS960508312212.008 [DIRS 122609]; SN0408T0507804.003. 
Figure 7-6 Flux Calculated from Water Content Measurements Versus Modeled Flux for Seven Groups 
of Neutron Logging Boreholes (Based on Topography) Within Pagany Wash Watershed. 
Measured Flux Is Calculated from Neutron Logging Water Content Data Using the 0.012 
Filter 
Comparison of results from the 2004 INFIL model and those predicted using the 1999 model 
simulations indicate that the net infiltration validation criteria are satisfied. Average annual net 
infiltration was 4.4, 5.5, and 7.6 mm/year for the entire model area, the UZ flow area, and for 
the 1999 repository footprint. These results are shown in Table 7-1. These results indicate that 
the 2004 model yields relatively higher net infiltration over the repository footprint than 
the 1999 model, because of the reduction in soil depth. At the top of Yucca Mountain (over the 
repository footprint), soils are much thinner than in surrounding areas, so a reduction in soil 
depth will have a more notable effect on net infiltration over this area than over areas with deep 
soils. The net infiltration map for the 2004 model is shown in Figure 7-8, and the net infiltration 
difference map (1999 model infiltration minus 2004 model infiltration) is shown in Figure 7-9. 
The 2004 model results show less variability compared to the 1999 result 
(BSC 2003 [DIRS 166518], in Figure 7-8 and Figure 6-26). This may be largely due to the 
reduced relative differences in bedrock saturated hydraulic conductivity due to the scaling down 
of the values from the values reported in Calibrated Properties Model 
(BSC 2004 [DIRS 169857], Table 4-3), since net infiltration is sensitive to this parameter. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 7-15 November 2004 
0
5 
10 
15 
20 
25 
30 
0 5 10 15 20 25 30 
Measured Stream Flow (acre-feet) 
Modeled Stream Flow (acre-feet) 
2004 INFIL Calibration 
1999 INFIL Calibration 
1:1 Line 
Source: DTNs: GS941208312121.001 [DIRS 107374]; GS960908312121.001 [DIRS 107375]. 
Output DTN: SN0408T0507804.004. 
Figure 7-7 Measured Versus Modeled Stream Flow for the 1999 and 2004 Model Calibrations for the 
Five Stream Flow Calibration Watersheds 
Table 7-3. Summary of the 1999 and 2004 Model Calibrations Using Stream Flow Data 
1995 Streamflow (acre-feet) Measured 
Modeled 
1999 INFIL 
Modeled 
2004 INFIL 
Lower Pagany Wash 17.07 14.34 11.34 
Upper Pagany Wash 27.16 19.70 18.71 
Upper Drill Hole Wash 9.91 21.56 13.56 
Upper Split Wash 9.12 7.54 1.31 
Wren Wash 8.37 10.95 1.61 
Source: DTNs: GS941208312121.001 [DIRS 107374]; GS960908312121.001 [DIRS 107375]. 
NOTE: Cubic feet per second (cfs) was converted to acre-feet by cfs / (43560*3600*24) = acre-feet. 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 7-16 November 2004 
The infiltration map generated during the 2004 model recalibration 
(DTN: SN0408T0507804.003) was used as input to the site-scale UZ flow model 
(BSC 2004 [DIRS 169861], Appendix I) in a sensitivity study to investigate the impact of the 
new infiltration map on the flow field. The sensitivity analysis results 
(BSC 2004 [DIRS 169861], Appendix I) indicate that the new infiltration map results in 
an 18 percent increase in net infiltration; however, the new infiltration within the repository 
footprint near the center of the UZ model domain is increased by 73 percent. The main 
difference between the new infiltration map from the current one is a large decrease in net 
recharge in the very northern area and some increase along the middle from the Drill Hole Wash 
fault to the south. On the other hand, the UZ moisture conditions predicted using the new 
infiltration map are similar to those by the current present-day, mean infiltration map in terms of 
matching matrix liquid saturation, water potential, and perched water data. Statistics of 
simulated percolation fluxes, fracture, matrix, and fault flow components with the new 
infiltration are, in most part, similar to those with the current infiltration map, except for a large 
decrease in fault flow percentage on repository and water table levels 
(BSC 2004 [DIRS 169861], Appendix I). 
7.3 VALIDATION SUMMARY 
The results of calculations of net infiltration have been validated by applying acceptance criteria 
based on an evaluation of the models relative importance to the potential performance of the 
repository system. All validation requirements defined in Technical Work Plan for: Unsaturated 
Zone Flow Analysis and Model Report Integration (BSC 2004 [DIRS 169654], Section 2.2.1.2) 
have been fulfilled, including corroboration of model results with experimental data, and 
corroboration with alternative models. Activities requirements for confidence building during 
model development have also been satisfied. The model development activities and 
postdevelopment validation activities described establish the scientific bases for the infiltration 
model. Based on this, the infiltration model used in this report is considered to be sufficiently 
accurate and adequate for the intended purpose, and to the level of confidence required by the 
models relative importance to the potential performance of the repository system. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 7-17 November 2004 
Output DTN: SN0408T0507804.003. 
NOTE: The 1999 UZ flow model domain and the 1999 repository footprint are site recommendation boundaries 
(black solid lines), not license application boundaries (white dashed lines). 
Figure 7-8. Estimated Net Infiltration (mm/year) for the Mean Present-Day Climate Scenario Using the 
2004 (H104) Model 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 7-18 November 2004 
Output DTN: SN0408T0507804.003. 
NOTE: The 1999 UZ flow model domain and the 1999 repository footprint are site recommendation boundaries 
(black solid lines), not license application boundaries (white dashed lines). 
Figure 7-9. Difference in Net Infiltration (mm/year) for the Mean Present-Day Climate Scenario Between 
the 2004 (H104) Model and the 1999 Model Outputs 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 8-1 November 2004 
8. CONCLUSIONS 
This model report describes enhancements made to the 1996 infiltration model documented by 
Flint et al. (1996 [DIRS 100147]) and documents the steps taken to generate spatial and temporal 
distributions over a model domain encompassing the Yucca Mountain site. Net infiltration is the 
component of infiltrated precipitation, snowmelt, or surface water run-on that has percolated 
below the zone of evapotranspiration, as defined by the depth of the effective root zone. The 
estimate of net infiltration are used for defining the upper boundary condition for the site-scale 
three-dimensional UZ flow model and the TSPA-LA model. Estimates of net infiltration are 
provided as raster-based, two-dimensional grids of spatially distributed, time-averaged rates for 
three different climate stages estimated as likely conditions for the next 10,000 years beyond the 
present. Each climate stage is represented using a lower bound, a mean, and an upper bound 
climate and corresponding net-infiltration scenario for representing uncertainty in the 
characterization of daily climate conditions for each climate stage, as well as potential climate 
variability within each climate stage. The set of nine raster grid maps provides spatially detailed 
representations of the magnitude and distribution of net-infiltration rates used to define specified 
flux upper boundary conditions for the UZ flow models. 
All source data, references, models, routines, and procedures are described, noted, or referenced 
in this report for complete tracking of all modeling activities. All assumptions used to obtain 
estimates of net infiltration are described. This report consists of (1) modifications to 
the 1996 model (Flint et al. 1996 [DIRS 100147]); (2) an update of input parameters defining the 
new model INFIL V2.0 (USGS 2000 [DIRS 139422]); (3) calibration of the new model using 
stream flow records; (4) the development of daily climate input representative of potential future 
climate stages; (5) application of the model to provide net-infiltration estimates for a lower, 
mean, and upper bound climate scenario within each potential future climate stage; and (6) the 
recalibration and validation of a new parameter set to further validate the 1999 INFIL model 
results. Developed output data are listed by data tracking number (DTN) in Table 8-1. 
Table 8-1. Output Data Sets Generated in the Development and Application of the Net Infiltration Model 
Description Data Tracking Number 
Preliminary Net Infiltration Modeling Results for 3 Climate Scenarios for FY99 GS000308311221.005 
Template files for Uncertainty Analysis GS000308311221.011 
Preliminary Developed Daily Climate Data from Tule Lake, California, Used for 
Infiltration Uncertainty Analysis 
GS000308311221.010 
Rainfall/Runoff/Run-on 1999 Simulations GS000399991221.002 
Preliminary Geospatial Input Data for INFIL V2.0 FY99 GS000308311221.004 
Merged USGS Digital Elevation Model from Topopah Spring West and Busted 
Butte 7.5 DEMs 
GS000308311221.006 
Yucca Mountain 1980-1995 Developed Daily Precipitation Record GS000208311221.001 
Preliminary Developed Daily Climate Data for Potential Future Monsoon and 
Glacial-Transition Climates Using Records from Selected Analog Sites 
GS000208311221.002 
Model Control Files For Infil V A_2.A1, Submodel Denoted H104 SN0407T0507804.001 
Model Control Files Of Streamflow Calibration For Infil V 2.0, Submodel Denoted 
H104 
SN0408T0507804.002 
Output Flux Files Calculated Using Infil V A_2.A1, Submodel Denoted H104 SN0408T0507804.003 
Output Re-Calibration Files Calculated Using Infil V A_2.A1 And Infil V 2.0 (Daily 
Output Streamflow Calibration Only) For The (2004) Submodel Denoted H104 
SN0408T0507804.004 
FY=fiscal year; USGS=United States Geological Survey 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 8-2 November 2004 
8.1 SUMMARY OF RESULTS 
The net infiltration simulation results for the 1980 to 1995 calibration period include an average 
net-infiltration rate of 5.1 mm/year over the area of the net infiltration model domain, with a 
maximum rate of 1,486 mm/year obtained for a stream channel location in the northern part of 
the Yucca Wash watershed. The 4JA current-climate 100-year simulation provided an average 
net-infiltration rate of 2.2 mm/year over the net infiltration model domain, and a maximum rate 
of 574.4 mm/year. The wetter Area 12 Mesa 100-year simulation provided an average 
net-infiltration rate of 14.0 mm/year over the net infiltration model domain, with a maximum rate 
of 4,354 mm/year for a stream channel location in Yucca Wash. The results indicate a good 
correlation between the maximum infiltrated surface-water run-on rates and the maximum 
net-infiltration rates, indicating the importance of surface-water flow in causing relatively high 
but localized net-infiltration rates. The three separate net-infiltration simulation results were 
integrated to provide spatially distributed net-infiltration estimates for the lower bound, mean, 
and upper bound present-day climate scenarios. 
Results for the mean present-day climate scenario include an average precipitation rate of 
188.5 mm/year, an average outflow rate of 0.2 mm/year (corresponding to an average stream 
discharge rate of 0.03 cfs), and an average net-infiltration rate of 3.6 mm/year for the area of the 
net-infiltration model domain. In comparison, net infiltration is estimated to be 1.2 mm/year for 
the lower bound present-day climate and 8.8 mm/year for the upper bound present-day climate 
over the area of the net-infiltration model domain. The spatial distribution of estimated 
precipitation for the mean present-day climate scenario indicates minimum estimates 
of 140 to 160 mm/year occurring along the southern and southeastern parts of the modeling 
domain, with maximum estimates of more than 260 mm/year occurring for the summit areas 
along the northern perimeter of the modeling domain. The spatial distribution of estimated 
net-infiltration rates for the mean present-day climate indicates most net infiltration occurs in 
upland areas with thin soils. The spatial distribution also indicates a strong control by bedrock 
hydraulic conductivity on spatial distributions and magnitudes, in addition to the effects of thin 
soils and surface-water run-on. 
Variability in net infiltration caused by topographic effects on potential evapotranspiration is 
illustrated by the higher net-infiltration rates for the north-facing slopes of washes compared to 
south-facing slopes. Maximum net-infiltration rates of more than 100 mm/year occur within 
the UZ flow model domain for isolated areas that include side-slope and channel locations with 
thin soils and high hydraulic conductivity bedrock. The contribution to the total net-infiltration 
volume over the area of the UZ flow model is dominated, however, by the lower rates 
of 1 to 20 mm/year covering wider areas of sideslope and ridgetop locations because of a much 
greater total area of coverage. 
In general, the maximum net-infiltration estimates for the three climate scenarios are more than 
two orders of magnitude higher than the spatially averaged net-infiltration rates for the three 
areas analyzed, indicating a high degree of spatial variability for the estimation results. In all 
cases, maximum net-infiltration rates occur at locations affected by surface-water run-on, and 
there is a strong correlation between the maximum infiltrated run-on rates with maximum 
net-infiltration rates for all areas and for all climate scenarios. However, because the areas with 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 8-3 November 2004 
relatively high net-infiltration rates (greater than 100 mm/year) are small, most of the total 
net-infiltration volume occurs from upland areas with net-infiltration rates less than 20 mm/year. 
The results for the mean monsoon climate scenario include an average precipitation rate 
of 300.5 mm/year, an average outflow rate of 5.1 mm/year, and an average net-infiltration rate 
of 8.6 mm/year over the net-infiltration model domain. Estimated net-infiltration rates along the 
crest of Yucca Mountain are in the range of 20 to 50 mm/year. Within the repository area, 
maximum net-infiltration rates of between 100 and 500 mm/year occur in the active channel of 
Drill Hole Wash and for outcrop locations of permeable, nonwelded tuffs in the middle section 
of the west-facing slope of Solitario Canyon. Relatively high net-infiltration rates 
of 100 to 500 mm/year also occur at many steep side-slope locations in the northern part of the 
UZ flow model area. In contrast, net infiltration at upland locations with thin soils underlain by 
bedrock with low bulk hydraulic conductivity is less than 1 mm/year. 
The results for the mean glacial-transition climate scenario, which were calculated as the 
arithmetic mean of the results for the lower and upper bound glacial-transition scenarios, include 
an average precipitation rate of 316.1 mm/year, an average snowfall depth of 45.5 mm/year, an 
average infiltrated surface-water run-on depth of 14.6 mm/ year, an average outflow rate 
of 1.5 mm/year, and an average net-infiltration rate of 13.4 mm/year for the net-infiltration 
model domain. In comparison, net infiltration is estimated to be 2.2 mm/year for the lower 
bound glacial-transition scenario and 24.6 mm/year for the upper bound glacial-transition 
scenario. The spatial distribution of estimated precipitation for the mean glacial-transition 
climate scenario indicates the reduced precipitation-elevation correlation specified in the model 
(relative to the present-day climate correlation), with a minimum precipitation rate of 
approximately 280 mm/year and a maximum rate of almost 400 mm/year. 
Net-infiltration estimates for all lower and mean climate scenarios are in general agreement with 
independent recharge estimates for precipitation rates of less than approximately 350 mm/year. 
The net-infiltration estimates for the upper bound glacial-transition and monsoon climates are 
low relative to the Maxey-Eakin recharge estimates (Maxey and Eakin 1950 [DIRS 100598]) 
obtained for precipitation rates of 400 to 450 mm/year. 
Although the paleoclimates are not identical to the estimated monsoon and glacial-transition 
future climates, results from the geochemistry analysis suggest that net-infiltration rates at Yucca 
Mountain are likely to be lower than the Maxey-Eakin recharge estimates for the higher 
elevation present-day analogs corresponding to the estimated average annual precipitation rates 
for the upper bound monsoon and glacial-transition future climates. Using the estimated 
duration of the present-day and future climate stages, the weighted average simulated 
net-infiltration rate for the next 10,000 years is 18 mm/year over the repository area 
and 16.4 mm/year over the area of the UZ flow model. These results indicate that the simulated 
net-infiltration rates are consistent with results obtained from chloride geochemistry analysis. 
8.2 LIMITATIONS AND UNCERTAINTIES 
Uncertainty in the precipitation and air-temperature characteristics of the estimated future 
climate stages were represented using lower and upper bound scenarios within each stage. 
Although a uniform distribution between the lower and upper bound monsoon and 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 8-4 November 2004 
glacial-transition climate scenarios was assumed for the development of the mean monsoon and 
glacial-transition climate scenarios, the distribution of precipitation and air temperature 
characteristics between the upper and lower bound climate scenarios is not known. In addition to 
assumptions used in defining the daily climate input for the nine climate scenarios, an important 
source of uncertainty in the net-infiltration estimates for all climate scenarios is the assumptions 
used in defining root-zone model coefficients. Other sources of model uncertainty include input 
parameters such as bedrock hydraulic conductivity, soil depth, and soil hydrologic properties. A 
primary limitation of the model is that it cannot be used to extrapolate beyond the 10,000 years 
that was used for estimates of climate scenarios using analogue sites. 
A more rigorous and physically based model of wind and terrain effects on snow redistribution 
and the snow pack energy balance was beyond the scope of this report. 
Based on the sources of model uncertainty described above and throughout the document, the 
results presented in this report cannot be interpreted as being exact, but instead, should be 
interpreted as a single realization of an output distribution that has not yet been fully quantified. 
Furthermore, based on knowledge of the sources of model uncertainty, the output distribution 
obtained from multiple stochastic realizations would define a relatively wide output distribution, 
as shown in the report Analysis of Infiltration Uncertainty (BSC 2003 [DIRS 165991], 
Figures 6-2, 6-3). 
Table 8-2 describes the uncertainties involved in the conceptual model and the results of 
evaluation of the net-infiltration rate using INFIL in this report. 
Table 8-2. Summary of Treatment of Uncertainties 
Uncertainties Identified Related Technical Issues 
Net-infiltration scenarios for a lower bound, a mean, and an upper bound 
climate stage represent uncertainty in the characterization of daily climate 
conditions for each climate stage, as well as potential climate variability 
within each climate stage (Section 1). 
The lower and upper bound scenarios are developed to account for 
uncertainty and variability in the characteristics of precipitation and air 
temperature for each estimated future climate stage (Section 6.9). 
The nine developed net infiltration are not intended to be representative of 
additional sources of model uncertainty (Section 8.2). 
Uncertainties from all sources in 
calibrated properties. 
Justification for the use of 
analogue site temperature model 
and the use of evapotranspiration 
model. 
Uncertainty in model inputs was not incorporated into the results 
developed in this analysis/model report (Section 6.2.2). 
Sources of uncertainty in the net-infiltration estimates for all climate 
scenarios are precipitation, potential evapotranspiration (climate 
dependent) and root-zone model coefficients, bedrock hydraulic 
conductivity, soil depth, and soil hydrologic properties (not necessarily 
climate dependent) (Section 8.2). 
Uncertainties from all sources in 
calibrated properties. 
Method of model comparison used in this report provides a qualitative 
assessment of modeling results, and it does not quantify the model 
uncertainty (due, in part, to the unknown accuracy of the independent 
results). A comparison with independent results does not necessarily 
validate (or invalidate) the accuracy of the model in representing the 
physical processes developed in the conceptual model (Subsection 6.3.4). 
Use of calibrated properties from 
modern climate to forecast flow for 
future climate conditions. 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 8-5 November 2004 
Table 8-2. Summary of Treatment of Uncertainties (Continued) 
Uncertainties Identified Related Technical Issues 
Net infiltration is simulated using the climate input developed from the 
records at each analogue site, and the results are averaged to obtain an 
estimate of net infiltration for a given climate scenario (Section 6.9.1). 
Justification for the use of 
analogue site temperature model 
and the use of evapotranspiration 
model. 
The fact that UZ processes are non-linear is not relevant to the concept of 
reducing uncertainty in model results. (Section 6.9.3). 
Nonlinear Richards equation vs. 
water-balance plug glow model 
over the repository where there is 
thin soil. 
Although a uniform distribution between the lower and upper bound 
monsoon and glacial-transition climate scenarios was assumed at the time 
of this analysis for the development of the mean monsoon and glacialtransition 
climate scenarios, the distribution of precipitation and air 
temperature characteristics between the upper and lower bound climate 
scenarios is not known (Section 8.2). 
The mean scenario was developed using an arithmetic mean without a 
distribution, so that a method to evaluate the uncertainty in the developed 
mean climate scenario was required. 
Justification for the use of 
analogue site temperature model 
and the use of evapotranspiration 
model. 
Analysis of model sensitivity to uncertainty in input parameters and the 
impact of parameter accuracy on model results was not complete at the 
time of this analysis (Section 8.2). 
Monte Carlo methods. 
The results presented in this report cannot be interpreted as being exact 
but instead should be interpreted as a single realization of an output 
distribution that has not yet been fully quantified. Potential users of the 
results presented in this report need to be fully aware that the level of 
uncertainty associated with these results is relatively high and this must be 
considered in any application of these results (Section 8.2). 
Uncertainties from all sources in 
calibrated properties. 
Model uncertainty is addressed using parameter input distributions in the net-infiltration model 
uncertainty analysis (BSC 2003 [DIRS 165991]). Input distributions were developed 
for 12 selected parameters (selected as being potentially significant) from those included in the 
model control file. The parameters included in the model control file are discussed in 
Section 6.3.3. The uncertainty report (BSC 2003 [DIRS 165991]) should be consulted for 
complete documentation of these parameters and the assigned uncertainty distributions. The 
analysis is summarized below. 
A rigorous sensitivity analysis for net infiltration was addressed in Analysis of Infiltration 
Uncertainty (BSC 2003 [DIRS 165991]) using 100 realizations (vectors) of a selected set 
of 12 uncertain input parameters for the glacial-transition climate stage considered in TSPA. 
The analysis resulted in a distribution of spatially averaged infiltration rates for the glacialtransition 
climate stage over a region approximating what is referred to as the loaded repository 
footprint. A sensitivity analysis was performed using the results of the glacial-transition climate 
to examine the importance of the sampled (uncertain) input parameters used for the uncertainty 
analysis. A histogram of average annual infiltration for the glacial-transition climate scenario is 
shown in Figure 6-5 in Analysis of Infiltration Uncertainty (BSC 2003 [DIRS 165991]). The 
four input parameters that were found to have significant effects on the infiltration rate 
uncertainty are soil depth, precipitation, potential evapotranspiration, and bulk bedrock saturated 
hydraulic conductivity. These results and levels of uncertainty are consistent with the conceptual 
model of net infiltration presented in this report. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 8-6 November 2004 
The results from the 100 realizations (without contingency area) include a mean net-infiltration 
rate of 27.0 mm/year, a median value of 20.0 mm/year, and a standard deviation of 17.7 mm/year 
(BSC 2003 [DIRS 165991]). These results are consistent with the results presented in 
Table 6-19 for estimated net-infiltration rates over the area of the repository. The coefficient of 
variation for the results obtained from the uncertainty analysis is much higher than the apparent 
coefficient of variation implied by the results obtained for the upper and lower bound climate 
scenarios. However, this is not an inconsistency because the net-infiltration estimates presented 
in this model report are only intended to be representative of uncertainty and variability in terms 
of climate input and, to a lesser degree, vegetation characteristics. The upper and lower bound 
net-infiltration estimates (in this report) do not necessarily include additional sources of model 
uncertainty, such as uncertainty in soil and bedrock properties. 
The skewed output distribution obtained in the uncertainty analysis indicates a potential 
inconsistency with the uniform distributions assumed in this model report for developing the 
results for the mean monsoon and glacial-transition climate scenarios. As discussed in Section 6, 
the assumption of uniform distributions was preliminary because the results from the uncertainty 
analysis were not available at the time that the net-infiltration estimates were required for the 
TSPA schedule. The distributions of the net-infiltration rates in the uncertainty analysis 
(BSC 2003 [DIRS 165991]) were used to calculate weighting coefficients that are applied to the 
net-infiltration maps for the three climate scenarios in each climate stage of the simulations for 
TSPA. The weighting factors were determined to be 0.24, 0.41, and 0.35 (repository footprint 
without contingency area) for the lower bound, mean, and upper bound climate scenarios in each 
climate stage (BSC 2003 [DIRS 165991], DTN: SN0308T0503100.008). A general conclusion 
that can be made is that the additional sources of model uncertainty, in particular, soil and 
bedrock properties, tend to increase rather than decrease uncertainty in net-infiltration estimates. 
8.3 HOW THE ACCEPTANCE CRITERIA ARE ADDRESSED 
The following information describes how this model report addresses the acceptance criteria in 
the Yucca Mountain Review Plan (NRC 2003 [DIRS 163274], Section 2.2.1.3.5.3). Only those 
acceptance criteria that are applicable to this report (Section 4.2) are discussed. In most cases, 
the applicable acceptance criteria are not addressed solely by this report; rather, the acceptance 
criteria are fully addressed when this report is considered in conjunction with other analysis and 
model reports that describe infiltration in the UZ. Where a subcriterion includes several 
components, only some of those components may be addressed. How these components are 
addressed is summarized below. 
Acceptance Criteria from Section 2.2.1.3.5, Climate and Infiltration. 
Acceptance Criterion 1: System Description and Model Integration Are Adequate. 
Subcriterion (1): The model described by this report adequately incorporates Yucca Mountain 
physical phenomena, and couplings, and uses consistent and appropriate assumptions from 
reports and models involving long term climate and site characteristics (Sections 6.5 
through 6.9). 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 8-7 November 2004 
Subcriterion (2): The aspects of geology, hydrology, physical phenomena, and couplings, that 
may affect climate and net infiltration such as topographic parameters, soil depth, bedrock 
geometry, bedrock hydraulic conductivity, surface-water flow-routing parameters, root-zone 
model parameters, and daily climate parameters are adequately considered in 
Sections 6.2 through 6.11. Conditions and assumptions identified in Section 5 are consistently 
applied throughout this model and downstream model reports. 
Subcriterion (3): The assumptions, technical bases, data, and models described in this report are 
appropriate and consistent with downstream model reports applying the net-infiltration results to 
flow in the UZ and SZ. Infiltration as a function of climate scenario is used as boundary 
conditions for some UZ model reports. The descriptions and technical bases noted in 
Sections 6.1 through 6.11 provide transparent and traceable support for the abstraction of 
net-infiltration and consistently apply the results of climate projections. 
Subcriterion (5): Sections 6.4.2 and 6.5 through 6.7 describe the temporal considerations of 
climatic conditions (including daily precipitation and average daily air temperature) and spatial 
variabilities (terrain, soil and vegetation) that are input to the model. Stochastic representations 
of precipitation and daily input are used to simulate infiltration that occurs in particular temporal 
and spatial patterns. 
Subcriterion (6): Parameters used in this model reflect appropriate average values for those 
parameters that are not likely to change over time (geological characteristics) and vary those 
parameters that would be expected to change (drainage characteristics, soil depth, vegetation 
type, precipitation amounts, temperature, etc.), (Sections 6.5 through 6.11). These parameters 
are appropriate for the model discretization as indicated by the calibration and validation 
processes described in Sections 6.8 and 7., respectively. 
Subcriterion (8): This report was developed in accordance with the Quality Assurance 
Requirements and Description (QARD) (DOE 2004 [DIRS 171539]), which commits to 
NUREG1297 (Altman et al. 1988 [DIRS 103597]) and NUREG1298 (Altman 
et al. 1988 [DIRS 103750]). Moreover, compliance with the DOE procedures, which are 
designed to ensure compliance with the QARD, is verified by audits by quality assurance and 
other oversight activities. Accordingly, the guidance in NUREGs 1297 and 1298 has been 
followed as appropriate. 
Acceptance Criterion 2: Data Are Sufficient for Model Justification. 
Subcriterion (1): Section 6.9.1 describes the assumptions used for climate and hydrology as 
incorporated in this model. These values are adequately justified as they are derived from 
projections (BSC 2004 [DIRS 170002]). Sections 6.4 and 6.9 provide adequate and detailed 
descriptions on how the data were used, interpreted, and synthesized into parameters as applied 
by this model using upper-bound, median, and lower-bound ranges of climatic conditions for 
each of the three potential current and future climate stages. 
Subcriterion (2): This model was calibrated by a manual process described in 
Section 6.8 involving adjusting model parameters (over 100 sets of model parameters were used) 
to reproduce present-day infiltration values within a predetermined range of accuracy. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 8-8 November 2004 
Present-day input information included site-specific climatic, surface, and subsurface 
information. Values compared were flux from neutron logging data and previous-model stream 
discharge data (Section 6.8.4). 
Subcriterion (3): The effects of fracture properties, fracture distributions, matrix properties, 
heterogeneities, time-varying boundary conditions, evapotranspiration, depth of soil cover, and 
surface-water runoff and run-on are conservatively considered in Sections 6.4 through 6.6. An 
example of a conservative assumption is where the soil depth across the model domain was 
reduced by 50 percent (e.g., the maximum soil depth was reduced to 3 m from 6 m), which adds 
conservatism to the model (Section 6.1.5). Therefore, net infiltration is not underestimated by 
this model. 
Subcriterion (4): Uncertainty in the precipitation and air-temperature characteristics of future 
climate stages was represented through the upper and lower bound scenarios. Uncertainty in 
other parameters, as well as the predicted effects on their net infiltration, is developed in the 
uncertainty analysis (BSC 2003 [DIRS 165991]). 
Subcriterion (5): Approved quality assurance procedures identified in the TWP (BSC 2004 
[DIRS 169654], Section 4) have been used to conduct and document the activities described in 
this model report (Section 2). 
Subcriterion (6): The current model represents reasonably complete conceptual and mathematical 
models of net infiltration because they have evolved from previous models as discussed in 
Section 6.8. The conceptual model is described in Section 6.1, its numerical representation in 
Section 6.2, and the modeling procedure, components, processes, and grid geometry in 
Sections 6.3, 6.4, and 6.5. The conceptual and mathematical models are consistent as discussed 
in Sections 6.1 through 6.5. The completeness of the current model is demonstrated by its 
calibration against site characteristics and comparison against previous model versions and other 
discarded models in Sections 6.8 and 7. 
Acceptance Criterion 3, Data Uncertainty is Characterized and Propagated Through the 
Model Abstraction. 
Subcriterion (1): Sources of data incorporated in the models are listed in Section 4.1. Parameter 
values, assumed ranges, probability distributions, and bounding assumptions for the model 
geometry, topographic parameters, root zone depth and layering, and climate assumptions are 
technically defensible and account for uncertainties as noted in Sections 6.5 through 6.11. This 
is because the values and assumptions are representative of the Yucca Mountain data, are chosen 
to represent a high estimate of net-infiltration, which therefore likely overestimates net 
infiltration, and are calibrated to present-day climate and infiltration measurements. Therefore, 
these values and assumptions do not result in an under-representation of the risk estimate. 
Subcriterion (2): Adequate technical bases for parameter values, assumed ranges, probability 
distributions, and bounding assumptions for the model geometry, topographic parameters, root 
zone depth and layering, and climate assumptions are provided in Sections 6.5 through 6.11. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 8-9 November 2004 
Subcriterion (4): Section 6.9 describes how model parameters were adjusted for future wetter 
climates to represent an assumed increase in soil depth, root density, root zone depth, and 
vegetation cover. 
Acceptance Criterion 4, Model Uncertainty is Characterized and Propagated Through the 
Model Abstraction. 
Subcriterion (1): Alternative modeling approaches are represented in the previous models that 
were considered and either used or discarded due to over-conservatism of the approach (e.g. no 
generation of stream flow) or accuracy of results (Section 6.8). Results and limitations of 
alternative approaches are discussed in Section 6.8. 
Subcriterion (3): Conceptual model uncertainty is consistent with available site characterization 
data (soil depth, bedrock hydraulic conductivity, and soil hydrologic properties), laboratory 
experiments (saturated hydraulic conductivity of the fracture fill material), field measurements, 
natural analogue information (chlorine mass balance estimates), and process-level modeling 
studies (climate change studies) as discussed in Sections 6.6 through 6.10 and 8. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 8-10 November 2004 
INTENTIONALLY LEFT BLANK 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 9-1 November 2004 
9. INPUTS AND REFERENCES 
The following is a list of the references cited in this document. Column 2 represents the unique 
six digit numerical identifier (the Document Input Reference System number), which is placed in 
the text following the reference callout (e.g., BSC 2002 [DIRS 160819]). The purpose of these 
numbers is to assist in locating a specific reference. Within the reference list, multiple sources 
by the same author (e.g., BSC 2002) are sorted alphabetically by title. 
9.1 DOCUMENTS CITED 
Altman, W.D.; Donnelly, J.P.; and Kennedy, J.E. 1988. Peer Review for High-Level 
Nuclear Waste Repositories: Generic Technical Position. NUREG-1297. 
Washington, D.C.: U.S. Nuclear Regulatory Commission. TIC: 200651. 
103597 
Altman, W.D.; Donnelly, J.P.; and Kennedy, J.E. 1988. Qualification of Existing 
Data for High-Level Nuclear Waste Repositories: Generic Technical Position. 
NUREG-1298. Washington, D.C.: U.S. Nuclear Regulatory Commission. 
TIC: 200652. 
103750 
BSC 2003. Analysis of Infiltration Uncertainty. ANL-NBS-HS-000027 REV 01. 
Las Vegas, Nevada: Bechtel SAIC Company. ACC: DOC.20031030.0003. 
165991 
BSC 2003. Total System Performance Assessment-License Application Methods and 
Approach. TDR-WIS-PA-000006 REV 00 ICN 01. Las Vegas, Nevada: Bechtel 
SAIC Company. ACC: DOC.20031215.0001. 
166296 
BSC 2004. Calibrated Properties Model. MDL-NBS-HS-000003, Rev. 02. 
Las Vegas, Nevada: Bechtel SAIC Company. 
169857 
BSC (Bechtel SAIC Company) 2004. Features, Events, and Processes in UZ Flow 
and Transport. ANL-NBS-MD-000001, Rev. 03. Las Vegas, Nevada: Bechtel SAIC 
Company. 
170012 
BSC 2004. Future Climate Analysis. ANL-NBS-GS-000008 REV 01. Las Vegas, 
Nevada: Bechtel SAIC Company. ACC: DOC.20040908.0005. 
170002 
BSC 2004. Q-List. 000-30R-MGR0-00500-000-000 REV 00. Las Vegas, Nevada: 
Bechtel SAIC Company. ACC: ENG.20040721.0007. 
168361 
BSC 2004. Saturated Zone Site-Scale Flow Model. MDL-NBS-HS-000011, Rev. 
02. Las Vegas, Nevada: Bechtel SAIC Company. 
170037 
BSC 2004. Technical Work Plan for: Unsaturated Zone Flow Analysis and Model 
Report Integration. TWP-MGR-HS-000001 REV 00. Las Vegas, Nevada: Bechtel 
SAIC Company. ACC: DOC.20040701.0005. 
169654
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 9-2 November 2004 
BSC 2004. Total System Performance Assessment (TSPA) Model/Analysis for the 
License Application. MDL-WIS-PA-000004, Rev. 00. Las Vegas, Nevada: Bechtel 
SAIC Company. 
168504 
BSC 2004. UZ Flow Models and Submodels. MDL-NBS-HS-000006, Rev. 02. 
Las Vegas, Nevada: Bechtel SAIC Company. 
169861 
BSC 2004. Yucca Mountain Site Description. TDR-CRW-GS-000001 REV 02 
ICN 01. Two volumes. Las Vegas, Nevada: Bechtel SAIC Company. 
ACC: DOC.20040504.0008; Replacement for 168845. 
169734 
Buesch, D.C.; Spengler, R.W.; Moyer, T.C.; and Geslin, J.K. 1996. Proposed 
Stratigraphic Nomenclature and Macroscopic Identification of Lithostratigraphic 
Units of the Paintbrush Group Exposed at Yucca Mountain, Nevada. Open-File 
Report 94-469. Denver, Colorado: U.S. Geological Survey. 
ACC: MOL.19970205.0061. 
100106 
Campbell, G.S. 1977. An Introduction to Environmental Biophysics. New York, 
New York: Springer-Verlag. TIC: 238256. 
124856 
Campbell, G.S. 1985. Soil Physics with BASIC Transport Models for Soil-Plant 
Systems. Developments in Soil Science 14. Amsterdam, The Netherlands: Elsevier. 
TIC: 214477. 
100565 
Canori, G.F. and Leitner, M.M. 2003. Project Requirements Document. 
TER-MGR-MD-000001 REV 02. Las Vegas, Nevada: Bechtel SAIC Company. 
ACC: DOC.20031222.0006. 
166275 
Chu, M.S.Y, and Dyer, J.R. 2003. Licensing, Design, and Construction of the 
Yucca Mountain Repository. The Bridge, 33, (3), 18-32. Washington, D.C.: 
National Academy of Engineering. TIC: 256528. Copyright Requested 
171661 
CRWMS (Civilian Radioactive Waste Management System) M&O (Management and 
Operating Contractor) 1997. Unsaturated Zone Flow Model Expert Elicitation 
Project. Las Vegas, Nevada: CRWMS M&O. ACC: MOL.19971009.0582. 
100335 
Day, W.C.; Potter, C.J.; Sweetkind, D.S.; Dickerson, R.P.; and San Juan, C.A. 1998. 
Bedrock Geologic Map of the Central Block Area, Yucca Mountain, Nye County, 
Nevada. Miscellaneous Investigations Series Map I-2601. Washington, D.C.: U.S. 
Geological Survey. ACC: MOL.19980611.0339. 
101557 
Dettinger, M.D. 1989. Reconnaissance Estimates of Natural Recharge to Desert 
Basins in Nevada, U.S.A., by Using Chloride-Balance Calculations. Journal of 
Hydrology, 106, 55-78. Amsterdam, The Netherlands: Elsevier. TIC: 236967. 
105384
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 9-3 November 2004 
DOE (U.S. Department of Energy) 2001. Nevada Test Site, 2000 Waste 
Management Monitoring Report Area 3 and Area 5 Radioactive Waste Management 
Sites. DOE/NV/11718--582. Las Vegas, Nevada: U.S. Department of Energy, 
National Nuclear Security Administration, Nevada Operations Office. 
ACC: MOL.20040820.0136. 
171281 
DOE 2004. Quality Assurance Requirements and Description. DOE/RW-0333P, 
Rev. 16. Washington, D.C.: U.S. Department of Energy, Office of Civilian 
Radioactive Waste Management. ACC: DOC.20040907.0002. 
171539 
Flint, A.L. and Childs, S.W. 1984. Physical Properties of Rock Fragments and 
Their Effect on Available Water in Skeletal Soils. Chapter 10 of Erosion and 
Productivity of Soils Containing Rock Fragments. SSSA Special Publication #13. 
Madison, Wisconsin: Soil Science Society of America. TIC: 247223. 
147279 
Flint, A.L. and Childs, S.W. 1987. Calculation of Solar Radiation in Mountainous 
Terrain. Agricultural and Forest Meteorology, 40, (3), 233-249. Amsterdam, 
The Netherlands: Elsevier. TIC: 225242. 
100571 
Flint, A.L. and Childs, S.W. 1991. Use of the Priestley-Taylor Evaporation 
Equation for Soil Water Limited Conditions in a Small Forest Clearcut. Agricultural 
and Forest Meteorology, 56, (3-4), 247-260. Amsterdam, The Netherlands: Elsevier. 
TIC: 241865. 
124946 
Flint, A.L.; Flint, L.E.; Bodvarsson, G.S.; Kwicklis, E.M.; and Fabryka-Martin, J. 
2001. Evolution of the Conceptual Model of Unsaturated Zone Hydrology at Yucca 
Mountain, Nevada. Journal of Hydrology, 247, ([1-2]), 1-30. [New York, 
New York]: Elsevier. TIC: 250932. 
156351 
Flint, A.L.; Flint, L.E.; Kwicklis, E.M.; Fabryka-Martin, J.T.; and Bodvarsson, G.S. 
2002. Estimating Recharge at Yucca Mountain, Nevada, USA: Comparison of 
Methods. Hydrogeology Journal, 10, (1), 180-204. Berlin, Germany: 
Springer-Verlag. TIC: 251765. 
157411 
Flint, A.L.; Hevesi, J.A.; and Flint, L.E. 1996. Conceptual and Numerical Model of 
Infiltration for the Yucca Mountain Area, Nevada. Milestone 3GUI623M. Denver, 
Colorado: U.S. Geological Survey. ACC: MOL.19970409.0087. 
100147 
Flint, L.E. 1998. Characterization of Hydrogeologic Units Using Matrix Properties, 
Yucca Mountain, Nevada. Water-Resources Investigations Report 97-4243. Denver, 
Colorado: U.S. Geological Survey. ACC: MOL.19980429.0512. 
100033 
Flint, L.E. and Flint, A.L. 1995. Shallow Infiltration Processes at Yucca Mountain, 
NevadaNeutron Logging Data 1984-93. Water-Resources Investigations Report 
95-4035. Denver, Colorado: U.S. Geological Survey. ACC: MOL.19960924.0577. 
100394
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MDL-NBS-HS-000023 REV 00 9-4 November 2004 
Freeze, R.A. and Cherry, J.A. 1979. Groundwater. Englewood Cliffs, New Jersey: 
Prentice-Hall. TIC: 217571. 
101173 
French, R.H. 1983. Precipitation in Southern Nevada. Journal of Hydraulic 
Engineering, 109, (7), 1023-1036. New York, New York: American Society of Civil 
Engineers. TIC: 238300. 
125313 
Hanks, R.J.; Gardner, H.R.; and Fairbourn, M.L. 1967. Evaporation of Water from 
Soils as Influenced by Drying with Wind or Radiation. Soil Science Society of 
America Proceedings, 31, (5), 593-598. Madison, Wisconsin: Soil Science Society 
of America. TIC: 256519. 
171454 
Harrill, J.R. and Prudic, D.E. 1998. Aquifer Systems in the Great Basin Region of 
Nevada, Utah, and Adjacent States - Summary Report. Professional Paper 1409-A. 
Denver, Colorado: U.S. Geological Survey. TIC: 247432. 
149377 
Hatton, T. 1998. Catchment Scale Recharge Modelling. Part 4 of The Basics of 
Recharge and Discharge. Zhang, L., ed. Collingwood, Victoria, Australia: CSIRO 
Publishing. TIC: 247711. 
149476 
Hevesi, J.A. and Flint, A.L. 1998. Geostatistical Estimates of Future Recharge for 
the Death Valley Region. High-Level Radioactive Waste Management, Proceedings 
of the Eighth International Conference, Las Vegas, Nevada, May 11-14, 1998. 
Pages 173-177. La Grange Park, Illinois: American Nuclear Society. TIC: 237082. 
125323 
Hevesi, J.A.; Ambos, D.S.; and Flint, A.L. 1994. A Preliminary Characterization of 
the Spatial Variability of Precipitation at Yucca Mountain, Nevada. High Level 
Radioactive Waste Management, Proceedings of the Fifth Annual International 
Conference, Las Vegas, Nevada, May 22-26, 1994. 4, 2520-2529. La Grange Park, 
Illinois: American Nuclear Society. TIC: 210984. 
125315 
Hevesi, J.A.; Flint, A.L.; and Flint, L.E. 1994. Verification of a 1-Dimensional 
Model for Predicting Shallow Infiltration at Yucca Mountain. High Level 
Radioactive Waste Management, Proceedings of the Fifth Annual International 
Conference, Las Vegas, Nevada, May 22-26, 1994. 4, 2323-2332. La Grange Park, 
Illinois: American Nuclear Society. TIC: 210984. 
100582 
Hevesi, J.A.; Flint, A.L.; and Istok, J.D. 1992. Precipitation Estimation in 
Mountainous Terrain Using Multivariate Geostatistics. Part II: Isohyetal Maps. 
Journal of Applied Meteorology, 31, (7), 677-688. Boston, Massachusetts: 
American Meteorological Society. TIC: 225248. 
116809 
Jury, W.A.; Gardner, W.R.; and Gardner, W.H. 1991. Soil Physics. 5th Edition. 
New York, New York: John Wiley & Sons. TIC: 241000. 
102010
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MDL-NBS-HS-000023 REV 00 9-5 November 2004 
Kwicklis, E.M.; Thamir, F.; Healy, R.W.; and Hampson, D. 1998. Numerical 
Simulation of Air- and Water-Flow Experiments in a Block of Variably Saturated, 
Fractured Tuff from Yucca Mountain, Nevada. Water-Resources Investigations 
Report 97-4274. Denver, Colorado: U.S. Geological Survey. 
ACC: MOL.19981215.0103. 
102121 
Lichty, R.W. and McKinley, P.W. 1995. Estimates of Ground-Water Recharge 
Rates for Two Small Basins in Central Nevada. Water-Resources Investigations 
Report 94-4104. Denver, Colorado: U.S. Geological Survey. 
ACC: MOL.19960924.0524. 
100589 
Liu, H-H.; Haukwa, C.B.; Ahlers, C.F.; Bodvarsson, G.S.; Flint, A.L.; and Guertal, 
W.B. 2003. Modeling Flow and Transport in Unsaturated Fractured Rock: An 
Evaluation of the Continuum Approach. Journal of Contaminant Hydrology, 62-63, 
173-188. New York, New York: Elsevier. TIC: 254205. 
162470 
Maidment, D.R., ed. 1993. Handbook of Hydrology. New York, New York: 
McGraw-Hill. TIC: 236568. 
125317 
Maxey, G.B. and Eakin, T.E. 1950. Ground Water in White River Valley, White 
Pine, Nye, and Lincoln Counties, Nevada. Water Resources Bulletin No. 8. Carson 
City, Nevada: State of Nevada, Office of the State Engineer. TIC: 216819. 
100598 
McNaughton, K.G. and Spriggs, T.W. 1989. An Evaluation of the Priestley and 
Taylor Equation and the Complementary Relationship Using Results from a 
Mixed-Layer Model of the Convective Boundary Layer. Estimation of Areal 
Evapotranspiration, Proceedings of an International Workshop Held During the 
XIXth General Assembly of the International Union of Geodesy and Geophysics at 
Vancouver, British Columbia, Canada, 9-22 August, 1987. 177, 89-104. 
Wallingford, United Kingdom: International Association of Hydrological Sciences. 
TIC: 245925. 
117096 
Nichols, W.D. 1987. Geohydrology of the Unsaturated Zone at the Burial Site for 
Low-Level Radioactive Waste Near Beatty, Nye County, Nevada. Water-Supply 
Paper 2312. Denver, Colorado: U.S. Geological Survey. 
ACC: NNA.19920428.0023. 
101273 
NRC (U.S. Nuclear Regulatory Commission) 2003. Yucca Mountain Review Plan, 
Final Report. NUREG-1804, Rev. 2. Washington, D.C.: U.S. Nuclear Regulatory 
Commission, Office of Nuclear Material Safety and Safeguards. TIC: 254568. 
163274 
Priestley, C.H.B. and Taylor, R.J. 1972. On the Assessment of Surface Heat Flux 
and Evaporation Using Large-Scale Parameters. Monthly Weather Review, 100, (2), 
81-92. Washington, D.C.: U.S. Department of Commerce. TIC: 235941. 
125321
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MDL-NBS-HS-000023 REV 00 9-6 November 2004 
Savard, C.S. 1995. Selected Hydrologic Data from Fortymile Wash in the Yucca 
Mountain Area, Nevada, Water Year 1992. Open-File Report 94-317. Denver, 
Colorado: U.S. Geological Survey. ACC: MOL.19941208.0002. 
101289 
Sawyer, D.A.; Wahl, R.R.; Cole, J.C.; Minor, S.A.; Laczniak, R.J.; Warren, R.G.; 
Engle, C.M.; and Vega, R.G. 1995. Preliminary Digital Geological Map Database of 
the Nevada Test Site Area, Nevada. Open-File Report 95-0567. Denver, Colorado: 
U.S. Geological Survey. TIC: 232986. 
104580 
Scott, R.B. and Bonk, J. 1984. Preliminary Geologic Map of Yucca Mountain, Nye 
County, Nevada, with Geologic Sections. Open-File Report 84-494. Denver, 
Colorado: U.S. Geological Survey. ACC: HQS.19880517.1443. 
104181 
Shevenell, L. 1996. Statewide Potential Evapotranspiration Maps for Nevada. 
Report 48. Reno, Nevada: Nevada Bureau of Mines and Geology. 
ACC: MOL.20040820.0138. 
171280 
Thompson, R.S.; Anderson, K.H.; and Bartlein, P.J. 1999. Quantitative 
Paleoclimatic Reconstructions from Late Pleistocene Plant Macrofossils of the Yucca 
Mountain Region. Open-File Report 99-338. Denver, Colorado: U.S. Geological 
Survey. ACC: MOL.19991015.0296. 
109470 
USGS (U.S. Geological Survey) 2001. INFIL V2.0, Validation Test Report. 
SDN: 10307-VTR-2.0-00. Las Vegas, Nevada: U.S. Department of Energy, 
Yucca Mountain Site Characterization Office. ACC: MOL.20011023.0171. 
171197 
USGS 2003. Simulation of Net Infiltration for Modern and Potential Future 
Climates. ANL-NBS-HS-000032 REV 00 ICN 02 Errata 002. Denver, Colorado: 
U.S. Geological Survey. ACC: MOL.20011119.0334; DOC.20031014.0004; 
DOC.20031015.0001. 
166518 
Winograd, I.J. 1981. Radioactive Waste Disposal in Thick Unsaturated Zones. 
Science, 212, (4502), 1457-1464. Washington, D.C.: American Association for the 
Advancement of Science. TIC: 217258. 
100019 
Winograd, I.J. and Thordarson, W. 1975. Hydrogeologic and Hydrochemical 
Framework, South-Central Great Basin, Nevada-California, with Special Reference to 
the Nevada Test Site. Geological Survey Professional Paper 712-C. Washington, 
D.C.: United States Government Printing Office. ACC: NNA.19870406.0201. 
101167 
9.2 CODES, STANDARDS, REGULATIONS, AND PROCEDURES 
10 CFR 63. Energy: Disposal of High-Level Radioactive Wastes in a Geologic 
Repository at Yucca Mountain, Nevada. Readily available. 
156605
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 9-7 November 2004 
AP-2.22Q, Rev. 1, ICN 1. Classification Analyses and Maintenance of the Q-List. 
Washington, D.C.: U.S. Department of Energy, Office of Civilian Radioactive Waste 
Management. ACC: DOC.20040714.0002. 
AP-2.27Q, Rev. 1, ICN 4. Planning for Science Activities. Washington, D.C.: U.S. 
Department of Energy, Office of Civilian Radioactive Waste Management. 
ACC: DOC.20040610.0006. 
AP-3.15Q, Rev. 4, ICN 5. Managing Technical Product Inputs. Washington, D.C.: 
U.S. Department of Energy, Office of Civilian Radioactive Waste Management. 
ACC: DOC.20040812.0004. 
AP-SI.1Q, Rev. 2, ICN 4. Software Management. Washington, D.C.: U.S. 
Department of Energy, Office of Civilian Radioactive Waste Management. 
ACC: MOL.20000223.0508. 
AP-SIII.2Q, Rev. 1, ICN 2. Qualification of Unqualified Data. Washington, D.C.: 
U.S. Department of Energy, Office of Civilian Radioactive Waste Management. 
ACC: DOC.20040127.0008. 
AP-SIII.10Q, Rev. 2, ICN 7. Models. Washington, D.C.: U.S. Department of 
Energy, Office of Civilian Radioactive Waste Management. 
ACC: DOC.20040920.0002. 
AP-SV.1Q, Rev. 1, ICN 1. Control of Electronic Management of Information. 
Washington, D.C.: U.S. Department of Energy, Office of Civilian Radioactive Waste 
Management. ACC: DOC.20040308.0001. 
LP-SI.11Q-BSC, Rev. 0, ICN 1. Software Management. Washington, D.C.: U.S. 
Department of Energy, Office of Civilian Radioactive Waste Management. 
ACC: DOC.20041005.0008. 
LP-SI.14Q-BSC, Rev. 0, ICN 1. Independent Verification and Validation of Legacy 
Code. Washington, D.C.: U.S. Department of Energy, Office of Civilian 
Radioactive Waste Management. ACC: DOC.20040805.0006. 
9.2 SOURCE DATA, LISTED BY DATA TRACKING NUMBER 
GS000100001221.001. EarthInfo, Inc. Western US Meteorologic Station Weather 
Data - NCDC Summary of Day (West 1) and NCDC Summary of Day (West 2). 
Submittal date: 01/25/2000. 
146816 
GS000200001221.002. Precipitation Data for Nevada Test Site, 1957-1994, from Air 
Resources Laboratory, from National Oceanographic and Atmospheric 
Administration (NOAA) Precipitation Data. Submittal date: 02/29/2000. 
146277
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 9-8 November 2004 
GS000200001221.003. NAD27 Datum of USGS Digital Elevation Model from 
Topopah Spring West and Busted Butte 7.5 Minute Quadrangles. Submittal 
date: 02/18/2000. 
146278 
GS000208312111.001. Precipitation Data for May 3, 1989 through September 30, 
1994 from Weather Stations 1 and 3, Yucca Mountain, Nevada. Submittal 
date: 02/22/2000. 
147245 
GS000208312111.002. Air Temperature Data for Calendar Year 1992 from Weather 
Station 1 (Wx-1), Yucca Mountain, Nevada. Submittal date: 02/25/2000. 
147250 
GS000208312111.003. Precipitation Data for July 17, 1987 through May 2, 1989 
from Weather Stations 1 and 3, Yucca Mountain, Nevada. Submittal 
date: 03/01/2000. 
147247 
GS000300001221.009. Evapotranspiration Coefficients. Submittal 
date: 03/02/2000. 
147228 
GS000300001221.010. Preliminary Digital Geologic Map Database of the Nevada 
Test Site Area, Nevada by Sawyer and Wahl, 1995. Submittal date: 03/21/2000. 
147833 
GS000308315121.003. Meteorological Stations Selected to Represent Future 
Climate States at Yucca Mountain, Nevada. Submittal date: 03/14/2000. 
151139 
GS000408312231.003. Relative Humidity Calculated Porosity Measurements on 
Samples from Borehole USW SD-9 Used for Saturated Hydraulic Conductivity. 
Submittal date: 04/10/2000. 
149461 
GS000408312231.004. Data for Core Dried in RH Oven and 105C Oven for USW 
UZ-N31, UZ-N32, UZ-N33, UZ-N34, UZ-N35, UZ-N38, UZ-N58, UZ-N59, UE-25 
UZN#63 and USW UZ-N64; Data for Core Dried in 105C Oven Only for USW 
UZ-N11, UZ-N15, UZ-N16, UZ-N17, UZ-N27, UZ-N36 and UZ-N37. Submittal 
date: 04/28/2000. 
149582 
GS000508312231.005. UE-25 UZ#16 Pycnometer Data. Submittal 
date: 05/03/2000. 
153236 
GS000508312231.006. Physical Properties and Water Content from Borehole USW 
NRG-6, 3/19/94 to 3/27/95. Submittal date: 05/23/2000. 
153237 
GS000508312231.007. Physical Properties of Core Samples from Borehole USW 
UZ-14, from 03/09/94 to 07/11/94. Submittal date: 07/11/2002. 
163708 
GS010408312111.001. Site Meteorology Data for Weather Stations UE-25 WX 
Stations 1 through 5, 10/1/94 - 10/1/95, Part II. Submittal date: 04/24/2001. 
162978
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 9-9 November 2004 
GS031208312211.001. FY95 Laboratory Measurements of Physical Properties of 
Surficial Material at Yucca Mountain, Part II. Submittal date: 01/11/2004. 
171543 
GS920508312231.012. USW UZ-N54 and USW UZ-N55 Core Analysis: Bulk 
Density, Porosity, Particle Density and In Situ Saturation for Core Dried in 105C 
Oven. Submittal date: 05/14/1992. 
109001 
GS930108312231.006. USW UZ-N53 Core Analysis: Bulk Density, Porosity, 
Particle Density, and In-Situ Saturation for Core Dried in 105C Oven. Submittal 
date: 10/05/1992. 
108997 
GS940408312231.004. Core Analysis of Bulk Density, Porosity, Particle Density, 
and In-Situ Saturation for 3 Neutron Boreholes, USW UZ-N57, UZ-N61, and 
UZ-N62. Submittal date: 04/01/1994. 
109000 
GS940508312231.006. Core Analysis of Bulk Density, Porosity, Particle Density 
and In Situ Saturation for Borehole UE-25 UZ#16. Submittal date: 05/04/1994. 
107149 
GS940708312212.011. Volumetric Water Content from Neutron Moisture Meter 
Counts for 99 Boreholes from 5/3/89 or from the Time They Were Drilled Until 
12/31/93. Submittal date: 07/13/1994. 
107136 
GS941208312121.001. Surface-Water Discharge Data for the Yucca Mountain Area, 
Southern Nevada and Southern California, 1994 Water Year. Submittal 
date: 11/30/1994. 
107374 
GS941208312212.017. Subsurface Water Content at Yucca Mountain, 
Nevada  Neutron Logging Data for 1/1/94 thru FY94. Submittal date: 12/02/1994. 
107137 
GS950308312231.002. Laboratory Measurements of Core from USW SD-12 and 
Radial Boreholes. Submittal date: 03/02/1995. 
108990 
GS950308312231.003. UE-25 UZ#16 Pycnometer Data. Submittal 
date: 03/06/1995. 
149374 
GS950408312231.004. Physical Properties and Water Potentials of Core from 
Borehole USW SD-9. Submittal date: 03/01/1995. 
108986 
GS950608312231.008. Moisture Retention Data from Boreholes USW UZ-N27 and 
UE-25 UZ#16. Submittal date: 06/06/1995. 
144662 
GS950708312211.002. FY94 and FY95 Laboratory Measurements of Physical 
Properties of Surficial Materials at Yucca Mountain, Nevada. 
Submittal date: 07/18/1995. 
146874 
GS950708312211.003. Fracture/Fault Properties for Fast Pathways Model. 
Submittal date: 07/24/1995. 
146873
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 9-10 November 2004 
GS950808312212.001. Volumetric Water Content Calculated from Field Calibration 
Equations Using Neutron Counts from 97 Boreholes at Yucca Mountain from 1 Oct 
94 to 31 May 95. Submittal date: 08/01/1995. 
107139 
GS951108312231.009. Physical Properties, Water Content, and Water Potential for 
Borehole USW SD-7. Submittal date: 09/26/1995. 
108984 
GS951108312231.010. Physical Properties and Water Content for Borehole USW 
NRG-7/7A. Submittal date: 09/26/1995. 
108983 
GS951108312231.011. Physical Properties, Water Content, and Water Potential for 
Borehole USW UZ-7A. Submittal date: 09/26/1995. 
108992 
GS960108312111.001. Geostatistical Model for Estimating Precipitation and 
Recharge in the Yucca Mountain Region, Nevada - California. Submittal 
date: 01/23/1996. 
107131 
GS960108312211.002. Gravimetric and Volumetric Water Content and Rock 
Fragment Content of 31 Selected Sites at Yucca Mountain, NV: FY95 Laboratory 
Measurements of Physical Properties of Surficial Material at Yucca Mountain, 
Part III. Submittal date: 01/08/1996. 
149478 
GS960108312212.001. Volumetric Water Content Calculated from Field Calibration 
Equations Using Neutron Counts from 97 Boreholes at Yucca Mountain. Submittal 
date: 01/31/1996. 
107141 
GS960508312212.007. Estimated Distribution of Geomorphic Surfaces and Depth to 
Bedrock for the Southern Half of the Topopah Spring NW 7.5 Minute Quadrangle 
and the Entire Busted Butte 7.5 Minute Quadrangle. Submittal date: 04/21/1996. 
124829 
GS960508312212.008. Estimated Annual Shallow Infiltration at 84 Neutron Access 
Boreholes at Yucca Mountain, Nevada During the Water Years 1990 to 1995. 
Submittal date: 05/17/1996. 
122609 
GS960808312231.001. Water Permeability and Relative Humidity Calculated 
Porosity for Boreholes UE-25 UZ-16 and USW UZ-N27. 
Submittal date: 08/28/1996. 
108998 
GS960808312231.002. Relative Humidity Calculated Porosity Measurements on 
Samples from Borehole USW SD-9 Used for Saturated Hydraulic Conductivity. 
Submittal date: 08/28/1996. 
108988 
GS960808312231.003. Moisture Retention Data for Samples from Boreholes USW 
SD-7, USW SD-9, USW SD-12 and UE-25 UZ#16. Submittal date: 08/30/1996. 
147590
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 9-11 November 2004 
GS960808312231.004. Physical Properties, Water Content and Water Potential for 
Samples from Lower Depths in Boreholes USW SD- 7 and USW SD-12. 
Submittal date: 08/30/1996. 
108985 
GS960808312231.005. Water Permeability and Relative Humidity Calculated 
Porosity for Samples from Boreholes USW SD-7, USW SD-9, USW SD-12 and 
USW UZ-14. Submittal date: 08/30/1996. 
108995 
GS960908312121.001. Surface-Water Discharge Data for the Yucca Mountain Area, 
Southern Nevada and Southern California, 1995 Water Year. 
Submittal date: 10/10/1996. 
107375 
GS960908312211.003. Conceptual and Numerical Model of Infiltration at Yucca 
Mountain, Nevada. Submittal date: 09/12/1996. 
103775 
GS960908312211.004. Heat Dissipation Probe Data: Bleach Bone Ridge 
3/95 - 11/95. Submittal date: 09/19/1996. 
146872 
GS970108312111.001. FY96 Site Meteorology Data: Relative Humidity, 
Temperature, Wind Speed, Wind Direction, Net Solar Radiation and Barometric 
Pressure from Two Weather Stations in the Yucca Mountain Area, Oct. 1 - Dec. 3, 
1995. Submittal date: 01/15/1997. 
125899 
GS971208314221.003. Revised Bedrock Geologic Map of the Central Block Area, 
Yucca Mountain, Nevada. Submittal date: 12/30/1997. 
107128 
GS990408312231.001. Saturated Hydraulic Conductivity of Core from SD-9, 
2/27 - 3/27/95. Submittal date: 04/27/1999. 
148711 
MO0003COV00095.000. Coverage: Scotbons. Submittal date: 03/01/2000. 146848 
MO0109HYMXPROP.001. Matrix Hydrologic Properties Data. 
Submittal date: 09/17/2001. 
155989 
MO0407SEPFEPLA.000. LA FEP List. Submittal date: 07/20/2004. 170760 
SN0409T0507804.005. Input Permeabilities For The Submodel Denoted H104. 
Submittal date: 09/22/2004. 
171747 
SNSAND96081900.000. Flow Calculations for Yucca Mountain Groundwater 
Travel Time (GWTT-95). Submittal date: 12/17/1996. 
149482 
9.4 OUTPUT DATA, LISTED BY DATA TRACKING NUMBER 
GS000308311221.005. Net Infiltration Modeling Results for 3 Climate Scenarios 
FY99. Submittal date: 03/01/2000. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 9-12 November 2004 
GS000308311221.011. Template Files for Uncertainty Analyses. Submittal date: 
03/13/2000. 
GS000308311221.010. Preliminary Developed Daily Climate Data From Tule Lake, 
California Used for Infiltration Uncertainty Analysis. Submittal date: 03/07/2000. 
GS000399991221.002. Rainfall Runoff/Run-on 1999 Simulations. Submittal date: 
03/10/2000. 
GS000208311221.001. Yucca Mountain 1980-1995 Developed Daily Precipitation 
Record. Submittal date: 02/28/2000. 
GS000208311221.002. Preliminary Developed Daily Climate Data for Potential 
Future Monsoon and Glacial-Transition Climates Using Records from Selected 
Analog Sites. Submittal date: 02/28/2000. 
GS000308311221.004. Preliminary Geospatial Input Data for Infil V2.0 FY99. 
Submittal date: 03/01/2000. 
GS000308311221.006. Merged USGS Digital Elevation Model from Topopah 
Spring West and Busted Butte 7.5 DEMS. Submittal date: 03/02/2000. 
SN0407T0507804.001. Model Control Files For INFIL V A_2.A1, Submodel 
Denoted H104 Submittal date: 07/19/2004. 
SN0408T0507804.002. Model Control Files Of Streamflow Calibration For INFIL 
V 2.0, Submodel Denoted H104 Submittal date: 08/09/2004. 
SN0408T0507804.003. Output Flux Files Calculated Using INFIL V A_2.A1, 
Submodel Denoted H104. Submittal date: 08/17/2004. 
SN0408T0507804.004. Output Re-Calibration Files Calculated Using INFIL V 
A_2.A1 And INFIL V 2.0 (Daily Output Stream Flow Calibration Only) For The 
(2004) Submodel Denoted H104 Submittal date: 08/18/2004. 
9.5 SOFTWARE CODES 
SNL (Sandia National Laboratories) 2001. Software Code: Infil. VA_2.a1. DEC 
Alpha, VMS AXP V7.2-1. 10253-A_2.a1-00. 
147608 
USGS (U.S. Geological Survey) 2001. INFIL V2.0, Validation Test Report. SDN: 
10307-VTR-2.0-00. Las Vegas, Nevada: U.S. Department of Energy, Yucca 
Mountain Site Characterization Office. ACC: MOL.20011023.0171. 
171197 
USGS 1996. Software Code: MARKOV. V1.0. 10142-1.0-00. 147316 
USGS 1996. Software Code: PPTSIM. V1.0. 10143-1.0-00. 147317 
USGS 2001. Software Code: INFIL. V2.0. PC, Windows NT 4.0. 10307-2.0-00. 139422
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 November 2004 
APPENDIX A 
YUCCA MOUNTAIN 1980-95 DEVELOPED DAILY PRECIPITATION RECORD 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 November 2004 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 A-1 November 2004 
A1. STATEMENT OF INTENDED USE FOR THE DATA 
The purpose of these data is to provide a temporal record of precipitation at one point on Yucca 
Mountain for the time period 1980 through 1995. These data represent a point near the center of 
Yucca Mountain approximately 1400 m in elevation and will be used to spatially distribute 
precipitation over the site area using correlations with elevation in order to (1) calibrate the net 
infiltration model, and (2) develop net infiltration results for the modern climate scenarios, which 
are used as input for UZ ground-water flow and transport models for TSPA. 
A2. GENERAL INFORMATION PERTAINING TO THE DATA SET 
The climate input file used for model calibration, MOD3-PPT.DAT, is the same developed daily 
precipitation record that was used for calibration of the original 1996 (INFIL V1.0) net 
infiltration model for Yucca Mountain (Flint et al. 1996 [DIRS 100147, Figure 19], 
DTN: GS960908312211.003 [DIRS 103775]). The file, MOD3-PPT.DAT consists of daily 
precipitation estimates only and was developed using source data of daily precipitation records 
from 1980 through 1995. 
A. Source data (all data used is shown in Excel file, MOD3-PPT.xls) 
USGS Yucca Mountain precipitation data from weather stations WX1 and WX3. 
GS010408312111.001 [DIRS 162978] (1995 water year) 
GS970108312111.001 [DIRS 125899] (Oct. 1- Dec. 3, 1995) 
GS000208312111.003 [DIRS 147247] (1987-1989) 
GS000208312111.001 [DIRS 147245] (1989-1994) 
Nevada Test Site (NTS) precipitation data for stations 4JA, 40MN, Rock Valley, Cane 
Spring, Mid Valley and Tippipah Spring #2. These data are available in 
DTN: GS000200001221.002 [DIRS 146277]. 
National Weather Service (NWS) stations at Beatty 8N and Amargosa Farms, from the 
National Climate Data Center and available through EarthInfo (information provided 
in DTN: GS000100001221.001 [DIRS 146816]). 
B. Development of daily precipitation record 
The developed record of daily precipitation is only an approximate representation of 
actual conditions over the general location and ground surface elevation of the 
repository area. Daily precipitation estimates for 1988 through 1995 were developed 
using the mean of the data from the Yucca Mountain weather stations. For 1980 
through 1987, daily precipitation was estimated using a linear interpolation model and 
available precipitation records from the six NTS monitoring sites and the two NWS 
monitoring sites located near Yucca Mountain. The model was developed using linear 
regression of a weighted mean daily precipitation calculated from the eight stations 
against the mean calculated from the two USGS weather stations for the period 
July 17, 1987 through September 30, 1994 (this is the period for which the two sets of 
records overlapped). 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 A-2 November 2004 
Table A-1 is the developed data precipitation record for Yucca Mountain that was used 
directly as input for INFIL V2.0 (USGS 2000 [DIRS 139422]). There is an EXCEL 
spreadsheet used to generate the developed data that is available in 
DTN: GS000208311221.001, and an identical spreadsheet formatted to display the 
formulas that can be printed out as hard copies. 
Mod3-ppt1.xls: EXCEL spreadsheet used to perform calculations for developing 
mod3-ppt.dat, with values in cells shown. 
Mod3-ppt2.xls: EXCEL spreadsheet used to perform calculations for developing 
mod3-ppt.dat, with formulas in cells shown. 
A3. SPREADSHEET CALCULATIONS 
Calculations in the spreadsheet MOD3-PPT.xls are done following a series of steps outlined in 
the first sheet of the file, and reiterated here. 
Step 1: Average daily precipitation is calculated for USGS weather stations WX1 and WX3 for 
the period July 17, 1987 through September 30, 1994. For gaps in the record, a value of zero is 
estimated. 
Step 2: Average annual precipitation is calculated for the six NTS stations and two NWS 
stations for all records beginning on July 17, 1987 and ending on September 30, 1994. This 
period of time coincides with the period for which precipitation data is available for USGS 
weather stations WX1 and WX3 (either stations). For all eight stations, the ratio Bi =AAPo/AAPi 
is calculated, where AAPi = average annual precipitation for the period 
July 17, 1987 to July 30, 1994 for station i, and AAPo = mean average annual precipitation for 
USGS weather stations WX1 and WX3 (calculated in step 1), rounded to the nearest millimeter. 
The ratio is then used to scale the daily precipitation records for all eight stations 
using PPTi * = Bi(PPTi), where Bi is the scaling factor, PPTi is the original daily precipitation 
record for station i, and PPTi is the adjusted daily precipitation record. The scaling function is 
applied to all eight stations for January 1, 1980 through December 31, 1994. 
Step 3: An inverse-distance-squared interpolation is performed to estimate the mean daily 
precipitation for WX1 and WX3 for the period July 17, 1987  July 30, 1994. The inverse 
distance squared interpolation involves the calculation of a linear weighting factor based on the 
distance between locations. A central location on Yucca Mountain used with UTM coordinates 
of 548,553 m easting, 4,078,230 m northing. Equation A-1 is as follows: 
Weighting factori = (1/di
2)/(Si (1/(di i
2)) (Eq. A-1) 
where di is the distance of station i from the central location having the indicated coordinates. 
Station coordinates, calculated distances, and calculated weighting factors are listed in the 
spreadsheet. 
Step 4: The inverse distance squared model defined in Step 3 is used to calculate the daily 
precipitation for the location defined in Step 3. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 A-3 November 2004 
Step 5: A linear model, based on a regression of measured precipitation vs. the adjusted daily 
precipitation record (the inverse-distance-squared interpolated precipitation), is applied to the 
results of the inverse-distance-squared interpolation for the period January 1, 1980 through 
September 30, 1994 using Equation A-2: 
PPTYM = 0.946546 * ([(1/di
2)/Si (1/(di
2))] PPTi*)+0.0821 (Eq. A-2) 
where PPTYM is the estimated daily precipitation amount (to the nearest millimeter only) for the 
central location defined by the coordinates in Step 3, and PPTi* is the scaled daily precipitation 
amount for station i. The results of the linear model are used to define the Yucca Mountain daily 
precipitation estimates for January 1, 1980 through May 11, 1989 (file, mod3-ppt.day). The 
results of Step 1 (to the nearest millimeter only) are used to define the Yucca Mountain daily 
precipitation estimates for May 11, 1989 through October 1, 1995 (file, mod3-ppt.dat). 
Table A-1. Developed Data Precipitation Record for Yucca Mountain that was Used Directly as Input for 
INFIL V2.0 
Daily Daily Daily Daily Daily 
Day Precip- Day Precip- Day Precip- Day Precip- Day Precipof 
itation of itation of itation of itation of itation 
Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 
80 1 0 80 74 0 80 147 0 80 220 0 80 293 0 
80 2 0 80 75 0 80 148 0 80 221 0 80 294 0 
80 3 0 80 76 0 80 149 0 80 222 0 80 295 0 
80 4 0 80 77 0 80 150 0 80 223 0 80 296 0 
80 5 0 80 78 0 80 151 0 80 224 0 80 297 0 
80 6 0 80 79 0 80 152 0 80 225 0 80 298 0 
80 7 0 80 80 0 80 153 0 80 226 0 80 299 0 
80 8 0 80 81 0 80 154 0 80 227 0 80 300 0 
80 9 13 80 82 0 80 155 0 80 228 0 80 301 0 
80 10 0 80 83 0 80 156 0 80 229 0 80 302 0 
80 11 8 80 84 1 80 157 0 80 230 0 80 303 0 
80 12 0 80 85 0 80 158 0 80 231 0 80 304 0 
80 13 1 80 86 0 80 159 0 80 232 0 80 305 0 
80 14 0 80 87 0 80 160 0 80 233 0 80 306 0 
80 15 0 80 88 0 80 161 0 80 234 0 80 307 0 
80 16 0 80 89 0 80 162 0 80 235 0 80 308 0 
80 17 0 80 90 0 80 163 0 80 236 0 80 309 0 
80 18 6 80 91 0 80 164 0 80 237 0 80 310 0 
80 19 2 80 92 0 80 165 0 80 238 1 80 311 0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 A-4 November 2004 
Table A-1. Developed Data Precipitation Record for Yucca Mountain that was Used Directly as Input 
for INFIL V2.0 (Continued) 
Daily Daily Daily Daily Daily 
Day Precip- Day Precip- Day Precip- Day Precip- Day Precipof 
itation of itation of itation of itation of itation 
Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 
80 20 0 80 93 0 80 166 0 80 239 0 80 312 0 
80 21 0 80 94 0 80 167 0 80 240 0 80 313 0 
80 22 0 80 95 0 80 168 0 80 241 0 80 314 0 
80 23 0 80 96 0 80 169 0 80 242 0 80 315 0 
80 24 0 80 97 0 80 170 0 80 243 0 80 316 0 
80 25 0 80 98 0 80 171 0 80 244 0 80 317 1 
80 26 0 80 99 0 80 172 0 80 245 0 80 318 0 
80 27 0 80 100 0 80 173 0 80 246 0 80 319 0 
80 28 2 80 101 0 80 174 0 80 247 0 80 320 0 
80 29 11 80 102 0 80 175 0 80 248 0 80 321 0 
80 30 1 80 103 0 80 176 0 80 249 0 80 322 0 
80 31 0 80 104 0 80 177 0 80 250 0 80 323 0 
80 32 0 80 105 0 80 178 0 80 251 3 80 324 0 
80 33 0 80 106 0 80 179 0 80 252 4 80 325 0 
80 34 0 80 107 0 80 180 0 80 253 3 80 326 0 
80 35 0 80 108 0 80 181 0 80 254 0 80 327 0 
80 36 0 80 109 0 80 182 3 80 255 0 80 328 0 
80 37 0 80 110 0 80 183 6 80 256 0 80 329 0 
80 38 0 80 111 0 80 184 0 80 257 0 80 330 0 
80 39 0 80 112 0 80 185 0 80 258 0 80 331 0 
80 40 0 80 113 0 80 186 0 80 259 0 80 332 0 
80 41 0 80 114 1 80 187 0 80 260 0 80 333 0 
80 42 0 80 115 0 80 188 0 80 261 0 80 334 0 
80 43 0 80 116 0 80 189 0 80 262 0 80 335 0 
80 44 2 80 117 0 80 190 0 80 263 0 80 336 0 
80 45 12 80 118 0 80 191 0 80 264 0 80 337 0 
80 46 0 80 119 1 80 192 0 80 265 0 80 338 0 
80 47 8 80 120 3 80 193 0 80 266 0 80 339 0 
80 48 5 80 121 3 80 194 0 80 267 0 80 340 0 
80 49 1 80 122 8 80 195 0 80 268 0 80 341 0 
80 50 7 80 123 0 80 196 0 80 269 0 80 342 0 
80 51 0 80 124 0 80 197 0 80 270 0 80 343 0 
80 52 0 80 125 0 80 198 0 80 271 0 80 344 0 
80 53 0 80 126 0 80 199 0 80 272 0 80 345 0 
80 54 0 80 127 0 80 200 0 80 273 0 80 346 0 
80 55 0 80 128 0 80 201 0 80 274 0 80 347 0 
80 56 0 80 129 0 80 202 0 80 275 0 80 348 0 
80 57 0 80 130 0 80 203 0 80 276 0 80 349 0 
80 58 0 80 131 0 80 204 0 80 277 0 80 350 0 
80 59 0 80 132 0 80 205 2 80 278 0 80 351 0 
80 60 0 80 133 0 80 206 0 80 279 0 80 352 0 
80 61 0 80 134 0 80 207 0 80 280 0 80 353 0 
80 62 13 80 135 3 80 208 1 80 281 0 80 354 0 
80 63 10 80 136 0 80 209 0 80 282 0 80 355 0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 A-5 November 2004 
Table A-1. Developed Data Precipitation Record for Yucca Mountain that was Used Directly as Input 
for INFIL V2.0 (Continued) 
Daily Daily Daily Daily Daily 
Day Precip- Day Precip- Day Precip- Day Precip- Day Precipof 
itation of itation of itation of itation of itation 
Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 
80 64 0 80 137 0 80 210 0 80 283 0 80 356 0 
80 65 2 80 138 0 80 211 0 80 284 0 80 357 0 
80 66 8 80 139 0 80 212 1 80 285 0 80 358 0 
80 67 5 80 140 0 80 213 0 80 286 0 80 359 0 
80 68 0 80 141 0 80 214 0 80 287 0 80 360 0 
80 69 0 80 142 0 80 215 0 80 288 0 80 361 0 
80 70 0 80 143 0 80 216 0 80 289 0 80 362 0 
80 71 0 80 144 1 80 217 0 80 290 0 80 363 0 
80 72 0 80 145 0 80 218 0 80 291 0 80 364 0 
80 73 0 80 146 0 80 219 0 80 292 0 80 365 0 
80 366 0 
81 1 0 81 74 0 81 147 12 81 220 0 81 293 0 
81 2 0 81 75 0 81 148 0 81 221 0 81 294 0 
81 3 0 81 76 0 81 149 0 81 222 0 81 295 0 
81 4 0 81 77 0 81 150 0 81 223 1 81 296 0 
81 5 0 81 78 5 81 151 0 81 224 1 81 297 0 
81 6 0 81 79 2 81 152 0 81 225 0 81 298 0 
81 7 0 81 80 0 81 153 0 81 226 1 81 299 0 
81 8 0 81 81 0 81 154 0 81 227 0 81 300 0 
81 9 0 81 82 0 81 155 0 81 228 0 81 301 0 
81 10 0 81 83 0 81 156 0 81 229 0 81 302 0 
81 11 0 81 84 0 81 157 0 81 230 0 81 303 0 
81 12 0 81 85 2 81 158 0 81 231 0 81 304 0 
81 13 0 81 86 0 81 159 0 81 232 0 81 305 0 
81 14 0 81 87 0 81 160 0 81 233 0 81 306 0 
81 15 0 81 88 0 81 161 0 81 234 0 81 307 0 
81 16 0 81 89 0 81 162 0 81 235 0 81 308 0 
81 17 0 81 90 0 81 163 0 81 236 0 81 309 0 
81 18 0 81 91 0 81 164 0 81 237 0 81 310 0 
81 19 0 81 92 0 81 165 0 81 238 0 81 311 0 
81 20 0 81 93 0 81 166 0 81 239 0 81 312 0 
81 21 0 81 94 0 81 167 0 81 240 0 81 313 0 
81 22 0 81 95 0 81 168 0 81 241 0 81 314 0 
81 23 0 81 96 0 81 169 0 81 242 0 81 315 0 
81 24 0 81 97 0 81 170 0 81 243 0 81 316 0 
81 25 0 81 98 0 81 171 0 81 244 0 81 317 0 
81 26 0 81 99 0 81 172 0 81 245 0 81 318 0 
81 27 0 81 100 0 81 173 0 81 246 0 81 319 0 
81 28 5 81 101 0 81 174 0 81 247 0 81 320 0 
81 29 6 81 102 0 81 175 0 81 248 0 81 321 0 
81 30 0 81 103 0 81 176 0 81 249 1 81 322 0 
81 31 0 81 104 0 81 177 0 81 250 2 81 323 0 
81 32 0 81 105 0 81 178 0 81 251 5 81 324 0 
81 33 0 81 106 0 81 179 0 81 252 2 81 325 0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 A-6 November 2004 
Table A-1. Developed Data Precipitation Record for Yucca Mountain that was Used Directly as Input 
for INFIL V2.0 (Continued) 
Daily Daily Daily Daily Daily 
Day Precip- Day Precip- Day Precip- Day Precip- Day Precipof 
itation of itation of itation of itation of itation 
Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 
81 34 0 81 107 0 81 180 0 81 253 0 81 326 0 
81 35 0 81 108 2 81 181 0 81 254 0 81 327 0 
81 36 0 81 109 0 81 182 0 81 255 1 81 328 0 
81 37 0 81 110 0 81 183 0 81 256 0 81 329 0 
81 38 0 81 111 0 81 184 0 81 257 0 81 330 2 
81 39 1 81 112 0 81 185 0 81 258 0 81 331 2 
81 40 1 81 113 0 81 186 0 81 259 0 81 332 9 
81 41 0 81 114 0 81 187 0 81 260 0 81 333 3 
81 42 0 81 115 0 81 188 0 81 261 0 81 334 0 
81 43 0 81 116 0 81 189 0 81 262 0 81 335 0 
81 44 0 81 117 0 81 190 0 81 263 0 81 336 0 
81 45 0 81 118 0 81 191 0 81 264 0 81 337 0 
81 46 0 81 119 0 81 192 0 81 265 0 81 338 0 
81 47 0 81 120 0 81 193 0 81 266 0 81 339 0 
81 48 0 81 121 0 81 194 0 81 267 0 81 340 0 
81 49 0 81 122 0 81 195 0 81 268 0 81 341 0 
81 50 0 81 123 0 81 196 0 81 269 0 81 342 0 
81 51 0 81 124 0 81 197 0 81 270 0 81 343 0 
81 52 0 81 125 0 81 198 0 81 271 0 81 344 0 
81 53 0 81 126 0 81 199 0 81 272 0 81 345 0 
81 54 0 81 127 0 81 200 0 81 273 0 81 346 0 
81 55 0 81 128 0 81 201 0 81 274 0 81 347 0 
81 56 0 81 129 0 81 202 0 81 275 2 81 348 0 
81 57 2 81 130 0 81 203 0 81 276 0 81 349 0 
81 58 0 81 131 0 81 204 0 81 277 0 81 350 0 
81 59 0 81 132 0 81 205 0 81 278 0 81 351 0 
81 60 16 81 133 0 81 206 0 81 279 0 81 352 0 
81 61 5 81 134 1 81 207 0 81 280 0 81 353 0 
81 62 0 81 135 1 81 208 0 81 281 0 81 354 0 
81 63 0 81 136 0 81 209 0 81 282 0 81 355 0 
81 64 8 81 137 0 81 210 0 81 283 0 81 356 0 
81 65 2 81 138 0 81 211 0 81 284 0 81 357 0 
81 66 0 81 139 0 81 212 0 81 285 0 81 358 0 
81 67 0 81 140 0 81 213 0 81 286 0 81 359 0 
81 68 0 81 141 0 81 214 0 81 287 0 81 360 0 
81 69 0 81 142 0 81 215 0 81 288 0 81 361 0 
81 70 0 81 143 0 81 216 0 81 289 0 81 362 0 
81 71 0 81 144 0 81 217 0 81 290 0 81 363 0 
81 72 0 81 145 0 81 218 0 81 291 0 81 364 0 
81 73 0 81 146 1 81 219 0 81 292 0 81 365 0 
82 1 1 82 74 2 82 147 0 82 220 0 82 293 0 
82 2 0 82 75 0 82 148 0 82 221 0 82 294 0 
82 3 0 82 76 30 82 149 0 82 222 0 82 295 0 
82 4 0 82 77 7 82 150 0 82 223 0 82 296 0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 A-7 November 2004 
Table A-1. Developed Data Precipitation Record for Yucca Mountain that was Used Directly as Input 
for INFIL V2.0 (Continued) 
Daily Daily Daily Daily Daily 
Day Precip- Day Precip- Day Precip- Day Precip- Day Precipof 
itation of itation of itation of itation of itation 
Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 
82 5 2 82 78 1 82 151 0 82 224 2 82 297 0 
82 6 0 82 79 0 82 152 0 82 225 0 82 298 0 
82 7 0 82 80 0 82 153 0 82 226 0 82 299 1 
82 8 0 82 81 0 82 154 0 82 227 0 82 300 0 
82 9 0 82 82 0 82 155 0 82 228 0 82 301 0 
82 10 0 82 83 0 82 156 0 82 229 0 82 302 0 
82 11 0 82 84 0 82 157 0 82 230 2 82 303 1 
82 12 0 82 85 1 82 158 0 82 231 0 82 304 0 
82 13 0 82 86 0 82 159 0 82 232 0 82 305 0 
82 14 0 82 87 0 82 160 0 82 233 0 82 306 0 
82 15 0 82 88 0 82 161 0 82 234 3 82 307 0 
82 16 0 82 89 0 82 162 0 82 235 3 82 308 0 
82 17 0 82 90 0 82 163 0 82 236 1 82 309 0 
82 18 0 82 91 7 82 164 0 82 237 0 82 310 0 
82 19 0 82 92 0 82 165 0 82 238 0 82 311 0 
82 20 5 82 93 0 82 166 0 82 239 0 82 312 0 
82 21 1 82 94 0 82 167 0 82 240 0 82 313 7 
82 22 0 82 95 0 82 168 0 82 241 0 82 314 6 
82 23 0 82 96 0 82 169 2 82 242 0 82 315 0 
82 24 0 82 97 0 82 170 0 82 243 0 82 316 0 
82 25 0 82 98 0 82 171 0 82 244 0 82 317 0 
82 26 0 82 99 0 82 172 0 82 245 0 82 318 0 
82 27 0 82 100 0 82 173 0 82 246 0 82 319 0 
82 28 0 82 101 3 82 174 0 82 247 0 82 320 0 
82 29 0 82 102 0 82 175 0 82 248 0 82 321 0 
82 30 0 82 103 0 82 176 0 82 249 0 82 322 0 
82 31 0 82 104 0 82 177 0 82 250 0 82 323 0 
82 32 0 82 105 0 82 178 0 82 251 0 82 324 0 
82 33 0 82 106 0 82 179 0 82 252 1 82 325 0 
82 34 0 82 107 0 82 180 0 82 253 3 82 326 1 
82 35 0 82 108 0 82 181 0 82 254 1 82 327 1 
82 36 0 82 109 0 82 182 0 82 255 0 82 328 0 
82 37 0 82 110 0 82 183 0 82 256 0 82 329 0 
82 38 0 82 111 0 82 184 0 82 257 0 82 330 0 
82 39 0 82 112 0 82 185 0 82 258 0 82 331 0 
82 40 0 82 113 0 82 186 0 82 259 0 82 332 0 
82 41 5 82 114 0 82 187 0 82 260 0 82 333 0 
82 42 1 82 115 0 82 188 0 82 261 0 82 334 10 
82 43 0 82 116 0 82 189 0 82 262 0 82 335 0 
82 44 0 82 117 0 82 190 0 82 263 0 82 336 0 
82 45 0 82 118 0 82 191 0 82 264 0 82 337 0 
82 46 0 82 119 0 82 192 0 82 265 0 82 338 0 
82 47 0 82 120 0 82 193 0 82 266 0 82 339 0 
82 48 0 82 121 0 82 194 0 82 267 3 82 340 0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 A-8 November 2004 
Table A-1. Developed Data Precipitation Record for Yucca Mountain that was Used Directly as Input 
for INFIL V2.0 (Continued) 
Daily Daily Daily Daily Daily 
Day Precip- Day Precip- Day Precip- Day Precip- Day Precipof 
itation of itation of itation of itation of itation 
Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 
82 49 0 82 122 3 82 195 0 82 268 6 82 341 0 
82 50 0 82 123 2 82 196 0 82 269 2 82 342 0 
82 51 0 82 124 2 82 197 0 82 270 3 82 343 2 
82 52 0 82 125 0 82 198 0 82 271 0 82 344 1 
82 53 0 82 126 0 82 199 0 82 272 1 82 345 0 
82 54 0 82 127 0 82 200 0 82 273 0 82 346 0 
82 55 0 82 128 0 82 201 0 82 274 0 82 347 0 
82 56 0 82 129 5 82 202 0 82 275 0 82 348 0 
82 57 0 82 130 1 82 203 0 82 276 0 82 349 0 
82 58 0 82 131 0 82 204 0 82 277 0 82 350 0 
82 59 0 82 132 0 82 205 3 82 278 0 82 351 0 
82 60 0 82 133 0 82 206 0 82 279 0 82 352 0 
82 61 1 82 134 0 82 207 2 82 280 0 82 353 0 
82 62 0 82 135 0 82 208 6 82 281 0 82 354 0 
82 63 0 82 136 0 82 209 0 82 282 0 82 355 0 
82 64 0 82 137 0 82 210 0 82 283 0 82 356 6 
82 65 0 82 138 0 82 211 0 82 284 0 82 357 2 
82 66 0 82 139 0 82 212 0 82 285 0 82 358 0 
82 67 0 82 140 0 82 213 0 82 286 0 82 359 0 
82 68 0 82 141 0 82 214 0 82 287 0 82 360 0 
82 69 0 82 142 0 82 215 0 82 288 0 82 361 0 
82 70 0 82 143 0 82 216 0 82 289 0 82 362 0 
82 71 0 82 144 0 82 217 0 82 290 0 82 363 0 
82 72 0 82 145 0 82 218 0 82 291 0 82 364 0 
82 73 7 82 146 0 82 219 0 82 292 0 82 365 0 
83 1 0 83 74 0 83 147 0 83 220 0 83 293 0 
83 2 0 83 75 0 83 148 0 83 221 3 83 294 0 
83 3 0 83 76 0 83 149 0 83 222 5 83 295 0 
83 4 0 83 77 6 83 150 0 83 223 0 83 296 0 
83 5 0 83 78 0 83 151 0 83 224 0 83 297 0 
83 6 0 83 79 0 83 152 0 83 225 0 83 298 0 
83 7 0 83 80 15 83 153 0 83 226 0 83 299 0 
83 8 0 83 81 0 83 154 0 83 227 3 83 300 0 
83 9 0 83 82 0 83 155 0 83 228 8 83 301 0 
83 10 0 83 83 2 83 156 0 83 229 4 83 302 0 
83 11 0 83 84 0 83 157 0 83 230 58 83 303 0 
83 12 0 83 85 0 83 158 0 83 231 5 83 304 0 
83 13 0 83 86 0 83 159 0 83 232 0 83 305 0 
83 14 0 83 87 0 83 160 0 83 233 0 83 306 0 
83 15 0 83 88 0 83 161 0 83 234 0 83 307 0 
83 16 2 83 89 0 83 162 0 83 235 0 83 308 0 
83 17 1 83 90 0 83 163 0 83 236 0 83 309 0 
83 18 0 83 91 0 83 164 0 83 237 0 83 310 0 
83 19 3 83 92 2 83 165 0 83 238 0 83 311 0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 A-9 November 2004 
Table A-1. Developed Data Precipitation Record for Yucca Mountain that was Used Directly as Input 
for INFIL V2.0 (Continued) 
Daily Daily Daily Daily Daily 
Day Precip- Day Precip- Day Precip- Day Precip- Day Precipof 
itation of itation of itation of itation of itation 
Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 
83 20 0 83 93 2 83 166 0 83 239 0 83 312 0 
83 21 0 83 94 2 83 167 0 83 240 0 83 313 0 
83 22 2 83 95 0 83 168 0 83 241 0 83 314 0 
83 23 1 83 96 0 83 169 0 83 242 0 83 315 0 
83 24 6 83 97 0 83 170 0 83 243 0 83 316 0 
83 25 0 83 98 0 83 171 0 83 244 0 83 317 0 
83 26 0 83 99 0 83 172 0 83 245 0 83 318 0 
83 27 6 83 100 0 83 173 0 83 246 0 83 319 0 
83 28 0 83 101 3 83 174 0 83 247 0 83 320 0 
83 29 14 83 102 2 83 175 0 83 248 0 83 321 0 
83 30 0 83 103 0 83 176 0 83 249 0 83 322 0 
83 31 0 83 104 0 83 177 0 83 250 0 83 323 0 
83 32 0 83 105 0 83 178 0 83 251 0 83 324 1 
83 33 0 83 106 0 83 179 0 83 252 0 83 325 0 
83 34 1 83 107 0 83 180 0 83 253 0 83 326 0 
83 35 0 83 108 3 83 181 0 83 254 0 83 327 0 
83 36 3 83 109 0 83 182 0 83 255 0 83 328 8 
83 37 3 83 110 0 83 183 0 83 256 0 83 329 5 
83 38 1 83 111 1 83 184 0 83 257 0 83 330 0 
83 39 2 83 112 0 83 185 0 83 258 0 83 331 0 
83 40 0 83 113 0 83 186 0 83 259 0 83 332 0 
83 41 0 83 114 0 83 187 0 83 260 0 83 333 0 
83 42 0 83 115 0 83 188 0 83 261 0 83 334 0 
83 43 0 83 116 0 83 189 0 83 262 0 83 335 0 
83 44 1 83 117 0 83 190 0 83 263 0 83 336 0 
83 45 0 83 118 0 83 191 0 83 264 0 83 337 3 
83 46 0 83 119 0 83 192 0 83 265 0 83 338 0 
83 47 0 83 120 1 83 193 0 83 266 0 83 339 0 
83 48 0 83 121 2 83 194 0 83 267 0 83 340 0 
83 49 0 83 122 0 83 195 0 83 268 1 83 341 0 
83 50 0 83 123 0 83 196 0 83 269 9 83 342 0 
83 51 0 83 124 0 83 197 0 83 270 1 83 343 0 
83 52 0 83 125 0 83 198 0 83 271 0 83 344 0 
83 53 0 83 126 0 83 199 0 83 272 0 83 345 0 
83 54 0 83 127 0 83 200 0 83 273 1 83 346 0 
83 55 1 83 128 0 83 201 0 83 274 4 83 347 0 
83 56 1 83 129 0 83 202 0 83 275 0 83 348 0 
83 57 0 83 130 0 83 203 0 83 276 0 83 349 0 
83 58 5 83 131 0 83 204 0 83 277 0 83 350 0 
83 59 0 83 132 0 83 205 0 83 278 0 83 351 0 
83 60 16 83 133 0 83 206 0 83 279 0 83 352 0 
83 61 14 83 134 0 83 207 0 83 280 0 83 353 0 
83 62 23 83 135 0 83 208 0 83 281 0 83 354 0 
83 63 0 83 136 0 83 209 0 83 282 0 83 355 0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 A-10 November 2004 
Table A-1. Developed Data Precipitation Record for Yucca Mountain that was Used Directly as Input 
for INFIL V2.0 (Continued) 
Daily Daily Daily Daily Daily 
Day Precip- Day Precip- Day Precip- Day Precip- Day Precipof 
itation of itation of itation of itation of itation 
Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 
83 64 0 83 137 0 83 210 0 83 283 0 83 356 0 
83 65 0 83 138 0 83 211 0 83 284 0 83 357 0 
83 66 0 83 139 0 83 212 0 83 285 0 83 358 6 
83 67 0 83 140 0 83 213 0 83 286 0 83 359 15 
83 68 0 83 141 0 83 214 0 83 287 0 83 360 1 
83 69 0 83 142 0 83 215 0 83 288 0 83 361 0 
83 70 0 83 143 0 83 216 0 83 289 0 83 362 0 
83 71 0 83 144 0 83 217 0 83 290 0 83 363 0 
83 72 0 83 145 0 83 218 4 83 291 0 83 364 0 
83 73 0 83 146 0 83 219 2 83 292 0 83 365 0 
84 1 0 84 74 0 84 147 0 84 220 0 84 293 0 
84 2 0 84 75 0 84 148 0 84 221 0 84 294 0 
84 3 0 84 76 0 84 149 0 84 222 0 84 295 0 
84 4 0 84 77 0 84 150 0 84 223 0 84 296 0 
84 5 0 84 78 0 84 151 0 84 224 0 84 297 0 
84 6 0 84 79 0 84 152 0 84 225 0 84 298 0 
84 7 0 84 80 0 84 153 0 84 226 0 84 299 0 
84 8 0 84 81 0 84 154 0 84 227 15 84 300 0 
84 9 0 84 82 0 84 155 0 84 228 8 84 301 0 
84 10 0 84 83 0 84 156 0 84 229 0 84 302 0 
84 11 0 84 84 0 84 157 0 84 230 0 84 303 0 
84 12 0 84 85 0 84 158 0 84 231 5 84 304 0 
84 13 0 84 86 0 84 159 0 84 232 16 84 305 0 
84 14 0 84 87 0 84 160 0 84 233 0 84 306 0 
84 15 0 84 88 0 84 161 0 84 234 0 84 307 0 
84 16 0 84 89 0 84 162 0 84 235 0 84 308 0 
84 17 0 84 90 0 84 163 0 84 236 0 84 309 0 
84 18 0 84 91 0 84 164 0 84 237 0 84 310 0 
84 19 0 84 92 0 84 165 0 84 238 0 84 311 0 
84 20 0 84 93 0 84 166 0 84 239 0 84 312 0 
84 21 0 84 94 0 84 167 0 84 240 0 84 313 0 
84 22 0 84 95 0 84 168 0 84 241 0 84 314 0 
84 23 0 84 96 0 84 169 0 84 242 0 84 315 0 
84 24 0 84 97 1 84 170 0 84 243 0 84 316 0 
84 25 0 84 98 0 84 171 0 84 244 0 84 317 0 
84 26 0 84 99 0 84 172 0 84 245 0 84 318 0 
84 27 0 84 100 0 84 173 0 84 246 0 84 319 0 
84 28 0 84 101 0 84 174 0 84 247 0 84 320 0 
84 29 0 84 102 0 84 175 0 84 248 0 84 321 0 
84 30 0 84 103 0 84 176 0 84 249 0 84 322 0 
84 31 0 84 104 0 84 177 0 84 250 0 84 323 0 
84 32 0 84 105 0 84 178 0 84 251 0 84 324 0 
84 33 0 84 106 0 84 179 0 84 252 0 84 325 0 
84 34 0 84 107 0 84 180 0 84 253 0 84 326 2 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 A-11 November 2004 
Table A-1. Developed Data Precipitation Record for Yucca Mountain that was Used Directly as Input 
for INFIL V2.0 (Continued) 
Daily Daily Daily Daily Daily 
Day Precip- Day Precip- Day Precip- Day Precip- Day Precipof 
itation of itation of itation of itation of itation 
Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 
84 35 0 84 108 0 84 181 0 84 254 0 84 327 18 
84 36 0 84 109 0 84 182 0 84 255 0 84 328 4 
84 37 0 84 110 0 84 183 0 84 256 0 84 329 3 
84 38 0 84 111 0 84 184 0 84 257 0 84 330 0 
84 39 0 84 112 0 84 185 1 84 258 0 84 331 0 
84 40 0 84 113 0 84 186 0 84 259 0 84 332 0 
84 41 2 84 114 0 84 187 0 84 260 4 84 333 0 
84 42 0 84 115 0 84 188 0 84 261 1 84 334 0 
84 43 0 84 116 0 84 189 0 84 262 0 84 335 0 
84 44 0 84 117 0 84 190 0 84 263 0 84 336 0 
84 45 1 84 118 0 84 191 0 84 264 1 84 337 0 
84 46 0 84 119 0 84 192 0 84 265 0 84 338 0 
84 47 0 84 120 0 84 193 0 84 266 0 84 339 0 
84 48 0 84 121 0 84 194 1 84 267 0 84 340 0 
84 49 0 84 122 0 84 195 1 84 268 0 84 341 0 
84 50 0 84 123 0 84 196 0 84 269 0 84 342 0 
84 51 0 84 124 0 84 197 0 84 270 0 84 343 2 
84 52 0 84 125 0 84 198 0 84 271 0 84 344 0 
84 53 0 84 126 0 84 199 0 84 272 0 84 345 1 
84 54 0 84 127 0 84 200 0 84 273 0 84 346 2 
84 55 0 84 128 0 84 201 1 84 274 0 84 347 1 
84 56 0 84 129 0 84 202 0 84 275 1 84 348 0 
84 57 0 84 130 0 84 203 11 84 276 2 84 349 0 
84 58 0 84 131 0 84 204 38 84 277 0 84 350 1 
84 59 0 84 132 0 84 205 1 84 278 0 84 351 6 
84 60 0 84 133 0 84 206 0 84 279 0 84 352 0 
84 61 0 84 134 0 84 207 0 84 280 0 84 353 10 
84 62 0 84 135 0 84 208 0 84 281 0 84 354 23 
84 63 0 84 136 0 84 209 1 84 282 0 84 355 1 
84 64 0 84 137 0 84 210 3 84 283 0 84 356 0 
84 65 0 84 138 0 84 211 2 84 284 0 84 357 0 
84 66 0 84 139 0 84 212 1 84 285 0 84 358 0 
84 67 0 84 140 0 84 213 11 84 286 0 84 359 0 
84 68 0 84 141 0 84 214 0 84 287 0 84 360 0 
84 69 0 84 142 0 84 215 0 84 288 0 84 361 3 
84 70 0 84 143 0 84 216 0 84 289 0 84 362 8 
84 71 0 84 144 0 84 217 0 84 290 0 84 363 5 
84 72 0 84 145 0 84 218 0 84 291 0 84 364 0 
84 73 0 84 146 0 84 219 0 84 292 0 84 365 0 
84 366 0 
85 1 0 85 74 0 85 147 0 85 220 0 85 293 0 
85 2 0 85 75 0 85 148 0 85 221 0 85 294 0 
85 3 0 85 76 0 85 149 0 85 222 0 85 295 0 
85 4 0 85 77 1 85 150 0 85 223 0 85 296 0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 A-12 November 2004 
Table A-1. Developed Data Precipitation Record for Yucca Mountain that was Used Directly as Input 
for INFIL V2.0 (Continued) 
Daily Daily Daily Daily Daily 
Day Precip- Day Precip- Day Precip- Day Precip- Day Precipof 
itation of itation of itation of itation of itation 
Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 
85 5 0 85 78 0 85 151 0 85 224 0 85 297 0 
85 6 0 85 79 0 85 152 0 85 225 0 85 298 0 
85 7 5 85 80 0 85 153 0 85 226 0 85 299 0 
85 8 2 85 81 0 85 154 1 85 227 0 85 300 0 
85 9 0 85 82 0 85 155 0 85 228 0 85 301 0 
85 10 0 85 83 0 85 156 0 85 229 0 85 302 0 
85 11 0 85 84 0 85 157 0 85 230 0 85 303 0 
85 12 0 85 85 0 85 158 0 85 231 0 85 304 0 
85 13 0 85 86 0 85 159 0 85 232 0 85 305 0 
85 14 0 85 87 1 85 160 0 85 233 0 85 306 0 
85 15 0 85 88 0 85 161 0 85 234 0 85 307 0 
85 16 0 85 89 0 85 162 0 85 235 0 85 308 0 
85 17 0 85 90 0 85 163 0 85 236 0 85 309 0 
85 18 0 85 91 0 85 164 0 85 237 0 85 310 0 
85 19 0 85 92 0 85 165 0 85 238 0 85 311 0 
85 20 0 85 93 0 85 166 0 85 239 0 85 312 0 
85 21 0 85 94 0 85 167 0 85 240 0 85 313 0 
85 22 0 85 95 0 85 168 0 85 241 0 85 314 0 
85 23 0 85 96 0 85 169 0 85 242 0 85 315 16 
85 24 0 85 97 0 85 170 0 85 243 0 85 316 6 
85 25 0 85 98 0 85 171 0 85 244 0 85 317 0 
85 26 2 85 99 0 85 172 0 85 245 0 85 318 0 
85 27 1 85 100 0 85 173 0 85 246 0 85 319 0 
85 28 0 85 101 0 85 174 0 85 247 0 85 320 0 
85 29 0 85 102 0 85 175 0 85 248 0 85 321 0 
85 30 0 85 103 0 85 176 0 85 249 0 85 322 0 
85 31 0 85 104 0 85 177 0 85 250 0 85 323 0 
85 32 0 85 105 0 85 178 0 85 251 0 85 324 0 
85 33 0 85 106 0 85 179 0 85 252 0 85 325 0 
85 34 0 85 107 0 85 180 0 85 253 0 85 326 0 
85 35 0 85 108 0 85 181 0 85 254 0 85 327 0 
85 36 0 85 109 0 85 182 0 85 255 0 85 328 2 
85 37 0 85 110 0 85 183 0 85 256 0 85 329 2 
85 38 0 85 111 0 85 184 0 85 257 0 85 330 0 
85 39 0 85 112 0 85 185 0 85 258 0 85 331 0 
85 40 1 85 113 0 85 186 0 85 259 0 85 332 0 
85 41 1 85 114 0 85 187 0 85 260 0 85 333 4 
85 42 0 85 115 0 85 188 0 85 261 9 85 334 0 
85 43 0 85 116 0 85 189 0 85 262 0 85 335 0 
85 44 0 85 117 0 85 190 0 85 263 0 85 336 5 
85 45 0 85 118 0 85 191 0 85 264 0 85 337 0 
85 46 0 85 119 0 85 192 0 85 265 0 85 338 0 
85 47 0 85 120 0 85 193 0 85 266 0 85 339 0 
85 48 0 85 121 0 85 194 0 85 267 0 85 340 0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 A-13 November 2004 
Table A-1. Developed Data Precipitation Record for Yucca Mountain that was Used Directly as Input 
for INFIL V2.0 (Continued) 
Daily Daily Daily Daily Daily 
Day Precip- Day Precip- Day Precip- Day Precip- Day Precipof 
itation of itation of itation of itation of itation 
Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 
85 49 0 85 122 0 85 195 0 85 268 0 85 341 0 
85 50 0 85 123 0 85 196 0 85 269 0 85 342 0 
85 51 0 85 124 0 85 197 0 85 270 1 85 343 0 
85 52 0 85 125 0 85 198 1 85 271 0 85 344 0 
85 53 0 85 126 0 85 199 6 85 272 0 85 345 0 
85 54 0 85 127 0 85 200 2 85 273 0 85 346 0 
85 55 0 85 128 0 85 201 7 85 274 0 85 347 0 
85 56 0 85 129 1 85 202 1 85 275 0 85 348 0 
85 57 0 85 130 5 85 203 0 85 276 0 85 349 0 
85 58 0 85 131 0 85 204 0 85 277 0 85 350 0 
85 59 0 85 132 0 85 205 0 85 278 0 85 351 0 
85 60 0 85 133 0 85 206 0 85 279 0 85 352 0 
85 61 0 85 134 0 85 207 0 85 280 1 85 353 0 
85 62 0 85 135 0 85 208 0 85 281 1 85 354 0 
85 63 0 85 136 0 85 209 0 85 282 0 85 355 0 
85 64 0 85 137 0 85 210 0 85 283 0 85 356 0 
85 65 0 85 138 0 85 211 0 85 284 0 85 357 0 
85 66 0 85 139 0 85 212 0 85 285 0 85 358 0 
85 67 0 85 140 0 85 213 0 85 286 0 85 359 0 
85 68 0 85 141 0 85 214 0 85 287 0 85 360 0 
85 69 0 85 142 0 85 215 0 85 288 0 85 361 0 
85 70 0 85 143 0 85 216 0 85 289 0 85 362 0 
85 71 0 85 144 0 85 217 0 85 290 0 85 363 0 
85 72 0 85 145 0 85 218 0 85 291 0 85 364 0 
85 73 0 85 146 0 85 219 0 85 292 0 85 365 0 
86 1 0 86 74 4 86 147 0 86 220 0 86 293 2 
86 2 0 86 75 1 86 148 0 86 221 0 86 294 0 
86 3 0 86 76 0 86 149 0 86 222 2 86 295 0 
86 4 0 86 77 0 86 150 0 86 223 0 86 296 0 
86 5 4 86 78 0 86 151 0 86 224 0 86 297 0 
86 6 0 86 79 0 86 152 0 86 225 0 86 298 0 
86 7 0 86 80 0 86 153 0 86 226 0 86 299 0 
86 8 0 86 81 0 86 154 0 86 227 0 86 300 0 
86 9 0 86 82 0 86 155 0 86 228 0 86 301 0 
86 10 0 86 83 0 86 156 0 86 229 0 86 302 0 
86 11 0 86 84 0 86 157 0 86 230 1 86 303 0 
86 12 0 86 85 0 86 158 0 86 231 0 86 304 0 
86 13 0 86 86 0 86 159 0 86 232 0 86 305 0 
86 14 0 86 87 0 86 160 0 86 233 0 86 306 0 
86 15 0 86 88 0 86 161 0 86 234 0 86 307 0 
86 16 0 86 89 0 86 162 0 86 235 0 86 308 0 
86 17 0 86 90 0 86 163 0 86 236 0 86 309 0 
86 18 0 86 91 0 86 164 0 86 237 5 86 310 0 
86 19 0 86 92 0 86 165 0 86 238 3 86 311 0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 A-14 November 2004 
Table A-1. Developed Data Precipitation Record for Yucca Mountain that was Used Directly as Input 
for INFIL V2.0 (Continued) 
Daily Daily Daily Daily Daily 
Day Precip- Day Precip- Day Precip- Day Precip- Day Precipof 
itation of itation of itation of itation of itation 
Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 
86 20 0 86 93 0 86 166 0 86 239 4 86 312 0 
86 21 0 86 94 0 86 167 0 86 240 0 86 313 0 
86 22 0 86 95 1 86 168 0 86 241 0 86 314 0 
86 23 0 86 96 4 86 169 0 86 242 0 86 315 0 
86 24 0 86 97 0 86 170 0 86 243 0 86 316 0 
86 25 0 86 98 0 86 171 0 86 244 0 86 317 0 
86 26 0 86 99 0 86 172 0 86 245 0 86 318 0 
86 27 0 86 100 0 86 173 0 86 246 0 86 319 0 
86 28 0 86 101 0 86 174 0 86 247 0 86 320 0 
86 29 0 86 102 0 86 175 0 86 248 0 86 321 0 
86 30 21 86 103 0 86 176 0 86 249 0 86 322 15 
86 31 2 86 104 0 86 177 0 86 250 0 86 323 0 
86 32 0 86 105 0 86 178 0 86 251 0 86 324 0 
86 33 0 86 106 0 86 179 0 86 252 0 86 325 0 
86 34 0 86 107 0 86 180 0 86 253 0 86 326 0 
86 35 1 86 108 0 86 181 0 86 254 0 86 327 0 
86 36 0 86 109 0 86 182 0 86 255 0 86 328 0 
86 37 0 86 110 0 86 183 0 86 256 0 86 329 0 
86 38 0 86 111 0 86 184 0 86 257 0 86 330 0 
86 39 0 86 112 0 86 185 0 86 258 0 86 331 0 
86 40 0 86 113 0 86 186 0 86 259 0 86 332 0 
86 41 0 86 114 0 86 187 0 86 260 0 86 333 0 
86 42 0 86 115 0 86 188 0 86 261 0 86 334 0 
86 43 0 86 116 0 86 189 0 86 262 0 86 335 0 
86 44 1 86 117 0 86 190 0 86 263 0 86 336 0 
86 45 7 86 118 0 86 191 0 86 264 0 86 337 0 
86 46 6 86 119 0 86 192 0 86 265 0 86 338 0 
86 47 0 86 120 0 86 193 0 86 266 1 86 339 0 
86 48 0 86 121 0 86 194 0 86 267 0 86 340 4 
86 49 0 86 122 0 86 195 0 86 268 0 86 341 2 
86 50 0 86 123 0 86 196 3 86 269 0 86 342 0 
86 51 0 86 124 0 86 197 0 86 270 0 86 343 0 
86 52 0 86 125 0 86 198 0 86 271 0 86 344 0 
86 53 0 86 126 4 86 199 0 86 272 0 86 345 0 
86 54 0 86 127 0 86 200 0 86 273 0 86 346 0 
86 55 0 86 128 0 86 201 0 86 274 1 86 347 0 
86 56 0 86 129 0 86 202 4 86 275 8 86 348 0 
86 57 0 86 130 0 86 203 0 86 276 0 86 349 0 
86 58 0 86 131 0 86 204 2 86 277 0 86 350 0 
86 59 0 86 132 0 86 205 0 86 278 0 86 351 0 
86 60 0 86 133 0 86 206 0 86 279 0 86 352 0 
86 61 0 86 134 0 86 207 0 86 280 0 86 353 2 
86 62 0 86 135 0 86 208 0 86 281 0 86 354 10 
86 63 0 86 136 0 86 209 0 86 282 0 86 355 0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 A-15 November 2004 
Table A-1. Developed Data Precipitation Record for Yucca Mountain that was Used Directly as Input 
for INFIL V2.0 (Continued) 
Daily Daily Daily Daily Daily 
Day Precip- Day Precip- Day Precip- Day Precip- Day Precipof 
itation of itation of itation of itation of itation 
Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 
86 64 0 86 137 0 86 210 0 86 283 0 86 356 0 
86 65 0 86 138 0 86 211 0 86 284 0 86 357 0 
86 66 0 86 139 0 86 212 0 86 285 0 86 358 0 
86 67 2 86 140 0 86 213 0 86 286 0 86 359 0 
86 68 0 86 141 0 86 214 0 86 287 0 86 360 0 
86 69 7 86 142 0 86 215 0 86 288 0 86 361 0 
86 70 0 86 143 0 86 216 0 86 289 0 86 362 0 
86 71 1 86 144 0 86 217 0 86 290 0 86 363 0 
86 72 4 86 145 0 86 218 0 86 291 0 86 364 0 
86 73 2 86 146 0 86 219 0 86 292 6 86 365 0 
87 1 0 87 74 8 87 147 0 87 220 0 87 293 0 
87 2 0 87 75 0 87 148 2 87 221 0 87 294 0 
87 3 0 87 76 0 87 149 0 87 222 0 87 295 4 
87 4 13 87 77 0 87 150 0 87 223 0 87 296 0 
87 5 7 87 78 0 87 151 0 87 224 0 87 297 7 
87 6 2 87 79 0 87 152 0 87 225 0 87 298 0 
87 7 2 87 80 2 87 153 0 87 226 0 87 299 0 
87 8 0 87 81 1 87 154 0 87 227 0 87 300 0 
87 9 0 87 82 0 87 155 0 87 228 0 87 301 0 
87 10 0 87 83 0 87 156 0 87 229 0 87 302 2 
87 11 0 87 84 0 87 157 1 87 230 0 87 303 0 
87 12 0 87 85 0 87 158 0 87 231 0 87 304 10 
87 13 0 87 86 0 87 159 1 87 232 0 87 305 6 
87 14 0 87 87 0 87 160 0 87 233 0 87 306 1 
87 15 0 87 88 0 87 161 0 87 234 0 87 307 0 
87 16 0 87 89 0 87 162 0 87 235 0 87 308 0 
87 17 0 87 90 0 87 163 0 87 236 0 87 309 15 
87 18 0 87 91 0 87 164 0 87 237 0 87 310 6 
87 19 0 87 92 0 87 165 0 87 238 0 87 311 0 
87 20 0 87 93 0 87 166 0 87 239 0 87 312 0 
87 21 0 87 94 3 87 167 0 87 240 0 87 313 0 
87 22 0 87 95 0 87 168 0 87 241 0 87 314 0 
87 23 0 87 96 0 87 169 0 87 242 0 87 315 0 
87 24 0 87 97 0 87 170 0 87 243 0 87 316 0 
87 25 0 87 98 0 87 171 0 87 244 0 87 317 0 
87 26 0 87 99 0 87 172 0 87 245 0 87 318 0 
87 27 0 87 100 0 87 173 0 87 246 0 87 319 0 
87 28 0 87 101 0 87 174 0 87 247 0 87 320 0 
87 29 0 87 102 0 87 175 0 87 248 0 87 321 0 
87 30 0 87 103 0 87 176 0 87 249 0 87 322 0 
87 31 0 87 104 0 87 177 0 87 250 0 87 323 0 
87 32 0 87 105 0 87 178 0 87 251 0 87 324 0 
87 33 0 87 106 0 87 179 0 87 252 0 87 325 0 
87 34 0 87 107 0 87 180 0 87 253 0 87 326 0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 A-16 November 2004 
Table A-1. Developed Data Precipitation Record for Yucca Mountain that was Used Directly as Input 
for INFIL V2.0 (Continued) 
Daily Daily Daily Daily Daily 
Day Precip- Day Precip- Day Precip- Day Precip- Day Precipof 
itation of itation of itation of itation of itation 
Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 
87 35 0 87 108 0 87 181 0 87 254 0 87 327 0 
87 36 0 87 109 0 87 182 0 87 255 0 87 328 0 
87 37 0 87 110 0 87 183 0 87 256 0 87 329 0 
87 38 0 87 111 0 87 184 0 87 257 0 87 330 0 
87 39 0 87 112 0 87 185 0 87 258 0 87 331 0 
87 40 0 87 113 0 87 186 0 87 259 0 87 332 0 
87 41 0 87 114 0 87 187 0 87 260 0 87 333 0 
87 42 0 87 115 0 87 188 0 87 261 0 87 334 0 
87 43 0 87 116 0 87 189 0 87 262 0 87 335 0 
87 44 0 87 117 0 87 190 0 87 263 0 87 336 0 
87 45 0 87 118 0 87 191 0 87 264 0 87 337 0 
87 46 1 87 119 3 87 192 0 87 265 0 87 338 4 
87 47 0 87 120 0 87 193 0 87 266 0 87 339 2 
87 48 0 87 121 0 87 194 0 87 267 0 87 340 0 
87 49 0 87 122 0 87 195 0 87 268 0 87 341 0 
87 50 0 87 123 0 87 196 0 87 269 0 87 342 0 
87 51 0 87 124 0 87 197 5 87 270 0 87 343 0 
87 52 0 87 125 0 87 198 0 87 271 0 87 344 0 
87 53 0 87 126 0 87 199 0 87 272 0 87 345 0 
87 54 3 87 127 2 87 200 0 87 273 0 87 346 0 
87 55 1 87 128 1 87 201 32 87 274 0 87 347 0 
87 56 5 87 129 0 87 202 5 87 275 0 87 348 0 
87 57 0 87 130 0 87 203 0 87 276 0 87 349 0 
87 58 0 87 131 0 87 204 0 87 277 0 87 350 0 
87 59 0 87 132 2 87 205 0 87 278 0 87 351 8 
87 60 0 87 133 0 87 206 0 87 279 0 87 352 0 
87 61 0 87 134 0 87 207 0 87 280 0 87 353 1 
87 62 0 87 135 2 87 208 0 87 281 0 87 354 0 
87 63 0 87 136 11 87 209 0 87 282 0 87 355 0 
87 64 3 87 137 1 87 210 0 87 283 0 87 356 2 
87 65 5 87 138 0 87 211 0 87 284 0 87 357 1 
87 66 2 87 139 0 87 212 0 87 285 2 87 358 0 
87 67 0 87 140 0 87 213 0 87 286 6 87 359 0 
87 68 0 87 141 0 87 214 0 87 287 0 87 360 0 
87 69 0 87 142 0 87 215 0 87 288 0 87 361 0 
87 70 0 87 143 0 87 216 1 87 289 0 87 362 0 
87 71 0 87 144 0 87 217 3 87 290 0 87 363 0 
87 72 0 87 145 0 87 218 0 87 291 0 87 364 0 
87 73 0 87 146 0 87 219 0 87 292 0 87 365 0 
88 1 0 88 74 0 88 147 0 88 220 0 88 293 0 
88 2 0 88 75 0 88 148 0 88 221 0 88 294 0 
88 3 0 88 76 0 88 149 0 88 222 0 88 295 0 
88 4 1 88 77 0 88 150 3 88 223 0 88 296 0 
88 5 6 88 78 0 88 151 0 88 224 0 88 297 0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 A-17 November 2004 
Table A-1. Developed Data Precipitation Record for Yucca Mountain that was Used Directly as Input 
for INFIL V2.0 (Continued) 
Daily Daily Daily Daily Daily 
Day Precip- Day Precip- Day Precip- Day Precip- Day Precipof 
itation of itation of itation of itation of itation 
Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 
88 6 0 88 79 0 88 152 0 88 225 0 88 298 0 
88 7 0 88 80 0 88 153 0 88 226 0 88 299 0 
88 8 0 88 81 0 88 154 0 88 227 0 88 300 0 
88 9 0 88 82 0 88 155 0 88 228 0 88 301 0 
88 10 0 88 83 0 88 156 0 88 229 0 88 302 0 
88 11 0 88 84 0 88 157 0 88 230 0 88 303 0 
88 12 0 88 85 0 88 158 0 88 231 0 88 304 0 
88 13 0 88 86 0 88 159 0 88 232 0 88 305 0 
88 14 0 88 87 0 88 160 0 88 233 0 88 306 0 
88 15 0 88 88 0 88 161 0 88 234 0 88 307 0 
88 16 0 88 89 0 88 162 0 88 235 0 88 308 0 
88 17 19 88 90 0 88 163 0 88 236 3 88 309 0 
88 18 4 88 91 0 88 164 0 88 237 1 88 310 0 
88 19 0 88 92 0 88 165 0 88 238 3 88 311 0 
88 20 0 88 93 0 88 166 0 88 239 6 88 312 0 
88 21 0 88 94 0 88 167 0 88 240 2 88 313 0 
88 22 0 88 95 0 88 168 0 88 241 4 88 314 0 
88 23 0 88 96 0 88 169 0 88 242 0 88 315 0 
88 24 0 88 97 0 88 170 0 88 243 1 88 316 0 
88 25 0 88 98 0 88 171 0 88 244 0 88 317 0 
88 26 0 88 99 0 88 172 1 88 245 0 88 318 0 
88 27 0 88 100 0 88 173 1 88 246 0 88 319 2 
88 28 0 88 101 0 88 174 2 88 247 0 88 320 0 
88 29 0 88 102 0 88 175 0 88 248 0 88 321 0 
88 30 0 88 103 0 88 176 0 88 249 0 88 322 0 
88 31 0 88 104 1 88 177 0 88 250 0 88 323 0 
88 32 0 88 105 7 88 178 0 88 251 0 88 324 0 
88 33 2 88 106 26 88 179 0 88 252 0 88 325 0 
88 34 0 88 107 1 88 180 0 88 253 0 88 326 0 
88 35 0 88 108 0 88 181 0 88 254 0 88 327 0 
88 36 0 88 109 0 88 182 0 88 255 0 88 328 0 
88 37 0 88 110 0 88 183 0 88 256 0 88 329 0 
88 38 0 88 111 7 88 184 0 88 257 0 88 330 0 
88 39 0 88 112 2 88 185 0 88 258 0 88 331 0 
88 40 0 88 113 1 88 186 0 88 259 0 88 332 0 
88 41 0 88 114 0 88 187 0 88 260 0 88 333 0 
88 42 0 88 115 0 88 188 0 88 261 0 88 334 0 
88 43 0 88 116 0 88 189 0 88 262 0 88 335 0 
88 44 0 88 117 0 88 190 0 88 263 0 88 336 0 
88 45 0 88 118 0 88 191 0 88 264 1 88 337 0 
88 46 0 88 119 0 88 192 0 88 265 3 88 338 0 
88 47 0 88 120 0 88 193 0 88 266 1 88 339 0 
88 48 0 88 121 0 88 194 0 88 267 0 88 340 0 
88 49 0 88 122 0 88 195 0 88 268 0 88 341 0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 A-18 November 2004 
Table A-1. Developed Data Precipitation Record for Yucca Mountain that was Used Directly as Input 
for INFIL V2.0 (Continued) 
Daily Daily Daily Daily Daily 
Day Precip- Day Precip- Day Precip- Day Precip- Day Precipof 
itation of itation of itation of itation of itation 
Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 
88 50 0 88 123 0 88 196 0 88 269 0 88 342 0 
88 51 0 88 124 0 88 197 0 88 270 0 88 343 0 
88 52 0 88 125 0 88 198 0 88 271 0 88 344 0 
88 53 0 88 126 1 88 199 0 88 272 0 88 345 0 
88 54 0 88 127 2 88 200 0 88 273 0 88 346 0 
88 55 0 88 128 0 88 201 0 88 274 0 88 347 0 
88 56 0 88 129 0 88 202 0 88 275 0 88 348 0 
88 57 0 88 130 0 88 203 0 88 276 0 88 349 0 
88 58 5 88 131 0 88 204 1 88 277 0 88 350 0 
88 59 1 88 132 0 88 205 0 88 278 0 88 351 0 
88 60 3 88 133 0 88 206 0 88 279 0 88 352 0 
88 61 2 88 134 0 88 207 0 88 280 0 88 353 1 
88 62 0 88 135 0 88 208 0 88 281 0 88 354 0 
88 63 0 88 136 0 88 209 0 88 282 0 88 355 0 
88 64 0 88 137 0 88 210 0 88 283 0 88 356 1 
88 65 0 88 138 0 88 211 2 88 284 0 88 357 0 
88 66 0 88 139 0 88 212 6 88 285 0 88 358 0 
88 67 0 88 140 0 88 213 1 88 286 0 88 359 0 
88 68 0 88 141 0 88 214 5 88 287 0 88 360 0 
88 69 0 88 142 0 88 215 0 88 288 0 88 361 0 
88 70 0 88 143 0 88 216 0 88 289 0 88 362 0 
88 71 0 88 144 0 88 217 0 88 290 0 88 363 0 
88 72 0 88 145 0 88 218 0 88 291 0 88 364 0 
88 73 0 88 146 0 88 219 0 88 292 0 88 365 0 
88 366 0 
89 1 0 89 74 0 89 147 0 89 220 2 89 293 0 
89 2 0 89 75 0 89 148 0 89 221 1 89 294 0 
89 3 0 89 76 0 89 149 0 89 222 0 89 295 0 
89 4 2 89 77 0 89 150 0 89 223 10 89 296 0 
89 5 0 89 78 0 89 151 0 89 224 0 89 297 0 
89 6 0 89 79 0 89 152 0 89 225 0 89 298 1 
89 7 0 89 80 0 89 153 0 89 226 0 89 299 0 
89 8 0 89 81 0 89 154 0 89 227 0 89 300 0 
89 9 0 89 82 0 89 155 0 89 228 0 89 301 0 
89 10 0 89 83 0 89 156 0 89 229 0 89 302 0 
89 11 0 89 84 3 89 157 0 89 230 0 89 303 0 
89 12 0 89 85 1 89 158 0 89 231 0 89 304 0 
89 13 0 89 86 0 89 159 0 89 232 0 89 305 0 
89 14 0 89 87 0 89 160 0 89 233 0 89 306 0 
89 15 0 89 88 0 89 161 0 89 234 0 89 307 0 
89 16 0 89 89 0 89 162 0 89 235 0 89 308 0 
89 17 0 89 90 0 89 163 0 89 236 0 89 309 0 
89 18 0 89 91 0 89 164 0 89 237 0 89 310 0 
89 19 0 89 92 0 89 165 0 89 238 0 89 311 0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 A-19 November 2004 
Table A-1. Developed Data Precipitation Record for Yucca Mountain that was Used Directly as Input 
for INFIL V2.0 (Continued) 
Daily Daily Daily Daily Daily 
Day Precip- Day Precip- Day Precip- Day Precip- Day Precipof 
itation of itation of itation of itation of itation 
Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 
89 20 0 89 93 0 89 166 0 89 239 0 89 312 0 
89 21 0 89 94 0 89 167 0 89 240 0 89 313 0 
89 22 0 89 95 0 89 168 0 89 241 0 89 314 0 
89 23 0 89 96 0 89 169 0 89 242 0 89 315 0 
89 24 0 89 97 0 89 170 0 89 243 0 89 316 0 
89 25 0 89 98 0 89 171 0 89 244 0 89 317 0 
89 26 0 89 99 0 89 172 0 89 245 0 89 318 0 
89 27 0 89 100 0 89 173 0 89 246 0 89 319 0 
89 28 0 89 101 0 89 174 0 89 247 0 89 320 0 
89 29 0 89 102 0 89 175 0 89 248 0 89 321 0 
89 30 0 89 103 0 89 176 0 89 249 0 89 322 0 
89 31 0 89 104 0 89 177 0 89 250 0 89 323 0 
89 32 0 89 105 0 89 178 0 89 251 0 89 324 0 
89 33 0 89 106 0 89 179 0 89 252 0 89 325 0 
89 34 0 89 107 0 89 180 0 89 253 0 89 326 0 
89 35 2 89 108 0 89 181 0 89 254 0 89 327 0 
89 36 0 89 109 0 89 182 0 89 255 0 89 328 0 
89 37 0 89 110 0 89 183 0 89 256 0 89 329 0 
89 38 0 89 111 0 89 184 0 89 257 0 89 330 0 
89 39 1 89 112 0 89 185 0 89 258 0 89 331 0 
89 40 3 89 113 0 89 186 0 89 259 0 89 332 0 
89 41 1 89 114 0 89 187 0 89 260 0 89 333 0 
89 42 0 89 115 0 89 188 0 89 261 0 89 334 0 
89 43 0 89 116 0 89 189 0 89 262 3 89 335 0 
89 44 0 89 117 0 89 190 0 89 263 0 89 336 0 
89 45 0 89 118 0 89 191 0 89 264 0 89 337 0 
89 46 0 89 119 0 89 192 0 89 265 0 89 338 0 
89 47 0 89 120 0 89 193 0 89 266 0 89 339 0 
89 48 0 89 121 0 89 194 0 89 267 0 89 340 0 
89 49 0 89 122 0 89 195 0 89 268 0 89 341 0 
89 50 0 89 123 0 89 196 0 89 269 0 89 342 0 
89 51 0 89 124 0 89 197 0 89 270 0 89 343 0 
89 52 0 89 125 0 89 198 0 89 271 0 89 344 0 
89 53 0 89 126 0 89 199 0 89 272 0 89 345 0 
89 54 0 89 127 0 89 200 0 89 273 0 89 346 0 
89 55 0 89 128 0 89 201 0 89 274 0 89 347 0 
89 56 0 89 129 0 89 202 0 89 275 0 89 348 0 
89 57 0 89 130 0 89 203 0 89 276 0 89 349 0 
89 58 0 89 131 3 89 204 0 89 277 0 89 350 0 
89 59 0 89 132 0 89 205 0 89 278 0 89 351 0 
89 60 0 89 133 1 89 206 0 89 279 0 89 352 0 
89 61 0 89 134 0 89 207 0 89 280 0 89 353 0 
89 62 0 89 135 1 89 208 0 89 281 0 89 354 0 
89 63 0 89 136 0 89 209 0 89 282 0 89 355 1 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 A-20 November 2004 
Table A-1. Developed Data Precipitation Record for Yucca Mountain that was Used Directly as Input 
for INFIL V2.0 (Continued) 
Daily Daily Daily Daily Daily 
Day Precip- Day Precip- Day Precip- Day Precip- Day Precipof 
itation of itation of itation of itation of itation 
Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 
89 64 0 89 137 0 89 210 0 89 283 0 89 356 0 
89 65 0 89 138 0 89 211 0 89 284 0 89 357 0 
89 66 0 89 139 0 89 212 0 89 285 0 89 358 0 
89 67 0 89 140 0 89 213 0 89 286 0 89 359 0 
89 68 0 89 141 0 89 214 0 89 287 0 89 360 0 
89 69 0 89 142 0 89 215 0 89 288 0 89 361 0 
89 70 0 89 143 0 89 216 0 89 289 0 89 362 0 
89 71 0 89 144 0 89 217 0 89 290 0 89 363 0 
89 72 0 89 145 0 89 218 0 89 291 0 89 364 0 
89 73 0 89 146 0 89 219 1 89 292 0 89 365 0 
90 1 0 90 74 0 90 147 3 90 220 0 90 293 0 
90 2 1 90 75 0 90 148 11 90 221 0 90 294 0 
90 3 0 90 76 0 90 149 0 90 222 0 90 295 0 
90 4 0 90 77 0 90 150 0 90 223 0 90 296 0 
90 5 0 90 78 0 90 151 0 90 224 1 90 297 0 
90 6 0 90 79 0 90 152 0 90 225 0 90 298 0 
90 7 0 90 80 0 90 153 0 90 226 0 90 299 0 
90 8 0 90 81 0 90 154 0 90 227 8 90 300 0 
90 9 0 90 82 0 90 155 0 90 228 0 90 301 0 
90 10 0 90 83 0 90 156 0 90 229 0 90 302 0 
90 11 0 90 84 0 90 157 0 90 230 0 90 303 0 
90 12 0 90 85 0 90 158 0 90 231 0 90 304 0 
90 13 0 90 86 0 90 159 0 90 232 0 90 305 0 
90 14 3 90 87 0 90 160 1 90 233 0 90 306 0 
90 15 0 90 88 0 90 161 2 90 234 0 90 307 0 
90 16 2 90 89 0 90 162 0 90 235 0 90 308 0 
90 17 6 90 90 0 90 163 0 90 236 0 90 309 0 
90 18 0 90 91 0 90 164 0 90 237 0 90 310 0 
90 19 0 90 92 0 90 165 0 90 238 0 90 311 0 
90 20 0 90 93 0 90 166 0 90 239 0 90 312 0 
90 21 0 90 94 0 90 167 0 90 240 0 90 313 0 
90 22 0 90 95 0 90 168 0 90 241 0 90 314 0 
90 23 0 90 96 0 90 169 0 90 242 0 90 315 0 
90 24 0 90 97 0 90 170 0 90 243 0 90 316 0 
90 25 0 90 98 0 90 171 0 90 244 0 90 317 0 
90 26 0 90 99 0 90 172 0 90 245 0 90 318 0 
90 27 0 90 100 0 90 173 0 90 246 0 90 319 0 
90 28 0 90 101 0 90 174 0 90 247 0 90 320 0 
90 29 0 90 102 0 90 175 0 90 248 0 90 321 0 
90 30 0 90 103 0 90 176 0 90 249 0 90 322 0 
90 31 0 90 104 0 90 177 0 90 250 0 90 323 1 
90 32 3 90 105 0 90 178 0 90 251 0 90 324 3 
90 33 0 90 106 0 90 179 0 90 252 0 90 325 0 
90 34 0 90 107 0 90 180 0 90 253 0 90 326 0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 A-21 November 2004 
Table A-1. Developed Data Precipitation Record for Yucca Mountain that was Used Directly as Input 
for INFIL V2.0 (Continued) 
Daily Daily Daily Daily Daily 
Day Precip- Day Precip- Day Precip- Day Precip- Day Precipof 
itation of itation of itation of itation of itation 
Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 
90 35 0 90 108 0 90 181 0 90 254 0 90 327 0 
90 36 0 90 109 0 90 182 0 90 255 0 90 328 0 
90 37 0 90 110 5 90 183 0 90 256 0 90 329 0 
90 38 0 90 111 0 90 184 0 90 257 0 90 330 0 
90 39 0 90 112 0 90 185 0 90 258 0 90 331 0 
90 40 0 90 113 1 90 186 0 90 259 0 90 332 0 
90 41 0 90 114 0 90 187 0 90 260 0 90 333 0 
90 42 0 90 115 0 90 188 0 90 261 0 90 334 0 
90 43 0 90 116 0 90 189 0 90 262 0 90 335 0 
90 44 0 90 117 0 90 190 0 90 263 0 90 336 0 
90 45 0 90 118 0 90 191 0 90 264 0 90 337 0 
90 46 0 90 119 0 90 192 0 90 265 0 90 338 0 
90 47 0 90 120 0 90 193 0 90 266 10 90 339 0 
90 48 0 90 121 0 90 194 0 90 267 0 90 340 0 
90 49 0 90 122 0 90 195 9 90 268 0 90 341 0 
90 50 0 90 123 0 90 196 0 90 269 0 90 342 0 
90 51 0 90 124 0 90 197 7 90 270 0 90 343 0 
90 52 0 90 125 0 90 198 0 90 271 1 90 344 0 
90 53 0 90 126 0 90 199 0 90 272 0 90 345 0 
90 54 0 90 127 0 90 200 0 90 273 0 90 346 0 
90 55 0 90 128 0 90 201 0 90 274 0 90 347 0 
90 56 0 90 129 0 90 202 0 90 275 0 90 348 0 
90 57 0 90 130 0 90 203 0 90 276 0 90 349 0 
90 58 0 90 131 0 90 204 0 90 277 0 90 350 0 
90 59 0 90 132 0 90 205 0 90 278 0 90 351 0 
90 60 0 90 133 0 90 206 0 90 279 0 90 352 0 
90 61 0 90 134 0 90 207 0 90 280 0 90 353 0 
90 62 0 90 135 0 90 208 0 90 281 0 90 354 0 
90 63 0 90 136 0 90 209 0 90 282 0 90 355 0 
90 64 1 90 137 0 90 210 0 90 283 0 90 356 0 
90 65 0 90 138 0 90 211 0 90 284 0 90 357 0 
90 66 0 90 139 0 90 212 0 90 285 0 90 358 0 
90 67 0 90 140 0 90 213 0 90 286 0 90 359 0 
90 68 0 90 141 0 90 214 0 90 287 0 90 360 0 
90 69 0 90 142 0 90 215 0 90 288 0 90 361 0 
90 70 0 90 143 0 90 216 0 90 289 0 90 362 0 
90 71 0 90 144 0 90 217 0 90 290 0 90 363 0 
90 72 0 90 145 0 90 218 0 90 291 0 90 364 0 
90 73 0 90 146 0 90 219 0 90 292 0 90 365 0 
91 1 0 91 74 0 91 147 0 91 220 0 91 293 0 
91 2 0 91 75 0 91 148 0 91 221 0 91 294 0 
91 3 2 91 76 0 91 149 0 91 222 4 91 295 0 
91 4 1 91 77 0 91 150 0 91 223 1 91 296 0 
91 5 0 91 78 11 91 151 0 91 224 9 91 297 0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 A-22 November 2004 
Table A-1. Developed Data Precipitation Record for Yucca Mountain that was Used Directly as Input 
for INFIL V2.0 (Continued) 
Daily Daily Daily Daily Daily 
Day Precip- Day Precip- Day Precip- Day Precip- Day Precipof 
itation of itation of itation of itation of itation 
Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 
91 6 0 91 79 4 91 152 2 91 225 0 91 298 0 
91 7 0 91 80 19 91 153 0 91 226 0 91 299 2 
91 8 0 91 81 1 91 154 0 91 227 0 91 300 0 
91 9 0 91 82 0 91 155 0 91 228 0 91 301 0 
91 10 0 91 83 0 91 156 0 91 229 0 91 302 0 
91 11 0 91 84 0 91 157 0 91 230 0 91 303 0 
91 12 0 91 85 3 91 158 0 91 231 0 91 304 0 
91 13 0 91 86 19 91 159 0 91 232 0 91 305 0 
91 14 0 91 87 0 91 160 0 91 233 0 91 306 0 
91 15 0 91 88 0 91 161 0 91 234 0 91 307 0 
91 16 0 91 89 0 91 162 0 91 235 0 91 308 0 
91 17 0 91 90 0 91 163 0 91 236 0 91 309 0 
91 18 0 91 91 0 91 164 0 91 237 0 91 310 0 
91 19 0 91 92 0 91 165 0 91 238 0 91 311 0 
91 20 0 91 93 0 91 166 0 91 239 0 91 312 0 
91 21 0 91 94 0 91 167 0 91 240 0 91 313 0 
91 22 0 91 95 0 91 168 0 91 241 0 91 314 0 
91 23 0 91 96 0 91 169 0 91 242 0 91 315 0 
91 24 0 91 97 0 91 170 0 91 243 13 91 316 0 
91 25 0 91 98 0 91 171 0 91 244 0 91 317 0 
91 26 0 91 99 0 91 172 0 91 245 0 91 318 0 
91 27 0 91 100 0 91 173 0 91 246 0 91 319 0 
91 28 0 91 101 0 91 174 0 91 247 0 91 320 0 
91 29 0 91 102 0 91 175 0 91 248 2 91 321 0 
91 30 0 91 103 0 91 176 0 91 249 2 91 322 0 
91 31 0 91 104 0 91 177 0 91 250 0 91 323 0 
91 32 0 91 105 0 91 178 0 91 251 0 91 324 0 
91 33 0 91 106 0 91 179 0 91 252 0 91 325 0 
91 34 0 91 107 0 91 180 0 91 253 0 91 326 0 
91 35 0 91 108 0 91 181 0 91 254 0 91 327 0 
91 36 0 91 109 0 91 182 0 91 255 0 91 328 0 
91 37 0 91 110 0 91 183 0 91 256 0 91 329 0 
91 38 0 91 111 0 91 184 0 91 257 0 91 330 0 
91 39 0 91 112 0 91 185 0 91 258 0 91 331 0 
91 40 0 91 113 0 91 186 0 91 259 0 91 332 0 
91 41 0 91 114 0 91 187 0 91 260 0 91 333 0 
91 42 0 91 115 0 91 188 1 91 261 0 91 334 0 
91 43 0 91 116 0 91 189 0 91 262 0 91 335 0 
91 44 0 91 117 0 91 190 0 91 263 0 91 336 0 
91 45 0 91 118 0 91 191 0 91 264 0 91 337 0 
91 46 0 91 119 0 91 192 0 91 265 0 91 338 0 
91 47 0 91 120 0 91 193 0 91 266 0 91 339 0 
91 48 0 91 121 0 91 194 0 91 267 0 91 340 0 
91 49 0 91 122 11 91 195 0 91 268 0 91 341 2 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 A-23 November 2004 
Table A-1. Developed Data Precipitation Record for Yucca Mountain that was Used Directly as Input 
for INFIL V2.0 (Continued) 
Daily Daily Daily Daily Daily 
Day Precip- Day Precip- Day Precip- Day Precip- Day Precipof 
itation of itation of itation of itation of itation 
Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 
91 50 0 91 123 1 91 196 0 91 269 0 91 342 3 
91 51 0 91 124 0 91 197 0 91 270 0 91 343 0 
91 52 0 91 125 0 91 198 0 91 271 6 91 344 1 
91 53 0 91 126 0 91 199 0 91 272 0 91 345 0 
91 54 0 91 127 0 91 200 0 91 273 0 91 346 0 
91 55 0 91 128 0 91 201 0 91 274 0 91 347 0 
91 56 0 91 129 0 91 202 0 91 275 0 91 348 0 
91 57 0 91 130 0 91 203 0 91 276 0 91 349 0 
91 58 8 91 131 0 91 204 0 91 277 0 91 350 0 
91 59 16 91 132 0 91 205 0 91 278 0 91 351 0 
91 60 9 91 133 1 91 206 0 91 279 0 91 352 0 
91 61 0 91 134 0 91 207 0 91 280 0 91 353 4 
91 62 0 91 135 0 91 208 0 91 281 0 91 354 0 
91 63 0 91 136 0 91 209 0 91 282 0 91 355 0 
91 64 0 91 137 0 91 210 0 91 283 0 91 356 0 
91 65 0 91 138 0 91 211 0 91 284 0 91 357 0 
91 66 0 91 139 0 91 212 0 91 285 0 91 358 0 
91 67 0 91 140 0 91 213 15 91 286 0 91 359 0 
91 68 0 91 141 0 91 214 1 91 287 0 91 360 0 
91 69 0 91 142 0 91 215 0 91 288 0 91 361 0 
91 70 0 91 143 0 91 216 0 91 289 0 91 362 0 
91 71 0 91 144 0 91 217 0 91 290 0 91 363 5 
91 72 1 91 145 0 91 218 0 91 291 0 91 364 12 
91 73 2 91 146 0 91 219 0 91 292 0 91 365 0 
92 1 0 92 74 0 92 147 0 92 220 0 92 293 0 
92 2 0 92 75 0 92 148 0 92 221 0 92 294 0 
92 3 3 92 76 0 92 149 0 92 222 0 92 295 0 
92 4 5 92 77 0 92 150 1 92 223 0 92 296 0 
92 5 22 92 78 0 92 151 0 92 224 1 92 297 0 
92 6 8 92 79 0 92 152 0 92 225 0 92 298 8 
92 7 0 92 80 4 92 153 0 92 226 0 92 299 0 
92 8 0 92 81 10 92 154 0 92 227 0 92 300 0 
92 9 0 92 82 2 92 155 0 92 228 0 92 301 7 
92 10 0 92 83 3 92 156 0 92 229 0 92 302 0 
92 11 0 92 84 0 92 157 0 92 230 0 92 303 0 
92 12 0 92 85 0 92 158 0 92 231 0 92 304 1 
92 13 0 92 86 0 92 159 0 92 232 0 92 305 0 
92 14 0 92 87 5 92 160 0 92 233 0 92 306 0 
92 15 0 92 88 0 92 161 0 92 234 0 92 307 0 
92 16 0 92 89 5 92 162 0 92 235 0 92 308 0 
92 17 0 92 90 15 92 163 0 92 236 0 92 309 0 
92 18 0 92 91 6 92 164 0 92 237 0 92 310 0 
92 19 0 92 92 0 92 165 0 92 238 0 92 311 0 
92 20 0 92 93 0 92 166 0 92 239 0 92 312 0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 A-24 November 2004 
Table A-1. Developed Data Precipitation Record for Yucca Mountain that was Used Directly as Input 
for INFIL V2.0 (Continued) 
Daily Daily Daily Daily Daily 
Day Precip- Day Precip- Day Precip- Day Precip- Day Precipof 
itation of itation of itation of itation of itation 
Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 
92 21 0 92 94 0 92 167 0 92 240 0 92 313 0 
92 22 0 92 95 0 92 168 0 92 241 0 92 314 0 
92 23 0 92 96 0 92 169 0 92 242 0 92 315 0 
92 24 0 92 97 0 92 170 0 92 243 0 92 316 0 
92 25 0 92 98 0 92 171 0 92 244 0 92 317 0 
92 26 0 92 99 0 92 172 0 92 245 0 92 318 0 
92 27 0 92 100 0 92 173 0 92 246 0 92 319 0 
92 28 0 92 101 0 92 174 0 92 247 0 92 320 0 
92 29 0 92 102 0 92 175 0 92 248 0 92 321 0 
92 30 0 92 103 0 92 176 0 92 249 0 92 322 0 
92 31 0 92 104 0 92 177 0 92 250 0 92 323 0 
92 32 0 92 105 0 92 178 0 92 251 0 92 324 0 
92 33 0 92 106 0 92 179 0 92 252 0 92 325 0 
92 34 0 92 107 0 92 180 0 92 253 0 92 326 0 
92 35 0 92 108 0 92 181 0 92 254 0 92 327 0 
92 36 0 92 109 0 92 182 0 92 255 0 92 328 0 
92 37 15 92 110 0 92 183 0 92 256 0 92 329 0 
92 38 12 92 111 0 92 184 0 92 257 0 92 330 0 
92 39 0 92 112 0 92 185 0 92 258 0 92 331 0 
92 40 3 92 113 0 92 186 0 92 259 0 92 332 0 
92 41 17 92 114 0 92 187 0 92 260 2 92 333 0 
92 42 7 92 115 0 92 188 0 92 261 0 92 334 0 
92 43 22 92 116 0 92 189 0 92 262 2 92 335 0 
92 44 9 92 117 0 92 190 0 92 263 0 92 336 0 
92 45 0 92 118 0 92 191 0 92 264 0 92 337 0 
92 46 9 92 119 0 92 192 0 92 265 0 92 338 0 
92 47 0 92 120 0 92 193 0 92 266 1 92 339 0 
92 48 0 92 121 0 92 194 0 92 267 0 92 340 1 
92 49 0 92 122 0 92 195 0 92 268 2 92 341 0 
92 50 0 92 123 0 92 196 0 92 269 0 92 342 41 
92 51 0 92 124 0 92 197 0 92 270 0 92 343 19 
92 52 0 92 125 0 92 198 0 92 271 3 92 344 0 
92 53 0 92 126 0 92 199 0 92 272 0 92 345 0 
92 54 0 92 127 0 92 200 0 92 273 0 92 346 2 
92 55 0 92 128 0 92 201 0 92 274 0 92 347 0 
92 56 0 92 129 3 92 202 0 92 275 0 92 348 0 
92 57 0 92 130 0 92 203 0 92 276 0 92 349 0 
92 58 0 92 131 0 92 204 0 92 277 0 92 350 0 
92 59 0 92 132 0 92 205 0 92 278 0 92 351 0 
92 60 0 92 133 0 92 206 0 92 279 0 92 352 0 
92 61 0 92 134 0 92 207 0 92 280 0 92 353 1 
92 62 23 92 135 0 92 208 0 92 281 0 92 354 0 
92 63 3 92 136 0 92 209 0 92 282 0 92 355 0 
92 64 0 92 137 0 92 210 0 92 283 0 92 356 0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 A-25 November 2004 
Table A-1. Developed Data Precipitation Record for Yucca Mountain that was Used Directly as Input 
for INFIL V2.0 (Continued) 
Daily Daily Daily Daily Daily 
Day Precip- Day Precip- Day Precip- Day Precip- Day Precipof 
itation of itation of itation of itation of itation 
Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 
92 65 0 92 138 0 92 211 0 92 284 0 92 357 1 
92 66 2 92 139 0 92 212 0 92 285 0 92 358 1 
92 67 5 92 140 0 92 213 2 92 286 0 92 359 0 
92 68 1 92 141 0 92 214 0 92 287 0 92 360 0 
92 69 0 92 142 1 92 215 0 92 288 0 92 361 0 
92 70 0 92 143 0 92 216 0 92 289 0 92 362 1 
92 71 0 92 144 0 92 217 0 92 290 0 92 363 7 
92 72 0 92 145 0 92 218 0 92 291 0 92 364 1 
92 73 0 92 146 0 92 219 0 92 292 0 92 365 0 
92 366 0 
Source: DTN: GS000208311221.001. 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 A-26 November 2004 
INTENTIONALLY LEFT BLANK 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 November 2004 
APPENDIX B 
GEOSPATIAL INPUT DATA FOR INFIL V2.0 FY99 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 November 2004 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 B-1 November 2004 
B1. STATEMENT OF INTENDED USE FOR THE DATA 
The purpose of these data is to provide spatial information and properties for each grid block 
necessary to calculate net infiltration at each location for the Yucca Mountain site using the 
model INFIL V2.0 (USGS 2000 [DIRS 139422]). 
B2. GENERAL INFORMATION PERTAINING TO THE DATA SET 
Source data software used for development of geospatial input data are as follows: 
(1) Elevation, northing and easting: USGS Digital Elevation Model (DEM) from 
Topopah Spring West and Busted Butte 7.5-minute quadrangles: 
DTN: GS000308311221.006, ARCINFO, to produce ASCII file, 30MSITE.INP 
(DTN: GS000308311221.006) 
(2) Downstream grid cell: 30MSITE.INP, SORTGRD1 V1.0, CHNNET16 V1.0 
(DTN: GS000308311221.006) 
(3) Number of upstream cells: 30MSITE.INP, SORTGRD1 V1.0, CHNNET16 V1.0 
(DTN: GS000308311221.006) 
(4) Slope: 30MSITE.INP, ARCINFO (DTN: GS000308311221.006) 
(5) Aspect: 30MSITE.INP, ARCINFO (DTN: GS000308311221.006) 
(6) Soil-type: INFIL V2.0 control file, INFILS5o.CTL and 30MSITE.INP 
(DTN: GS960508312212.007 [DIRS 124829], DTN: GS000308311221.006) 
(7) Soil depth class: soil depth map (DTN: GS960508312212.007 [DIRS 124829]), 
INFIL V2.0 control file, INFILS5o.CTL, and 30MSITE.INP 
(DTN: GS000308311221.006) 
(8) Modeled soil depth: soil depth class (DTN: GS960508312212.007 
[DIRS 124829]), GEOMAP7 V1.0, GEOMOD4 V1.0, and SOILMAP6 V1.0 
(9) Rock type: INFIL V2.0 control file, INFILS5o.CTL, and README2.DAY 
[coverage explanations for Day et al. (1998 [DIRS 101557])], 
(DTN: GS971208314221.003 [DIRS 107128]) 
(10) Topographic position: INFIL V2.0 control file, INFILS5o.CTL 
(11) Blocking ridges: 30MSITE.INP (DTN: GS000308311221.006), BLOCKR7 V1.0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 B-2 November 2004 
This data set consists of three parts. One is a set of 10 files consisting of grid blocks within 
individual watershed modeling domains and all associated geospatial input listed above. The 10 
modeling domains are illustrated in Figure 6-11. These files are in EXCEL worksheets 
formatted with descriptive column headers and are available in DTN: GS000308311221.004: 
 YuccaWash.xls 
 DuneWash.xls 
 DrillHole.xls 
 Solitario1.xls 
 Solitario2.xls 
 Solitario4.xls 
 PlugHill.xls 
 JetRidge1.xls 
 JetRidge2.xls 
 JetRidge3.xls. 
The parameters included in each file are grid cell identifier number, UTM easting, UTM northing 
(m), latitude, longitude (decimal degrees), grid cell row index, grid cell column index, 
downstream grid cell identifier (used for surface water routing), number of upstream grid cells, 
elevation (m), slope (degrees inclination from horizontal), aspect (degrees from north), soil-type 
identifier, soil depth class identifier, modeled soil depth (m), rock-type identifier, topographic 
position, 36 blocking ridge angles (decimal degrees, inclination above horizontal) (Table B-1). 
An abbreviated example of the files is shown in Table B-2. 
The second part is the lookup table providing properties for each grid. It consists of a 
spreadsheet called GeoK.xls and consists of rock-type identifier, source, geologic description, 
hydrogeologic identifier, and bulk bedrock permeability (Table B-3). 
Part 3 is the soil properties (Table B-4). These are measured and calculated properties. 
Measured properties are bulk density, porosity, and rock fragment content. Saturated hydraulic 
conductivity, moisture retention curve fit parameters alpha and n, water content at 0.1 bar water 
potential, and water content at 60 bars water potential were estimated using empirical equations 
from Soil Physics with BASIC Transport Models for Soil-Plant Systems 
(Campbell 1985 [DIRS 100565]). 
Part 1: Geospatial input for each of 10 watersheds 
This input is primarily based on the USGS Digital Elevation Model (DEM) from Topopah 
Spring West and Busted Butte 7.5-minute quadrangles. The base grid 
(DTN: GS000308311221.006) was used to define location coordinates for the geospatial 
parameter input files for the 1996 version of the net infiltration model (Flint 
et al. 1996 [DIRS 100147]). The DEM is a regular 2-dimensional grid of 253,597 cells having 
dimensions of 30  30 m and elevations to the nearest meter. The 30-meter grid is based on a 
Universal Transverse Mercator (UTM), zone 11, NAD 1927 projection, consists of 691 northing 
rows (grid cell row index) and 367 easting columns (grid cell column index) aligned 
orthogonal to the UTM coordinate axis, and has a lower left corner coordinate 
of 544,661 m easting and 4,067,133 m northing. Grid locations are also defined using 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 B-3 November 2004 
geographic coordinates, latitude and longitude in decimal degrees, which were calculated in 
ARCINFO and used as input for the SOLRAD submodel in INFIL V2.0. The row and column 
location indices are used in the flow routing module in INFIL in the calculation of the surface 
water run-on term. 
Downstream grid cell identifier is the flow routing parameter and determines which of eight 
surrounding grid cells is the lowest in elevation. A value of 3 indicates the downstream grid 
cell is a drainage boundary. Flow directions were calculated for each grid cell using a two-step 
process. For the first step, the entire base-grid is sorted by elevation using the routine 
SORTGRD V1.0. In the second step, flow routing directions are calculated based on a standard 
D8 routing algorithm using the routine CHNNET16 V1.0. CHNNET16 V1.0 is a convergent 
flow routing algorithm; multiple cells are allowed to route to a single cell, but any given cell can 
route to only one downstream grid cell (as opposed to two in cases of flow dispersion). The 
CHNNET16 V1.0 algorithm provides a method for routing through surface depressions in the 
DEM. The number of upstream grid cells is included in each file. 
Elevation from mean sea level in meters is included in each file. 
Slope is a required input parameter for estimating soil depths. Slope and aspect were calculated 
for the net infiltration model from the DEM (DTN: GS000308311221.006) using standard GIS 
applications in ARCINFO. 
Soil type is indicated by values of between 1 and 10 (Flint et al. 1996 [DIRS 100147], Table 3, 
DTN: GS960908312211.003 [DIRS 103775]). When encountered in INFIL it uses a lookup 
table (INFILS5o.CTL) that has all hydrologic parameters for each soil type as listed by Flint et al. 
(1996 [DIRS 100147]). Depth class identifier is a value between 1 and 6 and is used in the 
preprocessing routine SOILMAP6 V1.0 with depth to bedrock map 
(DTN: GS960508312212.007 [DIRS 124829], estimated distribution of geomorphic surfaces 
and depth to bedrock for the southern half of the Topopah Spring NW 7.5 minute quadrangle and 
the entire Busted Butte 7.5 minute quadrangle), and slope to calculate soil depth at all grid block 
locations. Soil depth is estimated using a combination of the soil depth class map and an 
estimated linear relation between soil depth and slope within each depth class (GEOMAP7 V1.0 
and GEOMOD4 V1.0). Soil depth classes represent different ranges in actual soil depths that 
were estimated using a combination of Quaternary geologic maps, field observations, and soil 
depth recorded at borehole sites (Flint and Flint 1995 [DIRS 100394], Table 2). Depth class #1 
identifies locations with soil depths ranging from 0 to 0.5 m and primarily occurs in rugged 
upland areas. Depth class #2 identifies deeper soils ranging from 0.5 to 3.0 m occurring at mid 
to lower side-slope locations in upland areas affected by slumps, slides, and other mass-wasting 
processes. Depth class #3 identifies locations in the transition zone between upland areas and 
alluvial fans or basins with intermediate soil depths ranging from 3 to 6 m. Depth 
class #4 identifies deep soils with depths of 6 m or greater. Depth class #5 is an intermediate 
depth zone equivalent to Depth class #3, however #3 did not represent field conditions well when 
the Day et al. (1998 [DIRS 101557]) map was incorporated into the model. Depth class #5 is 
therefore an adjusted version of Depth class #3 where the geology is represented by Day et al. 
(1998 [DIRS 101557]). Depth class #6 occurs where Scott and Bonk (1984 [DIRS 104181]) 
mapped bedrock and Day et al. (1998 [DIRS 101557]) mapped deep alluvium. A compromise 
for this depth class was chosen as 3 to 6 m. The soil depth classes were used to estimate soil 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 B-4 November 2004 
depths based on calculated slope and an empirical soil-depth model (modeled soil depth, in 
meters). This model is based on an assumed soil depth  slope correlation within the soil depth 
classes defined for the 1996 version of the net infiltration model (Flint 
et al. 1996 [DIRS 100147]). The conceptual soil depth model for depth class 1 assumes that 
soils are thinnest at summit and ridge-crest areas as well as steep side slopes. Deeper soils are 
assumed to occur at the relatively gently sloping shoulder areas that define the transition between 
summit or ridge crest areas and steep side slope areas. Deeper soils are also assumed to occur 
for more gently sloping foot-slope locations. The model for soil depth class 1 is defined by: 
D = 0.03 * S + 0.1, S = 10 (Eq. 14) 
D = 0.013 * (10 - S) + 0.4, 10 < S < 40 
D = 0.01, S = 40 
where D = soil depth (in meters), and S = slope (degrees). The model for Depth class #2 is 
defined by: 
D = 2  (0.05 * S), S < 32 (Eq. 15) 
D = 0.4,\ S = 32 
and the model for Depth class # 3 is defined by: 
D = 6 - (0.16 * S), S = 25 (Eqn.16) 
D = 2.0 
For Depth class #4, soil depth is set to a uniform depth of 6 m. 
Rock-type identifier defines the rock type for each grid cell so that the corresponding bulk 
bedrock permeability can be found in the look up table shown in Table B-3. Bedrock geology 
was defined for each grid element using three ARCINFO maps coverages and a vector to raster 
conversion performed by ARCINFO. The three maps used for the bedrock determinations are 
the 1:6000 scale Bedrock Geologic Map of the Central block area by Day 
et al. (1998 [DIRS 101557]), the Preliminary Geologic Map of Yucca Mountain by Scott and 
Bonk (1984 [DIRS 104181]), and the Geologic Map of the Topopah Spring Northwest 
Quadrangle by Sawyer et al. (1995 [DIRS 104580]). Within the UZ flow model area, bedrock 
geology for the net infiltration model (which is defined as a unique integer identifier for each 
rock-type in the geospatial parameter input file) is primarily defined by Day 
et al. (1998 [DIRS 101557]). Bedrock geology for the northern and southern perimeter sections 
of the UZ flow model area is defined by Scott and Bonk (1984 [DIRS 104181]). Bedrock 
geology is represented in the geospatial parameter input file using a unique integer identifier for 
each rock-type. The identifier is linked to a bulk (field-scale) saturated permeability in the 
model control file (represented in GeoK.xls). Multiple rock-types can be assigned the same bulk 
permeability value in the model control file. 
Topographic position is indicated by values ranging from 1 to 4, corresponding to the 
classification ridgetop, sideslope, alluvial terrace, and channel discussed in Section 6.1.2 of this 
report. This information was used in INFIL V1.0 to identify channel locations, but as routing is 
done in version 2.0, this parameter is not used. It is however maintained as a placeholder. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 B-5 November 2004 
The 36 blocking ridge angles (degrees inclination above horizontal) are calculated at 
each 10 horizontal arc (with the azimuth aligned in the UTM northing direction) for each grid 
cell using the routine BLOCKR7. Calculations were performed using the DEM as input and a 
technique for approximating the 10 horizontal angles based on grid cell distances. The blocking 
ridge parameters cannot account for topographic influences outside of the DEM, and thus the 
blocking ridge effect is only partly accounted for along the perimeter of the DEM. 
Part 2: Geologic unit identifier and associated bulk bedrock saturated hydraulic 
conductivity 
The second part includes only the file, GeoK.xls (Table B-3). The geologic identifier in the first 
column is a value that allows each grid cell to use this file as a lookup table to identify rock type. 
The source is the map the rock type was taken from using ARCINFO coverages. The next two 
columns are geologic descriptions extracted from the sources that, when combined with map 
location, allow for the interpretation of corresponding lithostratigraphic unit shown in the next 
column which is represented by nomenclature in Proposed Stratigraphic Nomenclature and 
Macroscopic Identification of Lithostratigraphic Units of the Paintbrush Group Exposed at 
Yucca Mountain, Nevada (Buesch et al. 1996 [DIRS 100106]). The determination of 
corresponding lithostratigraphic unit is typically straightforward based on description. The 
column with corresponding hydrogeologic unit is based on Characterization of Hydrogeologic 
Units Using Matrix Properties, Yucca Mountain, Nevada (Flint 1998 [DIRS 100033], Table 1 
and DTN: MO0109HYMXPROP.001 [DIRS 155989]) and incorporates data from analyses of 
samples of most of the rock types for saturated hydraulic conductivity 
(DTN: MO0109HYMXPROP.001 [DIRS 155989]). Saturated hydraulic conductivity (Ks) on 
individual core samples was determined on subsamples from several boreholes 
(DTNs: GS990408312231.001 [DIRS 148711], GS960808312231.001 [DIRS 108998], 
GS960808312231.005 [DIRS 108995]). Cores were vacuum saturated, and Ks was measured 
using a steady-state permeameter that forces water through the core at a measured pressure while 
weighing the outflow over time. Ks was calculated using Darcys law. Mean values of saturated 
hydraulic conductivity for each hydrogeologic unit were determined by using a geometric mean 
calculation for Ks values found in DTN: MO0109HYMXPROP.001 [DIRS 155989]. The bulk 
bedrock hydraulic conductivity represents the combined matrix and fracture saturated hydraulic 
conductivity of each rock-type. Bulk bedrock hydraulic conductivity was calculated using 
measured saturated hydraulic conductivity of fracture fill material. A value of 43.2 mm/day was 
selected and used as a preliminary value. However, a value of 46.7 mm/day is the average value 
calculated from all measurements in DTN: GS950708312211.003 [DIRS 146873], Fracture/Fault 
Properties For Fast Pathways Model; the difference in calculated bulk hydraulic conductivity 
between these values is insignificant and results in bulk hydraulic conductivities that are less 
than one percent different. Additional values used to calculate bulk bedrock hydraulic 
conductivity included an estimate of the percent area occupied by 250 micron fractures [the 
assumption of this size fracture is discussed by Flint et al. (1996 [DIRS 100147])] and the mean 
saturated hydraulic conductivity of the bedrock matrix for that rock type (Flint 1998 
[DIRS 100033] Table 7; DTN: MO0109HYMXPROP.001 [DIRS 155989]). The percent area 
occupied by fractures of 250-microns aperture is equal to 250 microns divided 
by 1,000,000 microns per meter, multiplied by the fracture densities in fractures per meter. The 
fracture densities for each rock type that were used to calculate the bulk bedrock hydraulic 
conductivities were estimated from field observations and, subsequently, were corroborated by 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 B-6 November 2004 
the fracture density data from boreholes NRG-4, NRG-5, NRG-6, NRG-7, SD-9 and SD-12 
reported by Altman et al. (1996 [DIRS 100591] Table 3-6, DTN: SNSAND96081900.000 
[DIRS 149482]). 
For the development of hydrogeologic units, the data originally collected from 
laboratory measurements on all samples from 31 surface-based boreholes drilled 
from 1995 through 1997, were analyzed and data were submitted in the following data packages: 
DTNs: GS920508312231.012 [DIRS 109001], GS930108312231.006 [DIRS 108997], 
GS940408312231.004 [DIRS 109000], GS000408312231.004 [DIRS 149582], 
GS940508312231.006 [DIRS 107149], GS950408312231.004 [DIRS 108986], 
GS950308312231.003 [DIRS 149374], GS951108312231.009 [DIRS 108984], 
GS951108312231.011 [DIRS 108992], GS951108312231.010 [DIRS 108983], 
GS950308312231.002 [DIRS 108990], GS960808312231.004 [DIRS 108985], 
GS960808312231.002 [DIRS 108988], GS960808312231.001 [DIRS 108998], 
GS950608312231.008 [DIRS 144662], GS960808312231.005 [DIRS 108995], 
GS960808312231.003 [DIRS 147590], MO0109HYMXPROP.001 [DIRS 155989], 
GS990408312231.001 [DIRS 148711], GS000408312231.003 [DIRS 149461], 
GS000508312231.005 [DIRS 153236], GS000508312231.006 [DIRS 153237], and 
GS000508312231.007 [DIRS 163708]. These are also included in Section 9.3. Data outliers 
have been removed to allow for a better representation of the hydrogeologic units. Physical 
properties of bulk density, porosity, and particle density; flow properties of saturated hydraulic 
conductivity and moisture-retention characteristics; and the state variables (variables describing 
the current state of field conditions) of saturation and water potential were determined for each 
unit. Units were defined using the database of physical and hydrologic properties, described 
lithostratigraphic boundaries and corresponding relations to porosity, recognition of transition 
zones with pronounced changes in properties over short vertical distances, characterization of the 
influence of mineral alteration on hydrologic properties such as permeability and 
moisture-retention characteristics, and a statistical analysis to evaluate where boundaries should 
be adjusted to minimize the variance within layers. Additional data packages referred to in this 
appendix pertaining to the development of parameters for geospatial input for the net-infiltration 
model are also included in Section 9.3. 
Part 3: Properties for 10 soil units 
The properties in Table B-4 represent soils located around Yucca Mountain, Nevada. Bulk 
density, porosity, and rock fragment content were measured using laboratory analyses described 
by Flint et al. (1996 [DIRS 100147], p. 41). The source data for these measured properties were 
submitted under the following DTNs: 
GS950708312211.002 [DIRS 146874] - FY94 and FY95 Laboratory Measurements of Physical 
Properties of Surficial Materials at Yucca Mountain, Nevada. 
GS031208312211.001 [DIRS 171543] - FY95 Lab Measurements of Physical Properties of 
Surficial Material, at Yucca Mountain, NV PART II. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 B-7 November 2004 
GS960108312211.002 [DIRS 149478] - Gravimetric and Volumetric Water Content and Rock 
Fragment Content of 31 Selected Sites at Yucca Mountain, NV: FY95 Laboratory Measurements 
of Physical Properties of Surficial Material at Yucca Mountain, Part III. 
Field and laboratory analyses were conducted on the soils around Yucca Mountain. 
Large-volume, field bulk-density samples were collected from the surface to 0.3 m by using an 
irregular-hole, bulk-density device called a bead cone. Bulk density, porosity, rock fragment 
content, and sand, silt, and clay percentages were determined. Saturated hydraulic conductivity 
was measured using a double-ring infiltrometer on soils in locations where it could be measured 
and then compared to conductivity simulated using textural data for the fine-soil fraction (less 
than 2 mm) by using Equation 6.12 of Soil Physic with BASIC Transport Models for Soil-Plant 
Systems (Campbell 1985 [DIRS 100565]). Log-log water-characteristic curves were determined 
using Equations 2.15, 2.16, 2.17, 2.18, 5.10, and 5.11 of Soil Physic with BASIC Transport 
Models for Soil-Plant Systems (Campbell 1985 [DIRS 100565]) and were converted to van 
Genuchten curves in Excel. Soil-water contents at 0.1 bar and 60 bars water potential were 
used as field capacity and residual water content, the difference of which is plant available water 
content. The soil properties are summarized in Table B-4, where the parameters defining the van 
Genuchten curves (conductivity, alpha, and n) are simulated from texture, rock fragment content, 
and bulk density measured in the field. Also listed in Table B-4 are the soil-water contents 
corresponding to -0.1 and -60 bars water potential for each soil type, calculated using the fitted 
water-retention van Genuchten curve for each soil type. 
To test the validity of using textural analysis as a surrogate for measurements of soil properties, 
field-measured hydraulic conductivities were compared with the geometric-mean particle 
diameter using a method discussed in Soil Physic with BASIC Transport Models for Soil-Plant 
Systems (Campbell 1985 [DIRS 100565], Eq. 2.15) and with the model predictions of hydraulic 
properties made using Equations 5.10 and 5.11 from Soil Physic with BASIC Transport Models 
for Soil-Plant Systems (Campbell 1985 [DIRS 100565]), which is developed for less than 2-mm 
particle sizes. The results indicated an adequate correlation to use textural data for particle sizes 
less than 0.3 mm; however, the presence of rock fragments has a substantial effect on soil 
properties. To account for the presence of rock fragments, the log of simulated hydraulic 
conductivity from Campbell (1985 [DIRS 100565]) and the gravimetric rock-fragment content 
were regressed against the log of the measured values of hydraulic conductivity to produce a 
modified Campbell equation with an r2 of 0.85. The equation was then applied to each unit in 
Table B-4 to determine the saturated hydraulic conductivity. This analysis assumes that textural 
changes with depth are insignificant and that properties determined from textural sampling from 
the top 0.3 m of soil represents the entire soil profile. A large percentage of the surficial deposits 
in the study area are less than 0.5 m deep (Flint et al. 1996 [DIRS 100147], Figure 13) and the 
application of these data for these shallow soils is considered appropriate. 
Textural data also were used for the calculation of moisture-retention curves for the surficial 
soils using Soil Physic with BASIC Transport Models for Soil-Plant Systems 
(Campbell 1985 [DIRS 100565]). Six moisture-retention curves were measured in the laboratory 
on soil units 1, 2, and 4 using tempe cells, pressure pots, and chilled-mirror psychrometers to 
measure water potential over a full range of saturations (Flint et al. 1996 [DIRS 100147], Figures 
16A, 16B, and 16C). Curves were fit to the combined data sets for each soil unit. Curves 
calculated from the average textural data for the soil units are very similar to the curves from the 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 B-8 November 2004 
measured data for the three units. It was considered, therefore, that texture could be used to 
calculate curves and associated parameters for the remaining five soil units, and all curves are 
illustrated by Flint et al. (1996 [DIRS 100147], Figure 16D). These parameters are those listed 
in Table B-4. 
Table B-1. Description of Columns in Output Files with Geospatial Input for INFIL V2.0 
Column Description 
1 Grid cell identifier number 
2 UTM easting (m) 
3 UTM northing (m) 
4 Latitude (decimal degrees) 
5 Longitude (decimal degrees) 
6 Grid cell row index 
7 Grid cell column index 
8 Downstream grid cell identifier number (used for surface water routing) 
9 Number of upstream grid cells 
10 Elevation (m) 
11 Slope (degrees inclination from horizontal) 
12 Aspect (degrees azimuth from the UTM northing axis, in the horizontal plane) 
13 Soil type identifier 
14 Depth class identifier 
15 Modeled soil depth (m) 
16 Rock type identifier 
17 Topographic position 
18 1st of 36 blocking ridge angles (inclination above horizontal, decimal degrees) 
- 
- 
- 
- 
54 Last of 36 blocking ridge angles 
UTM=Universal Transverse Mercator 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 B-9 November 2004 
Table B-2. Example of Output Found in Files Used as Geospatial Input for INFIL V2.0 
Grid cell 
identifier 
UTM 
Easting 
(m) 
UTM 
Northing 
(m) 
Latitude 
(degrees) 
Longitude 
(degrees) 
Grid cell 
row 
index 
Grid cell 
column 
index 
Downstream 
grid cell 
identifier 
Number of 
upstream 
grid cells 
Elevation 
(m) 
Slope 
(degrees 
inclination 
from 
horizontal) 
Aspect 
(degrees 
from 
northing) 
Soil type 
identifier 
Depth 
class 
identifier 
Modeled 
soil 
depth 
(m) 
Rock 
type 
identifier 
Topographic 
position 
Blocking 
ridge 
angle 1 
Blocking 
ridge 
angle 2 
59985 545681 4076613 36.8361 116.4877 375 35 -3 0 1393 9 197 5 1 0.48 17 4 2 1 
60288 545681 4076583 36.8359 116.4877 376 35 62707 0 1392 9 199 5 1 0.48 17 4 2 1 
60879 545681 4076553 36.8356 116.4877 377 35 63010 0 1390 8 201 5 1 0.46 17 5 2 1 
61172 545711 4076613 36.8361 116.4874 375 36 -3 0 1389 10 109 5 1 0.5 17 4 2 1 
61179 545681 4076523 36.8353 116.4877 378 35 63573 0 1389 8 196 5 1 0.46 17 5 2 1 
61794 545651 4076613 36.8361 116.488 375 34 -3 0 1387 20 259 5 1 0.33 18 4 3 5 
61795 545711 4076583 36.8359 116.4874 376 36 -3 0 1387 10 108 5 1 0.5 17 4 2 1 
62076 545711 4076553 36.8356 116.4874 377 36 -3 0 1386 10 108 5 1 0.5 17 4 2 1 
62077 545681 4076493 36.835 116.4877 379 35 65103 0 1386 9 193 5 1 0.48 17 4 2 1 
62706 545651 4076583 36.8359 116.488 376 34 -3 1 1384 19 259 5 1 0.35 18 4 5 9 
62707 545651 4076553 36.8356 116.488 377 34 66960 1 1384 19 263 5 1 0.35 18 4 6 7 
62708 545711 4076523 36.8353 116.4874 378 36 -3 0 1384 10 108 5 1 0.5 17 4 2 1 
62711 545681 4076463 36.8348 116.4877 380 35 67273 0 1384 12 197 5 1 0.47 17 4 2 1 
63010 545651 4076523 36.8353 116.4881 378 34 67584 1 1383 18 258 5 1 0.36 18 4 5 6 
63011 545711 4076493 36.835 116.4874 379 36 -3 0 1383 10 112 5 1 0.5 17 5 2 1 
63573 545651 4076493 36.835 116.4881 379 34 68785 1 1381 18 248 5 1 0.36 18 4 5 6 
63574 545711 4076463 36.8348 116.4874 380 36 -3 0 1381 9 125 5 1 0.48 17 5 2 1 
Output DTN: GS000308311221.004. 
UTM=Universal Transverse Mercator 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 B-10 November 2004 
INTENTIONALLY LEFT BLANK 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 B-11 November 2004 
Table B-3. Lookup Table in INFIL V2.0 Providing Properties for Each Grid Block, Consisting of Rock- 
Type Identifier, Source, Geologic Description (Formation and Lithology), Corresponding 
Lithostratigraphic Unit and Hydrogeologic Identifier, and Estimated Fracture Density and Bulk 
Bedrock Saturated Hydraulic Conductivity Based on Filled 250-m Fractures 
Geologic descriptions from 
sources 
Geologic 
Identifier Source Formation Lithology 
Corresponding 
lithostrati 
graphic 
unit 
Corresponding 
hydrogeo 
logic unit 
Estimated 
Fracture 
density 
(F/m) 
Bulk 
Bedrock 
Saturated 
Hydraulic 
Conductivity 
w/filled 
250-m 
fractures 
(mm/d) 
2 
Scott and Bonk (1984 
[DIRS 104181]) 
Rhyolite of 
Pinnacles Ridge Lava flows Tptrv1 TC 25.0 0.41 
3 
Scott and Bonk (1984 
[DIRS 104181]) 
Rhyolite of 
Pinnacles Ridge Pyroclastic rocks Tpbt2 BT3 0.5 46.66 
4 
Scott and Bonk (1984 
[DIRS 104181]) 
Rhyolite of Comb 
Peak Lava flows Tpcpll CW 7.0 0.09 
5 
Scott and Bonk (1984 
[DIRS 104181]) 
Rhyolite of Comb 
Peak Pyroclastic rocks Tpbt3 BT3 0.5 46.66 
6 
Scott and Bonk (1984 
[DIRS 104181]) 
Rhyolite of Vent 
Pass Lava flows Tptrv1 TC 25.0 0.41 
7 
Scott and Bonk (1984 
[DIRS 104181]) 
Rhyolite of Vent 
Pass Pyroclastic rocks Tpbt3 BT3 0.5 46.66 
8 
Scott and Bonk (1984 
[DIRS 104181]) 
Rhyolite of Black 
Glass Canyon Lava flows Tpcpll CW 7.0 0.09 
9 
Scott and Bonk (1984 
[DIRS 104181]) 
Rhyolite of Black 
Glass Canyon Pyroclastic rocks Tpbt3 BT3 0.5 46.66 
10 
Scott and Bonk (1984 
[DIRS 104181]) 
Basalt Dikes of 
Yucca Mountain Welded Tpcplnc CW 7.0 0.09 
11 
Scott and Bonk (1984 
[DIRS 104181]) 
Timber Mountain 
Tuff-Rainier Mesa 
Welded ash-flow 
tuff Tptpmn TMN 5.0 0.06 
12 
Scott and Bonk (1984 
[DIRS 104181]) 
Timber Mountain 
Tuff-Rainier Mesa 
Nonwelded ashflow 
tuff Tpcpv1 CNW 6.0 2.74 
13 
Scott and Bonk (1984 
[DIRS 104181]) Bedded Tuff Bedded Tuff Tpbt4 BT4 0.5 13.83 
14 
Scott and Bonk (1984 
[DIRS 104181]) 
Rhyolite of Windy 
Wash Lava flows Tpcpll CW 7.0 0.09 
15 
Scott and Bonk (1984 
[DIRS 104181]) 
Rhyolite of Windy 
Wash Pyroclastic rocks Tpbt3 BT3 0.5 46.66 
16 
Scott and Bonk (1984 
[DIRS 104181]) Tiva Canyon Tuff Undifferentiated Tpcpll CW 7.0 0.09 
17 
Scott and Bonk (1984 
[DIRS 104181]) Tiva Canyon Tuff Caprock Tpcrv TC 20.0 0.35 
18 
Scott and Bonk (1984 
[DIRS 104181]) Tiva Canyon Tuff Upper cliff Tpcrn CUC 5.0 3.34 
19 
Scott and Bonk (1984 
[DIRS 104181]) Tiva Canyon Tuff Upper lithophysal Tpcpul CUL 5.0 1.13 
20 
Scott and Bonk (1984 
[DIRS 104181]) Tiva Canyon Tuff Clinkstone Tpcpmn CW 5.0 0.06 
21 
Scott and Bonk (1984 
[DIRS 104181]) Tiva Canyon Tuff Lower cliff Tpcpmn CW 5.0 0.06 
22 
Scott and Bonk (1984 
[DIRS 104181]) Tiva Canyon Tuff Clinkstone Tpcpmn CW 5.0 0.06 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 B-12 November 2004 
Table B-3. Lookup Table In INFIL V2.0 Providing Properties For Each Grid Block, Consisting of Rock- 
Type Identifier, Source, Geologic Description (Formation and Lithology), Corresponding 
Lithostratigraphic Unit and Hydrogeologic Identifier, and Estimated Fracture Density and Bulk 
Bedrock Saturated Hydraulic Conductivity Based on Filled 250-Um Fractures (Continued) 
Geologic 
Identifier Source 
Geologic descriptions from 
sources 
Corresponding 
lithostrati 
graphic 
unit 
Corresponding 
hydrogeo 
logic unit 
Estimated 
Fracture 
density 
(F/m) 
Bulk 
Bedrock 
Saturated 
Hydraulic 
Conductivity 
w/filled 
250-um 
fractures 
(mm/d) 
23 
Scott and Bonk (1984 
[DIRS 104181]) Tiva Canyon Tuff Clinkstone Tpcpmn CW 5.0 0.06 
24 
Scott and Bonk (1984 
[DIRS 104181]) Tiva Canyon Tuff Clinkstone Tpcpmn CW 5.0 0.06 
25 
Scott and Bonk (1984 
[DIRS 104181]) Tiva Canyon Tuff Middle lithophysal Tpcpmn CW 5.0 0.06 
26 
Scott and Bonk (1984 
[DIRS 104181]) Tiva Canyon Tuff Clinkstone Tpcpmn CW 5.0 0.06 
27 
Scott and Bonk (1984 
[DIRS 104181]) Tiva Canyon Tuff Rounded step Tpcpmn CW 5.0 0.06 
28 
Scott and Bonk (1984 
[DIRS 104181]) Tiva Canyon Tuff Lower Lithophysal Tpcpll CW 5.0 0.06 
29 
Scott and Bonk (1984 
[DIRS 104181]) Tiva Canyon Tuff Hackly zone Tpcplnh CW 5.0 0.06 
30 
Scott and Bonk (1984 
[DIRS 104181]) Tiva Canyon Tuff Hackly zone Tpcplnh CW 5.0 0.06 
31 
Scott and Bonk (1984 
[DIRS 104181]) Tiva Canyon Tuff Columnar Tpcplnc CW 5.0 0.06 
32 
Scott and Bonk (1984 
[DIRS 104181]) Tiva Canyon Tuff Bedded Tuff Tpbt4 BT4 0.5 13.83 
33 
Scott and Bonk (1984 
[DIRS 104181]) 
Yucca Mountain 
Tuff Undifferentiated Tpbt4 BT4 0.5 13.83 
34 
Scott and Bonk (1984 
[DIRS 104181]) 
Yucca Mountain 
Tuff Upper Tpbt4 BT4 0.5 13.83 
35 
Scott and Bonk (1984 
[DIRS 104181]) 
Yucca Mountain 
Tuff Middle Tpy CW 5.0 0.06 
36 
Scott and Bonk (1984 
[DIRS 104181]) 
Yucca Mountain 
Tuff Lower Tpy BT3 0.5 46.66 
37 
Scott and Bonk (1984 
[DIRS 104181]) 
Yucca Mountain 
Tuff Rhyolite Flows Tpcpll CW 7.0 0.09 
38 
Scott and Bonk (1984 
[DIRS 104181]) 
Yucca Mountain 
Tuff Bedded Tuff Tpbt3 BT3 0.5 46.66 
39 
Scott and Bonk (1984 
[DIRS 104181]) Pah Canyon Tuff Undifferentiated Tpp TPP 1.0 75.62 
40 
Scott and Bonk (1984 
[DIRS 104181]) Pah Canyon Tuff Upper Tpp TPP 1.0 75.62 
41 
Scott and Bonk (1984 
[DIRS 104181]) Pah Canyon Tuff Middle Tpp CW 5.0 0.06 
42 
Scott and Bonk (1984 
[DIRS 104181]) Pah Canyon Tuff Lower Tpbt2 BT2 0.5 276.49 
43 
Scott and Bonk (1984 
[DIRS 104181]) Pah Canyon Tuff Bedded Tuff Tpbt2 BT2 0.5 276.49 
44 
Scott and Bonk (1984 
[DIRS 104181]) 
Topopah Spring 
Tuff Undifferentiated Tptpll CW 7.0 0.09 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 B-13 November 2004 
Table B-3. Lookup Table In INFIL V2.0 Providing Properties For Each Grid Block, Consisting of Rock- 
Type Identifier, Source, Geologic Description (Formation and Lithology), Corresponding 
Lithostratigraphic Unit and Hydrogeologic Identifier, and Estimated Fracture Density and Bulk 
Bedrock Saturated Hydraulic Conductivity Based on Filled 250-Um Fractures (Continued) 
Geologic 
Identifier Source 
Geologic descriptions from 
sources 
Corresponding 
lithostrati 
graphic 
unit 
Corresponding 
hydrogeo 
logic unit 
Estimated 
Fracture 
density 
(F/m) 
Bulk 
Bedrock 
Saturated 
Hydraulic 
Conductivity 
w/filled 
250-um 
fractures 
(mm/d) 
45 
Scott and Bonk (1984 
[DIRS 104181]) 
Topopah Spring 
Tuff Caprock Tptrv1 TC 25.0 0.41 
99 
Scott and Bonk (1984 
[DIRS 104181]) 
Topopah Spring 
Tuff Caprock/rounded Tptrn TC 10.0 0.25 
46 
Scott and Bonk (1984 
[DIRS 104181]) 
Topopah Spring 
Tuff Rounded Tptrn TR 5.0 0.20 
47 
Scott and Bonk (1984 
[DIRS 104181]) 
Topopah Spring 
Tuff Thin lithophysal Tptpul TUL 3.0 0.05 
48 
Scott and Bonk (1984 
[DIRS 104181]) 
Topopah Spring 
Tuff Red lithophysal Tptpul TUL 3.0 0.05 
49 
Scott and Bonk (1984 
[DIRS 104181]) 
Topopah Spring 
Tuff Upper lithophysal Tptpul TUL 3.0 0.05 
50 
Scott and Bonk (1984 
[DIRS 104181]) 
Topopah Spring 
Tuff Lower lithophysal Tptpul TUL 3.0 0.05 
51 
Scott and Bonk (1984 
[DIRS 104181]) 
Topopah Spring 
Tuff Lithophysal Tptpul TUL 3.0 0.05 
52 
Scott and Bonk (1984 
[DIRS 104181]) 
Topopah Spring 
Tuff Nonlithophysal Tptpmn TMN 7.0 0.09 
53 
Scott and Bonk (1984 
[DIRS 104181]) 
Topopah Spring 
Tuff 
Gray 
nonlithophysal Tptpmn TMN 7.0 0.09 
54 
Scott and Bonk (1984 
[DIRS 104181]) 
Topopah Spring 
Tuff Nonlithophysal Tptpmn TMN 7.0 0.09 
55 
Scott and Bonk (1984 
[DIRS 104181]) 
Topopah Spring 
Tuff Brick Tptpmn TMN 7.0 0.09 
56 
Scott and Bonk (1984 
[DIRS 104181]) 
Topopah Spring 
Tuff 
Middle 
nonlithophysal Tptpmn TMN 7.0 0.09 
57 
Scott and Bonk (1984 
[DIRS 104181]) 
Topopah Spring 
Tuff 
Orange brick 
lithophysal Tptpmn TMN 7.0 0.09 
58 
Scott and Bonk (1984 
[DIRS 104181]) 
Topopah Spring 
Tuff Orange brick Tptpmn TMN 7.0 0.09 
59 
Scott and Bonk (1984 
[DIRS 104181]) 
Topopah Spring 
Tuff Tptpmn TMN 7.0 0.09 
60 
Scott and Bonk (1984 
[DIRS 104181]) 
Topopah Spring 
Tuff Tptpmn TMN 7.0 0.09 
61 
Scott and Bonk (1984 
[DIRS 104181]) 
Topopah Spring 
Tuff Tptpmn TMN 7.0 0.09 
62 
Scott and Bonk (1984 
[DIRS 104181]) 
Topopah Spring 
Tuff Mottled lithophysal Tptpll TLL 5.0 0.07 
63 
Scott and Bonk (1984 
[DIRS 104181]) 
Topopah Spring 
Tuff Lower Lithophysal Tptpll TLL 5.0 0.07 
64 
Scott and Bonk (1984 
[DIRS 104181]) 
Topopah Spring 
Tuff Lower Lithophysal Tptpll TLL 5.0 0.07 
65 
Scott and Bonk (1984 
[DIRS 104181]) 
Topopah Spring 
Tuff Lower Lithophysal Tptpll TLL 5.0 0.07 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 B-14 November 2004 
Table B-3. Lookup Table In INFIL V2.0 Providing Properties For Each Grid Block, Consisting of Rock- 
Type Identifier, Source, Geologic Description (Formation and Lithology), Corresponding 
Lithostratigraphic Unit and Hydrogeologic Identifier, and Estimated Fracture Density and Bulk 
Bedrock Saturated Hydraulic Conductivity Based on Filled 250-Um Fractures (Continued) 
Geologic 
Identifier Source 
Geologic descriptions from 
sources 
Corresponding 
lithostrati 
graphic 
unit 
Corresponding 
hydrogeo 
logic unit 
Estimated 
Fracture 
density 
(F/m) 
Bulk 
Bedrock 
Saturated 
Hydraulic 
Conductivity 
w/filled 
250-um 
fractures 
(mm/d) 
66 
Scott and Bonk (1984 
[DIRS 104181]) 
Topopah Spring 
Tuff Mottled Tptpln TM1 12.0 0.14 
67 
Scott and Bonk (1984 
[DIRS 104181]) 
Topopah Spring 
Tuff Vitrophyre Tptpv3 PV3 15.0 0.17 
68 
Scott and Bonk (1984 
[DIRS 104181]) 
Topopah Spring 
Tuff Partially welded Tptpv2,1 PV2 0.5 0.07 
69 
Scott and Bonk (1984 
[DIRS 104181]) 
Calico Hills 
Formation Pyroclastic rocks Tac CHZ 0.5 0.02 
70 
Scott and Bonk (1984 
[DIRS 104181]) 
Calico Hills 
Formation Lava flows Tptpln TM1 12.0 0.14 
71 
Scott and Bonk (1984 
[DIRS 104181]) 
Calico Hills 
Formation 
Autobrecciated 
lavas Tac CHZ 0.5 0.01 
72 
Scott and Bonk (1984 
[DIRS 104181]) Prow Pass Tuff Partially welded Tcp, unit3 PP3 1.0 1.65 
73 
Scott and Bonk (1984 
[DIRS 104181]) Prow Pass Tuff Moderately welded Tcp, unit2 PP2 2.0 0.05 
74 
Scott and Bonk (1984 
[DIRS 104181]) Prow Pass Tuff Undifferentiated Tcp, unit2 PP2 2.0 0.05 
75 
Scott and Bonk (1984 
[DIRS 104181]) Prow Pass Tuff Bedded Tuffs Tcp, unit1 PP1 1.0 0.02 
76 
Scott and Bonk (1984 
[DIRS 104181]) Bullfrog Tuff Ash-flow tuff Tcb, unit3 BF3 1.0 0.09 
77 
Scott and Bonk (1984 
[DIRS 104181]) Disturbed ground 0.25 
201 
Sawyer et al. (1995 
[DIRS 104580]) Tiva Canyon Tuff Undifferentiated Tpcpll CW 1.0 0.09 
202 
Sawyer et al. 
(1995 [DIRS 104580]) 
Timber Mountain 
Tuff-Rainier Mesa 
Welded ash-flow 
tuff Tptpmn TMN 5.0 0.06 
203 
Sawyer et al. 
(1995 [DIRS 104580]) 
Rhyolite of Windy 
Wash Lava flows Tpcpll CW 1.0 0.09 
204 
Sawyer et al. 
(1995 [DIRS 104580]) Alluvium 500.00 
205 
Sawyer et al. 
(1995 [DIRS 104580]) 
Rhyolite of Vent 
Pass Lava flows Tptrv1 TC 25.0 0.41 
206 
Sawyer et al. 
(1995 [DIRS 104580]) 
Rhyolite of 
Pinnacles Ridge Lava flows Tptrv1 TC 25.0 0.41 
207 
Sawyer et al. 
(1995 [DIRS 104580]) 
Rhyolite of 
Pinnacles Ridge Pyroclastic rocks Tpbt2 BT3 0.5 46.66 
208 
Sawyer et al. 
(1995 [DIRS 104580]) 
Calico Hills 
Formation Lava flows Tptpln TM1 12.0 0.14 
209 
Sawyer et al. 
(1995 [DIRS 104580]) 
Yucca Mountain 
Tuff Middle Tpy CW 5.0 0.06 
210 
Sawyer et al. 
(1995 [DIRS 104580]) 
Rhyolite of Comb 
Peak Lava flows Tpcpll CW 1.0 0.09 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 B-15 November 2004 
Table B-3. Lookup Table In INFIL V2.0 Providing Properties For Each Grid Block, Consisting of Rock- 
Type Identifier, Source, Geologic Description (Formation and Lithology), Corresponding 
Lithostratigraphic Unit and Hydrogeologic Identifier, and Estimated Fracture Density and Bulk 
Bedrock Saturated Hydraulic Conductivity Based on Filled 250-Um Fractures (Continued) 
Geologic 
Identifier Source 
Geologic descriptions from 
sources 
Corresponding 
lithostrati 
graphic 
unit 
Corresponding 
hydrogeo 
logic unit 
Estimated 
Fracture 
density 
(F/m) 
Bulk 
Bedrock 
Saturated 
Hydraulic 
Conductivity 
w/filled 
250-um 
fractures 
(mm/d) 
211 
Sawyer et al. 
(1995 [DIRS 104580]) Bullfrog Tuff Ash-flow tuff Tcb, unit3 BF3 1.0 0.09 
212 
Sawyer et al. 
(1995 [DIRS 104580]) Bullfrog Tuff Ash-flow tuff Tcb, unit3 BF3 1.0 0.09 
213 
Sawyer et al. 
(1995 [DIRS 104580]) 
Topopah Spring 
Tuff Nonlithophysal Tptpmn TMN 1.0 0.09 
214 
Sawyer et al. 
(1995 [DIRS 104580]) Prow Pass Tuff Moderately welded Tcp, unit2 PP2 2.0 0.05 
301 
Day et al. (1998 
[DIRS 101557]) 
Alluvial & 
Colluvial deposits 
Alluvial & Colluvial 
deposits QTac QTac 500.00 
302 
Day et al. (1998 
[DIRS 101557]) Colluvial deposits Colluvial deposits Qtc QTac 500.00 
303 
Day et al. (1998 
[DIRS 101557]) 
Miocene 
Intrusives basalt dike Td CW 5.0 0.06 
304 
Day et al. (1998 
[DIRS 101557]) 
Timber Mountain 
Group 
Rainier Mesa Tuff, 
welded Tmrw TMN 1.0 0.09 
305 
Day et al. (1998 
[DIRS 101557]) 
Timber Mountain 
Group 
Rainier Mesa Tuff, 
nonwelded Tmr CNW 6.0 2.74 
306 
Day et al. (1998 
[DIRS 101557]) 
Rhyolite of Comb 
Peak Rhyolite lava flow Tpkl BT3 0.5 46.66 
307 
Day et al. (1998 
[DIRS 101557]) 
Rhyolite of Comb 
Peak Ash-flow tuff Tpkt BT3 0.5 46.66 
308 
Day et al. (1998 
[DIRS 101557]) 
Rhyolite of Comb 
Peak bedded tuff Tbt5 BT3 0.5 46.66 
309 
Day et al. (1998 
[DIRS 101557]) 
Rhyolite of Comb 
Peak undivided Tpu CW 5.0 0.06 
310 
Day et al. (1998 
[DIRS 101557]) Tiva Canyon Tuff undivided Tcu CW 5.0 0.06 
311 
Day et al. (1998 
[DIRS 101557]) Tiva Canyon Tuff 
crystal rich vitric 
zone Tcrv TC 20.0 0.35 
312 
Day et al. (1998 
[DIRS 101557]) Tiva Canyon Tuff 
subvitric transition 
zone Tcrn4 TC 20.0 0.35 
313 
Day et al. (1998 
[DIRS 101557]) Tiva Canyon Tuff pumice-poor zone Tcrn3 CUC 5.0 3.34 
314 
Day et al. (1998 
[DIRS 101557]) Tiva Canyon Tuff 
mixed-pumice 
zone Tcr2 CUC 5.0 3.34 
315 
Day et al. (1998 
[DIRS 101557]) Tiva Canyon Tuff 
crystal transition 
zone Tcr1 CW 5.0 0.06 
316 
Day et al. (1998 
[DIRS 101557]) Tiva Canyon Tuff upper lithophysal Tcpul CUL 5.0 1.13 
317 
Day et al. (1998 
[DIRS 101557]) Tiva Canyon Tuff 
upper 
nonlithophysal Tcpun CW 5.0 0.06 
318 
Day et al. (1998 
[DIRS 101557]) Tiva Canyon Tuff 
middle 
nonlithophysal Tcpmn CW 5.0 0.06 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 B-16 November 2004 
Table B-3. Lookup Table In INFIL V2.0 Providing Properties For Each Grid Block, Consisting of Rock- 
Type Identifier, Source, Geologic Description (Formation and Lithology), Corresponding 
Lithostratigraphic Unit and Hydrogeologic Identifier, and Estimated Fracture Density and Bulk 
Bedrock Saturated Hydraulic Conductivity Based on Filled 250-Um Fractures (Continued) 
Geologic 
Identifier Source 
Geologic descriptions from 
sources 
Corresponding 
lithostrati 
graphic 
unit 
Corresponding 
hydrogeo 
logic unit 
Estimated 
Fracture 
density 
(F/m) 
Bulk 
Bedrock 
Saturated 
Hydraulic 
Conductivity 
w/filled 
250-um 
fractures 
(mm/d) 
319 
Day et al. (1998 
[DIRS 101557]) Tiva Canyon Tuff 
upper & middle 
nonlith, undivided Tcpum CW 5.0 0.06 
320 
Day et al. (1998 
[DIRS 101557]) Tiva Canyon Tuff lower lith Tcpll CW 5.0 0.06 
321 
Day et al. (1998 
[DIRS 101557]) Tiva Canyon Tuff lower nonlith Tcpln CW 5.0 0.06 
322 
Day et al. (1998 
[DIRS 101557]) Tiva Canyon Tuff columnar subzone Tcplnc CW 5.0 0.06 
323 
Day et al. (1998 
[DIRS 101557]) Tiva Canyon Tuff crystal poor vitric Tcplncv CNW 6.0 2.74 
324 
Day et al. (1998 
[DIRS 101557]) Yucca Mt. Tuff Yucca Mt. Tuff Tpy BT4 0.5 13.83 
325 
Day et al. (1998 
[DIRS 101557]) Pah Canyon Tuff 
Pah Canyon Tuff, 
nonwelded Tpp TPP 1.0 75.62 
326 
Day et al. (1998 
[DIRS 101557]) Pah Canyon Tuff 
Pah Canyon Tuff, 
welded Tppw CW 5.0 0.06 
327 
Day et al. (1998 
[DIRS 101557]) 
pre-Pah Canyon 
Tuff 
pre-Pah Canyon 
Tuff Tpbt2 BT2 0.5 276.49 
328 
Day et al. (1998 
[DIRS 101557]) 
Topopah Spring 
Tuff undifferentiated Tptu TR 5.0 0.20 
329 
Day et al. (1998 
[DIRS 101557]) 
crystal rich 
member 
crystal rich vitric, 
undivided Tptrv TC 20.0 0.35 
330 
Day et al. (1998 
[DIRS 101557]) 
crystal rich 
member 
densely welded 
zone Tptrn3 TC 20.0 0.35 
331 
Day et al. (1998 
[DIRS 101557]) 
crystal rich 
member pumice-rich zone Tptrn2 TR 5.0 0.20 
332 
Day et al. (1998 
[DIRS 101557]) 
crystal rich 
member 
crystal transition 
zone Tptr1 TUL 3.0 0.05 
333 
Day et al. (1998 
[DIRS 101557]) 
crystal poor 
member upper lith Tptpul TUL 3.0 0.05 
334 
Day et al. (1998 
[DIRS 101557]) 
crystal poor 
member middle nonlith Tptpmn TMN 7.0 0.09 
335 
Day et al. (1998 
[DIRS 101557]) 
crystal poor 
member 
lithophysal bearing 
subzone Tptmnl TMN 7.0 0.09 
336 
Day et al. (1998 
[DIRS 101557]) 
crystal poor 
member lower lith Tptpll TLL 7.0 0.09 
345 
Day et al. (1998 
[DIRS 101557]) 
Topopah Spring 
Tuff undivided Tptrn TR 10.0 0.24 
Source: DTN: GS000308311221.004. 
F/m = fractures per meter; mm/d = millimeters per day 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 B-17 November 2004 
Table B-4. Summary of soil properties used as input for INFIL V2.0. 
Soil 
unit 
Saturated 
hydraulic 
conductivity 
(simulated, 
m/s) 
alpha 
(1/Pa) n 
Porosity 
(%) 
Rock 
fragmen 
ts(%) 
Bulk 
Density 
(g/cm3) 
Water 
content at 
-0.1 bar water 
potential 
(%) 
Water 
content at 
-60 bars 
water 
potential (%) 
1 5.6x10-6 0.00052 1.24 36.6 10.5 1.60 24.2 5.4 
2 1.2x10-5 0.00062 1.31 31.5 11.6 1.73 17.3 2.3 
3 1.3x10-5 0.00066 1.36 32.5 18.7 1.70 16.3 1.7 
4 3.8x10-5 0.00087 1.62 28.1 21.9 1.81 7.3 0.2 
5 6.7x10-6 0.00056 1.28 33.0 15.2 1.69 20.0 3.5 
6 2.7x10-5 0.00074 1.40 33.9 11.7 1.66 15.0 1.1 
7 5.6x10-6 0.00055 1.26 37.0 17.1 1.58 23.4 4.6 
9 5.7x10-6 0.00055 1.30 32.2 19.1 1.72 18.9 2.8 
Output DTN: GS000308311221.004. 
g/cm3 = grams per cubic centimeter; m/s = meters per second; Pa = pascals 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 B-18 November 2004 
INTENTIONALLY LEFT BLANK
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 November 2004 
APPENDIX C 
DEVELOPMENT OF DAILY CLIMATE INPUT USING DAILY09 V1.0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 November 2004 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 C-1 November 2004 
C1. NAME OF ROUTINE/MACRO WITH VERSION/OS/HARDWARE 
ENVIRONMENT AND USER INFORMATION: 
Name of software routine: DAILY09 V1.0 
OS and hardware environment: Windows NT 4.0, Pentium Pro PC 
Computer Identification: SM321276 with a USGS specific host-name P720dcasr 
Software Users: Joseph Hevesi (916-278-3274), Alan Flint (916-278-3221) 
User Location: U.S. Geological Survey, Room 5000E, Placer Hall, 6000 J Street, Sacramento, 
CA 95819-6129 
C2. NAME OF COMMERCIAL SOFTWARE WITH VERSION/OS/HARDWARE 
USED TO DEVELOP ROUTINE/MACRO: 
The source code for DAILY09 V1.0 was developed using the standard FORTRAN77 
programming language. The source code was written, debugged, and compiled (for PC 
platforms using INTEL processors) using DIGITAL Visual Fortran with Microsoft Developer 
Studio, v. 5.0. 
C3. GENERAL DESCRIPTION OF ROUTINE/MACRO: 
DAILY09 V1.0 is a FORTRAN77 routine developed in accordance with AP-SI.1Q, specifically 
for the analysis/model activity documented in this report. The routine source code 
(DAILY09.FOR), compiled executable file (DAILY09.EXE), routine control file (DAILY09.CTL), 
input and output files used for routine validation, supplemental files created as part of validation 
testing, and a copy of this appendix, are located under the directory DAILY09 on a CD-ROM 
labeled DAYINPUT-1. The routine source code, control file, and the input and output files are 
ASCII text files that can be read using any standard ASCII text editor and can be imported into 
standard word processing applications such as Microsoft Word. The executable file can be used 
to run DAILY09 V1.0 on any PC with an INTEL processor (with adequate RAM). 
C4. TEST PLAN FOR THE SOFTWARE ROUTINE DAILY09 V1.0: 
 Explain whether this is a routine or macro and describe what it does: 
DAILY09 V1.0 is a routine that creates a daily climate input file for INFIL. It 
reformats EARTHINFO precipitation and air temperature files into a format that can 
be used as input to INFIL V2.0 (USGS 2000 [DIRS 139422]). Daily climate records 
from the analogue precipitation sites were exported from the EARTHINFO database 
(using the NCDC format option), and the exported files (Nogales.dat and Hobbs.dat) 
were provided as input to the program DAILY09, which reformats the NCDC format 
into the xyz column format required by INFIL V2.0. In addition to reformatting, 
DAILY09 also identifies gaps in the precipitation and the maximum and minimum air 
temperature records. Minor gaps (10 days or less for precipitation and 20 days or less 
for air temperature) are filled using an estimate of zero for precipitation and linear 
interpolation (arithmetic mean) between the days having records on either side of the 
gap for air temperature. Years having major gaps in the record are identified and 
omitted from the reformatted output. Average daily air temperature is estimated as the 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 C-2 November 2004 
mean of the recorded maximum and minimum daily air temperatures. Output from 
DAILY09, which includes the average daily air temperature estimate, is provided 
directly as input to INFIL V2.0. 
 Listing of FORTRAN77 Source code: 
A listing of the FORTRAN77 source code for the routine DAILY09 V1.0 along with 
examples of the input and output files used in the test plan are included at the end of 
this appendix. 
 Description of test(s): 
To evaluate the accuracy of the functions performed by the routine, the test plan 
utilizes the auxiliary output files created by DAILY09 so that the individual functions 
can be tested separately. The primary function performed by the routine is the 
re-formatting of the EARTHINFO export file (exported using the NCDC export 
format option) consisting of the daily climate record for a selected monitoring site. 
The EARTHINFO exported file consists of measured daily precipitation (in 
hundredths of inches), daily maximum air temperature (in degrees Fahrenheit), daily 
minimum air temperature (in degrees Fahrenheit), and daily snowfall depth (in tenths 
of inches). It is an ASCII file with the data organized in a pseudo-matrix format. 
There are 4 test cases used to evaluate the accuracy of DAILY09 in performing its 
expected calculations and formatting: (1) A visual inspection to ascertain that the 
reformatting of the data from the pseudo-matrix (EARTHINFO) into the column 
format required for input into INFIL doesnt change the values, (2) a visual inspection 
of the identification of gaps that eliminate years with gaps in precipitation greater 
than 10 days and air temperature greater than 20 days, (3) an arithmetic check to 
ensure that the mean of the maximum and minimum air temperature is correctly 
calculated for the day, and (4) a visual inspection of gaps in the record that identify 
gaps in precipitation less than 10 days and insert zeros, and a visual and arithmetic 
check to ensure that gaps in air temperature less than 20 days calculate a linear 
interpolation between the number preceding the gap and the number at the end of the 
gap. 
 Specify the range of input values to be used and why the range is valid: 
An example input is used for each test case that represents a random selection of 
values from the EARTHINFO output file that is transformed into the INFIL daily 
precipitation input file. A matching output file is used to determine if the 
transformation is accurate. 
C5. TEST RESULTS. 
 Output from test (explain difference between input range used and 
possible input): 
The output must provide, for each of the 4 test cases: (1) an accurate representation of 
the values reformatted, (2) the omission of years with gaps that exceed those number 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 C-3 November 2004 
of days specified, (3) the correct averaging of minimum and maximum air 
temperatures for a given day to no greater accuracy than zero decimal places, and (4) 
the insertion of zeros into precipitation records that have gaps for less than 10 days and 
the correct interpolation of air temperatures for gaps less than 20 days, to no greater 
accuracy than zero decimal places. 
 Description of how the testing shows that the results are correct for the 
specified input: 
If the testing results in output that conforms to the above criteria then the results are 
correct for the specified input. 
 List limitations or assumptions to this test case and code in general: 
Limitations to the developed test case consist of the selection only of a small number 
of values that are assumed to be representative of the entire file. 
 Electronic files identified by name and location: 
The following electronic files including DAILY09 V1.0 and selected analogue 
input and output files are provided: 
DAILY09.CTL: Input file consisting of the input and output file names for 
BLOCKR7, along with parameters needed to perform 
the 36 blocking ridge angle calculations. 
DAILY09.FOR: FORTRAN source code listing for the routine BLOCKR7. A 
printout of the source code is included as part of this appendix. 
DAILY09.EXE: Executable file for the routine BLOCKR7, compiled for INTEL 
processors. 
ROSALIA.DAT: ASCII text file exported from the EARTHINFO NOAA daily 
climate records WEST2 database. This file is the input file to 
DAILY09 V1.0. 
ROSALIA.DAY: Auxiliary output file created by DAILY09 V1.0. The file contains 
all daily climate data provided by ROSALIA.DAT and is used to 
test for the proper re-formatting. The calculated average daily air 
temperature is included. This file is used only as part of the 
validation test for DAILY09. 
ROSALIA.INP: Primary output file created by DAILY09 V1.0. This file is used 
directly as input to INFIL V2.0 for defining the daily climate input 
parameters needed for simulating net infiltration. 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 C-4 November 2004 
C6. SUPPORTING INFORMATION. (INCLUDE BACKGROUND INFORMATION, 
SUCH AS REVISION TO A PREVIOUS ROUTINE OR MACRO, OR 
EXPLANATION OF THE STEPS PERFORMED TO RUN THE SOFTWARE. 
INCLUDE LISTINGS OF ALL ELECTRONIC FILES AND CODES USED). 
 Procedure for running routine: 
To run the routine DAILY09, an executable version of the code and all input files 
must be placed in the same directory. The routine is executed by typing DAILY09 in 
a DOS window or by double clicking on the file, DAILY09.EXE in Windows NT. The 
input and output file names and the parameters used for the blocking ridge calculations 
must be in the correct sequential order as specified in the routine control file, 
DAILY09.CTL (see example listing in this section) 
 Example listing of ROSALIA.DAT. 
This ASCII file is exported from EARTHINFO using the NCDC export format option. 
The data shown in this subset is for maximum daily air temperature (TMAX), 
followed by precipitation (PRCP), with the record starting in 
May (5) of 1948, continuing through November (11) of 1948. On the first two 
monthly records it is noted just above the top line how to read the file. Month 5 has no 
data (-99999) for temperature, month 6 has data in degrees Fahrenheit. 
Tmax 1948 5 (May) 1 (Day) 2 
(Day) 3 (Day) 
DLY45718002TMAX F19480599990310198-99999M10298-99999M10398-99999M10498-99999M10598- 
99999M10698-99999M10798-99999M10898-99999M10998-99999M11098-99999M11198-99999M11298- 
99999M11398-99999M11498-99999M11598-99999M11698-99999M11798-99999M11898-99999M11998- 
99999M12098-99999M12198-99999M12298-99999M12398-99999M12498-99999M12598-99999M12698- 
99999M12798-99999M12898-99999M12998-99999M13098-99999M13198-99999M1 
Tmax 1948 6 (June) 1 77 (F) 2 81 (F) 
3 67 (F) 
DLY45718002TMAX F19480699990310198 00077 10298 00081 10398 00067 10498 00066 10598 00079 
10698 00084 10798 00088 10898 00086 10998 00087 11098 00077 11198 00069 11298 00074 11398 
00071 11498 00076 11598 00071 11698 00066 11798 00069 11898 00073 11998 00077 12098 00065 
12198 00061 12298 00069 12398 00075 12498 00069 12598 00077 12698 00077 12798 00081 12898 
00086 12998 00091 13098 00083 13198-99999M1 
DLY45718002PRCPHI19480599990310198-99999M10298-99999M10398-99999M10498-99999M10598- 
99999M10698-99999M10798-99999M10898-99999M10998-99999M11098-99999M11198-99999M11298- 
99999M11398-99999M11498-99999M11598-99999M11698-99999M11798-99999M11898-99999M11998- 
99999M12098-99999M12198-99999M12298-99999M12398-99999M12498-99999M12598-99999M12698- 
99999M12798-99999M12898-99999M12998-99999M13098-99999M13198-99999M1 
DLY45718002PRCPHI19480699990310198 00000 10298 00000 10398 00000 10498 00017 10598 00001 
10698 00000 10798 00000 10898 00000 10998 00000 11098 00040 11198 00000 11298 00057 11398 
00005 11498 00002 11598 00000 11698 00046 11798 00012 11898 00000 11998 00000 12098 00000 
12198 00034 12298 00005 12398 00004 12498 00000 12598 00005 12698 00005 12798 00000 12898 
00000 12998 00000 13098 00002 13198-99999M1 
 Example listing of ROSALIA.DAY. 
DAILY09 uses the EARTHINFO data to reformat into *.DAY format prior to 
identification of gaps, conversions and averaging. When compared to the above 
EARTHINFO file it indicates that the reformatting done in DAILY09 is correct. This 
file also includes the conversion of air temperature from Fahrenheit to Celsius. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 C-5 November 2004 
June 1, 1948 in the EARTHINFO file above is 77 (F), June 2 is 81 (F). In file below 
the conversion results in June 1 = 25(C) and June 2 = 27.2(C), calculated as degrees 
C = (degrees F  32) * (5/9). 
Output file generated using program DAILY09.FOR 
Output file = Rosalia.day 
Daily climate record for Rosalia, Washington 
GU1 Upper bound glacial transition climate analog (4/12/1999) 
Station ID = 457180 
Dy = day 
Mo = month 
Yr = year 
Max = maximum 
Min = minimum 
Precip = total daily precipitation 
Temp = daily air temperature 
mm = millimeters 
deg C = degrees Celsius 
Data Flags: 
-999.9 = missing data value 
M = missing data flag 
A = accumulated measurement (multiple days) 
T = trace amount (less than measurement resolution) 
Record Dy Dy Max Min Snow 
Day of of Precip Temp Temp Fall 
Number Year Mo Mo Yr mm deg C deg C mm 
-------- ---- -- -- --- ------ ------- ------- ------- 
54177 1948 5 1 122 -999.9 M -999.9 M -999.9 M -999.9 M 
54178 1948 5 2 123 -999.9 M -999.9 M -999.9 M -999.9 M 
54179 1948 5 3 124 -999.9 M -999.9 M -999.9 M -999.9 M 
54180 1948 5 4 125 -999.9 M -999.9 M -999.9 M -999.9 M 
54181 1948 5 5 126 -999.9 M -999.9 M -999.9 M -999.9 M 
54182 1948 5 6 127 -999.9 M -999.9 M -999.9 M -999.9 M 
54183 1948 5 7 128 -999.9 M -999.9 M -999.9 M -999.9 M 
54184 1948 5 8 129 -999.9 M -999.9 M -999.9 M -999.9 M 
54185 1948 5 9 130 -999.9 M -999.9 M -999.9 M -999.9 M 
54186 1948 5 10 131 -999.9 M -999.9 M -999.9 M -999.9 M 
54187 1948 5 11 132 -999.9 M -999.9 M -999.9 M -999.9 M 
54188 1948 5 12 133 -999.9 M -999.9 M -999.9 M -999.9 M 
54189 1948 5 13 134 -999.9 M -999.9 M -999.9 M -999.9 M 
54190 1948 5 14 135 -999.9 M -999.9 M -999.9 M -999.9 M 
54191 1948 5 15 136 -999.9 M -999.9 M -999.9 M -999.9 M 
54192 1948 5 16 137 -999.9 M -999.9 M -999.9 M -999.9 M 
54193 1948 5 17 138 -999.9 M -999.9 M -999.9 M -999.9 M 
54194 1948 5 18 139 -999.9 M -999.9 M -999.9 M -999.9 M 
54195 1948 5 19 140 -999.9 M -999.9 M -999.9 M -999.9 M 
54196 1948 5 20 141 -999.9 M -999.9 M -999.9 M -999.9 M 
54197 1948 5 21 142 -999.9 M -999.9 M -999.9 M -999.9 M 
54198 1948 5 22 143 -999.9 M -999.9 M -999.9 M -999.9 M 
54199 1948 5 23 144 -999.9 M -999.9 M -999.9 M -999.9 M 
54200 1948 5 24 145 -999.9 M -999.9 M -999.9 M -999.9 M 
54201 1948 5 25 146 -999.9 M -999.9 M -999.9 M -999.9 M 
54202 1948 5 26 147 -999.9 M -999.9 M -999.9 M -999.9 M 
54203 1948 5 27 148 -999.9 M -999.9 M -999.9 M -999.9 M 
54204 1948 5 28 149 -999.9 M -999.9 M -999.9 M -999.9 M 
54205 1948 5 29 150 -999.9 M -999.9 M -999.9 M -999.9 M 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 C-6 November 2004 
Record Dy Dy Max Min Snow 
Day of of Precip Temp Temp Fall 
Number Year Mo Mo Yr mm deg C deg C mm 
-------- ---- -- -- --- ------ ------- ------- ------- 
54206 1948 5 30 151 -999.9 M -999.9 M -999.9 M -999.9 M 
54207 1948 5 31 152 -999.9 M -999.9 M -999.9 M -999.9 M 
54208 1948 6 1 153 0.0 25.0 7.8 0.0 
54209 1948 6 2 154 0.0 27.2 7.2 0.0 
54210 1948 6 3 155 0.0 19.4 10.0 0.0 
54211 1948 6 4 156 4.3 18.9 8.9 0.0 
54212 1948 6 5 157 0.3 26.1 7.2 0.0 
54213 1948 6 6 158 0.0 28.9 8.9 0.0 
54214 1948 6 7 159 0.0 31.1 8.9 0.0 
54215 1948 6 8 160 0.0 30.0 10.6 0.0 
54216 1948 6 9 161 0.0 30.6 15.0 0.0 
54217 1948 6 10 162 10.2 25.0 9.4 0.0 
54218 1948 6 11 163 0.0 20.6 10.6 0.0 
54219 1948 6 12 164 14.5 23.3 7.2 0.0 
54220 1948 6 13 165 1.3 21.7 11.7 0.0 
54221 1948 6 14 166 0.5 24.4 7.2 0.0 
54222 1948 6 15 167 0.0 21.7 10.6 0.0 
54223 1948 6 16 168 11.7 18.9 10.0 0.0 
54224 1948 6 17 169 3.0 20.6 7.2 0.0 
54225 1948 6 18 170 0.0 22.8 6.7 0.0 
54226 1948 6 19 171 0.0 25.0 7.2 0.0 
54227 1948 6 20 172 0.0 18.3 8.3 0.0 
54228 1948 6 21 173 8.6 16.1 8.3 0.0 
54229 1948 6 22 174 1.3 20.6 6.7 0.0 
54230 1948 6 23 175 1.0 23.9 7.2 0.0 
54231 1948 6 24 176 0.0 20.6 7.8 0.0 
54232 1948 6 25 177 1.3 25.0 5.6 0.0 
54233 1948 6 26 178 1.3 25.0 6.7 0.0 
54234 1948 6 27 179 0.0 27.2 6.7 0.0 
54235 1948 6 28 180 0.0 30.0 8.9 0.0 
54236 1948 6 29 181 0.0 32.8 9.4 0.0 
54237 1948 6 30 182 0.5 28.3 14.4 0.0 
 Example listing of ROSALIA.DAY. 
DAILY09 uses the EARTHINFO data to reformat into *.DAY format prior to 
identification of gaps and averaging, but following conversion from Fahrenheit to 
Celsius. The file below is precipitation for 1971 (Dec), 1972 (all) and 1973 (Jan and 
Feb only), following the reformatting and conversion to Celsius. The year 1972 has 
large gaps and when compared to the final input file will be omitted. 
Output file generated using program DAILY09.FOR 
Output file = Rosalia.day 
Daily climate record for Rosalia, Washington 
GU1 Upper bound glacial transition climate analog (4/12/1999) 
Station ID = 457180 
Dy = day 
Mo = month 
Yr = year 
Max = maximum 
Min = minimum 
Precip = total daily precipitation 
Temp = daily air temperature 
mm = millimeters 
deg C = degrees Celsius 
Data Flags: 
-999.9 = missing data value 
M = missing data flag 
A = accumulated measurement (multiple days) 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 C-7 November 2004 
T = trace amount (less than measurement resolution) 
Record Dy Dy Max Min Snow 
Day of of Precip Temp Temp Fall 
Number Year Mo Mo Yr mm deg C deg C mm 
-------- ---- -- -- --- ------ ------- ------- ------- 
62791 1971 12 1 335 0.0 1.1 -3.9 0.0 
62792 1971 12 2 336 0.0 3.9 -2.8 0.0 
62793 1971 12 3 337 0.0 T 2.8 -4.4 0.0 T 
62794 1971 12 4 338 0.0 1.7 -6.1 0.0 
62795 1971 12 5 339 5.1 2.2 -1.7 63.5 
62796 1971 12 6 340 0.0 2.8 -5.0 0.0 
62797 1971 12 7 341 0.0 -2.8 -16.1 0.0 
62798 1971 12 8 342 0.0 -6.7 -15.6 0.0 
62799 1971 12 9 343 0.0 2.8 -7.8 0.0 
62800 1971 12 10 344 0.0 2.2 -2.2 0.0 
62801 1971 12 11 345 7.6 0.0 -8.9 50.8 
62802 1971 12 12 346 2.0 1.1 -8.9 25.4 
62803 1971 12 13 347 0.0 0.0 -9.4 0.0 
62804 1971 12 14 348 0.0 0.6 -7.8 0.0 
62805 1971 12 15 349 0.0 1.1 -7.2 0.0 
62806 1971 12 16 350 3.6 -1.7 -13.3 76.2 
62807 1971 12 17 351 0.0 4.4 -1.7 0.0 
62808 1971 12 18 352 0.3 5.0 0.6 0.0 
62809 1971 12 19 353 0.0 3.3 -3.3 0.0 
62810 1971 12 20 354 0.0 0.6 -1.1 0.0 
62811 1971 12 21 355 3.0 2.2 -0.6 12.7 
62812 1971 12 22 356 2.0 3.9 0.0 0.0 
62813 1971 12 23 357 0.3 5.6 -1.7 0.0 
62814 1971 12 24 358 0.3 3.9 0.0 0.0 
62815 1971 12 25 359 0.0 6.1 -0.6 0.0 
62816 1971 12 26 360 0.0 3.3 -4.4 0.0 
62817 1971 12 27 361 0.0 -3.3 -10.0 0.0 
62818 1971 12 28 362 0.0 -1.7 -10.6 0.0 
62819 1971 12 29 363 3.0 -4.4 -8.9 25.4 
62820 1971 12 30 364 0.0 -5.0 -16.1 0.0 
62821 1971 12 31 365 0.8 0.6 -9.4 25.4 
62822 1972 1 1 1 0.0 0.6 -5.0 0.0 
62823 1972 1 2 2 0.0 2.8 -2.8 0.0 
62824 1972 1 3 3 0.0 -1.1 -12.8 0.0 
62825 1972 1 4 4 0.0 -3.9 -12.2 0.0 
62826 1972 1 5 5 1.3 -1.1 -6.7 2.5 
62827 1972 1 6 6 0.0 2.2 -1.7 0.0 
62828 1972 1 7 7 0.0 3.3 0.6 0.0 
62829 1972 1 8 8 0.5 3.9 -3.3 12.7 
62830 1972 1 9 9 0.0 2.8 -2.8 0.0 
62831 1972 1 10 10 0.0 2.2 -5.0 0.0 
62832 1972 1 11 11 1.8 1.7 -3.9 12.7 
62833 1972 1 12 12 0.0 4.4 -3.9 0.0 
62834 1972 1 13 13 0.0 -1.7 -11.7 0.0 
62835 1972 1 14 14 0.0 -5.0 -12.2 0.0 
62836 1972 1 15 15 0.0 -0.6 -6.7 0.0 
62837 1972 1 16 16 0.0 2.8 -1.7 0.0 
62838 1972 1 17 17 0.0 5.0 0.6 0.0 
62839 1972 1 18 18 1.3 4.4 -2.8 12.7 
62840 1972 1 19 19 7.6 3.9 -2.8 12.7 
62841 1972 1 20 20 14.7 6.7 2.8 0.0 
62842 1972 1 21 21 9.9 8.3 2.2 0.0 
62843 1972 1 22 22 0.0 7.2 1.1 0.0 
62844 1972 1 23 23 1.5 5.0 0.0 2.5 
62845 1972 1 24 24 0.0 1.7 -4.4 0.0 
62846 1972 1 25 25 8.9 -0.6 -7.2 101.6 
62847 1972 1 26 26 5.6 -6.1 -16.7 76.2 
62848 1972 1 27 27 0.0 -13.9 -18.9 0.0 
62849 1972 1 28 28 0.0 -12.2 -18.9 0.0 
62850 1972 1 29 29 2.0 -10.0 -18.3 12.7 
62851 1972 1 30 30 0.0 -6.7 -18.9 0.0 
62852 1972 1 31 31 0.0 -5.6 -16.1 0.0 
62853 1972 2 1 32 2.3 -8.9 -20.6 38.1 
62854 1972 2 2 33 0.0 -8.9 -23.3 0.0 
62855 1972 2 3 34 0.0 -6.7 -23.9 0.0 
62856 1972 2 4 35 0.0 -3.9 -21.1 0.0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 C-8 November 2004 
Record Dy Dy Max Min Snow 
Day of of Precip Temp Temp Fall 
Number Year Mo Mo Yr mm deg C deg C mm 
-------- ---- -- -- --- ------ ------- ------- ------- 
62857 1972 2 5 36 3.8 -3.3 -16.1 50.8 
62858 1972 2 6 37 5.3 0.6 -7.8 76.2 
62859 1972 2 7 38 0.0 1.7 -2.8 0.0 
62860 1972 2 8 39 0.0 3.3 -2.8 0.0 
62861 1972 2 9 40 0.0 2.8 -3.9 0.0 
62862 1972 2 10 41 0.0 1.1 -6.7 0.0 
62863 1972 2 11 42 0.0 1.7 -6.1 0.0 
62864 1972 2 12 43 0.0 3.9 0.0 0.0 
62865 1972 2 13 44 3.6 6.7 0.0 0.0 
62866 1972 2 14 45 0.0 3.3 -1.7 0.0 
62867 1972 2 15 46 5.1 2.2 -1.7 0.0 T 
62868 1972 2 16 47 0.0 8.3 1.7 0.0 
62869 1972 2 17 48 0.0 9.4 -2.2 0.0 
62870 1972 2 18 49 4.1 2.8 -1.7 0.0 
62871 1972 2 19 50 0.0 12.8 2.2 0.0 
62872 1972 2 20 51 4.1 13.3 1.1 0.0 
62873 1972 2 21 52 0.0 6.7 -1.1 0.0 
62874 1972 2 22 53 1.8 8.3 0.0 0.0 
62875 1972 2 23 54 0.0 6.1 -1.7 0.0 
62876 1972 2 24 55 6.6 5.0 -1.1 50.8 
62877 1972 2 25 56 0.0 6.1 -2.2 0.0 
62878 1972 2 26 57 0.0 3.9 -2.8 0.0 
62879 1972 2 27 58 7.6 11.1 0.6 0.0 
62880 1972 2 28 59 0.0 12.8 7.2 0.0 
62881 1972 2 29 60 0.0 13.9 0.0 0.0 
62882 1972 3 1 61 0.0 5.0 -3.3 0.0 
62883 1972 3 2 62 4.1 1.7 -2.2 25.4 
62884 1972 3 3 63 0.0 5.0 -2.8 0.0 
62885 1972 3 4 64 0.0 4.4 -2.8 0.0 
62886 1972 3 5 65 2.0 9.4 -2.2 0.0 
62887 1972 3 6 66 0.0 12.2 1.1 0.0 
62888 1972 3 7 67 0.0 4.4 -3.9 0.0 
62889 1972 3 8 68 0.0 4.4 -3.3 0.0 
62890 1972 3 9 69 0.0 12.2 0.6 0.0 
62891 1972 3 10 70 0.3 18.9 2.2 0.0 
62892 1972 3 11 71 4.6 13.9 5.6 0.0 
62893 1972 3 12 72 5.6 12.8 3.9 0.0 
62894 1972 3 13 73 7.9 10.0 6.7 0.0 
62895 1972 3 14 74 0.0 12.8 1.7 0.0 
62896 1972 3 15 75 0.0 10.6 2.2 0.0 
62897 1972 3 16 76 0.0 14.4 4.4 0.0 
62898 1972 3 17 77 0.0 18.3 5.6 0.0 
62899 1972 3 18 78 0.0 20.6 6.7 0.0 
62900 1972 3 19 79 0.8 11.7 2.8 0.0 
62901 1972 3 20 80 0.0 10.0 2.2 0.0 
62902 1972 3 21 81 0.0 12.8 1.7 0.0 
62903 1972 3 22 82 0.0 15.6 4.4 0.0 
62904 1972 3 23 83 0.0 14.4 0.0 0.0 
62905 1972 3 24 84 0.0 7.2 -0.6 0.0 
62906 1972 3 25 85 2.3 8.9 -3.9 0.0 
62907 1972 3 26 86 0.0 5.6 -3.9 0.0 
62908 1972 3 27 87 0.0 5.0 -1.7 0.0 
62909 1972 3 28 88 1.5 6.1 -1.1 25.4 
62910 1972 3 29 89 0.0 7.2 -2.8 0.0 
62911 1972 3 30 90 0.0 11.7 0.0 0.0 
62912 1972 3 31 91 0.0 13.3 0.6 0.0 
62913 1972 4 1 92 3.3 16.1 5.6 0.0 
62914 1972 4 2 93 0.0 14.4 -3.9 0.0 
62915 1972 4 3 94 0.0 10.0 -3.3 0.0 
62916 1972 4 4 95 0.0 12.2 0.6 0.0 
62917 1972 4 5 96 0.5 12.8 5.6 0.0 
62918 1972 4 6 97 2.3 13.9 3.9 0.0 
62919 1972 4 7 98 1.5 11.7 0.0 0.0 
62920 1972 4 8 99 0.0 8.3 -0.6 0.0 
62921 1972 4 9 100 1.5 8.9 -1.7 0.0 
62922 1972 4 10 101 0.0 8.3 -3.3 0.0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 C-9 November 2004 
Record Dy Dy Max Min Snow 
Day of of Precip Temp Temp Fall 
Number Year Mo Mo Yr mm deg C deg C mm 
-------- ---- -- -- --- ------ ------- ------- ------- 
62923 1972 4 11 102 1.3 10.0 1.7 0.0 
62924 1972 4 12 103 3.3 6.7 1.7 0.0 
62925 1972 4 13 104 1.3 5.6 -2.2 0.0 
62926 1972 4 14 105 0.0 8.3 -2.2 0.0 
62927 1972 4 15 106 0.0 12.2 2.2 0.0 
62928 1972 4 16 107 0.0 11.7 0.6 0.0 
62929 1972 4 17 108 0.0 7.8 -2.8 0.0 
62930 1972 4 18 109 0.0 5.6 -5.0 0.0 
62931 1972 4 19 110 0.0 8.9 -3.9 0.0 
62932 1972 4 20 111 0.0 12.8 0.0 0.0 
62933 1972 4 21 112 0.0 12.8 3.3 0.0 
62934 1972 4 22 113 0.0 9.4 -5.0 0.0 
62935 1972 4 23 114 0.0 8.9 -1.1 0.0 
62936 1972 4 24 115 0.0 21.1 7.2 0.0 
62937 1972 4 25 116 0.0 13.3 0.6 0.0 
62938 1972 4 26 117 0.0 11.7 -1.7 0.0 
62939 1972 4 27 118 0.0 15.0 0.6 0.0 
62940 1972 4 28 119 0.0 23.3 5.6 0.0 
62941 1972 4 29 120 0.0 8.3 -3.3 0.0 
62942 1972 4 30 121 0.0 10.6 -3.9 0.0 
62943 1972 5 1 122 0.0 11.7 -3.3 0.0 
62944 1972 5 2 123 0.0 16.7 0.6 0.0 
62945 1972 5 3 124 0.0 20.6 2.8 0.0 
62946 1972 5 4 125 0.0 22.2 4.4 0.0 
62947 1972 5 5 126 0.0 23.3 4.4 0.0 
62948 1972 5 6 127 0.0 22.2 8.3 0.0 
62949 1972 5 7 128 0.0 18.9 5.6 0.0 
62950 1972 5 8 129 16.8 15.6 4.4 0.0 
62951 1972 5 9 130 24.4 6.7 2.8 0.0 
62952 1972 5 10 131 1.8 8.9 4.4 0.0 
62953 1972 5 11 132 0.0 15.6 5.6 0.0 
62954 1972 5 12 133 0.0 17.8 6.7 0.0 
62955 1972 5 13 134 0.0 21.7 8.3 0.0 
62956 1972 5 14 135 0.0 25.0 7.2 0.0 
62957 1972 5 15 136 0.0 23.9 10.0 0.0 
62958 1972 5 16 137 0.0 21.1 8.3 0.0 
62959 1972 5 17 138 0.0 22.2 9.4 0.0 
62960 1972 5 18 139 2.3 15.0 2.2 0.0 
62961 1972 5 19 140 0.0 14.4 3.9 0.0 
62962 1972 5 20 141 0.0 25.0 8.9 0.0 
62963 1972 5 21 142 0.0 22.2 8.3 0.0 
62964 1972 5 22 143 5.6 9.4 6.1 0.0 
62965 1972 5 23 144 0.0 15.6 3.3 0.0 
62966 1972 5 24 145 0.0 14.4 3.3 0.0 
62967 1972 5 25 146 0.0 13.9 0.6 0.0 
62968 1972 5 26 147 0.0 18.3 3.9 0.0 
62969 1972 5 27 148 0.0 22.8 8.3 0.0 
62970 1972 5 28 149 0.0 27.2 12.2 0.0 
62971 1972 5 29 150 0.0 28.3 12.2 0.0 
62972 1972 5 30 151 0.0 31.1 13.3 0.0 
62973 1972 5 31 152 0.0 29.4 13.9 0.0 
62974 1972 6 1 153 -999.9 M -999.9 M -999.9 M -999.9 M 
62975 1972 6 2 154 -999.9 M -999.9 M -999.9 M -999.9 M 
62976 1972 6 3 155 -999.9 M -999.9 M -999.9 M -999.9 M 
62977 1972 6 4 156 -999.9 M -999.9 M -999.9 M -999.9 M 
62978 1972 6 5 157 -999.9 M -999.9 M -999.9 M -999.9 M 
62979 1972 6 6 158 -999.9 M -999.9 M -999.9 M -999.9 M 
62980 1972 6 7 159 -999.9 M -999.9 M -999.9 M -999.9 M 
62981 1972 6 8 160 -999.9 M -999.9 M -999.9 M -999.9 M 
62982 1972 6 9 161 -999.9 M -999.9 M -999.9 M -999.9 M 
62983 1972 6 10 162 -999.9 M -999.9 M -999.9 M -999.9 M 
62984 1972 6 11 163 -999.9 M -999.9 M -999.9 M -999.9 M 
62985 1972 6 12 164 -999.9 M -999.9 M -999.9 M -999.9 M 
62986 1972 6 13 165 -999.9 M -999.9 M -999.9 M -999.9 M 
62987 1972 6 14 166 -999.9 M -999.9 M -999.9 M -999.9 M 
62988 1972 6 15 167 -999.9 M -999.9 M -999.9 M -999.9 M 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 C-10 November 2004 
Record Dy Dy Max Min Snow 
Day of of Precip Temp Temp Fall 
Number Year Mo Mo Yr mm deg C deg C mm 
-------- ---- -- -- --- ------ ------- ------- ------- 
62989 1972 6 16 168 -999.9 M -999.9 M -999.9 M -999.9 M 
62990 1972 6 17 169 -999.9 M -999.9 M -999.9 M -999.9 M 
62991 1972 6 18 170 -999.9 M -999.9 M -999.9 M -999.9 M 
62992 1972 6 19 171 -999.9 M -999.9 M -999.9 M -999.9 M 
62993 1972 6 20 172 -999.9 M -999.9 M -999.9 M -999.9 M 
62994 1972 6 21 173 -999.9 M -999.9 M -999.9 M -999.9 M 
62995 1972 6 22 174 -999.9 M -999.9 M -999.9 M -999.9 M 
62996 1972 6 23 175 -999.9 M -999.9 M -999.9 M -999.9 M 
62997 1972 6 24 176 -999.9 M -999.9 M -999.9 M -999.9 M 
62998 1972 6 25 177 -999.9 M -999.9 M -999.9 M -999.9 M 
62999 1972 6 26 178 -999.9 M -999.9 M -999.9 M -999.9 M 
63000 1972 6 27 179 -999.9 M -999.9 M -999.9 M -999.9 M 
63001 1972 6 28 180 -999.9 M -999.9 M -999.9 M -999.9 M 
63002 1972 6 29 181 -999.9 M -999.9 M -999.9 M -999.9 M 
63003 1972 6 30 182 -999.9 M -999.9 M -999.9 M -999.9 M 
63004 1972 7 1 183 0.0 27.8 6.1 0.0 
63005 1972 7 2 184 0.0 23.3 7.8 0.0 
63006 1972 7 3 185 0.0 23.9 8.3 0.0 
63007 1972 7 4 186 0.0 26.7 7.8 0.0 
63008 1972 7 5 187 0.0 31.1 6.7 0.0 
63009 1972 7 6 188 0.0 32.2 16.1 0.0 
63010 1972 7 7 189 5.8 33.3 10.6 0.0 
63011 1972 7 8 190 0.0 27.8 11.1 0.0 
63012 1972 7 9 191 1.5 25.6 8.9 0.0 
63013 1972 7 10 192 0.0 20.0 3.3 0.0 
63014 1972 7 11 193 3.0 21.1 9.4 0.0 
63015 1972 7 12 194 0.0 20.0 10.6 0.0 
63016 1972 7 13 195 0.0 29.4 15.6 0.0 
63017 1972 7 14 196 0.0 26.7 8.3 0.0 
63018 1972 7 15 197 0.0 27.2 6.1 0.0 
63019 1972 7 16 198 0.0 27.8 7.2 0.0 
63020 1972 7 17 199 0.0 29.4 10.6 0.0 
63021 1972 7 18 200 0.0 28.3 10.0 0.0 
63022 1972 7 19 201 0.0 26.7 9.4 0.0 
63023 1972 7 20 202 0.0 20.6 10.6 0.0 
63024 1972 7 21 203 5.6 21.7 8.9 0.0 
63025 1972 7 22 204 0.5 18.3 8.9 0.0 
63026 1972 7 23 205 0.0 27.2 10.6 0.0 
63027 1972 7 24 206 0.0 28.9 9.4 0.0 
63028 1972 7 25 207 0.0 24.4 10.0 0.0 
63029 1972 7 26 208 0.0 28.9 7.2 0.0 
63030 1972 7 27 209 0.0 30.6 8.3 0.0 
63031 1972 7 28 210 0.0 29.4 8.9 0.0 
63032 1972 7 29 211 0.0 33.9 10.0 0.0 
63033 1972 7 30 212 0.0 35.0 12.8 0.0 
63034 1972 7 31 213 0.0 33.9 11.1 0.0 
63035 1972 8 1 214 0.0 33.3 11.7 0.0 
63036 1972 8 2 215 0.0 30.0 7.8 0.0 
63037 1972 8 3 216 0.0 28.3 8.9 0.0 
63038 1972 8 4 217 0.0 30.6 7.8 0.0 
63039 1972 8 5 218 0.0 32.8 8.9 0.0 
63040 1972 8 6 219 0.0 35.0 10.0 0.0 
63041 1972 8 7 220 0.0 37.2 10.6 0.0 
63042 1972 8 8 221 0.0 38.3 14.4 0.0 
63043 1972 8 9 222 0.0 39.4 18.3 0.0 
63044 1972 8 10 223 0.0 35.0 12.8 0.0 
63045 1972 8 11 224 0.0 32.8 11.7 0.0 
63046 1972 8 12 225 0.0 29.4 12.2 0.0 
63047 1972 8 13 226 0.0 27.2 11.7 0.0 
63048 1972 8 14 227 0.0 26.7 7.8 0.0 
63049 1972 8 15 228 0.0 32.2 13.3 0.0 
63050 1972 8 16 229 21.6 A 23.3 7.8 0.0 
63051 1972 8 17 230 0.5 23.9 10.0 0.0 
63052 1972 8 18 231 0.0 20.0 5.0 0.0 
63053 1972 8 19 232 0.0 26.7 6.7 0.0 
63054 1972 8 20 233 0.0 25.6 10.0 0.0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 C-11 November 2004 
Record Dy Dy Max Min Snow 
Day of of Precip Temp Temp Fall 
Number Year Mo Mo Yr mm deg C deg C mm 
-------- ---- -- -- --- ------ ------- ------- ------- 
63055 1972 8 21 234 0.0 31.7 12.2 0.0 
63056 1972 8 22 235 0.8 29.4 9.4 0.0 
63057 1972 8 23 236 2.3 23.3 4.4 0.0 
63058 1972 8 24 237 0.0 23.9 7.2 0.0 
63059 1972 8 25 238 0.0 26.1 8.9 0.0 
63060 1972 8 26 239 0.0 31.1 11.7 0.0 
63061 1972 8 27 240 0.0 32.8 11.7 0.0 
63062 1972 8 28 241 0.0 35.0 13.3 0.0 
63063 1972 8 29 242 0.0 36.7 11.7 0.0 
63064 1972 8 30 243 0.0 33.3 10.0 0.0 
63065 1972 8 31 244 0.0 25.6 2.2 0.0 
63066 1972 9 1 245 0.0 26.1 4.4 0.0 
63067 1972 9 2 246 0.0 26.7 2.8 0.0 
63068 1972 9 3 247 0.0 29.4 5.6 0.0 
63069 1972 9 4 248 0.0 30.0 5.0 0.0 
63070 1972 9 5 249 0.0 31.1 9.4 0.0 
63071 1972 9 6 250 0.0 22.2 5.6 0.0 
63072 1972 9 7 251 0.0 19.4 3.3 0.0 
63073 1972 9 8 252 0.0 22.2 7.2 0.0 
63074 1972 9 9 253 0.5 23.9 5.6 0.0 
63075 1972 9 10 254 0.0 18.3 0.6 0.0 
63076 1972 9 11 255 0.0 20.6 1.1 0.0 
63077 1972 9 12 256 6.6 21.1 6.7 0.0 
63078 1972 9 13 257 0.3 13.3 1.7 0.0 
63079 1972 9 14 258 0.0 22.2 3.3 0.0 
63080 1972 9 15 259 0.0 25.0 4.4 0.0 
63081 1972 9 16 260 0.0 25.6 6.7 0.0 
63082 1972 9 17 261 0.0 25.0 10.6 0.0 
63083 1972 9 18 262 0.0 20.6 2.2 0.0 
63084 1972 9 19 263 0.0 22.2 6.7 0.0 
63085 1972 9 20 264 0.3 14.4 3.9 0.0 
63086 1972 9 21 265 0.0 15.0 3.3 0.0 
63087 1972 9 22 266 7.6 19.4 1.1 0.0 
63088 1972 9 23 267 5.1 14.4 2.2 0.0 
63089 1972 9 24 268 3.0 12.8 0.6 0.0 
63090 1972 9 25 269 0.0 10.6 -2.2 0.0 
63091 1972 9 26 270 0.0 12.2 -0.6 0.0 
63092 1972 9 27 271 0.0 13.9 -3.3 0.0 
63093 1972 9 28 272 0.0 11.7 -1.7 0.0 
63094 1972 9 29 273 0.0 14.4 -0.6 0.0 
63095 1972 9 30 274 0.0 18.3 0.0 0.0 
63096 1972 10 1 275 0.0 23.3 1.1 0.0 
63097 1972 10 2 276 0.0 22.8 4.4 0.0 
63098 1972 10 3 277 0.0 23.9 2.8 0.0 
63099 1972 10 4 278 0.0 23.3 3.3 0.0 
63100 1972 10 5 279 0.0 19.4 2.8 0.0 
63101 1972 10 6 280 0.0 20.0 -3.9 0.0 
63102 1972 10 7 281 0.0 20.0 -2.8 0.0 
63103 1972 10 8 282 0.0 21.7 -1.7 0.0 
63104 1972 10 9 283 0.0 23.9 3.9 0.0 
63105 1972 10 10 284 0.0 18.3 5.6 0.0 
63106 1972 10 11 285 4.8 14.4 3.9 0.0 
63107 1972 10 12 286 0.0 15.0 1.7 0.0 
63108 1972 10 13 287 0.0 18.3 1.7 0.0 
63109 1972 10 14 288 0.0 11.1 3.9 0.0 
63110 1972 10 15 289 0.0 18.3 -1.7 0.0 
63111 1972 10 16 290 0.0 16.7 -1.1 0.0 
63112 1972 10 17 291 0.0 17.8 0.0 0.0 
63113 1972 10 18 292 0.0 17.2 -1.7 0.0 
63114 1972 10 19 293 0.0 18.3 -2.8 0.0 
63115 1972 10 20 294 0.0 17.2 -3.3 0.0 
63116 1972 10 21 295 0.0 17.2 -1.1 0.0 
63117 1972 10 22 296 0.0 17.8 1.1 0.0 
63118 1972 10 23 297 0.0 18.9 2.8 0.0 
63119 1972 10 24 298 0.0 13.9 -4.4 0.0 
63120 1972 10 25 299 0.0 12.8 -2.2 0.0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 C-12 November 2004 
Record Dy Dy Max Min Snow 
Day of of Precip Temp Temp Fall 
Number Year Mo Mo Yr mm deg C deg C mm 
-------- ---- -- -- --- ------ ------- ------- ------- 
63121 1972 10 26 300 0.5 17.2 -0.6 0.0 
63122 1972 10 27 301 0.3 9.4 -3.3 0.0 
63123 1972 10 28 302 0.0 T 7.2 -3.9 0.0 T 
63124 1972 10 29 303 8.6 3.9 -3.9 0.0 
63125 1972 10 30 304 0.0 3.3 -5.0 0.0 
63126 1972 10 31 305 0.0 2.2 -3.3 0.0 
63127 1972 11 1 306 0.0 4.4 -1.1 0.0 
63128 1972 11 2 307 3.8 5.0 1.1 0.0 
63129 1972 11 3 308 0.0 11.1 3.9 0.0 
63130 1972 11 4 309 6.4 11.1 4.4 0.0 
63131 1972 11 5 310 2.3 12.2 2.8 0.0 
63132 1972 11 6 311 0.0 9.4 0.0 0.0 
63133 1972 11 7 312 0.0 10.0 2.8 0.0 
63134 1972 11 8 313 0.0 11.7 3.3 0.0 
63135 1972 11 9 314 0.0 4.4 0.6 0.0 
63136 1972 11 10 315 0.0 10.0 1.7 0.0 
63137 1972 11 11 316 0.0 11.7 1.1 0.0 
63138 1972 11 12 317 0.0 11.1 2.8 0.0 
63139 1972 11 13 318 0.0 5.6 -1.1 0.0 
63140 1972 11 14 319 0.0 11.1 0.0 0.0 
63141 1972 11 15 320 0.5 10.6 0.6 0.0 
63142 1972 11 16 321 0.0 10.0 0.6 0.0 
63143 1972 11 17 322 0.0 13.3 1.1 0.0 
63144 1972 11 18 323 0.0 6.1 2.2 0.0 
63145 1972 11 19 324 1.5 7.8 1.1 0.0 
63146 1972 11 20 325 0.0 7.2 -1.1 0.0 
63147 1972 11 21 326 0.0 4.4 -2.8 0.0 
63148 1972 11 22 327 0.0 6.1 -3.3 0.0 
63149 1972 11 23 328 0.0 6.1 -2.8 0.0 
63150 1972 11 24 329 0.0 2.8 -1.7 0.0 
63151 1972 11 25 330 0.0 3.9 -1.7 0.0 
63152 1972 11 26 331 5.8 3.9 -1.7 0.0 
63153 1972 11 27 332 0.0 5.6 -5.6 0.0 
63154 1972 11 28 333 0.0 3.9 -5.0 0.0 
63155 1972 11 29 334 0.0 3.3 -5.0 0.0 
63156 1972 11 30 335 0.0 2.8 -0.6 0.0 
63157 1972 12 1 336 0.0 4.4 1.1 0.0 
63158 1972 12 2 337 1.8 8.9 -0.6 0.0 
63159 1972 12 3 338 0.0 5.0 -8.9 0.0 
63160 1972 12 4 339 0.0 -5.6 -15.0 0.0 
63161 1972 12 5 340 0.0 -7.8 -16.7 0.0 
63162 1972 12 6 341 0.0 -7.8 -14.4 0.0 
63163 1972 12 7 342 0.0 -10.6 -15.6 0.0 
63164 1972 12 8 343 0.0 -11.1 -21.7 0.0 
63165 1972 12 9 344 0.0 -12.2 -23.3 0.0 
63166 1972 12 10 345 0.0 -10.0 -23.9 0.0 
63167 1972 12 11 346 0.0 -11.1 -17.8 0.0 
63168 1972 12 12 347 2.5 -7.2 -12.2 50.8 
63169 1972 12 13 348 1.8 -6.1 -21.1 63.5 
63170 1972 12 14 349 0.0 -8.3 -19.4 0.0 
63171 1972 12 15 350 0.0 -2.8 -12.2 0.0 
63172 1972 12 16 351 0.0 0.6 -8.9 0.0 
63173 1972 12 17 352 6.6 3.3 0.0 0.0 
63174 1972 12 18 353 6.6 4.4 1.1 0.0 
63175 1972 12 19 354 3.8 7.2 1.7 0.0 
63176 1972 12 20 355 0.0 7.8 3.3 0.0 
63177 1972 12 21 356 6.9 9.4 3.3 0.0 
63178 1972 12 22 357 13.0 10.6 3.3 0.0 
63179 1972 12 23 358 0.0 7.2 2.8 0.0 
63180 1972 12 24 359 13.2 6.1 1.1 0.0 
63181 1972 12 25 360 0.0 5.0 0.6 0.0 
63182 1972 12 26 361 0.0 9.4 2.2 0.0 
63183 1972 12 27 362 1.3 8.3 3.3 0.0 
63184 1972 12 28 363 1.8 8.9 -0.6 0.0 
63185 1972 12 29 364 0.0 3.9 -4.4 0.0 
63186 1972 12 30 365 0.0 1.7 -4.4 0.0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 C-13 November 2004 
Record Dy Dy Max Min Snow 
Day of of Precip Temp Temp Fall 
Number Year Mo Mo Yr mm deg C deg C mm 
-------- ---- -- -- --- ------ ------- ------- ------- 
63187 1972 12 31 366 0.0 0.6 -4.4 0.0 
63188 1973 1 1 1 0.0 1.1 -3.9 0.0 
63189 1973 1 2 2 0.0 3.9 -5.0 0.0 
63190 1973 1 3 3 0.0 2.2 -8.9 0.0 
63191 1973 1 4 4 0.0 -1.7 -13.9 0.0 
63192 1973 1 5 5 0.0 -5.6 -12.8 0.0 
63193 1973 1 6 6 0.0 -7.8 -16.7 0.0 
63194 1973 1 7 7 0.0 -6.7 -17.2 0.0 
63195 1973 1 8 8 0.0 -9.4 -16.1 0.0 
63196 1973 1 9 9 0.0 -7.8 -15.6 0.0 
63197 1973 1 10 10 0.0 -5.0 -16.1 0.0 
63198 1973 1 11 11 5.6 -2.8 -15.6 25.4 
63199 1973 1 12 12 8.4 2.8 -6.7 0.0 T 
63200 1973 1 13 13 13.5 6.1 -3.9 0.0 
63201 1973 1 14 14 1.3 8.9 4.4 0.0 
63202 1973 1 15 15 0.0 11.1 4.4 0.0 
63203 1973 1 16 16 5.6 10.6 3.9 0.0 
63204 1973 1 17 17 4.3 7.2 0.6 0.0 
63205 1973 1 18 18 0.0 7.2 0.0 0.0 
63206 1973 1 19 19 0.0 5.0 -1.7 0.0 
63207 1973 1 20 20 0.0 1.7 -2.8 0.0 
63208 1973 1 21 21 2.5 0.6 -4.4 12.7 
63209 1973 1 22 22 0.0 2.8 -5.0 0.0 
63210 1973 1 23 23 0.0 1.7 -5.6 0.0 
63211 1973 1 24 24 0.0 5.6 -1.1 0.0 
63212 1973 1 25 25 0.0 4.4 0.0 0.0 
63213 1973 1 26 26 0.0 4.4 -6.1 0.0 
63214 1973 1 27 27 0.0 2.8 -6.7 0.0 
63215 1973 1 28 28 0.0 3.9 -6.1 0.0 
63216 1973 1 29 29 0.0 6.1 -3.3 0.0 
63217 1973 1 30 30 3.0 2.8 -3.3 12.7 
63218 1973 1 31 31 4.1 4.4 -1.7 25.4 
63219 1973 2 1 32 0.0 2.2 -3.9 0.0 
63220 1973 2 2 33 0.0 5.0 -3.9 0.0 
63221 1973 2 3 34 0.0 6.1 0.6 0.0 
63222 1973 2 4 35 0.0 5.6 -1.7 0.0 
63223 1973 2 5 36 0.0 3.9 -3.9 0.0 
63224 1973 2 6 37 0.0 2.8 -5.6 0.0 
63225 1973 2 7 38 0.0 0.0 -6.7 0.0 
63226 1973 2 8 39 0.0 3.9 -8.9 0.0 
63227 1973 2 9 40 0.0 4.4 -8.9 0.0 
63228 1973 2 10 41 0.0 2.2 -5.0 0.0 
 Example listing of ROSALIA.INP. 
This is the main output file from DAILY09 V1.0, generated using the exported 
EARTHINFO record for Rosalia, WA. The file is used directly as input to INFIL 
V2.0. The file includes 1971 and 1973. As the data from the entire month of June in 
1972 was missing in the above file, it is omitted from the final file indicated below. 
This verifies the omission of years when the gap identified is large (greater than 10 
days for precipitation and greater than 20 for air temperature). In addition, the 
following file illustrates the additional column of mean air temperature calculated as 
(TMAX+TMIN)/2. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 C-14 November 2004 
Output file generated using program DAILY09.FOR 
Output file = Rosalia.inp 
Daily climate record for Rosalia, Washington 
GU1 Upper bound glacial transition climate analog (4/12/1999) 
Station ID = 457180 
Dy = day 
Mo = month 
Yr = year 
Max = maximum 
Min = minimum 
Precip = total daily precipitation 
Temp = daily air temperature 
mm = millimeters 
deg C = degrees Celsius 
Data Flags: 
-999.9 = missing data 
M = missing data flag 
A = accumulated measurement (multiple days) 
T = trace amount (less than measurement resolution) 
C1 = calculated value (type 1 calculation) 
E1 = estimated value (type 1 estimation) 
E2 = estimated value (type 2 estimation) 
E3 = estimated value (type 3 estimation) 
Record Dy Dy Max Min Mean Snow 
Day of of Precip Temp Temp Temp Fall 
Number Year Mo Mo Yr mm deg C deg C deg C mm 
-------- ---- -- -- --- ------ ------- ------- ------- ------- 
62791 1971 12 1 335 0.0 1.1 -3.9 -1.4 C1 0.0 
62792 1971 12 2 336 0.0 3.9 -2.8 0.6 C1 0.0 
62793 1971 12 3 337 0.0 T 2.8 -4.4 -0.8 C1 0.0 T 
62794 1971 12 4 338 0.0 1.7 -6.1 -2.2 C1 0.0 
62795 1971 12 5 339 5.1 2.2 -1.7 0.3 C1 63.5 
62796 1971 12 6 340 0.0 2.8 -5.0 -1.1 C1 0.0 
62797 1971 12 7 341 0.0 -2.8 -16.1 -9.4 C1 0.0 
62798 1971 12 8 342 0.0 -6.7 -15.6 -11.1 C1 0.0 
62799 1971 12 9 343 0.0 2.8 -7.8 -2.5 C1 0.0 
62800 1971 12 10 344 0.0 2.2 -2.2 0.0 C1 0.0 
62801 1971 12 11 345 7.6 0.0 -8.9 -4.4 C1 50.8 
62802 1971 12 12 346 2.0 1.1 -8.9 -3.9 C1 25.4 
62803 1971 12 13 347 0.0 0.0 -9.4 -4.7 C1 0.0 
62804 1971 12 14 348 0.0 0.6 -7.8 -3.6 C1 0.0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 C-15 November 2004 
Record Dy Dy Max Min Mean Snow 
Day of of Precip Temp Temp Temp Fall 
Number Year Mo Mo Yr mm deg C deg C deg C mm 
-------- ---- -- -- --- ------ ------- ------- ------- ------- 
62805 1971 12 15 349 0.0 1.1 -7.2 -3.1 C1 0.0 
62806 1971 12 16 350 3.6 -1.7 -13.3 -7.5 C1 76.2 
62807 1971 12 17 351 0.0 4.4 -1.7 1.4 C1 0.0 
62808 1971 12 18 352 0.3 5.0 0.6 2.8 C1 0.0 
62809 1971 12 19 353 0.0 3.3 -3.3 0.0 C1 0.0 
62810 1971 12 20 354 0.0 0.6 -1.1 -0.3 C1 0.0 
62811 1971 12 21 355 3.0 2.2 -0.6 0.8 C1 12.7 
62812 1971 12 22 356 2.0 3.9 0.0 1.9 C1 0.0 
62813 1971 12 23 357 0.3 5.6 -1.7 1.9 C1 0.0 
62814 1971 12 24 358 0.3 3.9 0.0 1.9 C1 0.0 
62815 1971 12 25 359 0.0 6.1 -0.6 2.8 C1 0.0 
62816 1971 12 26 360 0.0 3.3 -4.4 -0.6 C1 0.0 
62817 1971 12 27 361 0.0 -3.3 -10.0 -6.7 C1 0.0 
62818 1971 12 28 362 0.0 -1.7 -10.6 -6.1 C1 0.0 
62819 1971 12 29 363 3.0 -4.4 -8.9 -6.7 C1 25.4 
62820 1971 12 30 364 0.0 -5.0 -16.1 -10.6 C1 0.0 
62821 1971 12 31 365 0.8 0.6 -9.4 -4.4 C1 25.4 
63188 1973 1 1 1 0.0 1.1 -3.9 -1.4 C1 0.0 
63189 1973 1 2 2 0.0 3.9 -5.0 -0.6 C1 0.0 
63190 1973 1 3 3 0.0 2.2 -8.9 -3.3 C1 0.0 
63191 1973 1 4 4 0.0 -1.7 -13.9 -7.8 C1 0.0 
63192 1973 1 5 5 0.0 -5.6 -12.8 -9.2 C1 0.0 
63193 1973 1 6 6 0.0 -7.8 -16.7 -12.2 C1 0.0 
63194 1973 1 7 7 0.0 -6.7 -17.2 -11.9 C1 0.0 
63195 1973 1 8 8 0.0 -9.4 -16.1 -12.8 C1 0.0 
63196 1973 1 9 9 0.0 -7.8 -15.6 -11.7 C1 0.0 
63197 1973 1 10 10 0.0 -5.0 -16.1 -10.6 C1 0.0 
63198 1973 1 11 11 5.6 -2.8 -15.6 -9.2 C1 25.4 
63199 1973 1 12 12 8.4 2.8 -6.7 -1.9 C1 0.0 T 
63200 1973 1 13 13 13.5 6.1 -3.9 1.1 C1 0.0 
63201 1973 1 14 14 1.3 8.9 4.4 6.7 C1 0.0 
63202 1973 1 15 15 0.0 11.1 4.4 7.8 C1 0.0 
63203 1973 1 16 16 5.6 10.6 3.9 7.2 C1 0.0 
63204 1973 1 17 17 4.3 7.2 0.6 3.9 C1 0.0 
63205 1973 1 18 18 0.0 7.2 0.0 3.6 C1 0.0 
63206 1973 1 19 19 0.0 5.0 -1.7 1.7 C1 0.0 
63207 1973 1 20 20 0.0 1.7 -2.8 -0.6 C1 0.0 
63208 1973 1 21 21 2.5 0.6 -4.4 -1.9 C1 12.7 
63209 1973 1 22 22 0.0 2.8 -5.0 -1.1 C1 0.0 
63210 1973 1 23 23 0.0 1.7 -5.6 -1.9 C1 0.0 
63211 1973 1 24 24 0.0 5.6 -1.1 2.2 C1 0.0 
63212 1973 1 25 25 0.0 4.4 0.0 2.2 C1 0.0 
63213 1973 1 26 26 0.0 4.4 -6.1 -0.8 C1 0.0 
63214 1973 1 27 27 0.0 2.8 -6.7 -1.9 C1 0.0 
63215 1973 1 28 28 0.0 3.9 -6.1 -1.1 C1 0.0 
63216 1973 1 29 29 0.0 6.1 -3.3 1.4 C1 0.0 
63217 1973 1 30 30 3.0 2.8 -3.3 -0.3 C1 12.7 
63218 1973 1 31 31 4.1 4.4 -1.7 1.4 C1 25.4 
63219 1973 2 1 32 0.0 2.2 -3.9 -0.8 C1 0.0 
63220 1973 2 2 33 0.0 5.0 -3.9 0.6 C1 0.0 
63221 1973 2 3 34 0.0 6.1 0.6 3.3 C1 0.0 
63222 1973 2 4 35 0.0 5.6 -1.7 1.9 C1 0.0 
63223 1973 2 5 36 0.0 3.9 -3.9 0.0 C1 0.0 
63224 1973 2 6 37 0.0 2.8 -5.6 -1.4 C1 0.0 
63225 1973 2 7 38 0.0 0.0 -6.7 -3.3 C1 0.0 
63226 1973 2 8 39 0.0 3.9 -8.9 -2.5 C1 0.0 
63227 1973 2 9 40 0.0 4.4 -8.9 -2.2 C1 0.0 
63228 1973 2 10 41 0.0 2.2 -5.0 -1.4 C1 0.0 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 C-16 November 2004 
 Example listing of ROSALIA.DAY indicating small gaps in precipitation and 
air temperature data. 
Output file generated using program DAILY09.FOR 
Output file = Rosalia.day 
Daily climate record for Rosalia, Washington 
GU1 Upper bound glacial transition climate analog (4/12/1999) 
Station ID = 457180 
Dy = day 
Mo = month 
Yr = year 
Max = maximum 
Min = minimum 
Precip = total daily precipitation 
Temp = daily air temperature 
mm = millimeters 
deg C = degrees Celsius 
Data Flags: 
-999.9 = missing data value 
M = missing data flag 
A = accumulated measurement (multiple days) 
T = trace amount (less than measurement resolution) 
Record Dy Dy Max Min Snow 
Day of of Precip Temp Temp Fall 
Number Year Mo Mo Yr mm deg C deg C mm 
-------- ---- -- -- --- ------ ------- ------- ------- 
71263 1995 2 10 41 0.0 8.3 -1.7 0.0 
71264 1995 2 11 42 0.0 6.1 -2.8 0.0 
71265 1995 2 12 43 0.0 1.1 -8.9 0.0 
71266 1995 2 13 44 -999.9 M -6.7 -12.2 -999.9 M 
71267 1995 2 14 45 0.8 -7.2 -12.2 12.7 
71268 1995 2 15 46 0.0 -6.7 -11.7 0.0 
71269 1995 2 16 47 3.8 2.2 -999.9 M 50.8 
71270 1995 2 17 48 13.7 4.4 0.0 0.0 
71271 1995 2 18 49 0.0 7.8 1.1 0.0 
71272 1995 2 19 50 8.9 11.1 2.8 0.0 
71273 1995 2 20 51 5.8 13.3 8.3 0.0 
 Example listing of ROSALIA.INP illustrating that the gap in precipitation is 
replaced by a zero, and the gap in air temperature is replaced with a linear 
interpolation between the numbers on either side of the gap. 
Output file generated using program DAILY09.FOR 
Output file = Rosalia.inp 
Daily climate record for Rosalia, Washington 
GU1 Upper bound glacial transition climate analog (4/12/1999) 
Station ID = 457180 
Dy = day 
Mo = month 
Yr = year 
Max = maximum 
Min = minimum 
Precip = total daily precipitation 
Temp = daily air temperature 
mm = millimeters 
deg C = degrees Celsius 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 C-17 November 2004 
Data Flags: 
-999.9 = missing data 
M = missing data flag 
A = accumulated measurement (multiple days) 
T = trace amount (less than measurement resolution) 
C1 = calculated value (type 1 calculation) 
E1 = estimated value (type 1 estimation) 
E2 = estimated value (type 2 estimation) 
E3 = estimated value (type 3 estimation) 
Record Dy Dy Max Min Mean Snow 
Day of of Precip Temp Temp Temp Fall 
Number Year Mo Mo Yr mm deg C deg C deg C mm 
-------- ---- -- -- --- ------ ------- ------- ------- ------- 
71263 1995 2 10 41 0.0 8.3 -1.7 3.3 C1 0.0 
71264 1995 2 11 42 0.0 6.1 -2.8 1.7 C1 0.0 
71265 1995 2 12 43 0.0 1.1 -8.9 -3.9 C1 0.0 
71266 1995 2 13 44 0.0 E1 -6.7 -12.2 -9.4 C1 -999.9 M 
71267 1995 2 14 45 0.8 -7.2 -12.2 -9.7 C1 12.7 
71268 1995 2 15 46 0.0 -6.7 -11.7 -9.2 C1 0.0 
71269 1995 2 16 47 3.8 2.2 -5.8 E2 -1.8 C1 50.8 
71270 1995 2 17 48 13.7 4.4 0.0 2.2 C1 0.0 
71271 1995 2 18 49 0.0 7.8 1.1 4.4 C1 0.0 
71272 1995 2 19 50 8.9 11.1 2.8 6.9 C1 0.0 
71273 1995 2 20 51 5.8 13.3 8.3 10.8 C1 0.0 
 Listing of source code for routine DAILY09 V1.0: 
program daily09 
c version 1.0 
c 
c 
c---- This routine is used to compile and re-format 
c EarthInfo NCDC (cr/lf) format export files 
c (daily NOAA climate data) into a single 
c ASCII (column format) daily climate input file used as 
c input to INFIL version 2.0. 
c 
c The routine also estimates data values in cases of missing data, 
c or skips years if record is too incomplete. Criteria for 
c skipping years due to excessive data gaps is currently 
c hard-wired into the code: 
c 
c current settings allow for daily precip gaps of 10 days or less 
c and daily air temperature gaps of 20 days or less. 
c If gaps are exceeded the entire year is excluded from 
c the developed daily climate file. Gaps in the snowfall 
c record are allowed because this parameter is 
c not used directly as input by INFIL version 2.0. 
c 
c program written by Joe Hevesi, U.S. Geological Survey, WRD 
c 
c 
c---- NCDC export format input variables (NCDCfile) 
character*20 NCDCfile 
character*3 dly 
character*6 statid,station 
character*2 code1 
character*4 dtype 
character*2 dunit 
integer*4 dyear 
integer*2 dmonth 
character*6 df1 
character*1 df2(31) 
integer dday(31) 
integer df3(31) 
real ddat(31) 
character*1 dflag(31) 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 C-18 November 2004 
c 
c---- calendar variables (good for dates 01/01/1800 - 12/31/2000) 
integer yr(100000),mo(100000),dy(100000) 
integer lpyr(1800:2000) 
integer ndmon(12) 
integer ndmonth(1800:2000,12) 
integer modays 
integer iday(1800:2000,12,31) 
integer nday,iprcp,itmax,itmin,isnow 
integer nend,nbeg,n10,n20,n30,n40 
c 
c---- precip data variables 
real ppt(100000) 
character*2 pflg(100000) 
real moppt,yrppt,aappt 
integer ndmoppt,n1 
integer imisppt(1800:2000) 
c 
c---- max air temp data variables 
real tmax(100000) 
character*2 tmaxflg(100000) 
real motmax,yrtmax,tmax0,tmax1,tmax2,aatmax 
integer ndmotmax,nmistmax,n2 
integer imistmax(1800:2000) 
c 
c---- min air temp data variables 
real tmin(100000) 
character*2 tminflg(100000) 
real motmin,yrtmin,tmin0,tmin1,tmin2,aatmin 
integer ndmotmin,nmistmin,n3 
integer imistmin(1800:2000) 
c 
c---- average air temp data variables 
real tavg(100000) 
character*2 tavgflg(100000) 
real yrtavg,aatavg 
c 
c---- snow fall data variables 
real snow(100000) 
character*2 snowflg(100000) 
real mosnow,yrsnow 
integer ndmosnow,n4 
c 
c---- output variables 
character*20 outfile,outfil2,monthfil,yearfile 
character*120 header,headout1,headout2 
integer iout(100000) 
real maxppt 
c 
c 
c---- start program 
c 
1 format(a) 
11 format(Output file generated using program DAILY09.FOR) 
21 format(Output file = ,a20) 
open(unit=7,file=daily09.ctl) 
read(7,1) header 
read(7,1) headout1 
read(7,1) headout2 
read(7,1) NCDCfile 
read(7,1) outfile 
read(7,1) outfil2 
read(7,1) monthfil 
read(7,1) yearfile 
c 
c 
c==== Import EARTH-INFO NCDC export files 
c ----------------------------------- 
c---- open EARTH-INFO NCDC export files 
open(unit=8,file=NCDCfile) 
c 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 C-19 November 2004 
c---- open output files 
c outfile (unit 18) = compiled NCDC data output 
c outfil2 (unit 19) = daily climate input file for infil model 
c monthfil (unit 20) = monthly summary file 
c yearfile (unit 21) = yearly summary file 
open(unit=18,file=outfile) 
open(unit=19,file=outfil2) 
open(unit=20,file=monthfil) 
open(unit=21,file=yearfile) 
c 
write(18,11) 
write(18,21) outfile 
write(18,1) headout1 
write(18,1) headout2 
write(19,11) 
write(19,21) outfil2 
write(19,1) headout1 
write(19,1) headout2 
write(20,11) 
write(20,21) monthfil 
write(20,1) headout1 
write(20,1) headout2 
write(21,11) 
write(21,21) yearfile 
write(21,1) headout1 
write(21,1) headout2 
c 
C---- Set up months and leap years for up to 200 years starting at 1800 
c initialize flags for identifying incomplete years 
do i2 = 1800,2000 
lpyr(i2) = 0 
imisppt(i2) = 0 
imistmax(i2) = 0 
imistmin(i2) = 0 
enddo 
do i2 = 1800,2000,4 
lpyr(i2) = 1 
enddo 
lpyr(1800) = 0 
lpyr(1900) = 0 
C 
ndmon(1) = 31 
ndmon(2) = 28 
ndmon(3) = 31 
ndmon(4) = 30 
ndmon(5) = 31 
ndmon(6) = 30 
ndmon(7) = 31 
ndmon(8) = 31 
ndmon(9) = 30 
ndmon(10) = 31 
ndmon(11) = 30 
ndmon(12) = 31 
C 
C 
c---- set up calendar counters for checking NCDC input 
c and initialize record input arrays 
c date 01/01/1800 = day 1 for input record array 
c this algorithm works only for dates 01/01/1800 through 12/31/2000 
c 
nday = 0 
do 50 i = 1800,2000 
do 50 j = 1,12 
ndmon2 = ndmon(j) 
if((j.eq.2).and.(lpyr(i).eq.1)) ndmon2 = 29 
ndmonth(i,j) = ndmon2 
do 50 k = 1,ndmon2 
nday = nday + 1 
iday(i,j,k) = nday 
ppt(nday) = -999.9 
tmax(nday) = -999.9 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 C-20 November 2004 
tmin(nday) = -999.9 
snow(nday) = -999.0 
c 
pflg(nday) = M 
tmaxflg(nday) = M 
tminflg(nday) = M 
snowflg(nday) = M 
50 continue 
nbeg = iday(2000,12,31) 
nend = 1 
c 
c initialize array counters 
iprcp = 0 
itmax = 0 
itmin = 0 
isnow = 0 
c 
c initialize monthly statistics 
moppt = 0. 
maxppt = -999. 
maxflg = -9 
nmpflg = 0 
napflg = 0 
ntpflg = 0 
nmtmxflg = 0 
natmxflg = 0 
nttmxflg = 0 
nmtmnflg = 0 
natmnflg = 0 
nttmnflg = 0 
nmsnoflg = 0 
nasnoflg = 0 
ntsnoflg = 0 
ndaymo = 0 
n1 = 0 
n2 = 0 
n3 = 0 
n4 = 0 
c 
c---- Read in NCDC format daily data by month (each line = 31 days) 
c 
ndat = 1 
200 read(8,101,end=900) dly,statid,code1,dtype,dunit, 
1 dyear,dmonth,df1, 
2 (df2(i),dday(i),df3(i),ddat(i),dflag(i),i=1,31) 
c 
101 format(a3,a6,a2,a4,a2, 
1 i4,i2,a6, 
2 31(a1,i2,i2,f6.0,a1)) 
c 
c------- check station id 
if(ndat.eq.1) then 
station = statid 
ndat = 0 
else 
if(statid.ne.station) stop 
endif 
c 
c------- import daily precip data 
if(dtype.eq.PRCP) then 
if(iprcp.eq.0) then 
n10 = iday(dyear,dmonth,dday(1)) 
n1 = n10 - 1 
iprcp = 1 
if(n10.lt.nbeg) nbeg = n10 
endif 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 C-21 November 2004 
moppt = 0. 
motmax = 0. 
motmin = 0. 
mosnow = 0. 
c 
c read-in daily precip data for each month 
do 300 j = 1,ndmonth(dyear,dmonth) 
n1 = n1 + 1 
ndaymo = ndaymo + 1 
yr(n1) = dyear 
mo(n1) = dmonth 
dy(n1) = dday(j) 
c 
c get precip data (convert HIN to mm) 
if(ddat(j).ne.-99999.) then 
ppt(n1) = 0.254*ddat(j) 
moppt = moppt + ppt(n1) 
if(ppt(n1).gt.maxppt) maxppt = ppt(n1) 
else 
ppt(n1) = -999.9 
endif 
pflg(n1) = dflag(j) 
if(pflg(n1).eq.M) nmpflg = nmpflg + 1 
if(pflg(n1).eq.A) napflg = napflg + 1 
if(pflg(n1).eq.T) ntpflg = ntpflg + 1 
c 
300 continue 
c 
c 
c------- import maximum daily air temp data 
else if(dtype.eq.TMAX) then 
if(itmax.eq.0) then 
n20 = iday(dyear,dmonth,dday(1)) 
n2 = n20 - 1 
itmax= 1 
if(n20.lt.nbeg) nbeg = n20 
endif 
motmax = 0. 
c 
c read-in maximum daily air temp data for each month 
do 310 j = 1,ndmonth(dyear,dmonth) 
n2 = n2 + 1 
ndaymo = ndaymo + 1 
c 
c get air temp data (convert deg F to deg C) 
if(ddat(j).ne.-99999.) then 
tmax(n2) = (ddat(j)-32.)*5/9 
motmax = motmax + tmax(n2) 
if(tmax(n2).gt.maxtmax) maxtmax = tmax(n2) 
else 
tmax(n2) = -999.9 
endif 
tmaxflg(n2) = dflag(j) 
if(tmaxflg(n2).eq.M) nmtmxflg = nmtmxflg + 1 
if(tmaxflg(n2).eq.A) natmxflg = natmxflg + 1 
if(tmaxflg(n2).eq.T) nttmxflg = nttmxflg + 1 
c 
c 
310 continue 
c 
c------- import minimum daily air temp data 
else if(dtype.eq.TMIN) then 
if(itmin.eq.0) then 
n30 = iday(dyear,dmonth,dday(1)) 
n3 = n30 - 1 
itmin = 1 
if(n30.lt.nbeg) nbeg = n30 
endif 
motmin = 0. 
c 
c read-in minimum daily air temp data for each month 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 C-22 November 2004 
do 320 j = 1,ndmonth(dyear,dmonth) 
n3 = n3 + 1 
ndaymo = ndaymo + 1 
c 
c get air temp data (convert deg F to deg C) 
if(ddat(j).ne.-99999.) then 
tmin(n3) = (ddat(j)-32.)*5/9 
motmin = motmin + tmin(n3) 
if(tmin(n3).gt.maxtmin) maxtmin = tmin(n3) 
else 
tmin(n3) = -999.9 
endif 
tminflg(n3) = dflag(j) 
if(tminflg(n3).eq.M) nmtmnflg = nmtmnflg + 1 
if(tminflg(n3).eq.A) natmnflg = natmnflg + 1 
if(tminflg(n3).eq.T) nttmnflg = nttmnflg + 1 
c 
c 
320 continue 
c 
c------- import daily snow fall data 
else if(dtype.eq.SNOW) then 
if(isnow.eq.0) then 
n40 = iday(dyear,dmonth,dday(1)) 
n4 = n40 - 1 
isnow = 1 
if(n40.lt.nbeg) nbeg = n40 
endif 
mosnow = 0. 
c 
c read-in daily snow fall data for each month 
do 330 j = 1,ndmonth(dyear,dmonth) 
n4 = n4 + 1 
ndaymo = ndaymo + 1 
c 
c get snow fall data (convert deg F to deg C) 
if(ddat(j).ne.-99999.) then 
snow(n4) = 2.54*ddat(j) 
mosnow = mosnow + snow(n4) 
if(snow(n4).gt.maxsnow) maxsnow = snow(n4) 
else 
snow(n4) = -999.9 
endif 
snowflg(n4) = dflag(j) 
if(snowflg(n4).eq.M) nmsnoflg = nmsnoflg + 1 
if(snowflg(n4).eq.A) nasnoflg = nasnoflg + 1 
if(snowflg(n4).eq.T) ntsnoflg = ntsnoflg + 1 
c 
c 
330 continue 
c 
endif 
goto 200 
c 
c 
900 continue 
c 
c find ending array indices 
if(n1.gt.nend) nend = n1 
if(n2.gt.nend) nend = n2 
if(n3.gt.nend) nend = n3 
if(n4.gt.nend) nend = n4 
c 
c==== Process Results 
c --------------- 
c---- output to 1st output file (data file) 
c write header info 1st 
c unit 18 = data output file 
c 
write(18,8111) station 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 C-23 November 2004 
8111 format(/,Station ID = a6) 
write(18,8001) 
8001 format(/,Dy = day, 
1 /,Mo = month, 
2 /,Yr = year, 
3 /,Max = maximum, 
4 /,Min = minimum, 
5 /,Precip = total daily precipitation, 
6 /,Temp = daily air temperature, 
7 /,mm = millimeters, 
8 /,deg C = degrees Celsius, 
9 //,Data Flags:, 
1 //,-999.9 = missing data value, 
1 /,M = missing data flag, 
2 /,A = accumulated measurement (multiple days), 
3 /,T = trace amount , 
4 (less than measurement resolution)) 
c 
write(18,8011) 
8011 format( / Record,1x, ,1x, ,1x,Dy,1x, Dy, 
1 2x, ,3x, Max,3x, Min,3x, Snow, 
2 / Day,1x, ,1x, ,1x,of,1x, of, 
3 2x,Precip,3x, Temp,3x, Temp,3x, Fall, 
4 / Number,1x,Year,1x,Mo,1x,Mo,1x, Yr, 
5 2x, mm,3x, deg C,3x, deg C,3x, mm, 
6 /--------,1x,----,1x,--,1x,--,1x,---, 
7 2x,------,3x,-------,3x,-------,3x,-------,/) 
c 
c 
c---- write header info to monthly summary file 
c 
write(20,8801) station 
8801 format(/,Station ID = a6) 
write(20,8901) 
8901 format(Monthly summary of input record, 
1 /no data flag = -999.9,/) 
write(20,8921) 
8921 format( / ,1x, ,1x, ,1x, ,1x, ,2x, 
1  ,1x, ,2x, , 
2 1x, Mean,2x, ,1x, Mean,2x, ,1x, Total, 
1 / ,1x, ,1x, ,1x,Dy,1x, Dy,2x, 
1  #,1x, Total,2x, #, 
2 1x, Max,2x, #,1x, Min,2x, #,1x, Snow, 
3 / Day,1x, ,1x, ,1x,of,1x, of,2x, 
4  of,1x,Precip,2x, of, 
5 1x, Temp,2x, of,1x, Temp,2x, of,1x, Fall, 
6 / Number,1x,Year,1x,Mo,1x,Mo,1x, Yr,2x, 
7 Rec,1x, mm,2x,Rec, 
8 1x, deg C,2x,Rec,1x, deg C,2x,Rec,1x, mm, 
9 /--------,1x,----,1x,--,1x,--,1x,---,2x, 
1 ---,1x,------,2x,---, 
2 1x,------,2x,---,1x,------,2x,---,1x,------,/) 
c 
c 
c---- initialize monthly stats 
moppt = 0. 
motmax = 0. 
motmin = 0. 
mosnow = 0. 
modays = 0 
c 
ndmoppt = 0 
ndmotmax = 0 
ndmotmin = 0 
ndmosnow = 0 
c 
istart = 0 
ndyear = 0 
nmisppt = 0 
nmisppt2 = 0 
nmistmax = 0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 C-24 November 2004 
nmistmx2 = 0 
nmistmin = 0 
nmistmn2 = 0 
c 
do 8000 i = nbeg,nend 
c 
c set up annual counters 
ndyear = ndyear + 1 
if(i.gt.1) then 
if(yr(i).ne.yrold) ndyear = 1 
endif 
if(ndyear.eq.1) then 
nmisppt2 = 0 
nmistmx2 = 0 
nmistmn2 = 0 
endif 
yrold = yr(i) 
c 
c 
c flag missing data at beginning and of record 
if((ppt(i).eq.-999.9).and.(istart.eq.0)) then 
iout(i) = 0 
else if((tmax(i).eq.-999.9).and.(istart.eq.0)) then 
iout(i) = 0 
else if((tmin(i).eq.-999.9).and.(istart.eq.0)) then 
iout(i) = 0 
else if((snow(i).eq.-999.9).and.(istart.eq.0)) then 
iout(i) = 0 
else 
istart = 1 
iout(i) = 1 
endif 
c 
c 
c write output to intermediate file for checking 
write(18,111) i,yr(i),mo(i),dy(i),ndyear, 
1 ppt(i),pflg(i), 
2 tmax(i),tmaxflg(i), 
3 tmin(i),tminflg(i), 
4 snow(i),snowflg(i) 
c 
111 format(1x,i7,1x,i4,1x,i2,1x,i2,1x,i3,1x, 
1 4(1x,f6.1,1x,a2)) 
c 
c collect monthly statistics prior to filling gaps 
modays = modays + 1 
if(ppt(i).ne.-999.9) then 
ndmoppt = ndmoppt + 1 
moppt = moppt + ppt(i) 
endif 
if(tmax(i).ne.-999.9) then 
ndmotmax = ndmotmax + 1 
motmax = motmax + tmax(i) 
endif 
if(tmin(i).ne.-999.9) then 
ndmotmin = ndmotmin + 1 
motmin = motmin + tmin(i) 
endif 
if(snow(i).ne.-999.9) then 
ndmosnow = ndmosnow + 1 
mosnow = mosnow + snow(i) 
endif 
c 
c write output to monthly summary file 
if(dy(i).eq.ndmonth(yr(i),mo(i))) then 
if(ndmoppt.eq.0) moppt = -999.9 
if(ndmosnow.eq.0) mosnow = -999.9 
if(ndmotmax.eq.0) then 
motmax = -999.9 
else 
motmax = motmax/ndmotmax 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 C-25 November 2004 
endif 
if(ndmotmin.eq.0) then 
motmin = -999.9 
else 
motmin = motmin/ndmotmin 
endif 
write(20,8911) i,yr(i),mo(i),dy(i),ndyear, 
1 ndmoppt,moppt,ndmotmax,motmax, 
2 ndmotmin,motmin,ndmosnow,mosnow 
8911 format(1x,i7,1x,i4,1x,i2,1x,i2,1x,i3, 
1 4(3x,i2,1x,f6.1)) 
moppt = 0. 
motmax = 0. 
motmin = 0. 
mosnow = 0. 
ndmoppt = 0 
ndmotmax = 0 
ndmotmin = 0 
ndmosnow = 0 
endif 
c 
c 
c======== Create developed data file 
c (fill in minor gaps, flag years with large gaps) 
c 
c-------- estimate precip for gaps of 10 days or less 
c E1 = type 1 estimation (assume no precip) 
c E3 - type 3 estimation (assume snow fall density = 0.1) 
nmisppt = 0 
if(ppt(i).eq.-999.9) then 
if(snow(i).le.0.) then 
ppt(i) = 0. 
pflg(i) = E1 
else 
ppt(i) = snow(i)/10 
pflg(i) = E3 
endif 
nmisppt = 1 
nmisppt2 = nmisppt2 + 1 
8540 if(((i+nmisppt).le.n1).or.(nmisppt.le.10)) then 
if(ppt(i+nmisppt).eq.-999.9) then 
nmisppt = nmisppt + 1 
goto 8540 
endif 
endif 
if(nmisppt.gt.10) imisppt(yr(i)) = 1 
if(nmisppt2.gt.20) imisppt(yr(i)) = 1 
endif 
c 
c 
c-------- estimate max air temp for gaps less than 20 days 
c (type 2 estimation) 
nmistmax = 0 
if((tmax(i).eq.-999.9).and.(tmaxflg(i-1).ne.E2)) then 
nmistmax = 1 
tmax0 = tmax(i-1) 
nmistmx2 = nmistmx2 + 1 
8550 if(i+nmistmax.gt.n1) then 
tmax2 = tmax0 
else if((tmax(i+nmistmax).eq.-999.9).and. 
1 (i+nmistmax.lt.n1)) then 
nmistmax = nmistmax + 1 
goto 8550 
endif 
tmax2 = tmax(i+nmistmax) 
tmax(i) = (tmax0 + tmax2)/2. 
tmaxflg(i) = E2 
tmax1 = tmax(i) 
else if((tmax(i).eq.-999.9).and.(tmaxflg(i-1).eq.E2)) then 
tmax(i) = tmax1 
tmaxflg(i) = E2 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 C-26 November 2004 
nmistmx2 = nmistmx2 + 1 
endif 
if(nmistmax.gt.20) imistmax(yr(i)) = 1 
if(nmistmx2.gt.40) imistmax(yr(i)) = 1 
c 
c 
c-------- estimate min air temp for gaps less than 20 days 
c (type 2 estimation) 
nmistmin = 0 
if((tmin(i).eq.-999.9).and.(tminflg(i-1).ne.E2)) then 
nmistmin = 1 
tmin0 = tmin(i-1) 
nmistmn2 = nmistmn2 + 1 
8560 if(i+nmistmin.gt.n1) then 
tmin2 = tmin0 
else if((tmin(i+nmistmin).eq.-999.9).and. 
1 (i+nmistmin.lt.n1)) then 
nmistmin = nmistmin + 1 
goto 8560 
endif 
tmin2 = tmin(i+nmistmin) 
tmin(i) = (tmin0 + tmin2)/2. 
tminflg(i) = E2 
tmin1 = tmin(i) 
else if((tmin(i).eq.-999.9).and.(tminflg(i-1).eq.E2)) then 
tmin(i) = tmin1 
tminflg(i) = E2 
nmistmn2 = nmistmn2 + 1 
endif 
if(nmistmin.gt.20) imistmin(yr(i)) = 1 
if(nmistmn2.gt.40) imistmin(yr(i)) = 1 
c 
c 
8000 continue 
c 
c 
c---- output to 2nd output file (infil model input file) 
c write header info 1st 
c unit 19 = model input file 
c 
write(19,9111) station 
9111 format(/,Station ID = a6) 
write(19,9001) 
9001 format(/,Dy = day, 
1 /,Mo = month, 
2 /,Yr = year, 
3 /,Max = maximum, 
4 /,Min = minimum, 
5 /,Precip = total daily precipitation, 
6 /,Temp = daily air temperature, 
7 /,mm = millimeters, 
8 /,deg C = degrees Celsius, 
9 //,Data Flags:, 
c 1 //,r = measured (recorded) data, 
1 //,-999.9 = missing data, 
1 /,M = missing data flag, 
2 /,A = accumulated measurement (multiple days), 
3 /,T = trace amount , 
4 (less than measurement resolution), 
5 /,C1 = calculated value (type 1 calculation), 
6 /,E1 = estimated value (type 1 estimation), 
7 /,E2 = estimated value (type 2 estimation), 
8 /,E3 = estimated value (type 3 estimation)) 
c 
c 
write(19,9011) 
9011 format( / Record,1x, ,1x, ,1x,Dy,1x, Dy, 
1 2x, ,3x, Max,3x, Min,3x, Mean, 
2 3x, Snow, 
2 / Day,1x, ,1x, ,1x,of,1x, of, 
3 2x,Precip,3x, Temp,3x, Temp,3x, Temp, 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 C-27 November 2004 
3 3x, Fall, 
4 / Number,1x,Year,1x,Mo,1x,Mo,1x, Yr, 
5 2x, mm,3x, deg C,3x, deg C,3x, deg C, 
5 3x, mm, 
6 /--------,1x,----,1x,--,1x,--,1x,---, 
7 2x,------,3x,-------,3x,-------,3x,-------, 
7 3x,-------,/) 
c 
c 
c---- output to yearly summary file (unit 21) 
c write header info 1st 
c 
write(21,9501) station 
9501 format(/,Station ID = a6) 
write(21,9511) 
9511 format(Annual summary of input record,/) 
c 
write(21,9521) 
9521 format( ,3x, ,2x, ,3x, Total,3x, Mean, 
1 3x, Mean,3x, Mean, 
2 /Number,3x, ,2x,Days,3x, Annual,3x, Annual, 
2 3x, Annual,3x, Annual, 
3 / of,3x, ,2x, in,3x, Precip,3x, Tmax, 
3 3x, Tmin,3x, Tavg, 
4 / Years,3x,Year,2x,Year,3x, (mm),3x,(deg C), 
4 3x,(deg C),3x,(deg C), 
5 /------,3x,----,2x,----,3x,-------,3x,-------, 
5 3x,-------,3x,-------) 
c 
c 
yrppt = 0. 
yrtmax = 0. 
yrtmin = 0. 
yrtavg = 0. 
yrsnow = 0. 
c 
aappt = 0. 
aatmax = 0. 
aatmin = 0. 
aatavg = 0. 
c 
istart = 0 
ndyear = 0 
do 9000 i = nbeg,nend 
ndyear = ndyear + 1 
if(i.gt.1) then 
if(yr(i).ne.yrold) ndyear = 1 
endif 
yrold = yr(i) 
c 
c calculate mean daily air temperature 
tavg(i) = (tmax(i) + tmin(i))/2. 
tavgflg(i) = C1 
c 
c 
c bypass gaps in record 
if(iout(i).eq.0) goto 9000 
if(imisppt(yr(i)).eq.1) goto 9000 
if(imistmax(yr(i)).eq.1) goto 9000 
if(imistmin(yr(i)).eq.1) goto 9000 
c 
yrppt = yrppt + ppt(i) 
yrtmax = yrtmax + tmax(i) 
yrtmin = yrtmin + tmin(i) 
yrtavg = yrtavg + tavg(i) 
if((i.gt.1).and.(yr(i+1).ne.yrold)) then 
nyr = nyr + 1 
yrtmax = yrtmax/ndyear 
yrtmin = yrtmin/ndyear 
yrtavg = yrtavg/ndyear 
write(*,9301) nyr,yr(i),ndyear,yrppt,yrtmax, 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 C-28 November 2004 
1 yrtmin,yrtavg 
write(21,9301) nyr,yr(i),ndyear,yrppt,yrtmax, 
1 yrtmin,yrtavg 
9301 format(i6,3x,i4,3x,i3,4(3x,f7.1)) 
aappt = aappt + yrppt 
aatmax = aatmax + yrtmax 
aatmin = aatmin + yrtmin 
aatavg = aatavg + yrtavg 
yrppt = 0. 
yrtmax = 0. 
yrtmin = 0. 
yrtavg = 0. 
endif 
c 
c 
write(19,1111) i,yr(i),mo(i),dy(i),ndyear, 
1 ppt(i),pflg(i), 
2 tmax(i),tmaxflg(i), 
3 tmin(i),tminflg(i), 
4 tavg(i),tavgflg(i), 
5 snow(i),snowflg(i) 
c 
1111 format(1x,i7,1x,i4,1x,i2,1x,i2,1x,i3,1x, 
1 5(1x,f6.1,1x,a2)) 
c 
c 
9000 continue 
c 
c calculate and print annual averages 
aappt = aappt/nyr 
aatmax = aatmax/nyr 
aatmin = aatmin/nyr 
aatavg = aatavg/nyr 
write(*,9311) aappt,aatmax,aatmin,aatavg 
write(21,9311) aappt,aatmax,aatmin,aatavg 
9311 format(/,4x,Averages:,6x,4(3x,f7.1)) 
c 
c 
close(18) 
close(19) 
close(20) 
close(21) 
stop 
end 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 November 2004 
APPENDIX D 
CALCULATION OF BLOCKING RIDGES USING BLOCKR7 V1.0
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 November 2004 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 D-1 November 2004 
D1. NAME OF ROUTINE/MACRO WITH VERSION/OS/HARDWARE 
ENVIRONMENT AND USER INFORMATION 
Name of software routine: BLOCKR7 V1.0, 
OS and hardware environment: Windows NT 4.0, Pentium Pro PC 
Computer Identification: SM321276 with a USGS specific host-name P720dcasr 
Software Users: Joseph Hevesi (916-278-3274), Alan Flint (916-278-3221) 
User Location: U.S. Geological Survey, Room 5000E, Placer Hall, 6000 J Street, Sacramento, 
CA 95819-6129 
D2. NAME OF COMMERCIAL SOFTWARE WITH VERSION/OS/HARDWARE 
USED TO DEVELOP ROUTINE/MACRO 
The source code for BLOCKR7 V1.0 was developed using the standard FORTRAN77 
programming language. The source code was written, debugged, and compiled (for PC 
platforms using INTEL processors) using DIGITAL Visual FORTRAN with Microsoft 
Developer Studio, V. 5.0. 
D3. GENERAL DESCRIPTION OF ROUTINE/MACRO 
BLOCKR7 V1.0 is a FORTRAN77 routine developed in accordance with AP-SI.1Q, specifically 
for the analysis/model activity documented in this report. The routine source code 
(BLOCKR7.FOR), compiled executable file (BLOCKR7.EXE), routine control file 
(BLOCKR7.CTL), input and output files, validation test files, and a copy of this appendix, are 
located under the directory BLOCKR7 on a CD-ROM labeled GEOINPUT-1. The routine 
source code, control file, and the input and output files are ASCII text files that can be read using 
any standard ASCII text editor and can be imported into standard word processing applications 
such as Microsoft Word. The executable file can be used to run BLOCKR7 V1.0 on 
any PC with an INTEL processor (with adequate RAM). 
All parameters included in the output file developed by BLOCKR7 V1.0 are used for the 
development of the geospatial parameter input file for INFIL V2.0 (USGS 2000 
[DIRS 139422]). The parameters used and developed by BLOCKR7 V1.0 are equivalent to the 
parameters used in the input file for INFIL V1.0 (Flint et al. 1996 [DIRS 100147]). 
D4. TEST PLAN FOR THE SOFTWARE ROUTINE BLOCKR7 V1.0 
 Explain whether this is a routine or macro and describe what it does: 
BLOCKR7 V1.0 is the first routine in a sequence of developed FORTRAN77 routines 
that are used in the development of the geospatial parameter input files for INFIL 
V2.0. The routine performs two functions required as part of the development of the 
geospatial parameter input files for INFIL V2.0. The first function consists of 
assembling nine individual ASCII matrix grid files developed in ARCINFO 
(corresponding to 9 separate input parameters) into a single column formatted ASCII 
output file. The second function consists of the calculation of 36 blocking ridge angles 
for each grid location defined by the ASCII matrix grids. The blocking ridge angles 
are defined by the angle of inclination above the horizontal plane that the surrounding 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 D-2 November 2004 
topography obstructs a locations view of the sky and potential direct beam solar 
radiation. The 36 blocking ridge angles are calculated at each 10 horizontal arc (with 
the azimuth aligned in the UTM northing direction) for each grid cell. 
The input and output files used by the routine are defined in the routine control file, 
BLOCKR7.CTL that is itself an input file for the routine. The input files defined in 
BLOCKR7.CTL consist of the nine ASCII matrix grid files (one file for each parameter 
defined above). The output files defined in BLOCKR7.CTL consist of 30MSITE.INP, 
which is the main output file (this file is used as input by GEOMAP7 V1.0) and two 
auxiliary output files, 30MSITE.SKY and SKYVIEW.ASC, consisting of the calculated 
sky-view factor for each grid location. Also included in BLOCKR7.CTL are 
parameters used as input for the calculation of the 36 approximate 10 azimuth angles 
based on the input grid geometry. 
The calculated sky-view factor that included as output in the two auxiliary output files 
is the percentage of sky viewed from the ground surface, relative to the sky-view for 
an infinite horizontal plane, and is calculated for each grid cell location using 
the 36 blocking ridge angles generated by BLOCKR7. The two auxiliary output files 
provide the sky-view factor in two different output formats (ASCII column and ASCII 
matrix) and are used as a part of the test plan for BLOCKR7. 
 Listing of FORTRAN77 Source code: 
A listing of the FORTRAN77 source code for the routine BLOCKR7 V1.0 along with 
examples of the input and output files used in the test plan are included at the end of 
this appendix. 
 Description of test(s): 
To determine that the two functions performed by the routine are operating correctly, 
two separate test plans are applied. The first test case involves a visual inspection of 
the column-formatted ASCII output file, 30MSITE.INP to confirm that the file format 
is correct and that there are a total of 253,597 rows and 48 columns. The testing 
procedure consists of a direct comparison of parameter values in the input files to the 
ordering and values of parameters in the corresponding line of the output file. This 
provides a validation check of the first function performed by BLOCKR7 V1.0, which 
is the assembling of individual ASCII matrix grids for each of the input parameters 
into a single column formatted ASCII output file. For example, the parameter value of 
the first column of the first line of the input matrix for the first input parameter 
(latitude) must correspond to the parameter value located in the third column of the 
first line of the output file. The parameter value of the first column of the first line of 
the input matrix for the second input parameter (longitude) must correspond to the 
parameter value located in the fourth column of the first line of the output file, and soon 
for all parameters assembled into the output file. 
The second test consists of a visual evaluation of the second function performed by 
BLOCKR7 that consists of the calculation of the 36 blocking ridge angles and the 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 D-3 November 2004 
output of these values as 36 separate columns that are included in the output file. To 
test this function, a visual test is conducted in ARCVIEW by a comparison of the map 
image obtained using the input elevation grid with the map image obtained using the 
sky-view values that are included in the auxiliary output file created by BLOCKR7. 
The sky-view values are calculated using the same 36 blocking ridge values that are 
included in the main output file. The testing criteria used in this test are based on the 
following known conditions: 1) Grid locations that are not surrounded by ridges 
blocking incoming solar radiation will result in a calculation of approximately 
100 percent of the sky viewed (the sky-view value is the percentage of the sky 
viewed). 2) Grid locations in deep valleys and washes where there is blockage of solar 
radiation by ridges will result in the maximum reduction in sky-view within the model 
domain of approximately 25 to 30 percent. For the hypothetical upper bound case of 
an infinite horizontal plane, the calculated sky-view factor is 100 percent (no reduction 
in the percentage of sky viewed). In the case of mountainous terrain such as the Yucca 
Mountain site and the area of the net infiltration model, the occurrence of rugged 
topography including steep ridges with significant relief of 100 m and greater should 
result in an appropriate reduction of the percent of sky viewed. 
The testing is performed in ARCVIEW by a visual comparison of both a shaded-relief 
and a contoured representation of the DEM to map images generated using the 
sky-view factor obtained from the auxiliary output file, SKYVIEW.ASC. The test 
criteria are subjectively based on the determination that the sky-view factor provides a 
reasonable representation of the percentage of sky viewed relative to expected 
reductions in sky view based on the known topography surrounding a given grid cell. 
For ridge-top locations and flat or gently sloping terrain where there are no ridges 
blocking sky-view, expected reductions in sky-view should be minimal 
(from 90 to 100 percent sky-view). In comparison, for steep side-slopes and deep 
washes or valleys characterized by more rugged terrain, larger reductions in sky-view 
are expected (less than 80 percent sky-view). 
The subjective acceptance criteria used in the test plan for the calculation of blocking 
ridges are based on the sensitivity of estimated net infiltration to the inclusion of 
blocking ridges in the calculation of available energy to drive PET. The inclusion of 
the reduction in sky-view for locations with surrounding ridges provides a slight 
increase in the accuracy of estimated net infiltration. For example, the impact of 
excluding the reduction in sky-view from the estimation of net infiltration is a 
maximum reduction in net infiltration estimates of approximately two to three percent 
as compared to estimates obtained if the reduction in sky-view is included. 
 Specify the range of input values to be used and why the range is valid: 
All nine ASCII matrix grid files used as input by BLOCKR7 V1.0 consist of six 
standard ARCINFO and ARCVIEW header lines specifying the dimensions of the 
input grid (copies of the first nine lines of these input files are included at the end of 
this appendix). The header lines are followed by a matrix of 691 rows by 367 columns 
for a total of 253,597 input values for each input file. The matrix consists of the 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 D-4 November 2004 
parameter values for a specific parameter (one file per parameter) and is the standard 
raster-data format that can be exported or imported by ARCINFO or ARCVIEW. The 
nine ASCII matrix grid files listed below consist of one file for each input parameter 
and must be listed in the same order in the routine control file, BLOCKR7.CTL. The 
range of input values specified in the listing below is valid because these values were 
obtained from ARCINFO using the source data as input. 
1. 30MLAT.ASC: Latitude coordinate input file (in decimal degrees f 
rom 36.7501 to 36.9373) for each grid location. 
2. 30MLONG.ASC: Absolute-value longitude coordinate input file (in decimal 
degrees from 116.3752 to 116.4997) for each grid cell location. 
3. 30MSLOPE.ASC: Ground surface slope input file (in degrees from 0 to 47). 
4. 30MASPCT.ASC: Ground surface aspect input file (in degrees 
from 1 to 358). 
5. 30MELEV.ASC: Ground surface elevation (in meters from 918 to 1969). 
6. 30MSOIL.ASC: Soil type identification number (an integer value from 
1 to 10). 
7. 30MDEPTH.ASC: Soil depth class number (an integer value from 1 to 4). 
8. 30MROCK.ASC: Rock type identification number (an integer value 
from 1 to 214). 
9. 30MTOPO.ASC: Topographic location number (an integer value 
from 1 to 6). 
D5. TEST RESULTS 
 Output from test (explain difference between input range used and possible 
input): 
The output for the first part of the test (input parameters from ARCINFO are properly 
combined into a single column formatted ASCII text file) is the main output file, 
30MSITE.INP generated by BLOCKR7 V1.0 and the nine ASCII matrix input files 
(see listing of files below). The output for the second part of the test (qualitative 
evaluation of blocking ridge angles using sky-view) is the value of calculated percent 
sky-view for every grid cell and is included in the two auxiliary output files created by 
BLOCKR7 (30MSITE.SKY and SKYVIEW.ASC). 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 D-5 November 2004 
 Description of how the testing shows that the results are correct for the 
specified input: 
A visual inspection of the input and output files indicates that the test criteria for the 
first part of the test plan is satisfied. Comparison of input and output parameter values 
shows that all input parameters have been assembled into the correct order and line of 
the output file, and thus the first function of the routine is being correctly executed. 
The test results are reproduced in this appendix by including a partial print-out of the 
input and output files. Inspection of the file copies indicates that the parameter value 
in the first grid cell position of each matrix (hi-lighted in red) is in the correct column 
position of the corresponding grid cell location of the output file (first line of the 
output file, hi-lighted in red), the parameter value in the second grid cell position of 
each matrix (hi-lighted in blue) is in the correct column position of the corresponding 
grid cell location of the output file (second line of file, hi-lighted in blue), and so on. 
Inspection of the complete output file indicates 253,597 rows and 48 columns, with the 
columns ordered according to the following sequence: 
Column number Parameter description 
1 
2 
3 
4 
5 
6 
7 
8 
9 
10 
11 
12 
13 
14 
15 
16-47 
48 
Grid cell location number 
UTM easting coordinate , in meters 
UTM northing coordinate, in meters 
Latitude coordinate, in decimal degrees 
Longitude coordinate, in decimal degrees 
Ground surface slope, in degrees 
Ground surface aspect, in degrees 
Ground surface elevation, in meters 
Soil type identification number, integer value 
Soil depth class number, integer value 
Rock type Identification number, integer value 
Topographic identification number, integer value 
First of 36 blocking ridge angles, in degrees 
Second of 36 blocking ridge angles, in degrees 
Third of 36 blocking ridge angles, in degrees 
blocking ridge angles 4 through 35 
Last blocking ridge angle, in degrees. 
The second part of the test consists of a visual evaluation of the sky-view factor 
calculated using the blocking ridge angles generated by BLOCKR7. Comparison of 
Figures D-1 through D-3 indicates that the test criteria for the second part of the test 
are satisfied. The elevation values in the main output file are used in ARCVIEW to 
develop Figure B-1, which is a shaded relief map of the Yucca Mountain site. Both 
the elevation values in the main output file and the sky-view values provided in the 
auxiliary output file, 30MSITE.SKY are used in ARCVIEW to develop 
Figures D-2 and D-3. Overlaying the sky view factor and topography into a combined 
map image allows for a visual evaluation that the test criteria are satisfied. Visual 
inspection of Figures D-2 and D-3 indicates a high percentage of sky-view (90 percent 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 D-6 November 2004 
and higher) for ridge-top and flat, open area locations, and a low percentage of skyview 
(80 percent and lower) for steep side-slope locations and for deep, narrow 
washes. These test results indicate that the routine is functioning properly for the 
intended use. 
 List limitations or assumptions to this test case and code in general: 
Limitations are only those inherent in the DEM. To provide an enhanced test result, 
the visual test is performed in ARCVIEW, allowing for the map of calculated 
sky-view to be draped over the shaded relief map and overlain with elevation contours 
generated from the DEM. 
 Electronic files identified by name and location: 
Electronic files are located on CD-ROM labeled GEOINPUT-1, under the 
directory BLOCKR7, included as an Appendix to the report. The following 
electronic files are provided: 
BLOCKR7.CTL: Input file consisting of the input and output file names for 
BLOCKR7, along with parameters needed to perform 
the 36 blocking ridge angle calculations. 
BLOCKR7.FOR: FORTRAN source code listing for the routine BLOCKR7. A 
printout of the source code is included as part of this appendix. 
BLOCKR7.EXE: Executable file for the routine BLOCKR7, compiled for INTEL 
processors. 
30MLAT.ASC: Input file consisting of the grid cell latitude coordinates (in decimal 
degrees) for all 253,597 grid cell locations of the base grid, 
developed using ARCINFO and exported as a standard ARCINFO 
format ASCII matrix grid file. A partial printout of the first part of 
this file is included as part of this appendix. 
30MLONG.ASC: Input file consisting of the grid cell longitude coordinates (in 
decimal degrees) for all 253,597 grid cell locations of the base 
grid, developed using ARCINFO and exported as a standard 
ARCINFO format ASCII matrix grid file. A partial printout of the 
first part of this file is included as part of this appendix. 
30MSLOPE.ASC: Input file consisting of ground surface slope (in degrees) for 
all 253,597 grid cell locations of the base grid, calculated from the 
DEM using ARCINFO and exported as a standard ARCINFO 
format ASCII matrix grid file. A partial printout of the first part of 
this file is included as part of this appendix. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 D-7 November 2004 
30MASPCT.ASC: Input file consisting of ground surface aspect (in degrees) for 
all 253,597 grid cell locations of the base grid, calculated from the 
DEM using ARCINFO and exported as a standard ARCINFO 
format ASCII matrix grid file. A partial printout of the first part of 
this file is included as part of this appendix. 
30MELEV.ASC: Input file consisting of ground surface elevation (in meters) for 
all 253,597 grid cell locations of the base grid. The source data 
consists of two standard 7.5-minute USGS 30-meter digital 
elevation models (DEMs), which are merged into a single 
composite DEM using ARCINFO, and exported as a standard 
ARCINFO format ASCII matrix grid file. A partial printout of the 
first part of this file is included as part of this appendix. 
30MSOIL.ASC: Input file consisting of the soil type identification number (an 
integer value from 1 to 10) for all 253,597 grid cell locations of the 
base grid. The source data consists of a standard ARCINFO vector 
coverage that is rasterized onto the cell locations of the base grid 
using ARCINFO and exported as a standard ARCINFO format 
ASCII matrix grid file. A partial printout of the first part of this 
file is included as part of this appendix. 
30MDEPTH.ASC: Input file consisting of the soil depth class identification number 
(an integer value from 1 to 4) for all 253,597 grid cell locations of 
the base grid. The source data consists of a standard ARCINFO 
vector coverage that is rasterized onto the cell locations of the base 
grid using ARCINFO and exported as a standard ARCINFO 
format ASCII matrix grid file. A partial printout of the first part of 
this file is included as part of this appendix. 
30MROCK.ASC: Input file consisting of the rock type identification number (an 
integer value from 1 to 214) for all 253,597 grid cell locations of 
the base grid. The source data consists of a standard ARCINFO 
vector coverage that is rasterized onto the cell locations of the base 
grid using ARCINFO and exported as a standard ARCINFO 
format ASCII matrix grid file. A partial printout of the first part of 
this file is included as part of this appendix. 
30MTOPO.ASC: Input file consisting of the topographic position identification 
number (an integer value from 1 to 6) for all 253,597 grid cell 
locations of the base grid. The parameter is generated in 
ARCINFO using the source DEM as input, rasterized onto the cell 
locations of the base grid and exported as a standard ARCINFO 
format ASCII matrix grid file. A partial printout of the first part of 
this file is included as part of this appendix. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 D-8 November 2004 
30MSITE.INP: Main output file consisting of 253,597 rows and 48 columns (see 
Section 5 above for column ordering and descriptions. This file 
includes 36 columns that are the 36 blocking ridge angles 
calculated by BLOCKR7 for each grid location. A partial printout 
of the first part of this file is included as part of this appendix. 
30MSITE.SKY: Auxiliary output file consisting of 253,597 rows and 3 columns. 
The first two columns are the UTM coordinates and the third 
column is the calculated sky-view factor (in percent). This file is 
used only as part of the test plan. It is not required for the intended 
application of the routine. 
SKYVIEW.ASC: auxiliary output file consisting of the 253,597 sky-view values in 
the ASCII grid matrix format that is imported directly into 
ARCVIEW. This file is used only as part of the test plan. It is not 
required for the intended application of the routine. 
6. Supporting Information. (Include background information, such as revision to a 
previous routine or macro, or explanation of the steps performed to run the 
software. Include listings of all electronic files and codes used). 
 Procedure for running routine: 
To run the routine BLOCKR7, an executable version of the code and all input files 
must be placed in the same directory. The routine is executed by typing BLOCKR7 in 
a DOS window, by double clicking on the file, BLOCKR7.EXE in the Microsoft 
Windows OS, or by typing in the path and filename in the RUN window of the 
Windows NT or Windows 98 start menu. The input and output file names and the 
parameters used for the blocking ridge calculations must be in the correct sequential 
order as specified in the routine control file, BLOCKR7.CTL (see example printouts 
provided below). 
 Example printout of routine control file, BLOCKR7.CTL 
blockr7.ctl INFIL v2.0 geospatial parameter pre-processing, step 1, routine BLOCKR7 
v1.0 
30mlat.asc 
30mlong.asc 
30mslope.asc 
30maspct.asc 
30melev.asc 
30msoil.asc 
30mdepth.asc 
30mrock.asc 
30mtopo.asc 
30msite.xyz 
30msite.sky 
skyview.asc 
blockr7.sum 
32 
1 1 3 
2 1 2 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 D-9 November 2004 
3 2 3 
4 1 1 
5 3 2 
6 2 1 
7 3 1 
8 1 0 
9 3 -1 
10 2 -1 
11 3 -2 
12 1 -1 
13 2 -3 
14 1 -2 
15 1 -3 
16 0 -1 
17 -1 -3 
18 -1 -2 
19 -2 -3 
20 -1 -1 
21 -3 -2 
22 -2 -1 
23 -3 -1 
24 -1 0 
25 -3 1 
26 -2 1 
27 -3 2 
28 -1 1 
29 -2 3 
30 -1 2 
31 -1 3 
32 0 1 
 Example printout of 30MLAT.ASC: ARCINFO ASCII grid format input file 
for latitude, in decimal degrees (only the 6 header lines and the first 3 lines of 
the input matrix are listed). 
ncols 367 
nrows 691 
xllcorner 544661.000000 
yllcorner 4067133.000000 
cellsize 30.000000 
NODATA_value -9999.000000 
36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 
36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 
36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 
36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 
36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9372 36.9372 36.9372 
36.9372 36.9372 36.9372 36.9372 36.9372 36.9372 36.9372 36.9372 36.9372 
36.9372 36.9372 36.9372 36.9372 36.9372 36.9372 36.9372 36.9372 36.9372 
36.9372 36.9372 36.9372 36.9372 36.9372 36.9372 36.9372 36.9372 36.9372 
36.9372 36.9372 36.9372 36.9372 36.9372 36.9372 36.9372 36.9372 36.9372 
36.9372 36.9372 36.9372 36.9372 36.9372 36.9372 36.9372 36.9372 36.9372 
36.9372 36.9372 36.9372 36.9372 36.9372 36.9372 36.9372 36.9372 36.9372 
36.9372 36.9372 36.9372 36.9372 36.9372 36.9372 36.9372 36.9372 36.9372 
36.9372 36.9372 36.9372 36.9372 36.9372 36.9372 36.9372 36.9372 36.9371 
36.9371 36.9371 36.9371 36.9371 36.9371 36.9371 36.9371 36.9371 36.9371 
36.9371 36.9371 36.9371 36.9371 36.9371 36.9371 36.9371 36.9371 36.9371 
36.9371 36.9371 36.9371 36.9371 36.9371 36.9371 36.9371 36.9371 36.9371 
36.9371 36.9371 36.9371 36.9371 36.9371 36.9371 36.9371 36.9371 36.9371 
36.9371 36.9371 36.9371 36.9371 36.9371 36.9371 36.9371 36.9371 36.9371 
36.9371 36.9371 36.9371 36.9371 36.9371 36.9371 36.9371 36.9371 36.9371 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 D-10 November 2004 
36.9371 36.9371 36.9370 36.9370 36.9370 36.9370 36.9370 36.9370 36.9370 
36.9370 36.9370 36.9370 36.9370 36.9370 36.9370 36.9370 36.9370 36.9370 
36.9370 36.9370 36.9370 36.9370 36.9370 36.9370 36.9370 36.9370 36.9370 
36.9370 36.9370 36.9370 36.9370 36.9370 36.9370 36.9370 36.9370 36.9370 
36.9370 36.9370 36.9370 36.9370 36.9370 36.9370 36.9370 36.9370 36.9370 
36.9370 36.9370 36.9370 36.9370 36.9370 36.9370 36.9370 36.9370 36.9370 
36.9370 36.9370 36.9370 36.9370 36.9370 36.9370 36.9370 36.9370 36.9370 
36.9370 36.9370 36.9370 36.9370 36.9370 36.9370 36.9370 36.9369 36.9369 
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36.9369 36.9369 36.9369 36.9369 36.9368 36.9368 36.9368 36.9368 36.9368 
36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 
36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 
36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 
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36.9370 36.9370 36.9370 36.9370 36.9370 36.9370 36.9370 36.9370 36.9370 
36.9370 36.9370 36.9370 36.9370 36.9370 36.9370 36.9370 36.9370 36.9370 
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36.9369 36.9369 36.9369 36.9369 36.9369 36.9369 36.9369 36.9369 36.9369 
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36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 
36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 
36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 
36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 
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36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 
36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 
36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 
36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 
36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 
36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 
36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 
36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9366 36.9366 
36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 
36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 
36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 
36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 
36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 
36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 36.9365 36.9365 36.9365 
36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 
36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 
36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 
36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 
36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 
36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 D-11 November 2004 
36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 
36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 
36.9368 36.9368 36.9368 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 
36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 
36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 
36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 
36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 
36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 
36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 
36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9366 
36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 
36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 
36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 
36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 
36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 
36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 36.9366 
36.9366 36.9366 36.9366 36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 
36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 
36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 
36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 
36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 
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36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 
36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 36.9365 
36.9364 36.9364 36.9364 36.9364 36.9364 36.9364 36.9364 36.9364 36.9364 
36.9364 36.9364 36.9364 36.9364 36.9364 36.9364 36.9364 36.9364 36.9364 
36.9364 36.9364 36.9364 36.9364 36.9364 36.9364 36.9364 36.9364 36.9364 
36.9364 36.9364 36.9364 36.9364 36.9364 36.9364 36.9364 36.9364 36.9364 
36.9364 36.9364 36.9364 36.9364 36.9364 36.9364 36.9364 36.9364 36.9364 
36.9364 36.9364 36.9364 36.9364 36.9364 36.9364 36.9364 36.9364 36.9364 
36.9364 36.9363 36.9363 36.9363 36.9363 36.9363 36.9363 36.9363 36.9363 
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36.9363 36.9363 36.9363 36.9363 36.9363 36.9363 36.9363 36.9363 36.9363 
36.9363 36.9363 36.9363 36.9363 36.9363 36.9363 36.9363 36.9363 36.9363 
36.9363 36.9363 36.9363 36.9363 36.9363 36.9363 36.9363 36.9363 36.9363 
36.9363 36.9363 36.9363 36.9363 36.9363 36.9363 36.9363 36.9363 36.9363 
36.9363 36.9363 36.9363 36.9363 36.9363 36.9363 36.9363 36.9363 36.9363 
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36.9362 36.9362 36.9362 36.9362 36.9362 36.9362 36.9362 36.9362 36.9362 
36.9362 36.9362 36.9362 36.9362 36.9362 36.9362 36.9362 
 Example listing of 30MLONG.ASC: ARCINFO ASCII grid format input file 
for longitude, in decimal degrees (only the 6 header lines and the first 3 lines of 
the input matrix are listed). 
ncols 367 
nrows 691 
xllcorner 544661.000000 
yllcorner 4067133.000000 
cellsize 30.000000 
NODATA_value -9999.000000 
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116.4958 116.4955 116.4951 116.4948 116.4944 116.4941 116.4938 116.4934 
116.4931 116.4928 116.4924 116.4921 116.4917 116.4914 116.4911 116.4907 
116.4904 116.4901 116.4897 116.4894 116.4891 116.4887 116.4884 116.4880 
116.4877 116.4874 116.4870 116.4867 116.4864 116.4860 116.4857 116.4853 
116.4850 116.4847 116.4843 116.4840 116.4837 116.4833 116.4830 116.4827 
116.4823 116.4820 116.4816 116.4813 116.4810 116.4806 116.4803 116.4800 
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116.4769 116.4766 116.4762 116.4759 116.4756 116.4752 116.4749 116.4746 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 D-12 November 2004 
116.4742 116.4739 116.4736 116.4732 116.4729 116.4725 116.4722 116.4719 
116.4715 116.4712 116.4709 116.4705 116.4702 116.4698 116.4695 116.4692 
116.4688 116.4685 116.4682 116.4678 116.4675 116.4672 116.4668 116.4665 
116.4661 116.4658 116.4655 116.4651 116.4648 116.4645 116.4641 116.4638 
116.4634 116.4631 116.4628 116.4624 116.4621 116.4618 116.4614 116.4611 
116.4608 116.4604 116.4601 116.4597 116.4594 116.4591 116.4587 116.4584 
116.4581 116.4577 116.4574 116.4571 116.4567 116.4564 116.4560 116.4557 
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116.4527 116.4523 116.4520 116.4517 116.4513 116.4510 116.4507 116.4503 
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116.4473 116.4469 116.4466 116.4463 116.4459 116.4456 116.4453 116.4449 
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116.4338 116.4335 116.4331 116.4328 116.4325 116.4321 116.4318 116.4315 
116.4311 116.4308 116.4304 116.4301 116.4298 116.4294 116.4291 116.4287 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 D-13 November 2004 
116.4284 116.4281 116.4277 116.4274 116.4271 116.4267 116.4264 116.4261 
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116.4769 116.4766 116.4762 116.4759 116.4756 116.4752 116.4749 116.4746 
116.4742 116.4739 116.4736 116.4732 116.4729 116.4726 116.4722 116.4719 
116.4715 116.4712 116.4709 116.4705 116.4702 116.4698 116.4695 116.4692 
116.4688 116.4685 116.4682 116.4678 116.4675 116.4672 116.4668 116.4665 
116.4662 116.4658 116.4655 116.4651 116.4648 116.4645 116.4641 116.4638 
116.4634 116.4631 116.4628 116.4624 116.4621 116.4618 116.4614 116.4611 
116.4608 116.4604 116.4601 116.4598 116.4594 116.4591 116.4587 116.4584 
116.4581 116.4577 116.4574 116.4571 116.4567 116.4564 116.4560 116.4557 
116.4554 116.4550 116.4547 116.4544 116.4540 116.4537 116.4533 116.4530 
116.4527 116.4523 116.4520 116.4517 116.4513 116.4510 116.4507 116.4503 
116.4500 116.4496 116.4493 116.4490 116.4486 116.4483 116.4480 116.4476 
116.4473 116.4469 116.4466 116.4463 116.4459 116.4456 116.4453 116.4449 
116.4446 116.4443 116.4439 116.4436 116.4432 116.4429 116.4426 116.4422 
116.4419 116.4416 116.4412 116.4409 116.4405 116.4402 116.4399 116.4395 
116.4392 116.4389 116.4385 116.4382 116.4379 116.4375 116.4372 116.4368 
116.4365 116.4362 116.4358 116.4355 116.4351 116.4348 116.4345 116.4341 
116.4338 116.4335 116.4331 116.4328 116.4325 116.4321 116.4318 116.4315 
116.4311 116.4308 116.4304 116.4301 116.4298 116.4294 116.4291 116.4287 
116.4284 116.4281 116.4277 116.4274 116.4271 116.4267 116.4264 116.4261 
116.4257 116.4254 116.4251 116.4247 116.4244 116.4240 116.4237 116.4234 
116.4230 116.4227 116.4223 116.4220 116.4217 116.4213 116.4210 116.4207 
116.4203 116.4200 116.4197 116.4193 116.4190 116.4187 116.4183 116.4180 
116.4176 116.4173 116.4170 116.4166 116.4163 116.4160 116.4156 116.4153 
116.4149 116.4146 116.4143 116.4139 116.4136 116.4133 116.4129 116.4126 
116.4123 116.4119 116.4116 116.4112 116.4109 116.4106 116.4102 116.4099 
116.4096 116.4092 116.4089 116.4085 116.4082 116.4079 116.4075 116.4072 
116.4069 116.4065 116.4062 116.4059 116.4055 116.4052 116.4048 116.4045 
116.4042 116.4038 116.4035 116.4032 116.4028 116.4025 116.4021 116.4018 
116.4015 116.4011 116.4008 116.4005 116.4001 116.3998 116.3995 116.3991 
116.3988 116.3984 116.3981 116.3978 116.3974 116.3971 116.3968 116.3964 
116.3961 116.3957 116.3954 116.3951 116.3947 116.3944 116.3941 116.3937 
116.3934 116.3931 116.3927 116.3924 116.3920 116.3917 116.3914 116.3910 
116.3907 116.3904 116.3900 116.3897 116.3893 116.3890 116.3887 116.3883 
116.3880 116.3877 116.3873 116.3870 116.3867 116.3863 116.3860 116.3856 
116.3853 116.3850 116.3846 116.3843 116.3840 116.3836 116.3833 116.3829 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 D-14 November 2004 
116.3826 116.3823 116.3819 116.3816 116.3813 116.3809 116.3806 116.3803 
116.3799 116.3796 116.3792 116.3789 116.3786 116.3782 116.3779 116.3776 
116.3772 116.3769 116.3765 116.3762 116.3759 116.3755 116.3752 
 Example listing of 30MSLOPE.ASC: ARCINFO ASCII grid format input file 
for ground surface slope, in degrees (only the 6 header lines and the first 3 lines 
of the input matrix are listed). 
ncols 367 
nrows 691 
xllcorner 544661.000000 
yllcorner 4067133.000000 
cellsize 30.000000 
NODATA_value -9999 
21 25 26 24 25 28 28 24 16 13 21 20 
16 19 22 20 20 21 23 23 22 16 10 18 27 
27 25 23 15 9 14 19 21 23 24 23 23 24 
26 27 23 19 21 24 25 26 30 36 37 33 30 
25 28 36 34 32 31 29 24 20 21 28 34 35 
33 32 30 27 25 23 22 20 17 15 15 16 14 
13 13 11 14 17 16 11 13 20 22 22 19 16 
15 16 18 20 18 16 17 19 21 22 20 19 20 
22 21 18 16 18 22 26 30 29 28 30 29 21 
19 23 24 24 23 23 26 26 26 28 30 28 26 
25 26 26 27 30 33 32 32 30 30 34 37 35 
33 32 32 32 32 32 33 35 38 38 36 32 26 
23 26 27 25 24 28 33 33 29 25 23 20 17 
15 16 17 17 18 18 16 11 12 19 18 16 16 
19 22 20 11 8 18 27 32 36 39 40 41 40 
32 17 14 24 28 28 32 37 33 19 18 26 26 
25 27 30 26 18 19 24 22 18 22 26 28 29 
31 31 31 32 29 24 21 22 25 29 32 37 38 
34 31 31 31 32 30 26 19 18 29 35 35 31 
28 30 33 35 36 32 19 11 18 22 23 21 17 
18 20 18 14 15 19 25 27 26 26 25 17 13 
21 28 30 35 43 46 42 39 35 25 14 12 12 
12 12 13 12 11 10 11 12 13 14 16 13 10 
12 15 16 14 13 15 17 17 15 14 14 15 16 
16 15 13 11 10 11 15 17 19 18 18 19 20 
19 16 15 14 15 16 16 17 21 23 22 19 16 
13 14 16 17 18 21 19 15 12 9 8 7 11 
15 15 16 16 17 16 16 14 12 13 18 18 7 
1 1 2 2 
24 28 28 26 27 28 26 19 11 14 20 18 
15 17 22 20 21 22 23 24 21 13 8 15 27 
28 27 25 18 10 12 17 20 22 24 21 20 24 
26 25 19 17 23 25 25 26 30 35 37 33 27 
23 28 35 35 33 30 28 24 16 12 19 32 36 
35 33 31 28 25 25 25 22 17 14 15 17 15 
12 12 12 14 18 15 11 14 20 21 21 18 16 
15 16 17 17 14 15 17 18 22 23 20 17 17 
17 17 15 15 19 21 25 30 30 27 27 28 24 
23 24 23 21 21 21 24 25 28 30 31 28 24 
23 25 22 21 26 27 28 28 27 26 29 33 32 
31 30 30 30 30 31 32 34 38 39 35 29 24 
26 31 31 30 28 26 28 30 28 25 23 20 15 
12 14 18 22 25 26 28 28 23 17 14 15 17 
18 14 12 17 22 18 15 27 35 40 42 43 44 
41 32 19 13 20 25 28 35 38 31 18 13 19 
23 28 31 29 24 21 23 23 21 21 25 26 29 
31 31 32 32 29 23 20 22 29 34 38 40 38 
33 32 32 32 32 30 28 22 18 28 33 33 30 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 D-15 November 2004 
28 29 33 36 40 38 28 17 13 21 26 22 15 
15 21 24 26 29 31 32 34 32 27 23 24 28 
27 26 28 34 44 46 41 39 36 25 14 14 12 
11 11 11 11 9 9 10 13 13 12 13 12 9 
10 14 16 15 15 16 17 16 15 14 15 14 14 
14 14 12 9 9 12 15 14 14 14 15 16 17 
17 16 16 15 14 15 15 16 18 18 18 17 15 
13 13 16 16 18 22 22 17 11 8 7 7 7 
11 12 12 12 12 12 11 9 5 9 20 21 9 
1 1 1 1 
26 28 27 26 28 28 24 14 8 17 20 17 
13 14 20 20 21 21 22 21 16 12 12 15 27 
28 27 26 21 13 10 15 17 19 20 19 21 26 
25 21 19 22 25 24 23 26 31 35 37 33 24 
20 28 34 35 33 30 30 29 25 18 16 27 36 
37 35 32 28 25 26 26 23 19 15 14 15 13 
11 12 13 14 18 14 10 15 19 19 20 18 15 
14 15 16 16 14 15 17 19 23 25 23 18 16 
15 14 15 18 20 20 22 26 28 27 25 24 22 
21 23 22 21 21 19 22 24 26 28 28 26 22 
21 26 25 23 25 25 25 25 25 23 23 28 27 
26 26 27 29 30 31 33 35 39 40 35 27 25 
32 34 33 31 29 27 25 26 26 26 26 24 20 
15 9 7 16 25 29 30 33 33 31 29 28 29 
27 24 27 29 30 29 22 20 32 40 41 41 43 
42 39 33 20 12 20 26 30 35 37 33 25 15 
12 24 31 30 27 24 24 26 23 19 22 24 27 
30 31 32 32 29 22 21 27 34 38 39 38 34 
31 30 30 31 31 32 31 24 21 29 32 33 31 
28 29 32 36 40 41 35 24 14 17 25 22 13 
9 13 18 25 31 35 36 36 38 36 30 25 30 
38 41 40 36 40 44 40 38 34 23 19 19 17 
14 9 8 8 8 9 11 14 14 13 12 12 9 
7 11 16 16 16 14 12 12 13 16 16 14 11 
11 11 12 10 9 12 13 12 12 13 13 13 14 
16 16 16 15 14 14 14 15 15 14 14 16 17 
15 13 14 15 17 24 24 18 12 8 7 7 8 
8 10 9 9 8 8 9 9 8 10 18 23 11 
2 1 2 2 
 Example listing of 30MASPCT.ASC: ARCINFO ASCII grid format input file 
for ground surface aspect, in degrees (only the 6 header lines and the first 3 
lines of the input matrix are listed). 
ncols 367 
nrows 691 
xllcorner 544661.000000 
yllcorner 4067133.000000 
cellsize 30.000000 
NODATA_value -9999 
238 259 269 277 284 286 284 277 241 169 127 128 
166 220 232 224 204 188 178 162 141 136 122 88 85 
86 88 93 117 174 218 225 225 224 218 202 204 226 
246 253 244 220 193 180 187 208 229 242 247 247 241 
206 147 125 130 143 149 139 118 92 66 57 62 70 
76 80 82 84 84 87 98 113 128 137 128 116 129 
177 206 166 120 120 120 167 251 262 263 259 249 229 
203 179 161 152 170 205 229 228 223 220 209 192 189 
192 184 180 206 244 255 257 258 257 255 251 243 205 
153 148 166 185 179 160 159 169 158 132 122 136 160 
188 208 203 181 159 146 141 141 149 176 204 207 196 
186 191 201 206 211 223 232 238 245 251 253 246 221 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 D-16 November 2004 
180 155 153 155 144 117 101 96 94 92 87 78 66 
60 63 65 64 63 59 59 99 162 164 153 148 148 
142 124 103 100 133 183 202 212 218 224 222 214 210 
203 158 82 48 46 47 53 60 68 114 181 186 179 
193 221 233 225 188 132 113 120 158 200 212 212 215 
220 221 224 225 216 199 175 154 145 145 139 129 129 
133 132 126 118 110 106 111 140 202 244 248 248 243 
236 232 231 233 239 240 210 134 81 81 96 109 108 
91 80 77 83 98 107 108 113 128 146 156 145 93 
45 41 51 65 78 85 85 82 82 88 100 118 136 
151 158 156 151 154 150 149 167 168 140 114 130 169 
192 217 224 206 189 185 187 188 180 165 159 167 180 
189 188 185 191 183 158 153 164 172 179 181 182 196 
198 180 167 162 145 132 136 152 156 147 135 132 131 
118 99 92 91 91 94 100 106 107 102 110 151 200 
206 193 176 163 157 157 147 118 73 43 60 77 126 
184 184 238 245 
274 281 283 285 288 290 289 284 228 137 125 128 
160 219 231 212 192 182 177 168 159 181 167 74 80 
80 81 84 94 142 206 221 220 218 214 209 227 255 
264 261 238 199 177 176 193 219 240 249 252 252 241 
199 140 124 125 135 149 153 150 145 115 74 72 75 
78 81 83 83 82 83 87 94 107 127 136 130 130 
168 219 181 117 115 126 177 250 259 257 250 236 215 
192 175 160 149 174 218 224 214 215 219 210 190 186 
195 191 200 235 255 257 256 255 253 250 245 233 198 
155 144 160 186 186 158 147 161 166 148 130 130 151 
189 215 204 171 151 142 135 133 139 165 201 209 197 
190 196 205 212 222 234 242 248 254 257 256 243 210 
170 157 158 164 164 140 109 91 82 78 79 81 82 
75 58 42 35 35 30 27 35 44 42 36 40 69 
102 113 72 20 34 77 145 205 213 219 211 205 213 
216 205 182 125 61 58 62 63 60 61 87 137 173 
197 221 227 221 195 150 120 116 142 190 211 210 215 
220 221 223 224 222 205 178 155 140 143 145 139 134 
137 139 134 130 125 118 118 145 208 251 255 250 240 
228 224 226 229 233 231 217 182 123 78 75 72 61 
50 49 37 28 34 42 48 54 63 87 129 169 170 
157 137 115 104 95 92 90 91 93 88 77 76 92 
119 144 152 154 158 151 140 150 169 157 117 110 140 
184 217 220 200 183 179 184 195 186 167 160 163 178 
192 196 201 203 181 150 142 152 167 178 178 180 200 
203 182 171 169 154 134 127 132 139 142 134 129 137 
142 126 105 97 92 93 102 115 125 117 95 105 157 
201 194 173 158 150 148 146 150 218 223 67 78 81 
104 174 239 240 
287 283 280 279 280 282 283 275 210 119 121 129 
163 220 224 200 187 181 175 171 189 242 195 61 79 
79 79 78 81 110 176 219 219 219 224 239 261 271 
267 248 210 176 169 180 207 235 250 256 257 254 237 
188 134 123 122 128 141 154 166 179 178 137 88 80 
79 79 80 80 80 83 85 87 90 100 113 121 127 
161 212 189 125 107 121 183 256 259 251 239 226 210 
187 172 160 154 179 214 211 201 208 217 211 193 189 
197 204 235 269 280 279 273 262 253 247 240 227 196 
158 142 155 185 192 162 135 143 159 153 137 128 140 
180 215 202 167 148 144 134 127 129 153 197 213 200 
194 202 211 222 234 242 247 252 257 257 251 231 190 
160 159 161 167 173 162 136 112 100 100 105 113 126 
139 138 85 18 23 20 19 27 28 20 12 20 46 
52 147 323 205 29 59 97 160 203 211 206 208 220 
219 212 211 194 133 71 66 63 57 50 48 56 86 
156 219 225 217 199 168 138 126 140 182 210 209 215 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 D-17 November 2004 
220 223 225 231 232 208 173 155 140 138 143 144 139 
135 136 134 130 129 128 128 157 219 247 245 238 229 
221 220 223 225 228 225 220 220 172 85 80 79 78 
73 54 24 10 22 34 41 48 58 68 85 122 161 
171 166 155 138 110 95 92 90 81 60 47 59 69 
81 97 116 135 152 153 138 135 160 176 147 116 119 
161 210 212 193 181 182 196 204 183 167 163 168 183 
196 204 216 209 171 141 135 142 160 174 174 180 203 
203 180 173 175 165 143 125 118 120 126 126 122 130 
152 150 117 101 96 93 99 113 135 152 134 103 122 
176 197 174 153 142 134 131 159 223 191 81 81 78 
97 169 234 246 
 Example listing of 30MELEV.ASC: ARCINFO ASCII grid format input file 
for ground surface elevation, in meters (only the 6 header lines and the first 3 
lines of the input matrix are listed). 
ncols 367 
nrows 691 
xllcorner 544661.000000 
yllcorner 4067133.000000 
cellsize 30.000000 
NODATA_value -9999 
1739 1750 1767 1781 1794 1807 1824 1838 1851 1854 1846 1836 
1829 1833 1843 1852 1858 1861 1862 1861 1854 1846 1841 1836 1821 
1805 1791 1777 1765 1763 1766 1772 1781 1789 1799 1805 1807 1814 
1825 1840 1854 1863 1868 1868 1867 1871 1881 1898 1920 1939 1955 
1969 1969 1950 1932 1919 1910 1900 1889 1878 1869 1857 1841 1821 
1803 1784 1766 1750 1734 1722 1708 1697 1689 1684 1680 1673 1664 
1659 1663 1666 1660 1653 1646 1638 1641 1652 1663 1676 1688 1696 
1700 1701 1699 1693 1689 1690 1696 1704 1711 1719 1727 1730 1730 
1733 1735 1735 1735 1742 1753 1766 1783 1800 1815 1831 1848 1861 
1858 1850 1844 1843 1845 1843 1836 1833 1832 1825 1809 1793 1786 
1785 1790 1797 1799 1796 1787 1776 1764 1752 1744 1750 1763 1772 
1774 1776 1782 1790 1797 1807 1822 1838 1859 1881 1904 1924 1939 
1944 1939 1932 1926 1922 1911 1892 1871 1852 1838 1824 1812 1803 
1796 1788 1778 1770 1762 1754 1745 1739 1738 1737 1734 1729 1725 
1722 1716 1704 1692 1688 1688 1694 1704 1714 1731 1751 1766 1778 
1792 1802 1797 1788 1775 1764 1752 1733 1710 1695 1695 1699 1700 
1699 1705 1719 1732 1740 1736 1724 1710 1702 1705 1711 1720 1728 
1740 1752 1763 1777 1791 1798 1799 1796 1789 1780 1771 1756 1735 
1719 1707 1693 1678 1661 1642 1626 1614 1611 1623 1641 1662 1681 
1695 1708 1722 1738 1756 1776 1791 1793 1781 1770 1755 1741 1733 
1725 1714 1704 1696 1689 1681 1670 1655 1643 1637 1635 1635 1631 
1623 1611 1600 1585 1563 1529 1499 1475 1454 1434 1423 1416 1412 
1409 1407 1405 1401 1398 1396 1392 1390 1390 1388 1380 1372 1370 
1370 1373 1380 1385 1387 1388 1389 1390 1391 1390 1387 1384 1383 
1384 1386 1386 1387 1388 1388 1384 1380 1378 1377 1378 1378 1379 
1384 1386 1384 1383 1379 1373 1366 1361 1358 1353 1344 1335 1329 
1323 1316 1309 1299 1290 1279 1268 1259 1252 1246 1241 1238 1240 
1243 1246 1247 1245 1241 1237 1234 1229 1223 1218 1214 1201 1194 
1195 1194 1195 1196 
1738 1754 1770 1785 1800 1815 1830 1843 1850 1848 1839 1830 
1823 1824 1836 1845 1848 1848 1848 1847 1843 1838 1839 1839 1824 
1808 1793 1778 1764 1759 1760 1765 1771 1779 1787 1793 1796 1807 
1823 1838 1851 1856 1856 1855 1854 1859 1871 1889 1911 1933 1949 
1959 1955 1938 1921 1905 1893 1888 1881 1876 1873 1866 1852 1829 
1807 1786 1768 1751 1736 1723 1709 1695 1684 1677 1673 1667 1660 
1654 1657 1663 1658 1648 1640 1635 1639 1649 1661 1672 1682 1689 
1692 1692 1690 1685 1680 1683 1691 1696 1702 1710 1718 1721 1721 
1723 1726 1726 1730 1740 1750 1762 1778 1796 1811 1825 1839 1850 
1848 1839 1831 1830 1834 1833 1825 1819 1817 1812 1799 1783 1772 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 D-18 November 2004 
1770 1777 1787 1788 1782 1774 1763 1750 1739 1732 1733 1743 1751 
1755 1758 1764 1772 1783 1797 1813 1829 1850 1876 1899 1917 1929 
1931 1924 1916 1910 1907 1902 1889 1871 1853 1839 1827 1816 1808 
1801 1794 1787 1780 1771 1763 1757 1749 1738 1733 1730 1728 1724 
1715 1706 1701 1697 1696 1688 1682 1690 1700 1714 1732 1741 1755 
1773 1785 1794 1793 1784 1773 1761 1744 1723 1701 1686 1684 1683 
1685 1694 1708 1721 1731 1730 1719 1707 1696 1692 1699 1707 1714 
1726 1737 1750 1763 1775 1785 1787 1785 1777 1765 1754 1739 1719 
1703 1692 1680 1665 1652 1637 1622 1608 1605 1617 1635 1655 1672 
1685 1696 1708 1723 1744 1765 1779 1784 1783 1773 1759 1745 1736 
1733 1726 1714 1707 1700 1690 1678 1664 1647 1631 1617 1617 1622 
1624 1621 1608 1588 1563 1526 1500 1476 1452 1431 1422 1416 1409 
1403 1400 1397 1395 1393 1392 1389 1385 1382 1382 1378 1369 1365 
1364 1367 1374 1379 1379 1379 1378 1379 1383 1382 1380 1377 1375 
1376 1378 1380 1382 1384 1383 1377 1372 1370 1369 1370 1369 1370 
1375 1378 1376 1375 1374 1369 1361 1355 1347 1341 1336 1329 1323 
1319 1316 1307 1298 1289 1277 1264 1255 1249 1246 1242 1237 1234 
1236 1239 1239 1237 1234 1231 1228 1225 1224 1224 1218 1203 1194 
1194 1194 1194 1195 
1742 1758 1774 1788 1803 1820 1834 1845 1849 1843 1832 1824 
1818 1819 1828 1834 1836 1836 1836 1834 1831 1833 1841 1840 1827 
1811 1795 1780 1766 1757 1753 1759 1764 1770 1776 1783 1793 1808 
1823 1837 1846 1846 1842 1838 1840 1850 1865 1884 1905 1927 1943 
1951 1944 1928 1910 1891 1879 1870 1865 1864 1866 1865 1854 1834 
1811 1789 1770 1753 1739 1726 1710 1696 1684 1675 1668 1660 1655 
1651 1652 1658 1655 1645 1635 1631 1637 1648 1658 1669 1677 1682 
1684 1683 1682 1678 1675 1679 1684 1688 1691 1699 1708 1712 1712 
1714 1717 1719 1728 1737 1748 1760 1774 1790 1806 1819 1830 1837 
1836 1828 1821 1819 1823 1823 1816 1805 1800 1796 1787 1775 1764 
1760 1767 1777 1778 1770 1763 1754 1742 1730 1720 1718 1729 1736 
1739 1743 1750 1760 1771 1786 1804 1824 1845 1870 1894 1911 1918 
1913 1904 1898 1892 1889 1889 1883 1872 1858 1844 1829 1815 1804 
1798 1795 1794 1791 1786 1779 1775 1768 1758 1748 1743 1742 1734 
1716 1705 1706 1713 1712 1699 1681 1674 1679 1692 1705 1713 1728 
1751 1766 1778 1788 1789 1779 1766 1752 1736 1718 1701 1686 1677 
1675 1681 1694 1707 1716 1719 1712 1701 1687 1681 1689 1694 1702 
1712 1723 1736 1749 1765 1777 1778 1775 1765 1747 1730 1716 1704 
1691 1678 1667 1653 1639 1626 1612 1598 1598 1614 1631 1649 1663 
1674 1683 1695 1709 1725 1746 1764 1774 1780 1776 1763 1749 1739 
1734 1729 1724 1724 1719 1708 1695 1681 1664 1642 1620 1605 1598 
1596 1593 1587 1576 1560 1527 1500 1475 1450 1432 1429 1421 1412 
1403 1397 1394 1391 1389 1388 1385 1379 1374 1376 1376 1370 1363 
1359 1361 1367 1370 1370 1370 1370 1373 1376 1375 1372 1369 1369 
1369 1371 1375 1379 1380 1377 1372 1367 1364 1363 1362 1361 1362 
1367 1369 1367 1367 1365 1363 1357 1350 1343 1337 1331 1325 1316 
1311 1310 1304 1297 1290 1279 1263 1251 1244 1242 1241 1238 1234 
1231 1233 1234 1232 1230 1227 1224 1220 1222 1228 1222 1206 1196 
1194 1194 1194 1195 
 Example listing of 30MSOIL.ASC: ARCINFO ASCII grid format input file for 
soil type identification (only the 6 header lines and the first 3 lines of the input 
matrix are listed). 
ncols 367 
nrows 691 
xllcorner 544661.000000 
yllcorner 4067133.000000 
cellsize 30.000000 
NODATA_value -9999 
5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 3 5 5 5 5 5 5 5 5 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 D-19 November 2004 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 4 4 9 9 9 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 9 9 9 9 9 
9 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 3 3 3 
3 2 2 2 2 2 2 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 2 5 9 9 
9 9 9 9 5 5 5 5 5 5 9 9 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 1 1 1 2 5 1 
1 1 1 1 1 1 5 5 5 5 5 3 3 
4 4 3 3 
5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 3 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 4 5 5 5 9 9 9 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 9 9 9 9 9 
9 9 9 5 5 5 5 5 5 5 5 5 5 
9 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 3 3 3 
3 3 2 2 2 2 2 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 2 5 9 9 
9 9 9 9 5 5 5 5 9 9 9 9 9 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 9 1 1 1 2 3 
1 1 1 1 1 1 1 5 5 5 5 5 3 
4 3 3 3 
5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 D-20 November 2004 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 9 9 9 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 9 9 9 9 9 9 
9 9 9 5 5 5 5 5 5 5 5 9 9 
9 9 9 5 5 9 9 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 5 5 5 5 
3 3 3 3 2 2 2 2 5 5 5 5 5 
5 5 5 5 5 5 5 5 5 2 5 3 9 
9 9 9 5 5 5 5 5 9 9 9 9 9 
5 5 5 5 5 5 5 5 5 5 5 5 5 
5 5 5 5 5 5 9 9 9 1 1 1 2 
1 1 1 1 1 1 1 1 5 5 5 5 4 
4 3 3 3 
 Example listing of 30MSOIL.ASC: ARCINFO ASCII grid format input file for 
soil type identification (only the 6 header lines and the first 3 lines of the input 
matrix are listed). 
ncols 367 
nrows 691 
xllcorner 544661.000000 
yllcorner 4067133.000000 
cellsize 30.000000 
NODATA_value -9999 
1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 3 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 3 3 2 2 2 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 2 2 2 2 2 
2 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 3 4 4 
4 4 4 4 4 3 3 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 3 1 2 2 
2 2 2 2 1 1 1 1 1 1 2 2 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 3 4 4 3 1 1 
3 3 3 3 3 3 1 1 1 1 1 3 3 
4 4 4 4 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 D-21 November 2004 
1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 3 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 3 1 1 1 2 2 2 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 2 2 2 2 2 
2 2 2 1 1 1 1 1 1 1 1 1 1 
2 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 3 3 3 
4 4 4 4 4 4 3 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 3 1 2 2 
2 2 2 2 1 1 1 1 2 2 2 2 2 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 2 3 4 4 3 3 
4 4 4 4 4 4 3 1 1 1 1 1 3 
4 4 4 4 
1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 2 2 2 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 2 2 2 2 2 2 
2 2 2 1 1 1 1 1 1 1 1 2 2 
2 2 2 1 1 2 2 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
3 3 4 4 4 4 4 3 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 3 1 3 2 
2 2 2 1 1 1 1 1 2 2 2 2 2 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 2 2 2 3 4 4 4 
4 4 4 4 4 4 4 3 1 1 1 1 3 
4 4 4 4 
 Example listing of 30MDEPTH.ASC: ARCINFO ASCII grid format input file 
for soil depth class identification (only the 6 header lines and the first 3 lines of 
the input matrix are listed). 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 D-22 November 2004 
ncols 367 
nrows 691 
xllcorner 544661.000000 
yllcorner 4067133.000000 
cellsize 30.000000 
NODATA_value -9999 
1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 3 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 3 3 2 2 2 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 2 2 2 2 2 
2 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 3 4 4 
4 4 4 4 4 3 3 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 3 1 2 2 
2 2 2 2 1 1 1 1 1 1 2 2 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 3 4 4 3 1 1 
3 3 3 3 3 3 1 1 1 1 1 3 3 
4 4 4 4 
1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 3 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 3 1 1 1 2 2 2 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 2 2 2 2 2 
2 2 2 1 1 1 1 1 1 1 1 1 1 
2 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 3 3 3 
4 4 4 4 4 4 3 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 3 1 2 2 
2 2 2 2 1 1 1 1 2 2 2 2 2 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 2 3 4 4 3 3 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 D-23 November 2004 
4 4 4 4 4 4 3 1 1 1 1 1 3 
4 4 4 4 
1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 2 2 2 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 2 2 2 2 2 2 
2 2 2 1 1 1 1 1 1 1 1 2 2 
2 2 2 1 1 2 2 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 1 1 1 1 
3 3 4 4 4 4 4 3 1 1 1 1 1 
1 1 1 1 1 1 1 1 1 3 1 3 2 
2 2 2 1 1 1 1 1 2 2 2 2 2 
1 1 1 1 1 1 1 1 1 1 1 1 1 
1 1 1 1 1 1 2 2 2 3 4 4 4 
4 4 4 4 4 4 4 3 1 1 1 1 3 
4 4 4 4 
 Example listing of 30MROCK.ASC: ARCINFO ASCII grid format input file 
for rock type identification number (only the 6 header lines and the first 3 lines 
of the input matrix are listed). 
ncols 367 
nrows 691 
xllcorner 544661.000000 
yllcorner 4067133.000000 
cellsize 30.000000 
NODATA_value -9999 
201 201 201 201 201 201 201 201 201 202 202 202 
202 202 201 201 201 201 201 201 201 201 201 201 201 
201 203 203 203 203 203 201 201 201 201 201 201 201 
201 201 201 201 201 201 201 201 201 201 201 201 201 
201 201 201 201 201 201 201 201 201 201 201 201 201 
201 201 201 201 201 201 201 201 201 201 201 201 201 
201 201 201 201 201 201 201 204 204 201 201 201 201 
201 201 201 201 201 201 201 201 201 201 201 201 203 
203 201 201 201 201 201 201 201 201 201 201 201 201 
201 201 201 201 201 201 201 201 201 201 201 201 201 
201 201 201 205 205 205 205 205 205 205 205 205 205 
205 205 206 206 206 206 206 206 206 206 206 206 206 
206 206 206 206 206 206 206 206 206 206 206 206 206 
206 206 206 206 206 206 206 206 206 206 206 206 206 
206 206 206 206 206 204 204 204 206 206 206 206 206 
206 206 206 206 206 206 206 206 206 206 206 206 206 
206 206 207 207 207 207 207 206 206 206 206 206 206 
206 206 206 206 206 206 206 206 206 206 206 206 206 
206 206 206 206 206 206 206 208 208 208 205 205 205 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 D-24 November 2004 
205 205 205 202 202 202 202 202 202 202 202 202 202 
202 202 202 202 202 202 202 202 202 202 202 202 202 
202 202 202 202 202 202 202 202 202 202 202 202 204 
204 204 204 204 204 204 204 202 202 202 202 204 204 
204 202 202 202 202 202 202 202 202 202 202 202 204 
204 204 202 202 202 202 202 202 202 202 202 202 202 
205 205 205 205 205 205 205 205 205 205 205 205 205 
205 205 205 205 205 205 204 204 204 204 204 204 204 
204 205 205 205 205 205 205 205 205 205 209 209 204 
204 204 204 204 
201 201 201 201 201 201 201 201 201 201 202 202 
202 202 201 201 201 201 201 201 201 201 201 201 201 
201 203 203 203 203 203 203 201 201 201 201 201 201 
201 201 201 201 201 201 201 201 201 201 201 201 201 
201 201 201 201 201 201 201 201 201 201 201 201 201 
201 201 201 201 201 201 201 201 201 201 201 201 201 
201 201 201 201 201 201 201 204 204 201 201 201 201 
201 201 201 201 201 201 201 201 201 201 201 201 203 
203 201 201 201 201 201 201 201 201 201 201 201 201 
201 201 201 201 201 201 201 201 201 201 201 201 201 
201 201 201 201 205 205 205 205 205 205 205 205 205 
205 205 206 206 206 206 206 206 206 206 206 206 206 
206 206 206 206 206 206 206 206 206 206 206 206 206 
206 206 206 206 206 206 206 206 206 206 206 206 206 
206 206 206 206 206 206 204 204 204 204 206 206 206 
206 206 206 206 206 206 206 206 206 206 206 206 206 
206 206 207 207 207 207 207 206 206 206 206 206 206 
206 206 206 206 206 206 206 206 206 206 206 206 206 
206 206 206 202 202 202 202 208 208 208 205 205 205 
205 205 205 202 202 202 202 202 202 202 202 202 202 
202 202 202 202 202 202 202 202 202 202 202 202 202 
202 202 202 202 202 202 202 202 202 202 202 202 204 
204 204 204 204 204 204 204 204 202 202 202 202 204 
204 204 202 202 202 202 202 202 202 202 202 204 204 
204 204 202 202 202 202 202 202 202 202 202 202 202 
202 205 205 205 205 205 205 205 205 205 205 205 205 
205 205 205 205 205 205 204 204 204 204 204 204 204 
204 204 205 205 205 205 205 205 205 209 209 209 204 
204 204 204 204 
201 201 201 201 201 201 201 201 201 201 202 202 
201 201 201 201 201 201 201 201 201 201 201 201 201 
201 203 203 203 203 203 203 201 201 201 201 201 201 
201 201 201 201 201 201 201 201 201 201 201 201 201 
201 201 201 201 201 201 201 201 201 201 201 201 201 
201 201 201 201 201 201 201 201 201 201 201 201 201 
201 201 201 201 201 201 201 204 204 201 201 201 201 
201 201 201 201 201 201 201 201 201 201 201 201 203 
203 201 201 201 201 201 201 201 201 201 201 201 201 
201 201 201 201 201 201 201 201 201 201 201 201 201 
201 201 201 201 205 205 205 205 205 205 205 205 205 
205 205 206 206 206 206 206 206 206 206 206 206 206 
206 206 206 206 206 206 206 206 206 206 206 206 206 
206 206 206 206 206 206 206 206 206 206 206 206 206 
206 206 206 206 206 206 206 204 204 204 206 206 206 
206 206 206 206 206 206 206 206 206 206 206 206 206 
206 206 206 207 207 207 207 206 206 206 206 206 206 
206 206 206 206 206 206 206 206 206 206 206 206 202 
202 202 202 202 202 202 202 208 208 208 205 205 205 
205 205 205 205 202 202 202 202 202 202 202 202 202 
202 202 202 202 202 202 202 202 202 202 202 202 202 
202 202 202 202 202 202 202 202 202 202 202 202 202 
204 204 204 204 204 204 204 204 204 204 204 204 204 
204 204 202 202 202 202 202 202 202 202 202 204 204 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 D-25 November 2004 
204 202 202 202 202 202 202 202 202 202 202 202 202 
202 205 205 205 205 205 205 205 205 205 205 205 205 
205 205 205 205 205 205 204 204 204 204 204 204 204 
204 204 204 204 205 205 205 205 205 209 209 209 204 
204 204 204 204 
 Example listing of 30MTOPO.ASC: ARCINFO ASCII grid format input file 
for topographic location number (only the 6 header lines and the first 3 lines of 
the input matrix are listed). 
ncols 367 
nrows 691 
xllcorner 544661.000000 
yllcorner 4067133.000000 
cellsize 30.000000 
NODATA_value -9999 
4 4 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 2 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 5 4 4 4 4 
4 4 4 1 1 3 3 3 4 4 4 4 4 
4 4 5 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 3 3 3 3 3 
3 4 4 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 5 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 2 1 2 
2 2 2 2 2 2 2 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 2 4 3 3 
3 3 3 3 2 2 2 2 2 2 3 3 2 
2 2 2 2 2 2 2 2 2 2 2 2 2 
2 2 2 2 2 2 2 2 2 2 2 5 4 
2 2 2 2 2 2 4 4 4 4 4 2 2 
1 1 2 2 
4 4 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 5 5 4 
4 4 4 4 2 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 4 4 4 
4 4 1 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 4 4 4 
4 4 1 4 4 4 3 3 3 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 3 3 3 3 3 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 D-26 November 2004 
3 3 3 4 4 4 4 4 4 4 4 4 4 
3 4 4 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 2 2 2 
2 2 2 2 2 2 2 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 2 4 3 3 
3 3 3 3 5 2 2 2 3 3 3 3 3 
2 2 2 2 2 2 2 2 2 2 2 2 2 
2 2 2 2 2 2 2 3 2 2 2 2 2 
2 2 2 2 2 2 2 4 5 5 4 4 2 
1 2 2 2 
4 4 4 4 4 4 4 4 5 4 4 4 
4 4 4 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 5 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 5 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 4 4 4 
4 4 6 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 3 3 3 4 4 4 
4 4 4 4 5 4 4 4 4 4 4 4 4 
5 4 4 4 4 4 4 3 3 3 3 3 3 
3 3 3 4 4 4 4 4 4 4 4 3 3 
3 3 3 4 4 3 3 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 4 4 4 
4 4 4 4 4 4 4 4 4 4 4 4 4 
2 2 2 2 2 2 2 2 4 4 4 4 4 
5 5 4 4 4 4 4 4 4 2 4 2 3 
3 3 3 2 5 2 2 2 3 3 3 3 3 
2 2 2 2 2 2 2 2 2 2 2 2 2 
2 2 2 2 2 2 3 3 3 2 2 2 2 
2 2 2 2 2 2 2 2 5 4 4 4 1 
1 2 2 2 
 Example listing of 30MSITE.INP: main output file generated by BLOCKR7 
V1.0 and supplied as input to GEOMAP7 (only the 6 header lines and the first 
3 lines of the input matrix are listed). 
1 544661. 4087833. 36.9373 116.4985 21 238 1739 5 1 201 4 0 0 
0 0 0 0 0 2 25 25 25 24 23 21 19 16 11 11 1 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
2 544691. 4087833. 36.9373 116.4981 25 259 1750 5 1 201 4 0 0 
0 0 0 0 0 3 29 28 27 26 25 22 19 17 11 11 1 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
3 544721. 4087833. 36.9373 116.4978 26 269 1767 5 1 201 4 0 0 
0 0 0 0 0 2 25 25 26 26 24 20 18 17 10 10 1 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
4 544751. 4087833. 36.9373 116.4975 24 277 1781 5 1 201 4 0 0 
0 0 0 0 0 2 25 25 26 26 25 22 18 16 9 9 2 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
5 544781. 4087833. 36.9373 116.4971 25 284 1794 5 1 201 4 0 0 
0 0 0 0 0 2 26 26 27 26 25 23 21 17 11 11 2 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 D-27 November 2004 
6 544811. 4087833. 36.9373 116.4968 28 286 1807 5 1 201 4 0 0 
0 0 0 0 0 3 29 28 24 25 24 23 20 17 14 14 2 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
7 544841. 4087833. 36.9373 116.4965 28 284 1824 5 1 201 4 0 0 
0 0 0 0 0 2 25 23 15 16 15 17 15 13 11 11 1 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
8 544871. 4087833. 36.9373 116.4961 24 277 1838 5 1 201 4 0 0 
0 0 0 0 0 2 23 20 2 5 6 6 6 5 8 9 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
9 544901. 4087833. 36.9373 116.4958 16 241 1851 5 1 201 4 0 0 
0 0 0 0 0 0 5 4 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
10 544931. 4087833. 36.9373 116.4955 13 169 1854 5 1 202 4 0 0 
0 0 0 0 0 0 5 4 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
11 544961. 4087833. 36.9373 116.4951 21 127 1846 5 1 202 4 0 0 
0 0 0 0 0 0 5 4 0 0 0 0 0 0 0 0 2 1 0 1 1 1 2 1 14 12 
0 0 0 0 0 0 0 0 
12 544991. 4087833. 36.9373 116.4948 20 128 1836 5 1 202 4 0 0 
0 0 0 0 0 0 8 7 1 1 0 0 0 0 0 0 2 4 4 4 4 7 9 9 18 15 
0 0 0 0 0 0 0 0 
13 545021. 4087833. 36.9373 116.4944 16 166 1829 5 1 202 4 0 0 
0 0 0 0 0 1 14 13 8 3 1 0 0 0 0 0 2 5 6 6 6 7 8 11 15 13 
0 0 0 0 0 0 0 0 
14 545051. 4087833. 36.9373 116.4941 19 220 1833 5 1 202 4 0 0 
0 0 0 0 0 2 18 16 8 6 2 1 0 0 0 0 0 3 4 4 3 3 3 3 9 7 
0 0 0 0 0 0 0 0 
15 545081. 4087833. 36.9373 116.4938 22 232 1843 5 1 201 4 0 0 
0 0 0 0 0 1 16 14 3 2 0 0 0 0 0 0 0 0 1 2 1 1 1 1 4 3 
0 0 0 0 0 0 0 0 
16 545111. 4087833. 36.9373 116.4934 20 224 1852 5 1 201 4 0 0 
0 0 0 0 0 1 11 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
17 545141. 4087833. 36.9373 116.4931 20 204 1858 5 1 201 4 0 0 
0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
18 545171. 4087833. 36.9373 116.4928 21 188 1861 5 1 201 4 0 0 
0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
19 545201. 4087833. 36.9373 116.4924 23 178 1862 5 1 201 4 0 0 
0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
20 545231. 4087833. 36.9373 116.4921 23 162 1861 5 1 201 4 0 0 
0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 
0 0 0 0 0 0 0 0 
 Figures used as part of the routine test plan: 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 D-28 November 2004 
545000 
545000 
550000 
550000 
555000 
555000 
4070000
4070000 
4075000
4075000 
4080000
4080000 
4085000
4085000 
Hillshade 
0 - 132 
133 - 152 
153 - 164 
165 - 171 
172 - 175 
176 - 179 
180 - 186 
187 - 201 
202 - 254 
Output DTN: GS000308311221.004. 
Figure D-1. Shaded Relief Representation of the Digital Elevation Model (DEM) Used As Input to 
BLOCKR7 V1.0 for Calculating the Blocking Ridge Angles Required as Input to INFIL V2.0 
for the Yucca Mountain Model Domain 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 D-29 November 2004 
545000 
545000 
550000 
550000 
555000 
555000 
4070000
4070000 
4075000
4075000 
4080000
4080000 
4085000
4085000 
Skyview 
70 - 73 
73 - 76 
76 - 79 
79 - 82 
82 - 85 
85 - 88 
88 - 91 
91 - 94 
94 - 97 
97 - 100 
Output DTN: GS000308311221.004. 
Figure D-2. Sky-view Factor for Yucca Mountain Model Domain, Indicating the Percentage of Sky 
Viewed from the Ground Surface Relative to the View from an Infinite Horizontal Plane, 
Generated for Each Model Grid Cell Location Using the 36 Blocking Ridge Angles 
Calculated in BLOCKR7 V1.0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 D-30 November 2004 
545000 
545000 
550000 
550000 
555000 
555000 
4070000
4070000 
4075000
4075000 
4080000
4080000 
4085000
4085000 
Skyview 
70 - 73 
73 - 76 
76 - 79 
79 - 82 
82 - 85 
85 - 88 
88 - 91 
91 - 94 
94 - 97 
97 - 100 
Output DTN: GS000308311221.004. 
Figure D-3. Sky-view Factor for the Area of the Repository, Indicating the Expected High (greater than 
90 percent) Sky-view Percentages for Ridge-tops and Alluviul Fans, and the Expected Low 
(less than80 percent) Sky-view Percentages on Steep Side-slopes and Narrow Washes 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 D-31 November 2004 
 Listing of source code for routine BLOCKR7 V1.0: 
program blockr7 
c version 1.0 
c 
c This routine is the first in a sequence of pre-processing 
c routines used to develop the geospatial input files used 
c for the net infiltration modleing program, INFIL version 2.0. 
c 
c BLOCKR7 performs two functions: The first function is to 
c assemble the ASCII grid matrices that are exported from 
c ARCINFO and ARCVIEW using the standard ASCII raster grid 
c export format. A total of 9 ASCII grid matrices (one file 
c per parameter) are input to BLOCKR7. The routine combines 
c the separate parameters into a single xyz column formatted 
c ASCII output file. 
c 
c The second function performed by this routine is a calculation 
c of 36 blocking ridge angles (one angle for each 10 degree azimuth 
c direction, starting with 0 degrees for the positive Y direction). 
c The blocking ridge angles are used as input by INFIL version 2.0 
c for the calculation of the reduction in skyview. The skyview factor 
c is calculated (using the blocking ridge angles) and output to 
c to 2 files (a column formatted ASCII text file and an ARCINFO 
c ASCII grid file) that are used to validate the blocking ridge 
c angles. 
c 
c The 9 input parameters, 2 UTM coordinates (easting and northing), 
c a row counter used as a grid cell identifier, and the 36 
c blocking ridge angles are assembled into a single column 
c formatted ASCII text file with each row corresponding 
c to a grid cell location and each column corresponding to a 
c grid cell parameter according to the following column order: 
c 
c column 1: LOCID (grid location number) 
c column 2: X (UTM easting coordinate, in meters) 
c column 3: Y (UTM northing coordinate, in meters) 
c column 4: LAT (latitude for X coordinate, in decimal degrees) 
c column 5: LONG (longitude for Y coordinate, in decimal degress) 
c column 6: SLOPE (ground surface slope, in degress) 
c column 7: ASPECT (ground surface aspect, in degrees) 
c column 8: ELEV (ground surface elevation, in meters) 
c column 9: SOIL (soil type identification number) 
c column 10: DEPTH (soil depth class identification number) 
c column 11: ROCK (rock type identification number) 
c column 12: TOPOID (topographic position identification number) 
c column 13: RIDGE(1) (1st blocking ridge angle) 
c   
c   
c column 48 RIDGE(36) (last blocking risge angle) 
c 
c 
c This routine is a modification of the prototype routine 
c REGRIDGE, version 1.0 (3/24/98), 
c developed by Alan Flint, U.S. Geological Survey. 
c This routine was developed by 
c Joe Hevesi, U.S. Geological Survey, WRD 
c Placer Hall, 6000 J Street 
c Sacramento, CA, 
c 
c 
double precision east(1000,1000),north(1000,1000) 
double precision xll,yll,cellsize 
double precision easting,northing 
double precision dist,agl,dr,rd 
c 
real lat(1000,1000),long(1000,1000) 
real nodata2,x,y 
real angle(36),ang(36) 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 D-32 November 2004 
real EL,EST,NTH,maxelev,initelev,perdone 
real sl2,aspect,viewf,costheta,theta 
real ridge2(36) 
real viewfactor(1000) 
c 
integer locid(1000,1000),slope(1000,1000),aspct(1000,1000), 
1 elev(1000,1000),soil(1000,1000),dpth(1000,1000), 
2 rock(1000,1000),topo(1000,1000) 
c 
integer iang 
integer xang(36),yang(36),ang2(36),anp(36) 
integer rows,cols,nodata1 
integer xx,yy,k,cnt,lp,counter,totcell 
c 
character*20 locgrd,latgrd,longgrd,slopgrd,aspgrd,elevgrd, 
1 soilgrd,dpthgrd,rockgrd,topogrd,outfile,skyfil1,skyfil2, 
2 sumfile 
character*120 header 
character*14 ascgrid1,ascgrid2,ascgrid3,ascgrid4, 
1 ascgrid5,ascgrid6 
c 
c 
c---- parameters 
c ---------- 
dr = 0.0174533 
rd = 57.29579 
c 
c---------------------------------------------------------------------72 
c---- start routine 
c----------------------------------------------------------------------- 
c 
5 format(A) 
open(unit=7,file=blockr7.ctl) 
read(7,5) header 
read(7,5) latgrd 
read(7,5) longgrd 
read(7,5) slopgrd 
read(7,5) aspgrd 
read(7,5) elevgrd 
read(7,5) soilgrd 
read(7,5) dpthgrd 
read(7,5) rockgrd 
read(7,5) topogrd 
read(7,5) outfile 
read(7,5) skyfil1 
read(7,5) skyfil2 
read(7,5) sumfile 
c 
c---- read in parameters used for blocking ridge angles 
read(7,*) nang 
do i = 1,nang 
read(7,*) iang,xang(iang),yang(iang) 
enddo 
c 
c---- open all files 
c -------------------------- 
open(unit=9,file=latgrd) 
open(unit=10,file=longgrd) 
open(unit=11,file=slopgrd) 
open(unit=12,file=aspgrd) 
open(unit=13,file=elevgrd) 
open(unit=14,file=soilgrd) 
open(unit=15,file=dpthgrd) 
open(unit=16,file=rockgrd) 
open(unit=17,file=topogrd) 
open(unit=18,file=outfile) 
open(unit=19,file=skyfil1) 
open(unit=20,file=sumfile) 
open(unit=21,file=skyfil2) 
c 
write(20,5) header 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 D-33 November 2004 
c 
c---- Begin input of standard ARCINFO ASCII matrix grid files 
c ------------------------------------------------------- 
77 format(a14,i12) 
66 format(a14,f14.4) 
c 
c---- read-in latitude input grid file 
c and set up header info for skyview ASCII grid matrix 
c ---------------------------------------------------- 
read(9,*) ascgrid1,cols 
read(9,*) ascgrid2,rows 
read(9,*) ascgrid3,xll 
read(9,*) ascgrid4,yll 
read(9,*) ascgrid5,cellsize 
read(9,*) ascgrid6,nodata2 
c 
write(*,25) 
write(20,25) 
25 format(//,LAT ASCII matrix grid file..........,/) 
write(*,77) ascgrid1,cols 
write(20,77) ascgrid1,cols 
write(21,77) ascgrid1,cols 
write(*,77) ascgrid2,rows 
write(20,77) ascgrid2,rows 
write(21,77) ascgrid2,rows 
write(*,66) ascgrid3,xll 
write(20,66) ascgrid3,xll 
write(21,66) ascgrid3,xll 
write(*,66) ascgrid4,yll 
write(20,66) ascgrid4,yll 
write(21,66) ascgrid4,yll 
write(*,66) ascgrid5,cellsize 
write(20,66) ascgrid5,cellsize 
write(21,66) ascgrid5, cellsize 
write(*,66) ascgrid6,nodata2 
write(20,66) ascgrid6,nodata2 
write(21,66) ascgrid6,nodata2 
c 
do i = 1,rows 
read(9,*) (lat(i,j), j=1,cols) 
enddo 
c 
c 
c---- read-in longitude input grid file 
c --------------------------------- 
read(10,*) ascgrid1,cols 
read(10,*) ascgrid2,rows 
read(10,*) ascgrid3,xll 
read(10,*) ascgrid4,yll 
read(10,*) ascgrid5,cellsize 
read(10,*) ascgrid6,nodata2 
c 
write(*,35) 
write(20,35) 
35 format(//,LONG ASCII matrix grid file..........,/) 
write(*,77) ascgrid1,cols 
write(20,77) ascgrid1,cols 
write(*,77) ascgrid2,rows 
write(20,77) ascgrid2,rows 
write(*,66) ascgrid3,xll 
write(20,66) ascgrid3,xll 
write(*,66) ascgrid4,yll 
write(20,66) ascgrid4,yll 
write(*,66) ascgrid5,cellsize 
write(20,66) ascgrid5,cellsize 
write(*,66) ascgrid6,nodata2 
write(20,66) ascgrid6,nodata2 
c 
do i = 1,rows 
read(10,*) (long(i,j), j=1,cols) 
enddo 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 D-34 November 2004 
c 
c 
c---- read-in slope input grid file 
c ----------------------------- 
read(11,*) ascgrid1,cols 
read(11,*) ascgrid2,rows 
read(11,*) ascgrid3,xll 
read(11,*) ascgrid4,yll 
read(11,*) ascgrid5,cellsize 
read(11,*) ascgrid6,nodata1 
c 
write(*,45) 
write(20,45) 
45 format(//,SLOPE ASCII matrix grid file..........,/) 
write(*,77) ascgrid1,cols 
write(20,77) ascgrid1,cols 
write(*,77) ascgrid2,rows 
write(20,77) ascgrid2,rows 
write(*,66) ascgrid3,xll 
write(20,66) ascgrid3,xll 
write(*,66) ascgrid4,yll 
write(20,66) ascgrid4,yll 
write(*,66) ascgrid5,cellsize 
write(20,66) ascgrid5,cellsize 
write(*,77) ascgrid6,nodata1 
write(20,77) ascgrid6,nodata1 
c 
do i = 1,rows 
read(11,*) (slope(i,j), j=1,cols) 
enddo 
c 
c 
c---- read-in aspect input grid file 
c ------------------------------ 
read(12,*) ascgrid1,cols 
read(12,*) ascgrid2,rows 
read(12,*) ascgrid3,xll 
read(12,*) ascgrid4,yll 
read(12,*) ascgrid5,cellsize 
read(12,*) ascgrid6,nodata1 
c 
write(*,55) 
write(20,55) 
55 format(//,ASPCT ASCII matrix grid file..........,/) 
write(*,77) ascgrid1,cols 
write(20,77) ascgrid1,cols 
write(*,77) ascgrid2,rows 
write(20,77) ascgrid2,rows 
write(*,66) ascgrid3,xll 
write(20,66) ascgrid3,xll 
write(*,66) ascgrid4,yll 
write(20,66) ascgrid4,yll 
write(*,66) ascgrid5,cellsize 
write(20,66) ascgrid5,cellsize 
write(*,77) ascgrid6,nodata1 
write(20,77) ascgrid6,nodata1 
c 
do i = 1,rows 
read(12,*) (aspct(i,j), j=1,cols) 
enddo 
c 
c 
c---- read-in elevation input grid file 
c --------------------------------- 
read(13,*) ascgrid1,cols 
read(13,*) ascgrid2,rows 
read(13,*) ascgrid3,xll 
read(13,*) ascgrid4,yll 
read(13,*) ascgrid5,cellsize 
read(13,*) ascgrid6,nodata1 
c 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 D-35 November 2004 
write(*,65) 
write(20,65) 
65 format(//,ELEV ASCII matrix grid file..........,/) 
write(*,77) ascgrid1,cols 
write(20,77) ascgrid1,cols 
write(*,77) ascgrid2,rows 
write(20,77) ascgrid2,rows 
write(*,66) ascgrid3,xll 
write(20,66) ascgrid3,xll 
write(*,66) ascgrid4,yll 
write(20,66) ascgrid4,yll 
write(*,66) ascgrid5,cellsize 
write(20,66) ascgrid5,cellsize 
write(*,77) ascgrid6,nodata1 
write(20,77) ascgrid6,nodata1 
c 
do i =1,rows 
read(13,*) (elev(i,j), j=1,cols) 
enddo 
c 
c 
c---- read-in soil type input grid file 
c --------------------------------- 
read(14,*) ascgrid1,cols 
read(14,*) ascgrid2,rows 
read(14,*) ascgrid3,xll 
read(14,*) ascgrid4,yll 
read(14,*) ascgrid5,cellsize 
read(14,*) ascgrid6,nodata2 
c 
write(*,75) 
write(20,75) 
75 format(//,SOIL ASCII matrix grid file..........,/) 
write(*,77) ascgrid1,cols 
write(20,77) ascgrid1,cols 
write(*,77) ascgrid2,rows 
write(20,77) ascgrid2,rows 
write(*,66) ascgrid3,xll 
write(20,66) ascgrid3,xll 
write(*,66) ascgrid4,yll 
write(20,66) ascgrid4,yll 
write(*,66) ascgrid5,cellsize 
write(20,66) ascgrid5,cellsize 
write(*,77) ascgrid6,nodata1 
write(20,77) ascgrid6,nodata1 
c 
do i = 1,rows 
read(14,*) (soil(i,j), j=1,cols) 
enddo 
c 
c 
c---- read-in soil depth class input grid file 
c ---------------------------------------- 
read(15,*) ascgrid1,cols 
read(15,*) ascgrid2,rows 
read(15,*) ascgrid3,xll 
read(15,*) ascgrid4,yll 
read(15,*) ascgrid5,cellsize 
read(15,*) ascgrid6,nodata1 
c 
write(*,85) 
write(20,85) 
85 format(//,DPTH ASCII matrix grid file..........,/) 
write(*,77) ascgrid1,cols 
write(20,77) ascgrid1,cols 
write(*,77) ascgrid2,rows 
write(20,77) ascgrid2,rows 
write(*,66) ascgrid3,xll 
write(20,66) ascgrid3,xll 
write(*,66) ascgrid4,yll 
write(20,66) ascgrid4,yll 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 D-36 November 2004 
write(*,66) ascgrid5,cellsize 
write(20,66) ascgrid5,cellsize 
write(*,77) ascgrid6,nodata1 
write(20,77) ascgrid6,nodata1 
c 
do i = 1,rows 
read(15,*) (dpth(i,j), j=1,cols) 
enddo 
c 
c 
c---- read-in rock type input grid file 
c --------------------------------- 
read(16,*) ascgrid1,cols 
read(16,*) ascgrid2,rows 
read(16,*) ascgrid3,xll 
read(16,*) ascgrid4,yll 
read(16,*) ascgrid5,cellsize 
read(16,*) ascgrid6,nodata1 
c 
write(*,95) 
write(20,95) 
95 format(//,ROCK ASCII matrix grid file..........,/) 
write(*,77) ascgrid1,cols 
write(20,77) ascgrid1,cols 
write(*,77) ascgrid2,rows 
write(20,77) ascgrid2,rows 
write(*,66) ascgrid3,xll 
write(20,66) ascgrid3,xll 
write(*,66) ascgrid4,yll 
write(20,66) ascgrid4,yll 
write(*,66) ascgrid5,cellsize 
write(20,66) ascgrid5,cellsize 
write(*,77) ascgrid6,nodata1 
write(20,77) ascgrid6,nodata1 
c 
do i = 1,rows 
read(16,*) (rock(i,j), j=1,cols) 
enddo 
c 
c 
c---- read-in topographic ID input grid file 
c -------------------------------------- 
read(17,*) ascgrid1,cols 
read(17,*) ascgrid2,rows 
read(17,*) ascgrid3,xll 
read(17,*) ascgrid4,yll 
read(17,*) ascgrid5,cellsize 
read(17,*) ascgrid6,nodata1 
c 
write(*,105) 
write(20,105) 
105 format(//,TOPOID ASCII matrix grid file..........,/) 
write(*,77) ascgrid1,cols 
write(20,77) ascgrid1,cols 
write(*,77) ascgrid2,rows 
write(20,77) ascgrid2,rows 
write(*,66) ascgrid3,xll 
write(20,66) ascgrid3,xll 
write(*,66) ascgrid4,yll 
write(20,66) ascgrid4,yll 
write(*,66) ascgrid5,cellsize 
write(20,66) ascgrid5,cellsize 
write(*,77) ascgrid6,nodata1 
write(20,77) ascgrid6,nodata1 
c 
do i = 1,rows 
read(17,*) (topo(i,j), j=1,cols) 
enddo 
c 
c 
totcell = rows * cols 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 D-37 November 2004 
write(*,115) 
115 format(///) 
c 
c---------------------------------------------------------------------72 
C SET UP THE INITIAL BLOCKING RIDGES AS ZEROS 
C START THE LOOP SEARCHING FOR THE BLOCKING ANGLES FOR EACH LOCATION 
c----------------------------------------------------------------------- 
c 
cnt=0 
DO 1000 ir = 1,rows 
DO 1300 ic = 1,cols 
c 
east(ir,ic) = xll + ((ic-1)*cellsize) 
north(ir,ic) = yll + ((rows-ir)*cellsize) 
sl2 = float(slope(ir,ic)) 
aspect = float(aspct(ir,ic)) 
c 
counter = counter + 1 
perdone = float(counter)/float(totcell)*100. 
if (ic.eq.cols) write (*,1005) counter,ir,perdone 
1005 format(i8,i8,f12.1) 
c 
do 1500 k = 1,36 
angle(k)=0. 
1500 continue 
initelev = elev(ir,ic) 
maxelev = elev(ir,ic) 
c 
c------------ search elevation input grid for highest point 
c for each 10 degree angle 
do 2000 k = 1,nang 
c k = ia 
x = ic 
y = ir 
maxelev = elev(ir,ic) 
do 3000 lp = 1,1000 
x = x + xang(k) 
if((x .gt.cols).or. 
1 (x.lt.1)) goto 2000 
y = y + yang(k) 
if((y.gt.rows).or. 
1 (y.lt.1)) goto 2000 
if(maxelev.lt.elev(y,x)) then 
maxelev = elev(y,x) 
dist = sqrt((ic-x)**2+(ir-y)**2)*cellsize 
endif 
if(dist.eq.0) dist = 1 
agl = atand((maxelev - initelev)/dist) 
if(agl.gt.angle(k)) angle(k) = agl 
c 
3000 continue 
2000 continue 
c 
c 
c------------ calculate the 36 blocking ridge angles for each grid cell 
c --------------------------------------------------------- 
c------------ 1st quadrant 
ANG(1)=(10)/(11.25-0) 
1 *(ANGLE(1)-ANGLE(32))+ANGLE(32) 
ANG(2)=(20-11.25)/(22.5-11.25) 
1 *(ANGLE(2)-ANGLE(1))+ANGLE(1) 
ANG(3)=(30-22.5)/(33.75-22.5) 
1 *(ANGLE(3)-ANGLE(2))+ANGLE(2) 
ANG(4)=(40-33.75)/(45-33.75) 
1 *(ANGLE(4)-ANGLE(3))+ANGLE(3) 
ANG(5)=(50-45)/(56.25-45) 
1 *(ANGLE(5)-ANGLE(4))+ANGLE(4) 
ANG(6)=(60-56.25)/(67.5-56.25) 
1 *(ANGLE(6)-ANGLE(5))+ANGLE(5) 
ANG(7)=(70-67.6)/(78.75-67.5) 
1 *(ANGLE(7)-ANGLE(6))+ANGLE(6) 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 D-38 November 2004 
ANG(8)=(80-78.75)/(78.75-67.5) 
1 *(ANGLE(8)-ANGLE(7))+ANGLE(7) 
ANG(9)=ANGLE(8) 
c 
c------------ 2nd quadrant 
ANG(10)=(80-78.75)/(78.75-67.5) 
1 *(ANGLE(9)-ANGLE(8))+ANGLE(8) 
ANG(11)=(70-67.6)/(78.75-67.5) 
1 *(ANGLE(10)-ANGLE(9))+ANGLE(9) 
ANG(12)=(60-56.25)/(67.5-56.25) 
1 *(ANGLE(11)-ANGLE(10))+ANGLE(10) 
ANG(13)=(50-45)/(56.25-45) 
1 *(ANGLE(12)-ANGLE(11))+ANGLE(11) 
ANG(14)=(40-33.75)/(45-33.75) 
1 *(ANGLE(13)-ANGLE(12))+ANGLE(12) 
ANG(15)=(30-22.5)/(33.75-22.5) 
1 *(ANGLE(14)-ANGLE(13))+ANGLE(13) 
ANG(16)=(20-11.25)/(22.5-11.25) 
1 *(ANGLE(15)-ANGLE(14))+ANGLE(14) 
ANG(17)=(10)/(11.25-0) 
1 *(ANGLE(16)-ANGLE(15))+ANGLE(15) 
ANG(18)=ANGLE(16) 
c 
c------------ 3rd quadrant 
ANG(19)=(10)/(11.25-0) 
1 *(ANGLE(17)-ANGLE(16))+ANGLE(16) 
ANG(20)=(20-11.25)/(22.5-11.25) 
1 *(ANGLE(18)-ANGLE(17))+ANGLE(17) 
ANG(21)=(30-22.5)/(33.75-22.5) 
1 *(ANGLE(19)-ANGLE(18))+ANGLE(18) 
ANG(22)=(40-33.75)/(45-33.75) 
1 *(ANGLE(20)-ANGLE(19))+ANGLE(19) 
ANG(23)=(50-45)/(56.25-45) 
1 *(ANGLE(21)-ANGLE(20))+ANGLE(20) 
ANG(24)=(60-56.25)/(67.5-56.25) 
1 *(ANGLE(22)-ANGLE(21))+ANGLE(21) 
ANG(25)=(70-67.6)/(78.75-67.5) 
1 *(ANGLE(23)-ANGLE(22))+ANGLE(22) 
ANG(26)=(80-78.75)/(78.75-67.5) 
1 *(ANGLE(24)-ANGLE(23))+ANGLE(23) 
ANG(27)=ANGLE(24) 
c 
c------------ 4rth quadrant 
ANG(28)=(80-78.75)/(78.75-67.5) 
1 *(ANGLE(25)-ANGLE(24))+ANGLE(24) 
ANG(29)=(70-67.6)/(78.75-67.5) 
1 *(ANGLE(26)-ANGLE(25))+ANGLE(25) 
ANG(30)=(60-56.25)/(67.5-56.25) 
1 *(ANGLE(27)-ANGLE(26))+ANGLE(26) 
ANG(31)=(50-45)/(56.25-45) 
1 *(ANGLE(28)-ANGLE(27))+ANGLE(27) 
ANG(32)=(40-33.75)/(45-33.75) 
1 *(ANGLE(29)-ANGLE(28))+ANGLE(28) 
ANG(33)=(30-22.5)/(33.75-22.5) 
1 *(ANGLE(30)-ANGLE(29))+ANGLE(29) 
ANG(34)=(20-11.25)/(22.5-11.25) 
1 *(ANGLE(31)-ANGLE(30))+ANGLE(30) 
ANG(35)=(10)/(11.25-0) 
1 *(ANGLE(32)-ANGLE(31))+ANGLE(31) 
ANG(36)=ANGLE(32) 
c 
c 
c------------ calculate viewfactor for validation 
c ----------------------------------- 
viewfactor(ic) = 0. 
do 4000 ii = 1,36 
ridge2(ii) = 90.-ang(ii) 
costheta = cos(sl2*dr)*cos(ridge2(ii)*dr) 
1 +sin(sl2*dr)*sin(ridge2(ii)*dr) 
2 *cos((ii*10.-aspect)*dr) 
c 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 D-39 November 2004 
theta = -atan(costheta / sqrt(-costheta ** 2. + 1.)) 
1 + 90. * dr 
theta = 90. - theta * rd 
viewf = 90. - theta 
if(viewf.ge.90.) viewf = 90. 
viewfactor(ic) = viewfactor(ic) + viewf 
4000 continue 
viewfactor(ic) = (viewfactor(ic)/(36.*90.))*100. 
ii = 0. 
c 
c 
c------------ set calculated angles to integer values 
c --------------------------------------- 
do 5000 cnt = 1,36 
ang2(cnt) = INT(ang(cnt)) 
5000 continue 
c 
c 
c------------ assemble all parameters and write to output file, 
c one line at a time 
c ------------------------------------------------- 
topo2 = 1 
write(18,5005) counter,east(ir,ic),north(ir,ic), 
1 lat(ir,ic),long(ir,ic),slope(ir,ic),aspct(ir,ic), 
2 elev(ir,ic),soil(ir,ic),dpth(ir,ic),rock(ir,ic), 
3 topo(ir,ic),(ang2(cnt),cnt=1,36) 
c 
5005 format(i7,f10.1,f11.1,2f9.4,2i5,i6,i3,i3,i4,i3,36i3) 
c 
c 
write(19,5105) east(ir,ic),north(ir,ic),viewfactor(ic) 
5105 format(f10.1,f11.1,f12.6) 
c 
1300 continue 
c 
c-------- write skyview results to ARCINFO ASCII grid file 
write(21,2305) (viewfactor(ic), ic=1,cols) 
2305 format(30000f9.2) 
c 
1000 continue 
c 
close(18) 
close(19) 
close(20) 
close(21) 
stop 
END 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 D-40 November 2004 
INTENTIONALLY LEFT BLANK
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 November 2004 
APPENDIX E 
INCLUSION OF UPDATED BEDROCK GEOLOGY USING GEOMAP7 V1.0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 November 2004 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 E-1 November 2004 
E1. NAME OF ROUTINE/MACRO WITH VERSION/OS/HARDWARE 
ENVIRONMENT AND USER INFORMATION 
Name of software routine: GEOMAP7 V1.0 
OS and hardware environment: Windows NT 4.0, Pentium Pro PC 
Computer Identification: SM321276 with a USGS specific host-name P720dcasr 
Software Users: Joseph Hevesi (916-278-3274), Alan Flint (916-278-3221) 
User Location: U.S. Geological Survey, Room 5000E, Placer Hall, 6000 J Street, Sacramento, 
CA 95819-6129 
E2. NAME OF COMMERCIAL SOFTWARE WITH VERSION/OS/HARDWARE 
USED TO DEVELOP ROUTINE/MACRO 
The source code for GEOMAP7 V1.0 was developed using the standard FORTRAN77 
programming language. The source code was written, debugged, and compiled (for PC 
platforms using INTEL processors) using DIGITAL Visual Fortran with Microsoft Developer 
Studio, V. 5.0. 
E3. GENERAL DESCRIPTION OF ROUTINE/MACRO 
GEOMAP7 V1.0 is a FORTRAN77 routine developed in accordance with AP-SI.1Q, 
specifically for the analysis/model activity documented in this report. The routine source code 
(GEOMAP7.FOR), compiled executable file (GEOMAP7.EXE), routine control file 
(GEOMAP7.CTL), input and output files, validation test files, and a copy of this appendix, are 
located under the directory GEOMAP7 on a CD-ROM labeled GEOINPUT-1. The routine 
source code, control file, and the input and output files are ASCII text files that can be read using 
any standard ASCII text editor and can be imported into standard word processing applications 
such as Microsoft Word. The executable file can be used to run GEOMAP7 V1.0 on any PC 
with an INTEL processor (with adequate RAM). 
All parameters calculated by GEOMAP7 V1.0 that are included in the developed output file, 
GEOMAP7.INP are used for the development of the geospatial parameter input file for INFIL 
V2.0 (USGS 2000 [DIRS 139422]). The file, GEOMAP7.INP is used directly as input to the 
routine SOILMAP6 V1.0 (Appendix G). 
E4. TEST PLAN FOR THE SOFTWARE ROUTINE GEOMAP7 V1.0 
 Explain whether this is a routine or macro and describe what it does: 
GEOMAP7 V1.0 is the second routine in a sequence of developed FORTRAN77 
routines that are used in the development of the geospatial parameter input files for 
INFIL V2.0. The primary function performed by the routine is the inclusion of the 
updated bedrock geology map for the central block area (source data obtained from 
Day et al. (1998 [DIRS 101557]), DTN: GS971208314221.003 [DIRS 107128] into 
the original geospatial parameter input file (30MSITE.INP) used as input 
for INFIL V1.0, the 1996 version of the net infiltration model (Flint et al. 1996 
[DIRS 100147]). The modified bedrock geology is defined by the rock-type 
identification number included in the output file, GEOMAP7.INP. The updated 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 E-2 November 2004 
bedrock geology map is provided as an ASCII text, column-formatted input file named 
NEWGEOL.DAT. Using standard ARCINFO applications, NEWGEOL.DAT is 
developed by rasterizing1 the available source data2 onto the grid geometry defined by 
30MSITE.INP and exporting the rasterized data as a column-formatted, xyz ASCII text 
file. To incorporate the updated bedrock geology, GEOMAP7 scans the input grid 
defined by the easting and northing coordinate locations in 30MSITE.INP 
(columns 2 and 3), matches the grid cells with the corresponding locations of 
NEWGEOL.DAT, and substitutes the existing rock-type identification number in 
column 11 of 30MSITE.INP with the updated rock-type identification number in 
NEWGEOL.DAT. To identify the new rock-type identification numbers as separate 
from the original rock-type identification numbers used in 30MSITE.INP, which are 
based on the geologic maps developed by Scott and Bonk (1984 [DIRS 104181]) 
(DTN: MO0003COV00095.000 [DIRS 146848]) and Sawyer et al. (1995 
[DIRS 104580]) (DTN: GS000300001221.010 [DIRS 147833]), GEOMAP7 adds 300 
to the initial integer values provided by NEWGEOL.DAT. 
A second function performed by the routine is a back-substitution of the original Scott 
and Bonk (1984 [DIRS 104181]) rock-type identification number (column 11 in 
30MSITE.INP) wherever there are locations with soil thickness less than 6 m as 
identified by the soil depth class number (column 10 in 30MSITE.INP), and which are 
associated with an updated rock-type identification number that corresponds to 
alluvium. The back-substitution is accomplished by excluding the updated rock-type 
numbers during the scanning of the input grid and is performed only if the original 
rock-type defined in 30MSITE.INP is associated with a consolidated rock-type. 
The input and output files used by GEOMAP7 are defined in the routine control file, 
GEOMAP7.CTL that is itself an input file for the routine. The input files defined in 
GEOMAP7.CTL consist of 30MSITE.INP, NEWGEOL.DAT, and the output file, 
GEOMAP7.INP. Two additional lines following the filenames are a lower and upper 
bound easting coordinate (5th line in file, two input values) and a lower and upper 
bound northing coordinate (6th line in file, two input values). These parameters are 
used only to limit the search area scanned by GEOMAP7 to a rectangular area 
centered over and fully containing all grid cells in NEWGEOL.DAT associated with 
rock-type identification numbers from Day et al. (1998 [DIRS 101557]). The purpose 
of this function is only to decrease routine run-time, and is not associated with 
functions used in the development of the output file. 
1 Rasterization refers to a standard ARCINFO operation of transferring spatial data defined by points, vector lines, 
and polygons onto the grid-cell areas of a raster grid matrix defined by a fixed square cell dimension, the location 
coordinates of the lower left grid cell included in the matrix, and the number of rows and columns defining the 
matrix. 
2 The source data consists of an ARCINFO vector-based map coverage (*.e00 file and associated metadata) 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 E-3 November 2004 
 Listing of FORTRAN77 Source code: 
A listing of the FORTRAN77 source code for the routine GEOMAP7 V1.0 along with 
examples of the input and output files used in the test plan are included at the end of 
this appendix. 
 Description of test(s): 
A validation test of the functions performed by the routine was conducted by a visual 
comparison between the input files (30MSITE.INP and NEWGEOL.DAT) and the 
output file (GEOMAP7.INP). The test plan for the primary function performed by 
GEOMAP7 consists of a visual verification that the rock-type identification numbers 
defining the updated geology (and provided as input by NEWGEOL.DAT) are 
associated with the correct grid cell locations defined by the new geospatial parameter 
input file (GEOMAP7.INP). The test plan involves a visual verification that a value 
of 300 has been added to the updated rock-type identification numbers. The test plan 
for the additional function performed by GEOMAP7 (exclusion of the updated rocktype 
based on a comparison against the soil depth map and the updated geology) 
consists of a visual verification that the rock-type identification numbers defining the 
original geology (column 11 in 30MSITE.INP) are associated with the correct grid cell 
locations based on a comparison against both the soil depth map and the updated 
geology map. The comparison of input and output grid cell values was facilitated 
using the raster-based grid and map-imaging utilities available in the acquired software 
program TRANSFORM. The raster-based grid and map-imaging utilities allow for an 
analysis of the entire raster grid and also a detailed evaluation of grid cell values for 
specified grid locations. The criteria applied during this phase of the routine test plan 
was an indication by the map images generated in TRANSFORM that: 1) a value 
of 300 had been correctly added to the updated geology, 2) that modifications to the 
rock-type parameter had been performed to the correct grid cell locations, and 3) that 
the bedrock geology defined by Day et al. (1998 [DIRS 101557]) had been correctly 
represented by the modified rock-type parameter. 
Additional routine validation tests were performed by extracting and comparing 
identical subsets (in terms of grid cell locations) from the raster images created in 
TRANSFORM and by importing identical subsets (based on grid cell locations) of the 
input file, 30MSITE.INP and the output file, GEOMAP7.INP into an EXCEL 
worksheet file. This method of testing provided an additional check that the functions 
performed by GEOMAP7 were operating correctly. The EXCEL worksheet file 
(GEOMAP7.XLS) was used to perform an inspection of the entire set of geospatial 
parameters for a selected subset of grid locations. The criteria applied in this method 
of validation consisted of verifying within the spreadsheet that the intended 
modification of the geospatial input file had been correctly performed, and that no 
unintended modifications had occurred during program execution, either to the 
parameters being modified (in this case, the rock-type identification number) or to any 
of the other parameters not requiring modification during this stage of the 
development of the geospatial parameter input files for INFIL V2.0. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 E-4 November 2004 
 Specify the range of input values to be used and why the range is valid: 
Two column-formatted ASCII-text files, NEWGEOL.DAT and 30MSITE.INP, are used 
as input by GEOMAP7 V1.0. Both files consist of a series of rows (one row per grid 
cell location), two columns defining grid cell locations (NAD27 UTM, zone 11 
coordinates, in meters), and additional columns containing the geospatial input 
parameters associated with each grid cell. The two input files are specified in the 
routine control file, GEOMAP7.CTL, which is the third input file needed for the 
execution of GEOMAP7 V1.0. The range of input values specified in the listing 
below is valid because these values were obtained from ARCINFO using the source 
data as input and the functions performed by the routine BLOCKR7 V1.0 (see 
Appendix D for description of source data used for 30MSITE.INP). The input 
parameters are identical to the geospatial input parameters used for INFIL V1.0 
(Flint et al. 1996 [DIRS 100147]). 
1. NEWGEOL.DAT: Column-formatted ASCII text file consisting of 4 columns 
and 57,038 rows. This file is exported from ARCINFO using the Day et al. 
(1998 [DIRS 101557]) (DTN: GS971208314221.003 [DIRS 107128]) 
geology map and the merged digital elevation model 
(DTN: GS000308311221.006) as input. The first column defines the grid cell 
location number, the next two columns define the UTM easting and northing 
coordinates (in meters) for each grid cell location, and the fourth column 
defines the updated rock-type identification number from Day et al. (1998 
[DIRS 101557]) consisting of values ranging from 1 to 45, and a no-data flag 
of -99. 
2. 30MSITE.INP: Column-formatted ASCII text file consisting of 48 columns 
and 253,597 rows. This file is developed as the output from BLOCKR7. The 
rock-type identification numbers are located in column 11 and consist of 
integer values ranging from 1 to 214. The rock-type identification numbers 
were used as input for INFIL V1.0 (Flint et al. 1996 [DIRS 100147]) and are 
based on the Scott and Bonk (1984 [DIRS 104181]) 
(DTN: MO0003COV00095.000 [DIRS 146848]) and the Sawyer et al. (1995 
[DIRS 104580]) (DTN: GS000300001221.010 [DIRS 147833]) geology 
maps. A more complete description of the parameters included in this file, 
along with input and output ranges, is provided in Appendix D. 
E5. TEST RESULTS 
 Output from test: 
The output for the test case is the main output file, GEOMAP7.INP generated by 
GEOMAP7 V1.0. Additional files developed as part of the testing procedure include 
four TRANSFORM map image files (NEWGEOL.HDF, 30MGEOL.HDF, 
30MDPTH.HDF, and GEOMAP7.HDF) that are used to inspect the modified 
parameters between the input and output files and an EXCEL worksheet 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 E-5 November 2004 
(GEOMAP7.XLS) used to perform additional inspections of parameter modifications 
for a selected subset of grid cell locations. 
Description of how the testing shows that the results are correct for the specified 
input: 
The map images developed using TRANSFORM (Figures G-1 through G-3) indicate 
by visual inspection that the integer values defining the updated bedrock geology from 
Day et al. (1998 [DIRS 101557]) have been correctly incorporated into the output file, 
GEOMAP7.INP that is created by GEOMAP7. For example, it is verified by visual 
inspection that the original rock-type identification parameters (Figure E-2), which 
range from 1 to 214, have been correctly modified to include the updated rock-types 
(Figure E-1), which consist of integer values ranging from 1 to 45, because the 
rock-type identification numbers of the output file show the correct composite spatial 
positioning of the three separate geologic maps and the new rock-type identification 
numbers range from 301 to 345 (Figure E-3). Visual inspection of the map images 
indicates that the integer values represented by Figure E-1 have been correctly 
overlain onto the original rock-type integer values shown in Figure E-2 and increased 
by a value of 300 to produce the final set of rock-type identification numbers 
represented by Figure E-3. The test criteria of the correct placement of updated 
rock-type identification numbers and the correct separation of the updated integer 
values from the original rock-type identification numbers by adding 300 to the integer 
values provided by NEWGEOL.DAT is satisfied based on the visual comparison of the 
map images. 
Verification that the correct back-substitution of the original rock-type identification 
numbers for Scott and Bonk (1984 [DIRS 104181]) geology for locations where a soil 
depth of less than 6 m (soil depth classes less than 4) coincided with mapped alluvium 
from Day et al. (1998 [DIRS 101557]) is provided by a comparison of Figures G-4 
(indicating the original rock-type identification numbers defined using Scott and Bonk 
(1984 [DIRS 104181]) and G-5 (indicating the new rock-type identification numbers 
defined using Day et al. (1998 [DIRS 101557]) with Figure E-4 (the new rock-type 
identification numbers) and Figure E-6 (the soil depth class map). The locations where 
the Scott and Bonk (1984 [DIRS 104181]) rock-types were retained coincide with the 
locations of upper washes and lower sideslopes where mapping bedrock geology is 
less certain because of increasing soil thickness, and this is the intended result. 
Additional validation that the test criteria are satisfied for the two functions performed 
by GEOMAP7 is provided by Tables G-1 through G-6. Tables G-1 through G-4 were 
created by selecting in TRANSFORM a subset of the raster matrix grid defined by 
30MSITE.INP from the map images of the Day et al. (1998 [DIRS 101557]) geology 
map (NEWGEOL.HDF) for Table E-1, the soil depth class map (30MDPTH.HDF) for 
Table E-2, the original rock-type identification numbers in 30MSITE.INP 
(30MGEOL.HDF) for Table E-3, and the new rock-types identification numbers 
created by GEOMAP7 (GEOMAP7.HDF) for Table E-4. A comparison of the four 
tables indicates that the new rock-type numbers were correctly substituted and 
increased by 300 (validation of test criteria for the first function) and that the original 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 E-6 November 2004 
consolidated rock-type number 20 from Scott and Bonk (1984 [DIRS 104181]) was 
retained for three grid locations were the updated rock-types of 301 and 302 indicated 
unconsolidated rock-types for a location having only 0 to 0.5 m of soil cover (which is 
inconsistent). For satisfying the test criteria that no modifications were made to 
parameters other than rock-type, identical sections of the files, 30MSITE.INP and 
GEOMAP7.INP were extracted into an EXCEL worksheet (GEOMAP7.XLS). Table 
E-5 shows the input parameters obtained from 30MSITE.INP (with the exception of 
the 36 blocking ridge parameters) and Table E-6 shows that the only parameter 
modified in the output file, GEOMAP7 is the rock-type identification. 
 List limitations or assumptions to this test case and code in general: 
The limitations of the developed test case are based on the practical limitations of 
verifying modified parameter values for all 253,597 grid cells included in the output 
file used for the developed test case. Validation of the entire output file used in the 
test case was performed as a visual evaluation of a map image produced in 
TRANSFORM. Only a subset of the entire output file could be used for more detailed 
validation tests that were performed in an EXCEL worksheet. 
 Electronic files identified by name and location: 
Electronic files are located on CD-ROM labeled GEOINPUT-1, under the 
directory GEOMAP7, included as an Appendix to the report. The following 
electronic files are provided: 
GEOMAP7.CTL: Input file consisting of the input and output file names for 
GEOMAP7 V1.0, along with 4 UTM coordinate parameters that 
are used to define a rectangular area centered over and containing 
the updated central block bedrock geology map from Day et al. 
(1998 [DIRS 101557]). 
GEOMAP7.FOR: FORTRAN source code listing for the routine GEOMAP7 V1.0. 
A printout of the source code is included as part of this appendix. 
GEOMAP7.EXE: Executable file for the routine GEOMAP7 V1.0, compiled for 
INTEL processors. 
NEWGEOL.DAT: Input file consisting of a column-formatted, ASCII text file with 
four columns and 57,038 rows. This file was developed in 
ARCINFO by a rasterization of the Day et al. (1998 
[DIRS 101557]) map coverage, (DTN: GS971208314221.003 
[DIRS 107128]) which is an ARCINFO vector-based file (*.e00 
file), onto the raster-grid defined by the merged digital elevation 
model (DTN: GS000308311221.006). The rasterized map was 
exported from ARCINFO as a column-formatted, ASCII text file. 
A partial printout of the first part of this file is included as part of 
this appendix. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 E-7 November 2004 
30MSITE.INP: Input file consisting of a column-formatted, ASCII text file with 
48 columns and 253,597 rows. Each row corresponds to a grid cell 
location for the geospatial parameter base grid (the UTM location 
coordinates are defined by columns 2 and 3). This file is 
developed as output from BLOCKR7 V1.0 (see Appendix D of 
this report for more details). A partial printout of the first part of 
this file is included as part of this appendix. 
GEOMAP7.INP: Output file consisting of a column-formatted, ASCII text file with 
48 columns and 253,597 rows. Each row corresponds to a grid cell 
location for the geospatial parameter base grid (the UTM location 
coordinates are defined by columns 2 and 3). Column 11 of this 
file includes the updated rock-type identification numbers as a 
result of the functions performed by the routine GEOMAP7 V1.0. 
A partial printout of the first part of this file is included as part of 
this appendix. 
GEOMAP7.XLS: EXCEL worksheet used to perform the software routine validation 
test, provided only as supporting information for the validation 
test. This file is not a part of the routine application. 
GEOMAP7.HDF: TRANSFORM raster-based map image of the updated rock-type 
identification numbers (created using column 11 in 
GEOMAP7.INP) used to perform the software routine validation 
test, provided only as supporting information for the validation 
test. This file is not a part of the routine application. 
30MGEOL.HDF: TRANSFORM raster-based map image of the original rock-type 
identification numbers (created using column 11 in 30MSITE.INP) 
used to perform the software routine validation test, provided only 
as supporting information for the validation test. This file is not a 
part of the routine application. 
NEWGEOL.HDF: TRANSFORM raster-based map image of the rasterized central 
block bedrock geology map from Day et al. (1998 [DIRS 101557]) 
(created using column 4 in NEWGEOL.DAT) used to perform the 
software routine validation test, provided only as supporting 
information for the validation test. This file is not a part of the 
routine application. 
30MDPTH.HDF: TRANSFORM raster-based map image of the soil depth class 
number (created using column 10 in 30MSITE.INP) used to 
perform the software routine validation test, provided only as 
supporting information for the validation test. This file is not a 
part of the routine application. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 E-8 November 2004 
E6. SUPPORTING INFORMATION. (INCLUDE BACKGROUND INFORMATION, 
SUCH AS REVISION TO A PREVIOUS ROUTINE OR MACRO, OR 
EXPLANATION OF THE STEPS PERFORMED TO RUN THE SOFTWARE. 
INCLUDE LISTINGS OF ALL ELECTRONIC FILES AND CODES USED). 
 Procedure for running routine: 
To run the routine GEOMAP7 V1.0, an executable version of the code, the input files, 
NEWGEOL.DAT and 30MSITE.INP, and the routine control file, GEOMAP7.CTL 
must be placed in the same directory. The routine is executed by typing GEOMAP7 in 
a DOS window, or by double clicking on the file, GEOMAP7.EXE in the Microsoft 
Windows operating system. The input and output file names and the parameters used 
for the blocking ridge calculations must be in the correct sequential order as specified 
in the routine control file, GEOMAP7.CTL (see example listing in this section). 
 Example listing of routine control file, GEOMAP7.CTL 
geomap7.ctl Routine GEOMAP7 to incorporate new bedrock geology map (Day and 
others, 1998) 
newgeol.dat 
30msite.inp 
geomap7.inp 
545357 551200 
4075111 4083269 
 Example listing of 30MSITE.INP. This is the main input file used by 
GEOMAP7 V1.0 (only the first 20 lines of the file are listed) 
1 544661. 4087833. 36.9373 116.4985 21 238 1739 5 1 201 4 0 0 
0 0 0 0 0 2 25 25 25 24 23 21 19 16 11 11 1 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
2 544691. 4087833. 36.9373 116.4981 25 259 1750 5 1 201 4 0 0 
0 0 0 0 0 3 29 28 27 26 25 22 19 17 11 11 1 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
3 544721. 4087833. 36.9373 116.4978 26 269 1767 5 1 201 4 0 0 
0 0 0 0 0 2 25 25 26 26 24 20 18 17 10 10 1 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
4 544751. 4087833. 36.9373 116.4975 24 277 1781 5 1 201 4 0 0 
0 0 0 0 0 2 25 25 26 26 25 22 18 16 9 9 2 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
5 544781. 4087833. 36.9373 116.4971 25 284 1794 5 1 201 4 0 0 
0 0 0 0 0 2 26 26 27 26 25 23 21 17 11 11 2 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
6 544811. 4087833. 36.9373 116.4968 28 286 1807 5 1 201 4 0 0 
0 0 0 0 0 3 29 28 24 25 24 23 20 17 14 14 2 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
7 544841. 4087833. 36.9373 116.4965 28 284 1824 5 1 201 4 0 0 
0 0 0 0 0 2 25 23 15 16 15 17 15 13 11 11 1 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
8 544871. 4087833. 36.9373 116.4961 24 277 1838 5 1 201 4 0 0 
0 0 0 0 0 2 23 20 2 5 6 6 6 5 8 9 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
9 544901. 4087833. 36.9373 116.4958 16 241 1851 5 1 201 4 0 0 
0 0 0 0 0 0 5 4 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 E-9 November 2004 
10 544931. 4087833. 36.9373 116.4955 13 169 1854 5 1 202 4 0 0 
0 0 0 0 0 0 5 4 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
11 544961. 4087833. 36.9373 116.4951 21 127 1846 5 1 202 4 0 0 
0 0 0 0 0 0 5 4 0 0 0 0 0 0 0 0 2 1 0 1 1 1 2 1 14 12 
0 0 0 0 0 0 0 0 
12 544991. 4087833. 36.9373 116.4948 20 128 1836 5 1 202 4 0 0 
0 0 0 0 0 0 8 7 1 1 0 0 0 0 0 0 2 4 4 4 4 7 9 9 18 15 
0 0 0 0 0 0 0 0 
13 545021. 4087833. 36.9373 116.4944 16 166 1829 5 1 202 4 0 0 
0 0 0 0 0 1 14 13 8 3 1 0 0 0 0 0 2 5 6 6 6 7 8 11 15 13 
0 0 0 0 0 0 0 0 
14 545051. 4087833. 36.9373 116.4941 19 220 1833 5 1 202 4 0 0 
0 0 0 0 0 2 18 16 8 6 2 1 0 0 0 0 0 3 4 4 3 3 3 3 9 7 
0 0 0 0 0 0 0 0 
15 545081. 4087833. 36.9373 116.4938 22 232 1843 5 1 201 4 0 0 
0 0 0 0 0 1 16 14 3 2 0 0 0 0 0 0 0 0 1 2 1 1 1 1 4 3 
0 0 0 0 0 0 0 0 
16 545111. 4087833. 36.9373 116.4934 20 224 1852 5 1 201 4 0 0 
0 0 0 0 0 1 11 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
17 545141. 4087833. 36.9373 116.4931 20 204 1858 5 1 201 4 0 0 
0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
18 545171. 4087833. 36.9373 116.4928 21 188 1861 5 1 201 4 0 0 
0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
19 545201. 4087833. 36.9373 116.4924 23 178 1862 5 1 201 4 0 0 
0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
20 545231. 4087833. 36.9373 116.4921 23 162 1861 5 1 201 4 0 0 
0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 
0 0 0 0 0 0 0 0 
 Example listing of NEWGEOL.DAT. This is the ASCII text file exported from 
ARCINFO and developed as a rasterization of the vector-based bedrock 
geology map from Day et al. (1998 [DIRS 101557]). The first column is the 
grid cell location number, columns 2 and 3 are the NAD27 UTM zone 11 
coordinates (in meters), and column 4 is the integer code associated with the 
Day et al. (1998 [DIRS 101557]) (DTN: GS971208314221.003 [DIRS 107128]) 
central block geology map (values range from 1 to 45, with a no-data flag of 
-99). 
56812 549971. 4082283. 2 
56813 550001. 4082283. 1 
56814 550031. 4082283. 1 
56815 550061. 4082283. 1 
56816 550091. 4082283. 1 
56817 550121. 4082283. 1 
56818 550151. 4082283. 1 
56819 550181. 4082283. 1 
56820 550211. 4082283. 1 
56821 550241. 4082283. 1 
56822 550991. 4082283. 2 
56823 551021. 4082283. 2 
56824 551051. 4082283. -99 
56825 551081. 4082283. -99 
56826 551111. 4082283. -99 
56827 551141. 4082283. -99 
56828 551171. 4082283. -99 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 E-10 November 2004 
56955 545381. 4082253. -99 
56956 545411. 4082253. -99 
56957 545441. 4082253. -99 
56958 545471. 4082253. -99 
56959 545501. 4082253. -99 
56960 545531. 4082253. -99 
56961 545561. 4082253. -99 
56962 545591. 4082253. -99 
56963 545621. 4082253. -99 
56964 545651. 4082253. -99 
56965 545681. 4082253. -99 
56966 545711. 4082253. -99 
56967 545741. 4082253. -99 
56968 545771. 4082253. -99 
56969 545801. 4082253. -99 
56970 545831. 4082253. -99 
56971 545861. 4082253. -99 
56972 545891. 4082253. -99 
56973 545921. 4082253. -99 
56974 545951. 4082253. -99 
56975 545981. 4082253. -99 
56976 546011. 4082253. -99 
56977 546041. 4082253. -99 
56978 546071. 4082253. -99 
56979 546101. 4082253. -99 
56980 546131. 4082253. -99 
56981 546161. 4082253. -99 
56982 546191. 4082253. -99 
56983 546221. 4082253. -99 
56984 546251. 4082253. -99 
56985 546281. 4082253. -99 
56986 546311. 4082253. -99 
56987 546341. 4082253. -99 
56988 546371. 4082253. -99 
56989 546401. 4082253. -99 
56990 546431. 4082253. 12 
56991 546461. 4082253. 12 
56992 546491. 4082253. 12 
56993 546521. 4082253. 12 
56994 546551. 4082253. 12 
56995 546581. 4082253. 13 
56996 546611. 4082253. 13 
56997 546641. 4082253. 14 
56998 546671. 4082253. 19 
56999 546701. 4082253. 19 
57000 546731. 4082253. 20 
57001 546761. 4082253. 21 
57002 546791. 4082253. 21 
57003 546821. 4082253. 24 
57004 546851. 4082253. 23 
57005 546881. 4082253. 22 
57006 546911. 4082253. 21 
57007 546941. 4082253. 21 
57008 546971. 4082253. 21 
57009 547001. 4082253. 20 
57010 547031. 4082253. 20 
57011 547061. 4082253. 19 
57012 547091. 4082253. 20 
57013 547121. 4082253. 20 
57014 547151. 4082253. 20 
57015 547181. 4082253. 2 
57016 547211. 4082253. 2 
57017 547241. 4082253. 20 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 E-11 November 2004 
57018 547271. 4082253. 19 
57019 547301. 4082253. 20 
57020 547331. 4082253. 21 
57021 547361. 4082253. 21 
57022 547391. 4082253. 23 
57023 547421. 4082253. 24 
57024 547451. 4082253. 24 
57025 547481. 4082253. 1 
57026 547511. 4082253. 1 
57027 547541. 4082253. 1 
57028 547571. 4082253. 24 
57029 547601. 4082253. 22 
57030 547631. 4082253. 21 
57031 547661. 4082253. 19 
57032 547691. 4082253. 14 
57033 547721. 4082253. 12 
57034 547751. 4082253. 12 
57035 547781. 4082253. 12 
57036 547811. 4082253. 12 
57037 547841. 4082253. 12 
57038 547871. 4082253. 12 
57039 547901. 4082253. 12 
57040 547931. 4082253. 12 
57041 547961. 4082253. 13 
57042 547991. 4082253. 13 
57043 548021. 4082253. 12 
57044 548051. 4082253. 12 
57045 548081. 4082253. 12 
57046 548111. 4082253. 12 
57047 548141. 4082253. 12 
 Example listing of GEOMAP7.INP (only the first 20 lines are included in the 
printout). This is the output file generated by GEOMAP7 V1.0 and supplied 
as input to the routine GEOMOD4 V1.0 (Appendix F). 
1 544661. 4087833. 36.9373 116.4985 21 238 1739 5 1 201 4 0 0 
0 0 0 0 0 2 25 25 25 24 23 21 19 16 11 11 1 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
2 544691. 4087833. 36.9373 116.4981 25 259 1750 5 1 201 4 0 0 
0 0 0 0 0 3 29 28 27 26 25 22 19 17 11 11 1 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
3 544721. 4087833. 36.9373 116.4978 26 269 1767 5 1 201 4 0 0 
0 0 0 0 0 2 25 25 26 26 24 20 18 17 10 10 1 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
4 544751. 4087833. 36.9373 116.4975 24 277 1781 5 1 201 4 0 0 
0 0 0 0 0 2 25 25 26 26 25 22 18 16 9 9 2 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
5 544781. 4087833. 36.9373 116.4971 25 284 1794 5 1 201 4 0 0 
0 0 0 0 0 2 26 26 27 26 25 23 21 17 11 11 2 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
6 544811. 4087833. 36.9373 116.4968 28 286 1807 5 1 201 4 0 0 
0 0 0 0 0 3 29 28 24 25 24 23 20 17 14 14 2 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
7 544841. 4087833. 36.9373 116.4965 28 284 1824 5 1 201 4 0 0 
0 0 0 0 0 2 25 23 15 16 15 17 15 13 11 11 1 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
8 544871. 4087833. 36.9373 116.4961 24 277 1838 5 1 201 4 0 0 
0 0 0 0 0 2 23 20 2 5 6 6 6 5 8 9 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
9 544901. 4087833. 36.9373 116.4958 16 241 1851 5 1 201 4 0 0 
0 0 0 0 0 0 5 4 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 E-12 November 2004 
10 544931. 4087833. 36.9373 116.4955 13 169 1854 5 1 202 4 0 0 
0 0 0 0 0 0 5 4 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
11 544961. 4087833. 36.9373 116.4951 21 127 1846 5 1 202 4 0 0 
0 0 0 0 0 0 5 4 0 0 0 0 0 0 0 0 2 1 0 1 1 1 2 1 14 12 
0 0 0 0 0 0 0 0 
12 544991. 4087833. 36.9373 116.4948 20 128 1836 5 1 202 4 0 0 
0 0 0 0 0 0 8 7 1 1 0 0 0 0 0 0 2 4 4 4 4 7 9 9 18 15 
0 0 0 0 0 0 0 0 
13 545021. 4087833. 36.9373 116.4944 16 166 1829 5 1 202 4 0 0 
0 0 0 0 0 1 14 13 8 3 1 0 0 0 0 0 2 5 6 6 6 7 8 11 15 13 
0 0 0 0 0 0 0 0 
14 545051. 4087833. 36.9373 116.4941 19 220 1833 5 1 202 4 0 0 
0 0 0 0 0 2 18 16 8 6 2 1 0 0 0 0 0 3 4 4 3 3 3 3 9 7 
0 0 0 0 0 0 0 0 
15 545081. 4087833. 36.9373 116.4938 22 232 1843 5 1 201 4 0 0 
0 0 0 0 0 1 16 14 3 2 0 0 0 0 0 0 0 0 1 2 1 1 1 1 4 3 
0 0 0 0 0 0 0 0 
16 545111. 4087833. 36.9373 116.4934 20 224 1852 5 1 201 4 0 0 
0 0 0 0 0 1 11 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
17 545141. 4087833. 36.9373 116.4931 20 204 1858 5 1 201 4 0 0 
0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
18 545171. 4087833. 36.9373 116.4928 21 188 1861 5 1 201 4 0 0 
0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
19 545201. 4087833. 36.9373 116.4924 23 178 1862 5 1 201 4 0 0 
0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
20 545231. 4087833. 36.9373 116.4921 23 162 1861 5 1 201 4 0 0 
0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 
0 0 0 0 0 0 0 0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 E-13 November 2004 
 Figures used as part of the routine test plan: 
546000 547667 549333 551000 
4082500 
4081250 
4080000 
4078750 
4077500 
4076250 
UTM easting, in meters 
UTM northing, in meters 
1 6 12 17 23 28 33 39 44 
Newgeol_dat_4: rock-type ID number 
Source: Day et al. (1998 [DIRS 101557]); DTN: GS971208314221.003 [DIRS 107128]. 
NOTE: The image (file NEWGEOL.HDF) was developed using column 4 of the file, NEWGEOL.DAT provided as 
input for GEOMAP7 V1.0. Black indicates grid locations with no data (identified by values of 99). 
Figure E-1. TRANSFORM Map Image of the Rasterized Central Block Geology Map Form 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 E-14 November 2004 
546000 550000 554000 
4087500 
4085000 
4082500 
4080000 
4077500 
4075000 
4072500 
4070000 
4067500 
UTM easting (meters) 
UTM northing (meters) 
25 50 75 100 125 150 175 200 
_30msite_inp_11: bedrock identifier 
Source: Flint et al. 1996 [DIRS 100147]. 
NOTE: The map image (file 30MSITE.HDF) was developed using column 11 of the file, 30MSITE.INP that was 
provided as input to GEOMAP7 V1.0. 
Figure E-2. TRANSFORM Map Image of the Rock-type Identification Numbers Representing the 
Original Bedrock Geology Input for INFIL V1.0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 E-15 November 2004 
546000 550000 554000 
4087500 
4085000 
4082500 
4080000 
4077500 
4075000 
4072500 
4070000 
4067500 
UTM easting (meters) 
UTM northing (meters) 
50 100 150 200 250 300 
Geomap7_inp: Bedrock identifier 
Output DTN: GS000308311221.004. 
NOTE: The map image (GEOMAP7.HDF) was developed using column 11 of the file, GEOMAP7.INP generated as 
output from GEOMAP7 V1.0. 
Figure E-3. TRANSFORM Map Image of the Updated Rock-type Identification Numbers Created by 
GEOMAP7 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 E-16 November 2004 
546000 547667 549333 551000 
4082500 
4081250 
4080000 
4078750 
4077500 
4076250 
4075000 
UTM easting (meters) 
UTM northing (meters) 
13 25 38 50 63 
Geomap7_inp_11_rock-type number 
Source: Scott and Bonk (1984 [DIRS 104181]); DTN: MO0003COV00095.000 [DIRS 146848]. 
NOTE: The map image (file GEOMAP7B.HDF) was developed using column 11 from file, GEOMAP7.INP and is 
used to indicate grid cells where the original rock-type numbers from the Scott and Bonk (1984 
[DIRS 104181]) geology map were left in place. 
Figure E-4. TRANSFORM Map Image of the Updated Rock-type Identification Numbers Created by 
GEOMAP7 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 E-17 November 2004 
546000 547667 549333 551000 
4082500 
4081250 
4080000 
4078750 
4077500 
4076250 
4075000 
UTM easting (meters) 
UTM northing (meters) 
300 310 320 330 340 
Geomap7_inp_11_rock-type number 
Source: Day et al. (1988 [DIRS 101557]). 
Output DTN: GS000308311221.004. 
NOTE: The map image (file GEOMAP7C.HDF) was developed using column 11 from file, GEOMAP7.INP and is 
used to indicate grid cells where the updated rock-type numbers from the Day et al. (1998 [DIRS 101557]) 
geology map were exchanged for the original rock-type numbers of the input file, 30MSITE.INP. 
Figure E-5. TRANSFORM Map Image of the Updated Rock-type Identification Numbers Created by 
GEOMAP7 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 E-18 November 2004 
546000 550000 554000 
4087500 
4085000 
4082500 
4080000 
4077500 
4075000 
4072500 
4070000 
4067500 
UTM easting, in meters 
UTM northing, in meters 
1.0 2.0 3.0 4.0 
_30msite_inp_10: soil depth class 
Output DTN: GS000308311221.004. 
Figure E-6. TRANSFORM Map Image (file 30MDEPTH.HDF) of Soil Depth Class (integer values from 
1 to 4) for the Area of the Yucca Mountain Model Domain, Generated Using Column 10 of 
the File, 30MSITE.INP and Used as Input for GEOMAP7 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 E-19 November 2004 
 Tables used as part of the routine test plan: 
Table E-1. Subset of Raster Grid Matrix from the File, NEWGEOL.DAT that is Provided as Input to 
GEOMAP7 V1.0 
UTM Easting Grid Coordinates (Meters) UTM Northing Grid 
Coordinates 
(Meters) 547991 548021 548051 
4076523 18 16 16 
4076493 18 18 18 
4076463 18 18 18 
4076433 18 18 18 
4076403 2 1 1 
4076373 2 2 2 
Source: Day et al. (1988 [DIRS 101557]). 
Output DTN: GS000308311221.004. 
NOTE: The rock-type identification numbers correspond to the geologic codes 
provided by Day et al. (1998 [DIRS 101557]) for the central block 
geology of Yucca Mountain. Rock-type values of 1 and 2 in 
NEWGEOL.DAT indicate unconsolidated rocks (alluvium and 
colluvium) 
UTM=Universal Transverse Mercator 
Table E-2. Subset of Raster Grid Matrix for Soil Depth Class from the File, 30MSITE.INP (Identical To 
The Grid Cell Locations Used In Table E-1) that is Provided as Input to GEOMAP7 V1.0 
UTM Easting Grid Coordinates (Meters) UTM Northing Grid 
Coordinates 
(Meters) 547991 548021 548051 
4076523 1 1 1 
4076493 1 1 1 
4076463 1 1 1 
4076433 1 1 1 
4076403 1 1 1 
4076373 1 1 1 
Source: Scott and Bonk (1984 [DIRS 104181]); DTN: MO0003COV00095.000 
[DIRS 146848]). 
NOTE: Soil depth class values are provided in column 10 of 30MSITE.INP, and 
were used as input for INFIL V1.0 (Flint et al. 1996 [DIRS 100147]). 
The soil depth class values of 1 indicate thin upland soils ranging from 
0 to 0.5 m in thickness for all grid cell locations in the selected subset . 
UTM=Universal Transverse Mercator 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 E-20 November 2004 
Table E-3. Subset of Raster Grid Matrix from 30MSITE.INP (identical to the grid cell locations used in 
Table E-1) 
UTM Easting Grid Coordinates (Meters) UTM Northing Grid 
Coordinates 
(Meters) 547991 548021 548051 
4076523 20 20 20 
4076493 20 20 20 
4076463 20 20 20 
4076433 20 20 20 
4076403 1 1 1 
4076373 20 20 20 
Source: Scott and Bonk (1984 [DIRS 104181]); DTN: MO0003COV00095.000 
[DIRS 146848]). 
NOTE: This table shows rock-type identification numbers used in the 
geospatial parameter input file for INFIL V1.0 (Flint et al. 1996 
[DIRS 100147]) and provided as input to GEOMAP7. The rock-type 
identifier codes correspond to the rasterized bedrock geology map of 
Scott and Bonk (1984 [DIRS 104181]) . 
UTM=Universal Transverse Mercator 
Table E-4. Subset of Raster Grid Matrix from GEOMAP7.INP (identical to the grid cell locations used in 
Tables G-1 and G-2) 
UTM Easting Grid Coordinates (Meters) UTM Northing Grid 
Coordinates 
(Meters) 547991 548021 548051 
4076523 318 316 316 
4076493 318 318 318 
4076463 318 318 318 
4076433 318 318 318 
4076403 302 301 301 
4076373 20 20 20 
Source: Day et al. (1988 [DIRS 101557]). 
Output DTN: GS000308311221.004. 
NOTE: This table shows new rock-type identification numbers (values of 300 
and greater) created by GEOMAP7 using updated bedrock geology 
map from Day et al. (1998 [DIRS 101557]). Rock-type identification 
numbers less than 300 indicate locations where the original rock-type 
used for INFIL V1.0 (Flint et al. 1996 [DIRS 100147]) was substituted 
back because the updated rock-type indicated alluvium or colluvium for 
locations having less than 6 m of soil cover, as identified by the soil 
depth class map. 
UTM=Universal Transverse Mercator 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 E-21 November 2004 
Table E-5. Extracted Section of Input File, 30MSITE.INP Analyzed in the EXCEL Spreadsheet GEOMAP7.XLS as Part of the Test Plan for the 
Routine GEOMAP7 
Grid cell 
sequence 
number 
Universal 
Transverse 
Mercator 
Easting 
(meters) 
Universal 
Transverse 
Mercator 
Northing 
(meters) 
Latitude 
(decimal 
degrees) 
Longitude 
(decimal 
degrees) 
Slope 
(deg) 
Aspect 
(deg) 
Elevation 
(meters) 
Soil 
Type 
Code 
(ID#) 
Soil 
Depth 
class 
Scott and 
Bonk (1984 
[DIRS 
104181]) 
Rock type 
Map ID 
112500 550571 4078653 36.8543 116.4327 5 91 1159 2 4 1 
112501 550601 4078653 36.8543 116.4324 4 91 1157 2 4 1 
112502 550631 4078653 36.8543 116.4321 3 92 1155 2 4 1 
112503 550661 4078653 36.8543 116.4317 3 97 1153 2 4 1 
112504 550691 4078653 36.8543 116.4314 3 104 1152 2 4 1 
112505 550721 4078653 36.8543 116.4311 2 100 1151 2 4 1 
112506 550751 4078653 36.8543 116.4307 2 166 1150 2 3 1 
112507 550781 4078653 36.8543 116.4304 6 303 1151 9 2 1 
112508 550811 4078653 36.8543 116.43 9 309 1155 9 2 12 
112509 550841 4078653 36.8543 116.4297 10 318 1159 5 1 1 
112510 550871 4078653 36.8543 116.4294 10 327 1163 5 1 19 
112511 550901 4078653 36.8543 116.429 9 224 1165 5 1 19 
112512 550931 4078653 36.8543 116.4287 9 49 1163 5 1 17 
112513 550961 4078653 36.8542 116.4284 14 88 1158 5 1 17 
112514 550991 4078653 36.8542 116.428 17 100 1149 5 1 17 
112515 551021 4078653 36.8542 116.4277 14 104 1140 5 1 1 
112516 551051 4078653 36.8542 116.4274 10 101 1134 5 1 1 
112517 551081 4078653 36.8542 116.427 8 99 1130 9 2 1 
112518 551111 4078653 36.8542 116.4267 6 104 1126 9 2 1 
112519 551141 4078653 36.8542 116.4263 4 115 1123 9 2 1 
112520 551171 4078653 36.8542 116.426 3 124 1122 9 2 1 
Source: Scott and Bonk (1984 [DIRS 104181]); DTN: MO0003COV00095.000 [DIRS 146848]). 
NOTE: The table shows the input file format for the first 11 columns in terms of the separate input parameter sets organized by columns and also in terms of the 
set of different geospatial input parameters associated with specific grid cell locations and organized by rows. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 E-22 November 2004 
Table E-6. Extracted Section of the Output file, GEOMAP7.INP Created by GEOMAP7 V1.0 and Analyzed in the EXCEL Spreadsheet 
GEOMAP7.XLS as Part of the Routine Test Plan 
Grid Cell 
Sequence 
Number 
Universal 
Transverse 
Mercator 
Easting 
(meters) 
Universal 
Transverse 
Mercator 
Northing 
(meters) 
Latitude 
(decimal 
degrees) 
Longitude 
(decimal 
degrees) 
Slope 
(deg) 
Aspect 
(deg) 
Elevation 
(meters) 
Soil 
Type 
Code 
(ID#) 
Soil 
Depth 
class 
Updated 
Rock type 
Map ID # using 
Day et al. (1998 
[DIRS 101557]) 
geology 
112500 550571 4078653 36.8543 116.4327 5 91 1159 2 4 301 
112501 550601 4078653 36.8543 116.4324 4 91 1157 2 4 301 
112502 550631 4078653 36.8543 116.4321 3 92 1155 2 4 301 
112503 550661 4078653 36.8543 116.4317 3 97 1153 2 4 301 
112504 550691 4078653 36.8543 116.4314 3 104 1152 2 4 301 
112505 550721 4078653 36.8543 116.4311 2 100 1151 2 4 301 
112506 550751 4078653 36.8543 116.4307 2 166 1150 2 3 301 
112507 550781 4078653 36.8543 116.4304 6 303 1151 9 2 301 
112508 550811 4078653 36.8543 116.43 9 309 1155 9 2 12 
112509 550841 4078653 36.8543 116.4297 10 318 1159 5 1 302 
112510 550871 4078653 36.8543 116.4294 10 327 1163 5 1 315 
112511 550901 4078653 36.8543 116.429 9 224 1165 5 1 315 
112512 550931 4078653 36.8543 116.4287 9 49 1163 5 1 314 
112513 550961 4078653 36.8542 116.4284 14 88 1158 5 1 313 
112514 550991 4078653 36.8542 116.428 17 100 1149 5 1 313 
112515 551021 4078653 36.8542 116.4277 14 104 1140 5 1 314 
112516 551051 4078653 36.8542 116.4274 10 101 1134 5 1 1 
112517 551081 4078653 36.8542 116.427 8 99 1130 9 2 1 
112518 551111 4078653 36.8542 116.4267 6 104 1126 9 2 1 
112519 551141 4078653 36.8542 116.4263 4 115 1123 9 2 1 
112520 551171 4078653 36.8542 116.426 3 124 1122 9 2 1 
Source: Day et al. (1988 [DIRS 101557]). 
Output DTN: GS000308311221.004. 
NOTE: The grid cell locations are identical to those indicated in Table E-5. The table indicates that only the rock type map ID number has been modified (values of 
300 and greater), and that the original Scott and Bonk (1984 [DIRS 104181]) map type ID number has been preserved for grid cell locations were a soil 
depth class of 3 or less coincided with an unconsolidated rock-type from Day et al. (1998 [DIRS 101557]). 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 E-23 November 2004 
 Listing of source code for routine GEOMAP7 V1.0: 
program geomap7 
c version 1.0 
c 
c Routine to include the updated bedrock geology 
c for the central block area (from Day and others, 1998) 
c into the geospatial parameter input file for INFIL version 2.0. 
c 
c This is the second routine in a sequence of pre-processing 
c routines used to develop the geospatial input files used 
c for the net infiltration modeling program, INFIL version 2.0. 
c 
c GEOMAP7 performs two functions: 
c The first function is a modification of the rock-tpye 
c identification number (column 11 of the input file 30MSITE.INP). 
c The modification is performed by adding a value of 300 to 
c the values of the 4th column in the input file NEWGEOL.DAT, 
c which correspond to the central block area bedrock geology 
c map from Day and others (1998). The modification is performed 
c by exchanging (substituting) the old rock-type numbers provided 
c by the Sawyer et al. (1995) and the Scott and Bonk (1984) 
c geology maps with the new rock-type numbers for grid cell 
c locations within the area of the central block geology map. 
c 
c The first function also performs a back-substitution of the 
c rock-type numbers 
c to the original rock-type numbers within the area of the 
c central block map. The back-substitution is performed to 
c utilize the Scott and Bonk (1984) geology map for 
c providing estimates of rock-type numbers for grid cells with 
c intermediate soil thickness (between 0.5 and 6 meters). 
c 
c The second function consists of a modification of 
c the original soil depth class parameters to identify areas where 
c thin soil overlies mapped alluvium and colluvium. 
c This provides the option to correct (increase) soil depth for these 
c grid locations, which would otherwise have a strong potential of 
c being high flux locations. 
c 
c 
c The input and output files are column-formatted 
c ASCII text files consisting of 253,597 rows (for 
c 253,597 grid cell locations) and 48 columns where 
c each column corresponds to a specific geospatial 
c parameter according to the following order: 
c 
c column 1: LOCID (grid location number) 
c column 2: X2 (UTM easting coordinate, in meters) 
c column 3: Y2 (UTM northing coordinate, in meters) 
c column 4: LAT (latitude for X coordinate, in decimal degrees) 
c column 5: LON (longitude for Y coordinate, in decimal degrees) 
c column 6: SL (ground surface slope, in degrees) 
c column 7: ASP (ground surface aspect, in degrees) 
c column 8: ELEV (ground surface elevation, in meters) 
c column 9: SOILTYPE (soil type identification number) 
c column 10: DEPTHCLASS (soil depth class identification number) 
c column 11: ROCKTYPE (rock type identification number) 
c column 12: TOPOID (topographic position identification number) 
c column 13: RIDGE(1) (1st blocking ridge angle) 
c   
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 E-24 November 2004 
c   
c column 48 RIDGE(36) (last blocking ridge angle) 
c 
c 
c This routine was written by 
c Joe Hevesi, U.S. Geological Survey, WRD 
c Placer Hall, 6000 J Street 
c Sacramento, CA, 
c 
c---------------------------------------------------------------------72 
c 
integer n,geo1,rocktype,soiltype,depthclass,topoid 
integer sl,asp,elev 
integer iopt,x1,y1 
integer geo(300000) 
real x3(300000),y3(300000) 
real lat,lon,x2,y2 
integer minx,maxx,miny,maxy 
integer ridge(40) 
character*20 geoin,inpfile,newgeo 
character*80 header 
character*10,legend 
5 format(A) 
open(unit=7,file=geomap7.ctl) 
read(7,5) header 
read(7,5) geoin 
read(7,5) inpfile 
read(7,5) newgeo 
read(7,*) minx,maxx 
read(7,*) miny,maxy 
c 
open(unit=8,file=geoin) 
open(unit=9,file=inpfile) 
open(unit=10,file=newgeo) 
c 
c 
c---- read in new geology map 
c ----------------------- 
n = 1 
150 read(8,*,end=160) nx,x3(n),y3(n),geo(n) 
n = n + 1 
goto 150 
160 n = n -1 
write(*,*) n 
pause 
c 
c---- read in original INFIL version 1.0 input file 
c --------------------------------------------- 
200 read(9,*,END=900) locid,x2,y2,lat,lon, 
1 sl,asp,elev,SOILTYPE,depthclass,ROCKTYPE, 
2 topoid,(ridge(j), j=1,36) 
c 
c 
c-------- x2,y2 restrict number of times newgeol file 
c needs to be sampled 
if(x2.ge.minx.and.x2.le.maxx.and.y2.ge.miny.and.y2.le.maxy) 
1 then 
c 
do i = 1,n 
c 
c---------------- scan grids for matching cell locations 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 E-25 November 2004 
if(x3(i).eq.x2.and.y3(i).eq.y2) then 
c 
c 
c---------------- Use Scott & Bonk geology if present, rather 
c then Day et al alluvium/colluvium. 
c If soil depth class map indicates that this 
c is an upland location, change soil depth class 
c to 2. If soil depth class map indicates thick 
c soils (value of 4), change to 3 
if((geo(i).eq.1.or.geo(i).eq.2).and. 
1 ((rocktype.ne.0).and. 
2 (rocktype.ne.1).and. 
3 (rocktype.ne.204))) then 
if(depthclass.eq.1) depthclass = 2 
if(depthclass.eq.4) depthclass = 3 
goto 300 
endif 
c 
if(geo(i).gt.0) rocktype = geo(i) + 300 
c 
c 
300 continue 
endif 
enddo 
endif 
c 
c 
write(10,205) locid,x2,y2,lat,lon,sl,asp,elev, 
1 soiltype,depthclass,rocktype,topoid,(ridge(j), j=1,36) 
205 format(i7,f9.0,f10.0,f8.4,f9.4,i4,i4,i6,i3,i3,i4,i3, 
1 36i3) 
write(*,*) locid 
goto 200 
c 
900 continue 
close(10) 
stop 
end 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 E-26 November 2004 
INTENTIONALLY LEFT BLANK
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 November 2004 
APPENDIX F 
ADJUSTMENT OF THE SOIL DEPTH CLASS MAP USING GEOMOD4 V1.0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 November 2004 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 F-1 November 2004 
F1. NAME OF ROUTINE/MACRO WITH VERSION/OS/HARDWARE 
ENVIRONMENT AND USER INFORMATION 
Name of software routine: GEOMOD4 V1.0 
OS and hardware environment: Windows NT 4.0, Pentium Pro PC 
Computer Identification: SM321276 with a USGS specific host-name P720dcasr 
Software Users: Joseph Hevesi (916-278-3274), Alan Flint (916-278-3221) 
User Location: U.S. Geological Survey, Room 5000E, Placer Hall, 6000 J Street, Sacramento, 
CA 95819-6129 
F2. NAME OF COMMERCIAL SOFTWARE WITH VERSION/OS/HARDWARE 
USED TO DEVELOP ROUTINE/MACRO 
The source code for GEOMOD4 V1.0 was developed using the standard FORTRAN77 
programming language. The source code was written, debugged, and compiled (for PC 
platforms using INTEL processors) using DIGITAL Visual Fortran with Microsoft Developer 
Studio, V. 5.0. 
F3. GENERAL DESCRIPTION OF ROUTINE/MACRO 
GEOMOD4 V1.0 is a FORTRAN77 routine developed in accordance with AP-SI.1Q, 
specifically for the analysis/model activity documented in this report. The routine source code 
(GEOMOD4.FOR), compiled executable file (GEOMOD4.EXE), routine control file 
(GEOMOD4.CTL), input and output files, validation test files, and a copy of this appendix, are 
located under the directory GEOMOD4 on a CD-ROM labeled GEOINPUT-1. The routine 
source code, control file, and the input and output files are ASCII text files that can be read using 
any standard ASCII text editor and can be imported into standard word processing applications 
such as Microsoft Word. The executable file can be used to run GEOMOD4 V1.0 on any PC 
with an INTEL processor (with adequate RAM). 
The parameters calculated by GEOMOD4 that are included in the developed output file, 
GEOMOD4.INP, are used for the development of the geospatial parameter input file 
for INFIL V2.0 (USGS 2000 [DIRS 139422]). The file, GEOMOD4.INP is used directly as 
input to the routine SOILMAP6 V1.0. 
F4. TEST PLAN FOR THE SOFTWARE ROUTINE GEOMOD4 V1.0 
 Explain whether this is a routine or macro and describe what it does: 
GEOMOD4 V1.0, is the third routine applied in a sequence of FORTRAN 77 routines 
that are used in the development of the geospatial parameter input file for INFIL V2.0. 
GEOMOD4 V1.0 uses the input file, GEOMAP7.INP (the output file created by 
GEOMAP7 V1.0) to perform a partial modification of the original soil depth class 
parameters used as input to INFIL V1.0 (Flint and others, 1996). In addition, 
GEOMOD4 V1.0 performs an adjustment of the rock-type identification numbers 
based on the modified soil depth class parameters. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 F-2 November 2004 
The modifications to the soil depth class parameters performed by GEOMOD4 V1.0 
are required to maintain consistency with the updated bedrock geology obtained from 
Day et al. (1998 [DIRS 101557]) and incorporated into the geospatial parameter input 
file using GEOMAP7. Two separate modifications to the soil depth class parameters 
are performed by GEOMOD4. To perform the first modification, the routine 
systematically scans the entire input grid and identifies all grid cells with 
unconsolidated rock-types that are adjacent to grid cells with consolidated rock-types 
(areas with consolidated rock-types are indicative of upland areas with thin soils). The 
grid cells defining the modified boundary are assigned a new soil depth class number 
of 5. Soil depth class 5 is used to represent a transitional soil thickness zone between 
thick soils defined by mapped areas of unconsolidated materials (alluvium and 
colluvium) and thin soils defined by mapped areas of consolidated bedrock. The 
original transitional soil depth class 3 was developed in ARCINFO v6.1.2 using 
a 30-meter buffer zone along the boundary defined by the alluvium-bedrock or 
colluvium-bedrock contacts. The buffer zone is thus used to define a 30-meter 
transitional area of intermediate soil depths between locations with thick soils 
identified by soil depth class 4 and locations with thin soils identified by soil depth 
classes 1 and 2. Soil depth class 5 is equivalent to soil depth class 3 obtained form the 
input file, in terms of defining an intermediate range of potential soil thickness. 
The second soil depth class modification is performed by identifying grid cells having 
soil depth class 4 (soil thickness of 6 m and greater) and also a consolidated rock-type 
number. This combination indicates the possibility of an inconsistency between the 
soil depth class map and the updated rock-type. The soil depth class is changed 
to 6 for the purpose of identifying these locations as a part of the intermediate soil 
thickness zone. Depth class 6 is equivalent to depth classes 5 and 3 in terms of the 
procedure used for estimating soil thickness in the routine SOILMAP6 (Appendix G). 
The purpose of using three different soil depth class numbers (3, 5, and 6) for 
representing an equivalent intermediate soil depth classes is to identify the method 
used to estimate the depth class. This information is used as part of the test plan. 
The second function performed by GEOMOD4 V1.0 is a modification of rock-type 
parameters for grid cells having an intermediate or thin soil depth class number. This 
modification is required to prevent the inconsistency of having locations with thin or 
intermediate soil thickness assigned an unconsolidated rock-type. The routine 
identifies grid cells having this inconsistency and a consolidated rock-type is estimated 
by scanning the eight adjacent grid cell locations and identifying the most prevalent 
consolidated rock-type map number (or the first consolidated rock-type encountered, if 
there is no prevalent consolidated rock-type). If all adjacent grid cells are associated 
with unconsolidated rock-types, the inconsistency is corrected by changing the soil 
depth class to 4 (for thick soils) and the existing unconsolidated rock-type number is 
not modified. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 F-3 November 2004 
 Listing of FORTRAN77 Source code: 
A listing of the FORTRAN77 source code for the routine GEOMAP7 V1.0 along with 
examples of the input and output files used in the test plan are included at the end of 
this appendix. 
 Description of test(s): 
A validation test of the functions performed by the routine was conducted by a visual 
comparison between the input files (GEOMAP7.INP) and the output file 
(GEOMOD4.INP). The test criteria for the functions performed by GEOMOD4 
consists of visual verification that the soil depth class parameters have been correctly 
modified and that the rock-type identification numbers for grid cells assigned to soil 
depth class 5 have been correctly estimated based on adjacent grid cells. The test plan 
consists of a 3-step testing procedure using a combination of a visual inspection of 
map images and a visual inspection of parameter values in the input and output ASCII 
test files. The comparison of input and output grid cell values and the generation of 
map images was facilitated using the raster-based grid and map-imaging applications 
available in the acquired software program TRANSFORM. The raster-based grid and 
map-imaging utilities allow for an analysis of the entire raster grid and also a detailed 
evaluation of grid cell values for specified grid locations. 
Additional validation tests were also performed by extracting and comparing identical 
subsets (in terms of grid cell locations) from the raster images created in 
TRANSFORM and by visually inspecting identical subsets (based on grid cell 
locations) of the input file, GEOMAP7.INP and the output file, GEOMOD4.INP. This 
method of testing allowed for quantitative manual checking of the specific operations 
performed by GEOMOD4 based on the values of the input and output parameters. 
The criteria applied in this method of validation consisted of a visual verification that 
the intended modifications of the geospatial input file had been correctly performed. 
A final test that the routine had functioned correctly was performed by a comparison 
of the input and output files to verify that no unintended modifications had occurred 
during program execution. 
 Specify the range of input values to be used and why the range is valid: 
GEOMAP7.INP is the main input file used by GEOMOD4 V1.0. The file is specified 
in the file, GEOMOD4.CTL, which is the routine control file for GEOMOD4 and is 
required for program execution. GEOMAP7.INP is a column-formatted ASCII file 
consisting of 253,597 rows and 48 columns (Appendix E). Two parameters provided 
by GEOMAP7.INP are used by GEOMOD4: the soil depth class number (column 10) 
and the rock-type number (column 11). The input values for soil depth class are 
integers from 1 to 4 and the input values for rock-type are integers from 1 to 345. This 
input range is valid because the values were obtained from ARCINFO using the source 
data as input (see Appendix D for description of source data used for 30MSITE.INP) 
and a sequence of applied software routines described in Appendices D through E of 
this report. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 F-4 November 2004 
F5. TEST RESULTS 
 Output from test: 
The output for the test case is the main output file, GEOMOD4.INP generated by 
GEOMOD4 V1.0. The output file is used to generate raster-format map image files in 
TRANSFORM, which are used only as a part of the validation test plan (the map 
image files are not required as part of the preprocessing procedure for developing the 
input used by INFIL V2.0). 
 Description of how the testing shows that the results are correct for the 
specified input: 
The map images developed using TRANSFORM indicate by visual inspection that the 
integer values defining the updated soil depth class parameter have been correctly 
modified and incorporated into the output file, GEOMOD4.INP that is created by 
GEOMOD4. Visual comparison of the results from GEOMAP7.INP and 
GEOMOD4.INP indicates that the intended modification of the soil depth class 
parameters has been correctly performed. 
The subset of grid cell locations (a rectangular area in the upper part of Solitario 
Canyon) and corresponding input and output parameter values that were used to 
visually check that the functions performed by the routine had been executed correctly 
(the intended modifications to the parameters had occurred). The comparison between 
the input and output verifies that the first soil depth class modification and the 
rock-type estimation function are being properly executed by the routine. 
For the grid cell located at 547391 easting and 4079253 northing, the input soil depth 
class is 4 representing locations with thick soils of 6 m and greater and the input 
rock-type is 321 which is consolidated bedrock and thus indicates an upland location 
that should be associated with thin to intermediate soil thickness. Table F-3 indicates 
that GEOMOD4 has correctly identified the inconsistency and has modified the soil 
depth class to 6, which is equivalent to depth class 3 and 5 in terms of estimating soil 
thickness. Table F-4 indicates that no modifications were made to the rock-type for 
this location. This comparison between the input and output verifies that the second 
soil depth class modification is being properly executed by the routine. 
Comparison of the input and output files indicates that no unintended modifications 
occurred during program execution (see printouts for input and output files under 
Section 6). Both the input and output files consist of 253,597 rows and 48 columns, 
and the order and format of the rows and columns has not been modified. With the 
exception of the intended modifications made to the soil depth and rock-type 
parameters, the input and output files were found to be equivalent. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 F-5 November 2004 
 List limitations or assumptions to this test case and code in general: 
The limitations of the developed test case are based on the practical limitations of 
verifying modified parameter values for all 253, 597 grid cells included in the output 
file used for the developed test case. Validation of the entire output file used in the 
test case was performed as a visual evaluation of raster-based map images produced in 
TRANSFORM. Only a representative subset of the entire output file could be used for 
a more detailed and quantitative testing of the specific functions performed by the 
routine. However, there is no expected significance to this limitation. 
 Electronic files identified by name and location: 
Electronic files are located on CD-ROM labeled GEOINPUT-1, under the 
directory GEOMOD4, included as an appendix to the report. The following 
electronic files are provided: 
GEOMOD4.CTL: Input file consisting of the input and output file names for 
GEOMOD4. 
GEOMOD4.FOR: FORTRAN source code listing for the routine GEOMOD4 V1.0. 
A printout of the source code is included as part of this appendix. 
GEOMOD4.EXE: Executable file for the routine GEOMOD4 V1.0, compiled for 
INTEL processors. 
GEOMAP7.INP: Input file consisting of a column-formatted, ASCII text file with 
253,597 rows and 48 column. This file was developed as the 
output file from GEOMAP7 version (Appendix E). A partial 
printout of the first part of this file is included as part of this 
appendix. 
GEOMOD4.INP: Output file consisting of a column-formatted, ASCII text file 
with 48 columns and 253,597 rows. Each row corresponds to a 
grid cell location for the geospatial parameter base grid (the 
UTM location coordinates are defined by columns 2 and 3). 
Columns 10 (soil depth class) and 11 (rock-type number) of this 
file contain the parameters modified by GEOMOD4 V1.0. A 
partial printout of the first part of this file is included as part of 
this appendix. 
GEOMAP7B.HDF: TRANSFORM raster-based map image of the soil depth class 
parameters obtained from column 10 of the input file, 
GEOMAP7.INP. The file is used to perform the software routine 
validation test and is provided as supporting information. This 
file is not a part of the routine application. 
GEOMOD4A.HDF: TRANSFORM raster-based map image of the modified soil 
depth class parameters obtained from column 10 of the output 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 F-6 November 2004 
file, GEOMOD4.INP. The file is used to perform the software 
routine validation test and is provided as supporting information. 
This file is not a part of the routine application. 
F6. SUPPORTING INFORMATION. (INCLUDE BACKGROUND INFORMATION, 
SUCH AS REVISION TO A PREVIOUS ROUTINE OR MACRO, OR 
EXPLANATION OF THE STEPS PERFORMED TO RUN THE SOFTWARE. 
INCLUDE LISTINGS OF ALL ELECTRONIC FILES AND CODES USED). 
 Procedure for running routine: 
To run the routine GEOMOD4 V1.0, the executable file (GEOMOD4.EXE), the 
routine control file (GEOMOD4.CTL), and the input file specified in the routine 
control file (GEOMAP7.INP) must be placed in the same directory. The routine is 
executed by typing GEOMOD4 in a DOS window or by double clicking on the file, 
GEOMOD4.EXE in the Microsoft Windows operating system, or by typing in the path 
and filename in the RUN window of the Windows NT or Windows 98 start menu. 
The input and output file names must be in the correct sequential order as specified in 
the routine control file (see example listing below). 
 Example listing of routine control file, GEOMOD4.CTL 
geomod4.ctl (header line) 
geomap7.inp (input file from routine GEOMAP7 version 1.0)geomod4.inp (output 
file generated by GEOMOD4.ctl) 
 Example listing of GEOMAP7.INP. This is the output file generated by 
GEOMAP7 V1.0 and supplied as input to the routine GEOMOD4 V1.0 (only 
the first 20 lines of the file are listed). 
1 544661. 4087833. 36.9373 116.4985 21 238 1739 5 1 201 4 0 0 
0 0 0 0 0 2 25 25 25 24 23 21 19 16 11 11 1 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
2 544691. 4087833. 36.9373 116.4981 25 259 1750 5 1 201 4 0 0 
0 0 0 0 0 3 29 28 27 26 25 22 19 17 11 11 1 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
3 544721. 4087833. 36.9373 116.4978 26 269 1767 5 1 201 4 0 0 
0 0 0 0 0 2 25 25 26 26 24 20 18 17 10 10 1 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
4 544751. 4087833. 36.9373 116.4975 24 277 1781 5 1 201 4 0 0 
0 0 0 0 0 2 25 25 26 26 25 22 18 16 9 9 2 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
5 544781. 4087833. 36.9373 116.4971 25 284 1794 5 1 201 4 0 0 
0 0 0 0 0 2 26 26 27 26 25 23 21 17 11 11 2 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
6 544811. 4087833. 36.9373 116.4968 28 286 1807 5 1 201 4 0 0 
0 0 0 0 0 3 29 28 24 25 24 23 20 17 14 14 2 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
7 544841. 4087833. 36.9373 116.4965 28 284 1824 5 1 201 4 0 0 
0 0 0 0 0 2 25 23 15 16 15 17 15 13 11 11 1 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
8 544871. 4087833. 36.9373 116.4961 24 277 1838 5 1 201 4 0 0 
0 0 0 0 0 2 23 20 2 5 6 6 6 5 8 9 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 F-7 November 2004 
9 544901. 4087833. 36.9373 116.4958 16 241 1851 5 1 201 4 0 0 
0 0 0 0 0 0 5 4 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
10 544931. 4087833. 36.9373 116.4955 13 169 1854 5 1 202 4 0 0 
0 0 0 0 0 0 5 4 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
11 544961. 4087833. 36.9373 116.4951 21 127 1846 5 1 202 4 0 0 
0 0 0 0 0 0 5 4 0 0 0 0 0 0 0 0 2 1 0 1 1 1 2 1 14 12 
0 0 0 0 0 0 0 0 
12 544991. 4087833. 36.9373 116.4948 20 128 1836 5 1 202 4 0 0 
0 0 0 0 0 0 8 7 1 1 0 0 0 0 0 0 2 4 4 4 4 7 9 9 18 15 
0 0 0 0 0 0 0 0 
13 545021. 4087833. 36.9373 116.4944 16 166 1829 5 1 202 4 0 0 
0 0 0 0 0 1 14 13 8 3 1 0 0 0 0 0 2 5 6 6 6 7 8 11 15 13 
0 0 0 0 0 0 0 0 
14 545051. 4087833. 36.9373 116.4941 19 220 1833 5 1 202 4 0 0 
0 0 0 0 0 2 18 16 8 6 2 1 0 0 0 0 0 3 4 4 3 3 3 3 9 7 
0 0 0 0 0 0 0 0 
15 545081. 4087833. 36.9373 116.4938 22 232 1843 5 1 201 4 0 0 
0 0 0 0 0 1 16 14 3 2 0 0 0 0 0 0 0 0 1 2 1 1 1 1 4 3 
0 0 0 0 0 0 0 0 
16 545111. 4087833. 36.9373 116.4934 20 224 1852 5 1 201 4 0 0 
0 0 0 0 0 1 11 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
17 545141. 4087833. 36.9373 116.4931 20 204 1858 5 1 201 4 0 0 
0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
18 545171. 4087833. 36.9373 116.4928 21 188 1861 5 1 201 4 0 0 
0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
19 545201. 4087833. 36.9373 116.4924 23 178 1862 5 1 201 4 0 0 
0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
20 545231. 4087833. 36.9373 116.4921 23 162 1861 5 1 201 4 0 0 
0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 
0 0 0 0 0 0 0 0 
 Example listing of GEOMOD4.INP. This is the output file generated by 
GEOMOD4 V1.0 and supplied as input to the routine SOILMAP6 V1.0 (only 
the first 20 lines of the file are listed). 
1 544661. 4087833. 36.9373 116.4985 21 238 1739 5 1 201 4 0 0 0 0 
0 0 0 2 25 25 25 24 23 21 19 16 11 11 1 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 
2 544691. 4087833. 36.9373 116.4981 25 259 1750 5 1 201 4 0 0 
0 0 0 0 0 3 29 28 27 26 25 22 19 17 11 11 1 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
3 544721. 4087833. 36.9373 116.4978 26 269 1767 5 1 201 4 0 0 
0 0 0 0 0 2 25 25 26 26 24 20 18 17 10 10 1 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
4 544751. 4087833. 36.9373 116.4975 24 277 1781 5 1 201 4 0 0 
0 0 0 0 0 2 25 25 26 26 25 22 18 16 9 9 2 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
5 544781. 4087833. 36.9373 116.4971 25 284 1794 5 1 201 4 0 0 
0 0 0 0 0 2 26 26 27 26 25 23 21 17 11 11 2 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
6 544811. 4087833. 36.9373 116.4968 28 286 1807 5 1 201 4 0 0 
0 0 0 0 0 3 29 28 24 25 24 23 20 17 14 14 2 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 F-8 November 2004 
7 544841. 4087833. 36.9373 116.4965 28 284 1824 5 1 201 4 0 0 
0 0 0 0 0 2 25 23 15 16 15 17 15 13 11 11 1 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
8 544871. 4087833. 36.9373 116.4961 24 277 1838 5 1 201 4 0 0 
0 0 0 0 0 2 23 20 2 5 6 6 6 5 8 9 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
9 544901. 4087833. 36.9373 116.4958 16 241 1851 5 1 201 4 0 0 
0 0 0 0 0 0 5 4 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
10 544931. 4087833. 36.9373 116.4955 13 169 1854 5 1 202 4 0 0 
0 0 0 0 0 0 5 4 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
11 544961. 4087833. 36.9373 116.4951 21 127 1846 5 1 202 4 0 0 
0 0 0 0 0 0 5 4 0 0 0 0 0 0 0 0 2 1 0 1 1 1 2 1 14 12 
0 0 0 0 0 0 0 0 
12 544991. 4087833. 36.9373 116.4948 20 128 1836 5 1 202 4 0 0 
0 0 0 0 0 0 8 7 1 1 0 0 0 0 0 0 2 4 4 4 4 7 9 9 18 15 
0 0 0 0 0 0 0 0 
13 545021. 4087833. 36.9373 116.4944 16 166 1829 5 1 202 4 0 0 
0 0 0 0 0 1 14 13 8 3 1 0 0 0 0 0 2 5 6 6 6 7 8 11 15 13 
0 0 0 0 0 0 0 0 
14 545051. 4087833. 36.9373 116.4941 19 220 1833 5 1 202 4 0 0 
0 0 0 0 0 2 18 16 8 6 2 1 0 0 0 0 0 3 4 4 3 3 3 3 9 7 
0 0 0 0 0 0 0 0 
15 545081. 4087833. 36.9373 116.4938 22 232 1843 5 1 201 4 0 0 
0 0 0 0 0 1 16 14 3 2 0 0 0 0 0 0 0 0 1 2 1 1 1 1 4 3 
0 0 0 0 0 0 0 0 
16 545111. 4087833. 36.9373 116.4934 20 224 1852 5 1 201 4 0 0 
0 0 0 0 0 1 11 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
17 545141. 4087833. 36.9373 116.4931 20 204 1858 5 1 201 4 0 0 
0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
18 545171. 4087833. 36.9373 116.4928 21 188 1861 5 1 201 4 0 0 
0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
19 545201. 4087833. 36.9373 116.4924 23 178 1862 5 1 201 4 0 0 
0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
20 545231. 4087833. 36.9373 116.4921 23 162 1861 5 1 201 4 0 0 
0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 
0 0 0 0 0 0 0 0 
 Listing of source code for routine GEOMOD4 V1.0: 
program geomod4 
c version 1.0 
c 
c subroutine to modify soil depth buffer zone based on 
c the updated geology (output from geomap7) 
c 
c This is the third routine in a sequence of pre-processing 
c routines used to develop the geospatial input files used 
c for the net infiltration modeling program, INFIL version 2.0. 
c 
c GEOMOD4 performs two functions: 
c The first function is a modification of the soil depth 
c class parameters (column 10 of the input file GEOMAP7.INP). 
c The modification of soil depth class is performed to 
c create a consistency between soil thickness and the 
c updated geology map from Day and others (1998), 
c and consists of two steps: 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 F-9 November 2004 
c The first step is an adjustment of the intermediate soil depth 
c class representing the transitional zone between the thin soils 
c of rugged upland areas and the thick soils of basin-fill areas. 
c The second step is a flagging of grid cells with thick soils and 
c a consolidated rock-type number. 
c 
c The second function is a modification of the rock-type number 
c for all grid cells within the updated intermediate soil 
c depth class having an unconsolidated rock-type. The function 
c consists of estimating the rock-type based on a scanning of 
c of the adjacent grid cells and selecting the most prevalent 
c rock-type (or the first rock-type if there is 
c no prevalent rock-type). 
c 
c The input and output files are column-formatted 
c ASCII text files consisting of 253,597 rows (for 
c 253,597 grid cell locations) and 48 columns where 
c each column corresponds to a specific geospatial 
c parameter according to the following order: 
c 
c column 1: LOCID (grid location number) 
c column 2: X (UTM easting coordinate, in meters) 
c column 3: Y (UTM northing coordinate, in meters) 
c column 4: LAT (latitude for X coordinate, in decimal degrees) 
c column 5: LONG (longitude for Y coordinate, in decimal degrees) 
c column 6: SLOPE (ground surface slope, in degrees) 
c column 7: ASPECT (ground surface aspect, in degrees) 
c column 8: ELEV (ground surface elevation, in meters) 
c column 9: SOILTYPE (soil type identification number) 
c column 10: DEPTHCLASS (soil depth class identification number) 
c column 11: ROCK (rock type identification number) 
c column 12: TOPOID (topographic position identification number) 
c column 13: RIDGE(1) (1st blocking ridge angle) 
c   
c   
c column 48 RIDGE(36) (last blocking ridge angle) 
c 
c 
c This routine was written by 
c Joe Hevesi, U.S. Geological Survey, WRD 
c Placer Hall, 6000 J Street 
c Sacramento, CA, 
c 
c---------------------------------------------------------------------72 
c 
integer n,geo1,rocktype,rown,coln,geo2 
integer soiltype(-1:300000),depthclass(-1:300000), 
1 topoid(-1:300000),locid(-1:300000) 
c 
integer row(-1:300000),col(-1:300000) 
integer slope(-1:300000),aspect(-1:300000),elev(-1:300000) 
integer ridge(-1:300000,36) 
integer iopt 
integer geo(-1:1000,-1:1000),newgeo(-1:300000) 
integer ntemp(30),geotemp(30) 
c 
double precision x(-1:300000),y(-1:300000) 
real lat(-1:300000),long(-1:300000) 
real x1,y1,x2,y2,yold 
integer minrow,maxrow,mincol,maxcol 
c 
character*20 inpfile,geonew 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 F-10 November 2004 
character*80 header 
character*10,legend 
5 format(A) 
open(unit=7,file=geomod4.ctl) 
read(7,5) header 
read(7,5) inpfile 
read(7,5) geonew 
c 
open(unit=8,file=inpfile) 
open(unit=9,file=geonew) 
c 
c 
maxrow = -9999 
maxcol = -9999 
minrow = 9999 
mincol = 9999 
c 
n = 1 
coln = 0 
rown = 0 
yold = 0. 
c 
100 read(8,*,END=150) locid(n),x(n),y(n),lat(n),long(n), 
1 slope(n),aspect(n),elev(n),soiltype(n),depthclass(n), 
2 rocktype,topoid(n),(ridge(n,j), j=1,36) 
c 
if(y(n).ne.yold) then 
rown = rown + 1 
coln = 1 
write(*,*) n,row(n),col(n) 
endif 
if(maxrow.lt.rown) maxrow = rown 
if(minrow.gt.rown) minrow = rown 
if(maxcol.lt.coln) maxcol = coln 
if(mincol.gt.coln) mincol = coln 
col(n) = coln 
row(n) = rown 
coln = coln + 1 
yold = y(n) 
geo(row(n),col(n)) = rocktype 
n = n + 1 
c 
goto 100 
150 n = n - 1 
write(*,*) n, row(n), col(n) 
pause 
c 
do 300 i = 1,n 
c 
geo1 = geo(row(i),col(i)) 
newgeo(i) = geo1 
c 
c------- if cell is in alluvium/colluvium, then check 
c geology of surrounding cells 
if((geo1.eq.0).or. 
2 (geo1.eq.1).or. 
3 (geo1.eq.204).or. 
4 (geo1.eq.301).or. 
5 (geo1.eq.302)) then 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 F-11 November 2004 
do ii = 1,8 
ntemp(ii) = 0 
geotemp(ii) = -1 
enddo 
c 
ntemp2 = 0 
geotemp2 = -99 
nn = 0 
c 
c---------- tag all bedrock geology within 1st layer 
c of cells surrounding primary cell (geotemp) 
c keep track of which geo type has the most 
c cells (ntemp) 
c 
do 500 ir = -1,1 
do 500 ic = -1,1 
if(ir.eq.0.and.ic.eq.0) goto 500 
row2 = row(i) + ir 
col2 = col(i) + ic 
geo2 = geo(row2,col2) 
if((geo2.ne.0).and. 
1 (geo2.ne.1).and. 
2 (geo2.ne.204).and. 
3 (geo2.ne.301).and. 
4 (geo2.ne.302)) then 
nn = nn + 1 
geotemp(nn) = geo2 
ntemp(nn) = ntemp(nn) + 1 
endif 
500 continue 
do ii = 1,8 
if(ntemp(ii).gt.ntemp2) then 
ntemp2 = ntemp(ii) 
geotemp2 = geotemp(ii) 
endif 
enddo 
if(geotemp2.ne.-99) then 
newgeo(i) = geotemp2 
depthclass(i) = 5 
write(*,*) i, newgeo(i) 
endif 
endif 
c 
if((depthclass(i).eq.4).and. 
1 ((newgeo(i).ne.0).and. 
2 (newgeo(i).ne.1).and. 
3 (newgeo(i).ne.204).and. 
4 (newgeo(i).ne.301).and. 
5 (newgeo(i).ne.302))) then 
depthclass(i) = 6 
endif 
c 
if((newgeo(i).eq.0).or. 
1 (newgeo(i).eq.1).or. 
2 (newgeo(i).eq.204).or. 
3 (newgeo(i).eq.301).or. 
4 (newgeo(i).eq.302)) then 
depthclass(i) = 4 
endif 
c 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 F-12 November 2004 
write(9,205) locid(i),x(i),y(i),lat(i),long(i), 
1 slope(i),aspect(i),elev(i),soiltype(i),depthclass(i), 
2 newgeo(i),topoid(i),(ridge(i,j), j=1,36) 
205 format(i7,f9.0,f10.0,f8.4,f9.4,i4,i4,i6,i3,i3,i4,i3, 
1 36i3) 
c 
300 continue 
c 
close(9) 
stop 
end 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 November 2004 
APPENDIX G 
ESTIMATION OF SOIL DEPTH USING SOILMAP6 V1.0
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 November 2004 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 G-1 November 2004 
G1. NAME OF ROUTINE/MACRO WITH VERSION/OS/HARDWARE 
ENVIRONMENT AND USER INFORMATION 
Name of software routine: SOILMAP6 V1.0, 
OS and hardware environment: Windows NT 4.0, Pentium Pro PC 
Computer Identification: SM321276 with a USGS specific host-name P720dcasr 
Software Users: Joseph Hevesi (916-278-3274), Alan Flint (916-278-3221) 
User Location: U.S. Geological Survey, Room 5000E, Placer Hall, 6000 J Street, Sacramento, 
CA 95819-6129 
G2. NAME OF COMMERCIAL SOFTWARE WITH VERSION/OS/HARDWARE 
USED TO DEVELOP ROUTINE/MACRO 
The source code for SOILMAP6 V1.0 was developed using the standard FORTRAN77 
programming language. The source code was written, debugged, and compiled (for PC 
platforms using INTEL processors) using DIGITAL Visual Fortran with Microsoft Developer 
Studio, V. 5.0. 
G3. GENERAL DESCRIPTION OF ROUTINE/MACRO 
SOILMAP6 V1.0 is a FORTRAN77 routine developed in accordance with AP-SI.1Q, 
specifically for the analysis/model activity documented in this report. The routine source code 
(SOILMAP6.FOR), compiled executable file (SOILMAP6.EXE), routine control file 
(SOILMAP6.CTL), input and output files, validation test files, and a copy of this appendix, are 
located under the directory SOILMAP6 on a CD-ROM labeled GEOINPUT-1. The routine 
source code, control file, and the input and output files are ASCII text files that can be read using 
any standard ASCII text editor and can be imported into standard word processing or spreadsheet 
applications such as Microsoft WORD and EXCEL. The executable file can be used to run 
SOILMAP6 V1.0 on any PC with an INTEL processor (with adequate RAM). 
All input parameters used by SOILMAP6 V1.0 and the parameters calculated by SOILMAP6 
that are included in the developed output file, SOILMAP6.INP, are used for the development of 
the geospatial parameter input file for INFIL V2.0 (USGS 2000 [DIRS 139422]). The file, 
SOILMAP6 is used directly as input to the routine SORTGRD1 V1.0 
G4. TEST PLAN FOR THE SOFTWARE ROUTINE SOILMAP6 V1.0 
 Explain whether this is a routine or macro and describe what it does: 
SOILMAP6 V1.0 is the fourth routine applied in a sequence of FORTRAN 77 routines 
that are used in the development of the geospatial parameter input file for INFIL V2.0. 
Modifications to the geospatial parameter input file performed by SOILMAP6 involve 
an application of empirical, linear scaling functions to estimate an absolute soil 
thickness (in meters) for each grid cell location using the up-dated soil depth class and 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 G-2 November 2004 
ground surface slope parameters obtained from the file, 30msite.inp3. The linear 
scaling functions are based on an assumed correlation between calculated ground 
surface slope and soil thickness within each depth class. The assumed correlation is 
qualitatively supported by subjective field observations indicating a general decrease 
in soil thickness with an increase in ground surface slope. 
The soil thickness function for depth class 1 is based on an assumption that soils tend 
to be relatively thin at summit and ridge-crest locations and are the thinnest for steep 
side slope locations. Thicker soils are assumed to occur at the relatively gently sloping 
shoulder areas that define the transition between summit or ridge-crest areas and steep 
sideslope areas. Thicker soils are also assumed to occur for more gently sloping 
foot-slope locations. Using these assumptions, the linear scaling function used to 
estimate soil depth for model grid cells assigned a soil-depth class number 
of 1 (designated for rugged upland areas with thin soils) is defined by: 
D = 0.03 * S + 0.1, S = 10 (Eq. 14) 
D = 0.013 * (10 - S) + 0.4, 10 < S < 40 
D = 0.01, S = 40 
where D = soil depth (in meters), and S = slope (degrees). The soil thickness function 
for depth class 2, which is defined on the basis of mapped zones of greater soil 
thickness within upland areas generally associated with soil depth class 1, assumes a 
simpler correlation between slope and soil thickness. For grid locations associated 
with soil depth class 2, absolute soil thickness is estimated using: 
D = 2  (0.05 * S), S < 32 (Eq. 15) 
D = 0.4, S = 32 
A single soil thickness function is used for depth classes 3, 5, and 6. The function is 
also based on the assumption of a simple linear correlation between slope and soil 
thickness. For grid locations associated with soil depth classes 3, 5, and 6, absolute 
soil thickness is estimated by: 
D = 6 - (0.16 * S), S = 25 (Eq. 16) 
D = 2.0 S > 25 
For depth class 4, soil depth is set to a uniform depth of 6 m. 
Prior to calculating the soil depth estimates, SOILMAP6 V1.0 uses the input file, 
GEOMOD4.INP (the output file created by GEOMOD4 V1.0) to perform a final 
adjustment of the original soil depth class parameters. The modifications to the soil 
depth class parameters performed by SOILMAP6 are based on a comparison between 
the updated soil depth classes and the updated rock-type parameters. The comparison 
3 Ground surface slope is calculated using ARCINFO which provides a standardized approximation of the true 
ground surface slope using the raster-based grid format of the digital elevation model used as source data and a 
five-point calculation of the average slope. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 G-3 November 2004 
provides a final consistency check to ensure that no grid cell locations have a 
combination of a soil depth class indicating thin soils (associated with rugged upland 
areas) and a rock-type indicating unconsolidated material (associated with basin-fill 
areas). 
 Listing of FORTRAN77 Source code: 
A listing of the FORTRAN77 source code for the routine SOILMAP6 V1.0 along with 
examples of the input and output files used in the test plan are included at the end of 
this appendix. 
 Description of test(s): 
A validation test of the functions performed by the routine was conducted by a visual 
comparison between the input file, GEOMOD4.INP and the output file, 
SOILMAP6.INP. The visual analysis was facilitated by raster-based map images 
created using the acquired software program TRANSFORM. The raster-based grid 
and map-imaging utilities allow for an analysis of the entire raster grid and also a 
detailed evaluation of grid cell values for specified grid locations. 
The test criteria for the functions performed by SOILMAP6 consist of visual 
verification that the soil depth class parameters have been correctly modified and that 
the calculations of soil depth estimates have been correctly performed. The test plan 
consists of a 3-step testing procedure. The first step requires a visual inspection of the 
TRANSFORM map images. The second step requires a check of the calculations 
performed by the routine using a comparison of manual calculations against a selected 
subset of the input and output files. The third step requires a check of the input and 
output files to ensure that the output file format is correct and that no modifications 
other than those intended by the routine application have occurred. 
The second step of the test plan was facilitated by extracting identical subsets (in terms 
of grid cell locations) of the input and output files using the raster-based files created 
by TRANSFORM. The subsets are in the format of ASCII text matrices and are used 
to check the estimated soil thickness values in the output file against a manual 
calculation. The criteria applied in the third step of the test plan consists of visually 
inspecting the input and output files and verifying that the intended modification of the 
geospatial input file had been correctly performed, and that no unintended 
modifications had occurred during program execution. 
SOILMAP6 V1.0 performs an internal testing of the modified soil depth class 
parameters by flagging the soil depth class parameter for a given grid cell location 
with a negative sign if an inconsistency is still identified after the final modification of 
the soil depth class parameters. If no negative values occur in the output file then the 
internal validation test performed by the routine is satisfied. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 G-4 November 2004 
 Specify the range of input values to be used and why the range is valid: 
GEOMOD4.INP is the main input file used by SOILMAP6 V1.0. The file is specified 
in the file, SOILMAP6.CTL, which is the routine control file for SOILMAP6 and is 
required for program execution. GEOMOD4.INP is a column-formatted ASCII file 
consisting of 253,597 rows and 48 columns (Appendix F). Three parameters provided 
by GEOMOD4.INP are used by SOILMAP6: the soil depth class number (column 10), 
the rock-type number (column 11), and the ground surface slope (column 6). The input 
values for soil depth class are integers from 1 to 6, the input values for rock-type are 
integers from 1 to 345, and the input values for slope are integers from 0 to 47. This 
input range is valid because the values were obtained from ARCINFO using the source 
data as input (see Appendix E for description of source data used for 30MSITE.INP) 
and a sequence of applied software routines described in Appendices E through F of 
this report. 
G5. TEST RESULTS 
 Output from test: 
The output for the test case is the main output file, SOILMAP6.INP generated by 
SOILMAP6 V1.0. The output file is used to generate raster-format map image files in 
TRANSFORM, which are used only as a part of the validation test plan (the map 
image files are not required as part of the preprocessing procedure for developing the 
input used by INFIL V2.0). 
 Description of how the testing shows that the results are correct for the 
specified input: 
The map images developed using TRANSFORM (Figures G-1 through G-5) indicate 
by visual inspection that the routine SOILMAP6 V1.0 is functioning correctly for all 
grid cell locations within the modeling domain. Comparison of Figures G-1 and G-2 
indicates that the re-defined soil depth classes are consistent with calculated ground 
surface slope. Figure G-2 indicates the finalized soil depth class parameters consisting 
of integer values of 1 to 6. The figure indicates that no modifications were performed 
by SOILMAP6 to the soil depth class parameters. Negative soil depth class numbers 
do not occur in the output from SOILMAP6 and therefore inconsistencies in the soil 
depth class parameters were not found in the output file created by GEOMOD4. 
Comparison of Figures G-2 and G-3 indicates that the soil depth classes were correctly 
applied by the routine in the calculation of soil thickness estimates on the scale of the 
modeling domain. Thick soils of 6 m and greater match the area of soil depth class 4, 
and thin soils of 0.5 m and less match the area of depth class 1. Figure G-4 indicates 
that the calculation of soil thickness estimates for soil depth class 1 was performed 
correctly and provides reasonable estimates of soil thickness for upland areas. 
Locations with minimum soil thickness estimates (less than 0.1 m) coincide with 
locations having high slope values (greater than 30). Locations with relatively high 
soil thickness estimates (greater than 0.35 m) for depth class 1 coincide with low and 
intermediate slope values (less than 20). Figure G-5 indicates the expected result for 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 G-5 November 2004 
soil thickness estimates in the intermediate depth classes (2, 3, 5, and 6). The soil 
thickness estimates range from approximately 0.5 to less than 6.0 m and occur for 
locations representing the transition between thin upland soils and thick basin-fill soils 
and areas mapped as having intermediate soil thickness within upland areas. 
Tables G-1 and G-2 indicate the values of input parameters obtained from 
GEOMOD4.INP (Table G-1 shows the soil depth class number and Table G-2 shows 
the rock-type number) for a subset of grid cells located in upper Solitario Canyon that 
are extracted from the input file. The input data is used by SOILMAP6 to perform a 
final consistency check of the modified soil depth class parameters relative to the 
updated rock-type parameters. Table G-3 indicates that the finalized soil depth class 
parameters included in the output file, SOILMAP6.INP are identical to the soil depth 
class parameters in the input file, GEOMDO4.INP (no modifications were performed 
by the routine). Table G-4 indicates the values of calculated ground surface slope 
obtained from the input file that are used in calculating soil thickness estimates. 
Table G-5 shows the values of soil thickness estimates obtained from the output file. 
A manual check of the soil thickness estimates indicates that the routine is functioning 
correctly. For example, for the grid cell located at 547421 easting 
and 4079643 northing, a manual check of the equation used for soil depth class 1 and a 
slope value of 22 indicates a value of 0.24 m for estimated soil thickness, and this 
agrees with the value obtained from the output file. For the grid cell located 
at 547211 easting and 4079673 northing, a manual check of the equation used for soil 
depth class 2 and a slope value of 15 indicates a value of 1.25 m for estimated soil 
thickness, which agrees with the output. 
Visual inspection of the input and output files (see partial listing of files, 
GEOMOD4.INP and SOILMAP6.INP provided under supporting information) 
indicates that the soil thickness estimates were correctly included as column 11 in the 
output file and that no unintended modifications of the input parameters and input file 
format occurred. The output file has the correct number of lines (253,597), the correct 
number of columns (49), and the position of the columns and rows is correct. 
 List limitations or assumptions to this test case and code in general: 
The limitations of the developed test case are based on the practical limitations of 
verifying modified parameter values for all 253, 597 grid cells included in the output 
file used for the developed test case. Validation of the entire output file used in the test 
case was performed as a visual evaluation of raster-based map images produced in 
TRANSFORM. Only a subset of the entire output file could be used for more detailed 
validation tests that included a manual check of the equations used by the routine. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 G-6 November 2004 
 Electronic files identified by name and location: 
Electronic files are located on CD-ROM labeled GEOINPUT-1, under the 
directory SOILMAP6, included as an Appendix to the report. The following 
electronic files are provided: 
SOILMAP6.CTL: Input file consisting of the input and output file names for 
SOILMAP6 V1.0. 
SOILMAP6.FOR: FORTRAN source code listing for the routine SOILMAP6 V1.0. 
A printout of the source code is included as part of this appendix. 
SOILMAP6.EXE: Executable file for the routine SOILMAP6 V1.0, compiled for 
INTEL processors. 
GEOMOD4.INP: Input file consisting of a column-formatted, ASCII text file with 
253,597 rows and 48 column. This file was developed as the 
output file from GEOMOD4 version (Appendix F). A partial 
printout of the first part of this file is included as part of this 
appendix. 
SOILMAP6.INP: Output file consisting of a column-formatted, ASCII text file with 
49 columns and 253,597 rows. Estimates of soil depth, in meters, 
are added as a new column between columns 10 and 11 (rock-type 
number) of the input file column order. Each row corresponds to a 
grid cell location for the geospatial parameter base grid (the UTM 
location coordinates are defined by columns 2 and 3). Columns 10 
(soil depth class) and 11 (estimated soil depth in meters) of this file 
contain the parameters modified by SOILMAP6 V1.0. A partial 
printout of the first part of this file is included as part of this 
appendix. 
30MSLOPE.HDF: TRANSFORM raster-based map image (Figure G-1) of calculated 
ground surface slope obtained from column 6 of the input file, 
GEOMOD4.INP. The file is used to perform the software routine 
validation test and is provided as supporting information. This file 
is not a part of the routine application 
SOILM6DC.HDF: TRANSFORM raster-based map image (Figure G-2) of the soil 
depth class parameters obtained from column 10 of the output file, 
SOILMAP6.INP. The file is used to perform the software routine 
validation test and is provided as supporting information. This file 
is not a part of the routine application. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 G-7 November 2004 
SOILMP61.HDF: TRANSFORM raster-based map image (Figure G-3) of the soil 
thickness estimates obtained from column 11 of the output file, 
SOILMAP6.INP. The file is used to perform the software routine 
validation test and is provided as supporting information. This file 
is not a part of the routine application. 
SOILMP62.HDF: TRANSFORM raster-based map image (Figure G-4) of the soil 
thickness estimates obtained from column 11 of the output file, 
SOILMAP6.INP. The file is used to perform the software routine 
validation test and is provided as supporting information. This file 
is not a part of the routine application. 
SOILMP63.HDF: TRANSFORM raster-based map image (Figure G-5) of the soil 
thickness estimates obtained from column 11 of the output file, 
SOILMAP6.INP. The file is used to perform the software routine 
validation test and is provided as supporting information. This file 
is not a part of the routine application. 
G6. SUPPORTING INFORMATION. (INCLUDE BACKGROUND INFORMATION, 
SUCH AS REVISION TO A PREVIOUS ROUTINE OR MACRO, OR 
EXPLANATION OF THE STEPS PERFORMED TO RUN THE SOFTWARE. 
INCLUDE LISTINGS OF ALL ELECTRONIC FILES AND CODES USED). 
 Procedure for running routine: 
To run the routine SOILMAP6 V1.0, the executable file (SOILMAP6.EXE), the 
routine control file (SOILMAP6.CTL), and the input file specified in the routine 
control file (SOILMAP6.INP) must be placed in the same directory. The routine is 
executed by typing SOILMAP6 in a DOS window, by double clicking on the file, 
SOILMAP6.EXE in the Microsoft Windows operating system, or by typing in the path 
and filename in the RUN window of the Windows NT or Windows 98 start menu. The 
input and output file names must be in the correct sequential order as specified in the 
routine control file (see example listing below). 
 Example listing of routine control file, SOILMAP6.CTL 
soilmap6.ctl (header line) 
geomod4.inp (input file name) 
soilmap6.inp (main output file name) 
soilmap6.out (auxiliary output file used for routine testing) 
 Example listing of the input file, GEOMOD4.INP (only the first 20 lines of the 
file are listed). The input parameters used by SOILMAP6 V1.0 are slope 
(column 6), soil depth class (column 10), and rock-type (column 11). 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 G-8 November 2004 
1 544661. 4087833. 36.9373 116.4985 21 238 1739 5 1 201 4 0 0 
0 0 0 0 0 2 25 25 25 24 23 21 19 16 11 11 1 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
2 544691. 4087833. 36.9373 116.4981 25 259 1750 5 1 201 4 0 0 
0 0 0 0 0 3 29 28 27 26 25 22 19 17 11 11 1 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
3 544721. 4087833. 36.9373 116.4978 26 269 1767 5 1 201 4 0 0 
0 0 0 0 0 2 25 25 26 26 24 20 18 17 10 10 1 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
4 544751. 4087833. 36.9373 116.4975 24 277 1781 5 1 201 4 0 0 
0 0 0 0 0 2 25 25 26 26 25 22 18 16 9 9 2 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
5 544781. 4087833. 36.9373 116.4971 25 284 1794 5 1 201 4 0 0 
0 0 0 0 0 2 26 26 27 26 25 23 21 17 11 11 2 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
6 544811. 4087833. 36.9373 116.4968 28 286 1807 5 1 201 4 0 0 
0 0 0 0 0 3 29 28 24 25 24 23 20 17 14 14 2 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
7 544841. 4087833. 36.9373 116.4965 28 284 1824 5 1 201 4 0 0 
0 0 0 0 0 2 25 23 15 16 15 17 15 13 11 11 1 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
8 544871. 4087833. 36.9373 116.4961 24 277 1838 5 1 201 4 0 0 
0 0 0 0 0 2 23 20 2 5 6 6 6 5 8 9 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
9 544901. 4087833. 36.9373 116.4958 16 241 1851 5 1 201 4 0 0 
0 0 0 0 0 0 5 4 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
10 544931. 4087833. 36.9373 116.4955 13 169 1854 5 1 202 4 0 0 
0 0 0 0 0 0 5 4 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
11 544961. 4087833. 36.9373 116.4951 21 127 1846 5 1 202 4 0 0 
0 0 0 0 0 0 5 4 0 0 0 0 0 0 0 0 2 1 0 1 1 1 2 1 14 12 
0 0 0 0 0 0 0 0 
12 544991. 4087833. 36.9373 116.4948 20 128 1836 5 1 202 4 0 0 
0 0 0 0 0 0 8 7 1 1 0 0 0 0 0 0 2 4 4 4 4 7 9 9 18 15 
0 0 0 0 0 0 0 0 
13 545021. 4087833. 36.9373 116.4944 16 166 1829 5 1 202 4 0 0 
0 0 0 0 0 1 14 13 8 3 1 0 0 0 0 0 2 5 6 6 6 7 8 11 15 13 
0 0 0 0 0 0 0 0 
14 545051. 4087833. 36.9373 116.4941 19 220 1833 5 1 202 4 0 0 
0 0 0 0 0 2 18 16 8 6 2 1 0 0 0 0 0 3 4 4 3 3 3 3 9 7 
0 0 0 0 0 0 0 0 
15 545081. 4087833. 36.9373 116.4938 22 232 1843 5 1 201 4 0 0 
0 0 0 0 0 1 16 14 3 2 0 0 0 0 0 0 0 0 1 2 1 1 1 1 4 3 
0 0 0 0 0 0 0 0 
16 545111. 4087833. 36.9373 116.4934 20 224 1852 5 1 201 4 0 0 
0 0 0 0 0 1 11 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
17 545141. 4087833. 36.9373 116.4931 20 204 1858 5 1 201 4 0 0 
0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
18 545171. 4087833. 36.9373 116.4928 21 188 1861 5 1 201 4 0 0 
0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
19 545201. 4087833. 36.9373 116.4924 23 178 1862 5 1 201 4 0 0 
0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 
20 545231. 4087833. 36.9373 116.4921 23 162 1861 5 1 201 4 0 0 
0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 
0 0 0 0 0 0 0 0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 G-9 November 2004 
 Example listing of the output file, SOILMAP6.INP (only the first 20 lines of the 
file are listed). The modified output consists of the addition of a new column 
consisting of the estimated soil thickness, in meters (column 11). 
1 544661. 4087833. 36.9373 116.4985 21 238 1739 5 1 0.26 201 4 
0 0 0 0 0 0 0 2 25 25 25 24 23 21 19 16 11 11 1 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 
2 544691. 4087833. 36.9373 116.4981 25 259 1750 5 1 0.20 201 4 
0 0 0 0 0 0 0 3 29 28 27 26 25 22 19 17 11 11 1 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 
3 544721. 4087833. 36.9373 116.4978 26 269 1767 5 1 0.19 201 4 
0 0 0 0 0 0 0 2 25 25 26 26 24 20 18 17 10 10 1 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 
4 544751. 4087833. 36.9373 116.4975 24 277 1781 5 1 0.22 201 4 
0 0 0 0 0 0 0 2 25 25 26 26 25 22 18 16 9 9 2 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 
5 544781. 4087833. 36.9373 116.4971 25 284 1794 5 1 0.20 201 4 
0 0 0 0 0 0 0 2 26 26 27 26 25 23 21 17 11 11 2 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 
6 544811. 4087833. 36.9373 116.4968 28 286 1807 5 1 0.17 201 4 
0 0 0 0 0 0 0 3 29 28 24 25 24 23 20 17 14 14 2 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 
7 544841. 4087833. 36.9373 116.4965 28 284 1824 5 1 0.17 201 4 
0 0 0 0 0 0 0 2 25 23 15 16 15 17 15 13 11 11 1 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 
8 544871. 4087833. 36.9373 116.4961 24 277 1838 5 1 0.22 201 4 
0 0 0 0 0 0 0 2 23 20 2 5 6 6 6 5 8 9 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 
9 544901. 4087833. 36.9373 116.4958 16 241 1851 5 1 0.32 201 4 
0 0 0 0 0 0 0 0 5 4 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 
10 544931. 4087833. 36.9373 116.4955 13 169 1854 5 1 0.36 202 4 
0 0 0 0 0 0 0 0 5 4 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 
11 544961. 4087833. 36.9373 116.4951 21 127 1846 5 1 0.26 202 4 
0 0 0 0 0 0 0 0 5 4 0 0 0 0 0 0 0 0 2 1 0 1 1 1 2 1 
14 12 0 0 0 0 0 0 0 0 
12 544991. 4087833. 36.9373 116.4948 20 128 1836 5 1 0.27 202 4 
0 0 0 0 0 0 0 0 8 7 1 1 0 0 0 0 0 0 2 4 4 4 4 7 9 9 
18 15 0 0 0 0 0 0 0 0 
13 545021. 4087833. 36.9373 116.4944 16 166 1829 5 1 0.32 202 4 
0 0 0 0 0 0 0 1 14 13 8 3 1 0 0 0 0 0 2 5 6 6 6 7 8 11 
15 13 0 0 0 0 0 0 0 0 
14 545051. 4087833. 36.9373 116.4941 19 220 1833 5 1 0.28 202 4 
0 0 0 0 0 0 0 2 18 16 8 6 2 1 0 0 0 0 0 3 4 4 3 3 3 3 
9 7 0 0 0 0 0 0 0 0 
15 545081. 4087833. 36.9373 116.4938 22 232 1843 5 1 0.24 201 4 
0 0 0 0 0 0 0 1 16 14 3 2 0 0 0 0 0 0 0 0 1 2 1 1 1 1 
4 3 0 0 0 0 0 0 0 0 
16 545111. 4087833. 36.9373 116.4934 20 224 1852 5 1 0.27 201 4 
0 0 0 0 0 0 0 1 11 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 
17 545141. 4087833. 36.9373 116.4931 20 204 1858 5 1 0.27 201 4 
0 0 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 
18 545171. 4087833. 36.9373 116.4928 21 188 1861 5 1 0.26 201 4 
0 0 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 
19 545201. 4087833. 36.9373 116.4924 23 178 1862 5 1 0.23 201 4 
0 0 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 G-10 November 2004 
20 545231. 4087833. 36.9373 116.4921 23 162 1861 5 1 0.23 201 4 
0 0 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
1 0 0 0 0 0 0 0 0 0 
 Figures used as part of the routine test plan: 
546000 548667 551333 554000 
4087500 
4085000 
4082500 
4080000 
4077500 
4075000 
4072500 
4070000 
4067500 
UTM easting (meters) 
UTM northing (meters) 
0 5 10 15 20 25 30 35 40 45 
_30msite_inp_6: ground surface slope (degrees) 
Output DTN: GS000308311221.004. 
Figure G-1. TRANSFORM Map Image (file 30MSLOPE.HDF) Created Using the Input Parameter 
Ground Surface Slope from Column 6 of the Input File, GEOMOD4.INP
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 G-11 November 2004 
545000 547500 550000 552500 555000 
4087500 
4085000 
4082500 
4080000 
4077500 
4075000 
4072500 
4070000 
4067500 
UTM easting (meters) 
UTM northing (meters) 
1 2 3 4 5 6 
soilmap6_inp_10: output soil depth class 
Output DTN: GS000308311221.004. 
NOTE: Figure shows integer values ranging from 1 to 6. 
Figure G-2. TRANSFORM Map Image (file SOILM6DC.HDF) of the Finalized Soil Depth Class Obtained 
from Column 10 of the Output file, SOILMAP6.INP 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 G-12 November 2004 
546000 548667 551333 554000 
4087500 
4085000 
4082500 
4080000 
4077500 
4075000 
4072500 
4070000 
4067500 
UTM easting (meters) 
UTM northing (meters) 
1 2 3 4 5 
soilmap6_inp_11: output soil depth (meters) 
Output DTN: GS000308311221.004. 
NOTE: Figure shows the full range of estimated soil thickness of 0.01 to 6 m (a soil thickness of 6 m represents 
locations where actual soil thickness is 6 m and greater) . 
Figure G-3. TRANSFORM Map Image (file SOILMP61.HDF) Created Using the Estimated Soil Thickness 
from Column 11 of the Output File, SOILMAP6.INP 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 G-13 November 2004 
546000 548667 551333 554000 
4087500 
4085000 
4082500 
4080000 
4077500 
4075000 
4072500 
4070000 
4067500 
UTM easting (meters) 
UTM northing (meters) 
0.05 0.15 0.25 0.35 0.45 
soilmap6_inp_11: output soil depth (meters) 
Output DTN: GS000308311221.004. 
NOTE: Figure shows estimated soil thickness for locations with thin soils. 
Figure G-4. TRANSFORM Map Image (file SOILMP62.HDF) Created Using the Estimated Soil 
Thickness from Column 11 of the Output File, SOILMAP6.INP 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 G-14 November 2004 
546000 548667 551333 554000 
4087500 
4085000 
4082500 
4080000 
4077500 
4075000 
4072500 
4070000 
4067500 
UTM easting (meters) 
UTM northing (meters) 
1.0 2.0 3.0 4.0 5.0 
soilmap6_inp_11: output soil depth (meters) 
Output DTN: GS000308311221.004. 
NOTE: Figure shows estimated soil thickness for locations with intermediate soil thickness. 
Figure G-5. TRANSFORM Map Image (file SOILMP63.HDF) Created Using the Estimated Soil 
Thickness from Column 11 of the Output File, SOILMAP6.INP 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 G-15 November 2004 
 Tables used as part of the routine test plan: 
Table G-1. Soil Depth Classes Obtained from Column 10 of the Input File, GEOMOD4.INP 
UTM Easting Grid Coordinates (meters) UTM Northing 
Grid 
Coordinates 
(meters) 547211 547241 547271 547301 547331 547361 547391 547421 
4079703 5 5 4 4 5 2 1 1 
4079673 2 5 5 4 5 2 1 1 
4079643 1 2 5 5 5 2 1 1 
4079613 1 1 2 5 5 1 1 1 
4079583 1 1 2 5 5 1 1 1 
4079553 1 1 2 5 3 1 1 1 
4079523 1 1 3 5 3 1 1 1 
4079493 1 1 3 5 1 1 1 1 
4079463 1 1 5 3 1 1 1 1 
4079433 1 3 5 3 1 1 1 1 
4079403 1 3 5 3 1 1 1 1 
4079373 3 3 5 3 1 1 1 1 
4079343 3 5 5 3 1 1 3 3 
4079313 5 5 5 6 3 3 3 3 
4079283 5 4 5 6 6 6 3 1 
4079253 4 4 5 6 6 6 6 3 
4079223 4 4 5 6 6 3 3 3 
4079193 4 4 5 6 3 1 1 1 
4079163 4 4 5 6 3 1 1 1 
4079133 4 4 5 3 1 1 1 1 
4079103 4 5 5 1 1 1 1 1 
4079073 4 5 3 3 1 1 1 1 
4079043 4 5 3 3 1 1 1 1 
4079013 4 5 1 1 1 1 1 1 
4078983 4 5 1 1 1 1 1 1 
4078953 4 5 1 1 1 1 1 1 
4078923 4 5 2 1 1 1 1 1 
4078893 4 5 1 1 1 1 1 1 
4078863 4 5 2 1 1 1 1 1 
4078833 4 5 2 1 1 1 1 1 
4078803 4 5 2 2 1 1 1 1 
4078773 4 5 2 2 1 1 1 1 
4078743 5 5 2 1 1 1 1 1 
Output DTN: GS000308311221.004. 
NOTE: Table shows integer values ranging from 1 to 6 for a subset of grid cells located in upper Solitario 
Canyon. 
UTM=Universal Transverse Mercator 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 G-16 November 2004 
Table G-2. Rock-type Numbers Obtained from Column 11 of the Input File, GEOMOD4.INP 
UTM Easting Grid Coordinates (meters) UTM Northing 
Grid 
Coordinates 
(meters) 547211 547241 547271 547301 547331 547361 547391 547421 
4079703 319 19 301 301 30 31 320 319 
4079673 19 19 19 301 31 31 320 319 
4079643 314 19 19 18 31 31 320 319 
4079613 314 314 18 18 31 321 320 320 
4079583 314 314 17 18 321 321 320 320 
4079553 314 314 17 17 313 321 321 320 
4079523 314 314 17 17 313 321 320 320 
4079493 314 314 17 17 313 321 320 320 
4079463 314 314 314 313 313 321 320 320 
4079433 314 17 314 313 320 321 320 320 
4079403 314 17 17 313 320 321 320 320 
4079373 17 17 17 313 320 321 320 320 
4079343 17 17 17 313 320 321 321 320 
4079313 314 17 313 313 320 321 321 320 
4079283 17 301 313 313 320 321 321 320 
4079253 301 301 313 313 320 321 321 324 
4079223 301 301 313 313 320 321 321 324 
4079193 301 301 313 313 320 321 321 324 
4079163 301 301 313 313 319 321 321 324 
4079133 301 301 313 313 314 319 321 324 
4079103 301 313 313 313 314 319 319 324 
4079073 301 313 313 313 314 319 319 324 
4079043 301 313 313 313 314 319 319 324 
4079013 301 313 313 313 314 319 319 325 
4078983 301 313 313 313 314 314 319 325 
4078953 301 313 313 314 314 313 323 325 
4078923 301 313 16 314 313 311 323 325 
4078893 301 16 313 314 314 313 325 325 
4078863 301 313 30 314 314 314 325 324 
4078833 301 30 30 314 314 314 325 324 
4078803 301 30 30 28 315 315 325 324 
4078773 302 30 30 28 315 319 325 324 
4078743 30 30 30 314 314 319 325 324 
Output DTN: GS000308311221.004. 
NOTE: Table shows integer values ranging from 16 to 325 for a subset of grid cells located in upper Solitario 
Canyon. 
UTM=Universal Transverse Mercator 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 G-17 November 2004 
Table G-3. Finalized Soil Depth Classes Generated by SOILMAP6 and Included in Column 10 of the 
Output File, SOILMAP6.INP 
UTM Easting Grid Coordinates (meters) UTM Northing 
Grid 
Coordinates 
(meters) 547211 547241 547271 547301 547331 547361 547391 547421 
4079703 5 5 4 4 5 2 1 1 
4079673 2 5 5 4 5 2 1 1 
4079643 1 2 5 5 5 2 1 1 
4079613 1 1 2 5 5 1 1 1 
4079583 1 1 2 5 5 1 1 1 
4079553 1 1 2 5 3 1 1 1 
4079523 1 1 3 5 3 1 1 1 
4079493 1 1 3 5 1 1 1 1 
4079463 1 1 5 3 1 1 1 1 
4079433 1 3 5 3 1 1 1 1 
4079403 1 3 5 3 1 1 1 1 
4079373 3 3 5 3 1 1 1 1 
4079343 3 5 5 3 1 1 3 3 
4079313 5 5 5 6 3 3 3 3 
4079283 5 4 5 6 6 6 3 1 
4079253 4 4 5 6 6 6 6 3 
4079223 4 4 5 6 6 3 3 3 
4079193 4 4 5 6 3 1 1 1 
4079163 4 4 5 6 3 1 1 1 
4079133 4 4 5 3 1 1 1 1 
4079103 4 5 5 1 1 1 1 1 
4079073 4 5 3 3 1 1 1 1 
4079043 4 5 3 3 1 1 1 1 
4079013 4 5 1 1 1 1 1 1 
4078983 4 5 1 1 1 1 1 1 
4078953 4 5 1 1 1 1 1 1 
4078923 4 5 2 1 1 1 1 1 
4078893 4 5 1 1 1 1 1 1 
4078863 4 5 2 1 1 1 1 1 
4078833 4 5 2 1 1 1 1 1 
4078803 4 5 2 2 1 1 1 1 
4078773 4 5 2 2 1 1 1 1 
4078743 5 5 2 1 1 1 1 1 
Output DTN: GS000308311221.004. 
NOTE: Table shows values ranging from 1 to 6 for a subset of grid cells located in upper Solitario Canyon. 
UTM=Universal Transverse Mercator 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 G-18 November 2004 
Table G-4. Calculated Ground Surface Slope Obtained from Column 6 of the Input File, 
GEOMOD4.INP 
UTM Easting Grid Coordinates (meters) UTM Northing 
Grid 
Coordinates 
(meters) 547211 547241 547271 547301 547331 547361 547391 547421 
4079703 10 4 4 4 6 12 17 20 
4079673 15 7 3 5 6 13 19 21 
4079643 16 10 5 5 7 13 19 22 
4079613 14 11 7 4 5 13 18 22 
4079583 14 11 7 4 4 12 17 21 
4079553 14 11 7 4 5 11 16 19 
4079523 14 9 5 4 6 13 17 19 
4079493 13 8 4 4 7 14 17 19 
4079463 11 6 3 3 8 14 17 19 
4079433 9 5 3 4 9 14 16 18 
4079403 7 3 2 4 10 14 15 17 
4079373 6 3 3 5 10 14 15 17 
4079343 5 3 4 6 9 13 15 18 
4079313 4 3 4 7 9 12 15 19 
4079283 3 3 5 7 10 13 16 19 
4079253 3 3 5 7 10 14 16 18 
4079223 3 3 5 7 10 14 17 18 
4079193 3 3 5 8 10 13 16 18 
4079163 2 3 5 8 11 13 15 17 
4079133 2 3 5 9 12 13 14 17 
4079103 3 4 6 10 12 13 14 17 
4079073 3 4 8 10 12 13 14 16 
4079043 3 5 9 11 12 13 14 15 
4079013 3 6 10 12 12 13 14 16 
4078983 4 7 10 12 12 12 14 16 
4078953 4 8 12 12 12 14 15 16 
4078923 5 10 13 12 13 14 14 16 
4078893 5 10 13 13 13 13 14 17 
4078863 5 10 13 14 14 13 14 18 
4078833 6 11 13 14 14 13 14 18 
4078803 7 11 13 14 14 13 14 18 
4078773 8 11 13 13 13 13 14 18 
4078743 8 12 14 12 12 13 14 18 
Ouptut DTN: GS000308311221.004. 
NOTE: Table shows values ranging from 1 to 345 for a subset of grid cells located in upper Solitario Canyon. 
UTM=Universal Transverse Mercator 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 G-19 November 2004 
Table G-5. Soil Thickness Estimates Obtained from Column 11 of the Output File, SOILMAP6.INP. (For 
The Indicated Subset Of Grid Cells Located In Upper Solitario Canyon.) 
UTM Easting Grid Coordinates (meters) UTM Northing 
Grid 
Coordinates 
(meters) 547211 547241 547271 547301 547331 547361 547391 547421 
4079703 4.4 5.36 6 6 5.04 1.4 0.31 0.27 
4079673 1.25 4.88 5.52 6 5.04 1.35 0.28 0.26 
4079643 0.32 1.5 5.2 5.2 4.88 1.35 0.28 0.24 
4079613 0.35 0.39 1.65 5.36 5.2 0.36 0.3 0.24 
4079583 0.35 0.39 1.65 5.36 5.36 0.37 0.31 0.26 
4079553 0.35 0.39 1.65 5.36 5.2 0.39 0.32 0.28 
4079523 0.35 0.37 5.2 5.36 5.04 0.36 0.31 0.28 
4079493 0.36 0.34 5.36 5.36 0.31 0.35 0.31 0.28 
4079463 0.39 0.28 5.52 5.52 0.34 0.35 0.31 0.28 
4079433 0.37 5.2 5.52 5.36 0.37 0.35 0.32 0.3 
4079403 0.31 5.52 5.68 5.36 0.4 0.35 0.34 0.31 
4079373 5.04 5.52 5.52 5.2 0.4 0.35 0.34 0.31 
4079343 5.2 5.52 5.36 5.04 0.37 0.36 3.6 3.12 
4079313 5.36 5.52 5.36 4.88 4.56 4.08 3.6 2.96 
4079283 5.52 6 5.2 4.88 4.4 3.92 3.44 0.28 
4079253 6 6 5.2 4.88 4.4 3.76 3.44 3.12 
4079223 6 6 5.2 4.88 4.4 3.76 3.28 3.12 
4079193 6 6 5.2 4.72 4.4 0.36 0.32 0.3 
4079163 6 6 5.2 4.72 4.24 0.36 0.34 0.31 
4079133 6 6 5.2 4.56 0.37 0.36 0.35 0.31 
4079103 6 5.36 5.04 0.4 0.37 0.36 0.35 0.31 
4079073 6 5.36 4.72 4.4 0.37 0.36 0.35 0.32 
4079043 6 5.2 4.56 4.24 0.37 0.36 0.35 0.34 
4079013 6 5.04 0.4 0.37 0.37 0.36 0.35 0.32 
4078983 6 4.88 0.4 0.37 0.37 0.37 0.35 0.32 
4078953 6 4.72 0.37 0.37 0.37 0.35 0.34 0.32 
4078923 6 4.4 1.35 0.37 0.36 0.35 0.35 0.32 
4078893 6 4.4 0.36 0.36 0.36 0.36 0.35 0.31 
4078863 6 4.4 1.35 0.35 0.35 0.36 0.35 0.3 
4078833 6 4.24 1.35 0.35 0.35 0.36 0.35 0.3 
4078803 6 4.24 1.35 1.3 0.35 0.36 0.35 0.3 
4078773 6 4.24 1.35 1.35 0.36 0.36 0.35 0.3 
4078743 4.72 4.08 1.3 0.37 0.37 0.36 0.35 0.3 
Output DTN: GS000308311221.004. 
NOTE: Table shows estimated soil thickness ranging from 0.24 m for grid cells in soil depth class 1 with a slope 
of 22 degrees to 6 m and greater for grid cells in soil depth class 4. 
UTM=Universal Transverse Mercator 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 G-20 November 2004 
 Listing of source code for routine SOILMAP6 V1.0: 
program soilmap6 
c version 1.0 
c 
c Routine to estimate soil thickness (in meters) 
c using an empirical linear function based on 
c the updated soil depth class parameter and the 
c the calculated ground surface slope obtained from 
c from the input file GEOMOD4.INP. 
c 
c This is the fourth routine in a sequence of pre-processing 
c routines used to develop the geospatial input files used 
c for the net infiltration modeling program, INFIL version 2.0. 
c 
c SOILMAP6 performs two functions: 
c The first function is a final adjustment of the soil depth 
c class parameters defined by GEOMOD4 based on a check for 
c the occurrence of inconsistencies between the updated soil 
c depth class parameters and the updated rock-type parameters. 
c A final set of depth class parameters is created to flag 
c specific combinations of soil depth class and rock-types, 
c and the modified depth class parameters are included in the 
c output file SOILMAP6.INP. 
c 
c The second function consists of an estimation of 
c soil thickness (in meters) based on the finalized depth class 
c parameters and the calculated ground surface slope. The estimates 
c are obtained using a simple empirical linear function 
c specific to each depth class. 
c 
c The input and output files are column-formatted 
c ASCII text files consisting of 253,597 rows (for 
c 253,597 grid cell locations). The input file consists 
c of 48 columns where each column corresponds to a specific geospatial 
c parameter according to the following order: 
c 
c column 1: LOCID (grid location number) 
c column 2: X2 (UTM easting coordinate, in meters) 
c column 3: Y2 (UTM northing coordinate, in meters) 
c column 4: LAT (latitude for X coordinate, in decimal degrees) 
c column 5: LON (longitude for Y coordinate, in decimal degress) 
c column 6: SL (ground surface slope, in degress) 
c column 7: ASP (ground surface aspect, in degrees) 
c column 8: ELEV (ground surface elevation, in meters) 
c column 9: SOILTYPE (soil type identification number) 
c column 10: DEPTHCLASS (soil depth class identification number) 
c column 11: ROCKTYPE (rock type identification number) 
c column 12: TOPOID (topographic position identification number) 
c column 13: RIDGE(1) (1st blocking ridge angle) 
c   
c   
c column 48 RIDGE(36) (last blocking ridge angle) 
c 
c 
c The output file consists of an additional column following 
c the depth class parameter (column 10) and consists of the estimated 
c soil thickness, in meters. 
c 
c This routine was written by 
c Joe Hevesi, U.S. Geological Survey, WRD 
c Placer Hall, 6000 J Street 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 G-21 November 2004 
c Sacramento, CA, 
c 
c---------------------------------------------------------------------72 
c 
integer n,geo1,rocktype,soiltype,depthclass,topoid 
integer sl,asp,elev 
integer iopt 
double precision x1,x2,y1,y2 
real lat,lon,depth 
integer ridge(40) 
character*20 inpfile,newsoil,outfile 
character*80 header 
character*10,legend 
5 format(A) 
open(unit=7,file=soilmap6.ctl) 
read(7,5) header 
read(7,5) inpfile 
read(7,5) newsoil 
read(7,5) outfile 
c 
open(unit=9,file=inpfile) 
open(unit=10,file=newsoil) 
open(unit=11,file=outfile) 
c 
c 
n2 = 1 
200 read(9,*,END=900) locid,x2,y2,lat,lon, 
1 sl,asp,elev,SOILTYPE,depthclass,ROCKTYPE, 
2 topoid,(ridge(j), j=1,36) 
c 
depth = -.99 
c 
c---- depthclass 1 = shallow upland sopils 
if(depthclass.eq.1) then 
c 
c----- if shallow soil overlies alluvium or colluvium, 
c change to depthclass 6 and flag using - 
c 
if((rocktype.eq.0).or. 
2 (rocktype.eq.1).or. 
3 (rocktype.eq.204).or. 
4 (rocktype.eq.301).or. 
5 (rocktype.eq.302)) then 
c 
depthclass = -1 
depth = 6 
c 
write(11,215) x2,y2,soiltype,rocktype,depthclass, 
1 sl,depth 
215 format(1x,f10.1,f11.1,3i5,1x,i5,f8.4) 
c 
else 
c 
c----- use new slope model for upland soil (depthclass 1) 
c 
if(sl.le.10) depth = 0.03*sl+0.1 
if(sl.gt.10) depth = 0.013*(10-sl)+0.4 
if(sl.gt.40) depth = 0.01 
write(11,215) x2,y2,soiltype,rocktype,depthclass, 
1 sl,depth 
c 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 G-22 November 2004 
endif 
c 
c---- depthclass 2 = colluvium (footslopes) 
else if(depthclass.eq.2) then 
c 
if((rocktype.eq.0).or. 
2 (rocktype.eq.1).or. 
3 (rocktype.eq.204).or. 
4 (rocktype.eq.301).or. 
5 (rocktype.eq.302)) then 
c 
depthclass = -2 
depth = 6 
write(11,215) x2,y2,soiltype,rocktype,depthclass, 
1 sl,depth 
c 
else 
depth = 0.4 
if(sl.le.32) depth = 2-(.05*sl) 
write(11,215) x2,y2,soiltype,rocktype,depthclass, 
1 sl,depth 
endif 
c 
c---- depthclass 3 = initial buffer zone 
else if(depthclass.eq.3) then 
c 
if((rocktype.eq.0).or. 
2 (rocktype.eq.1).or. 
3 (rocktype.eq.204).or. 
4 (rocktype.eq.301).or. 
5 (rocktype.eq.302)) then 
c 
depthclass = -3 
depth = 6 
write(11,215) x2,y2,soiltype,rocktype,depthclass, 
1 sl,depth 
c 
else 
depth = 2.0 
if(sl.le.25) depth = 6-(0.16*sl) 
write(11,215) x2,y2,soiltype,rocktype,depthclass, 
1 sl,depth 
c 
endif 
c 
c 
c---- depthclass 5 = 2nd buffer zone 
else if(depthclass.eq.5) then 
c 
if((rocktype.eq.0).or. 
2 (rocktype.eq.1).or. 
3 (rocktype.eq.204).or. 
4 (rocktype.eq.301).or. 
5 (rocktype.eq.302)) then 
c 
depthclass = -5 
depth = 6 
write(11,215) x2,y2,soiltype,rocktype,depthclass, 
1 sl,depth 
c 
else 
depth = 2.0 
if(sl.le.25) depth = 6-(0.16*sl) 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 G-23 November 2004 
write(11,215) x2,y2,soiltype,rocktype,depthclass, 
1 sl,depth 
c 
endif 
c 
c 
c---- depthclass 6 = bedrock geology within buffer zone 
else if(depthclass.eq.6) then 
c 
if((rocktype.eq.0).or. 
2 (rocktype.eq.1).or. 
3 (rocktype.eq.204).or. 
4 (rocktype.eq.301).or. 
5 (rocktype.eq.302)) then 
c 
depthclass = -6 
depth = 6 
write(11,215) x2,y2,soiltype,rocktype,depthclass, 
1 sl,depth 
c 
else 
depth = 2.0 
if(sl.le.25) depth = 6-(0.16*sl) 
write(11,215) x2,y2,soiltype,rocktype,depthclass, 
1 sl,depth 
c 
endif 
c 
c 
c---- depthclass 4 = deep alluvium 
else if(depthclass.eq.4) then 
if((rocktype.ne.0).and. 
1 (rocktype.ne.1).and. 
2 (rocktype.ne.204).and. 
3 (rocktype.ne.301).and. 
4 (rocktype.ne.302)) then 
depthclass = -4 
depth = 2.0 
if(sl.le.25) depth = 6-(0.16*sl) 
write(11,215) x2,y2,soiltype,rocktype,depthclass, 
1 sl,depth 
c 
else 
depth = 6 
write(11,215) x2,y2,soiltype,rocktype,depthclass, 
1 sl,depth 
c 
endif 
c 
endif 
c 
c 
write(10,205) locid,x2,y2,lat,lon,sl,asp,elev, 
1 soiltype,depthclass,depth,rocktype,topoid, 
2 (ridge(j), j=1,36) 
205 format(i7,f8.0,f9.0,f8.4,f9.4,i4,i4,i6,i3,i3,f6.2,i4,i3, 
1 36i3) 
c 
if(n2.eq.1000) then 
write(*,*) locid 
n2 = 0 
endif 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 G-24 November 2004 
c 
n2 = n2 + 1 
goto 200 
c 
900 continue 
close(10) 
close(11) 
stop 
end 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 November 2004 
APPENDIX H 
DEVELOPMENT OF FLOW ROUTING PARAMETERS USING SORTGRD1 V1.0 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 November 2004 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 H-1 November 2004 
H1. NAME OF ROUTINE/MACRO WITH VERSION/OS/HARDWARE 
ENVIRONMENT AND USER INFORMATION 
Name of software routine: SORTGRD1 V1.0 
OS and hardware environment: Windows NT 4.0, Pentium Pro PC 
Software Users: Joseph Hevesi (916-278-3274), Alan Flint (916-278-3221) 
User Location: U.S. Geological Survey, Room 5000E, Placer Hall, 6000 J Street, Sacramento, 
CA 95819-6129 
Computer Identification: SM321276 with a USGS specific hostname P720dcasr 
H2. NAME OF COMMERCIAL SOFTWARE WITH VERSION/OS/HARDWARE 
USED TO DEVELOP ROUTINE/MACRO 
The source code for SORTGRD1 V1.0 was developed using the standard FORTRAN77 
programming language. The source code was written, debugged, and compiled (for PC platforms 
using INTEL processors) using DIGITAL Visual Fortran with Microsoft Developer Studio, V. 
5.0. 
H3. GENERAL DESCRIPTION OF ROUTINE/MACRO 
SORTGRD1 V1.0 is a FORTRAN77 routine developed in accordance with AP-SI.1Q, 
specifically for the analysis/model activity documented in this report. The routine source code 
(SORTGRD1.FOR), compiled executable file (SORTGRD1.EXE), routine control file 
(SORTGRD1.CTL), input and output files, validation test files, and a copy of this appendix, are 
located under the directory SORTGRD1 on a CD-ROM labeled GEOINPUT 2. The routine 
source code, control file, and the input and output files are ASCII text files that can be read using 
any standard ASCII text editor and can be imported into standard word processing or spreadsheet 
applications such as Microsoft WORD and EXCEL. The executable file can be used to run 
SORTGRD1 V1.0 on any PC with an INTEL processor (with adequate RAM). 
All input parameters used by SORTGRD1 V1.0 and the parameters calculated by SORTGRD1 
that are included in the developed output file, 30MGRD01.SR1, are used for the development of 
the geospatial parameter input file for INFIL V2.0 (USGS 2000 [DIRS 139422]). The file, 
30MGRD01.SR1 is used directly as input to the routines CHNNET16 V1.0 and 
VEGCOV01 V1.0. 
H4. TEST PLAN FOR THE SOFTWARE ROUTINE SORTGRD1 V1.0 
 Explain whether this is a routine or macro and describe what it does: 
SORTGRD1 V1.0 is the fifth routine applied in a sequence of FORTRAN 77 routines 
that are used in the development of the geospatial parameter input file for INFIL V2.0. 
The routines primary function is an application of a basic bubble-sort algorithm to 
perform an ascending sort (highest values at the top of the list, lowest values at the 
bottom) of the ground surface elevation values included in the developed geospatial 
parameter input file, SOILMAP6.INP (which is the output file from SOILMAP6 V1.0). 
The preprocessing application performed by SORTGRD1 V1.0 is the initial phase of 
the preprocessing applications required to develop surface water flow routing 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 H-2 November 2004 
parameters and to extract watershed-modeling domains from the geospatial parameter 
base grid. The output file created by SORTGRD1 V1.0 is 30MGRD01.SR1, which is 
supplied directly as input to the routines CHNNET16 V1.0 and VEGCOV01 V1.0. 
The sorting function performed by SORTGRD1 V1.0 moves the entire row of the 
input file, SOILMAP6.INP during the sorting process. Thus, the sorting performs a 
shuffling of the input deck, one row at a time, until the row or grid cell sequence of the 
entire input deck has been re-organized based on the ascending order of elevation 
values. Because the entire line is moved as a unit during the re-ordering, the 
raster-based grid geometry defined by the UTM coordinates for each grid cell is 
maintained for all geospatial parameters, with the exception of the grid cell number. 
SORTGRD1 modifies the grid cell number according to the results of the sorting. The 
new grid cell number is the new row sequence number (the grid cell number for the 
top row is 1 and the grid cell number for the bottom row is 253,597). 
A second function performed by SORTGRD1 is the addition of the raster-grid row and 
column indices to the output file. These are created by SORTGRD1 using the UTM 
grid cell easting and northing coordinates obtained from the input file, 
SOILMAP6.INP. The row and column indices are used by CHNNET16 V1.0 and by 
INFIL V2.0 to increase the efficiency of the flow routing algorithm. 
A third function performed by SORTGRD1 V1.0 is the re-positioning of the column 
sequence and the addition of two columns to the output file that identify the column 
position for the vegetation parameters using a place holder value of -99. 
 Listing of FORTRAN77 Source code: 
A listing of the FORTRAN77 source code for the routine SORTGRD1 V1.0 along 
with examples of the input and output files used in the test plan are included at the end 
of this appendix. 
 Description of test(s): 
To test that the first function performed by the routine is working properly, a selection 
of the input and output from the routine is printed out and visually inspected. The test 
involves determining whether the sequence of rows in the output file is sorted 
correctly according to a descending sequence of elevations. To satisfy the test criteria, 
the highest elevation value from the input file must be in the first row of the output file 
and the lowest elevation value from the input file must be in the last row of the output 
file. 
To test the second function of generating row and column grid cell indices, map 
images of the row and column indices included in the output file (columns 6 and 7) are 
created in TRANSFORM and visually inspected. To satisfy the test criteria, the map 
image of the row index must show a north-south linear increase of row indices 
from 1 to 691, and the map image of the column index must show a west-east linear 
increase of column indices from 1 to 367. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 H-3 November 2004 
To test the third function performed by the SORTGRD1 V1.0, the format and column 
ordering of the output files is visually inspected. To satisfy the test criteria, the output 
file must consist of 253,597 rows and 53 columns. The modified grid cell number 
must be in column 1, the new row and column indices must be in columns 6 and 7, and 
the slope and aspect parameters must be re-positioned to columns 9 and 10. The 99 
placeholder values for the vegetation parameters must be in columns 16 and 17. 
 Specify the range of input values to be used and why the range is valid: 
SOILMAP6.INP is the input file used by SORTGRD1 V1.0. The file is specified in the 
file, SORTGRD1.CTL, which is the routine control file for SORTGRD1 and is 
required for program execution. SOILMAP6.INP is a column-formatted ASCII file 
consisting of 253,597 rows and 49 columns (Appendix G). The parameters provided 
by SOILMAP6.INP and used or modified by SORTGRD1 are elevation (values are in 
meters, from 918 to 1969), UTM easting coordinate (from 544,661 to 555,641 m), 
UTM northing coordinate values (4,067,133 to 4,087,833 m), and the grid cell number 
(integers from 1 to 253,597). 
H5. TEST RESULTS 
 Output from test: 
The output for the test case is the main output file, 30MGRD01.SR1 generated by 
SORTGRD1. The output file is used to generate raster-format map image files in 
TRANSFORM, which are used only as a part of the validation test plan (the map 
image files are not required as part of the preprocessing procedure for developing the 
input used by INFIL V2.0). 
 Description of how the testing shows that the results are correct for the 
specified input: 
A comparison of the input and output files shows the unsorted row-sequence of 
elevation values in the input file and the sorted (descending order) row-sequence of 
elevation values in the output file. The printout of the first 20 lines of the output file 
shows the first line of the file has the highest elevation and the last line of the file has 
the lowest elevation (see file printouts for SOILMAP6.INP and 30MGRD01.SR1 
provided under section 6 as supporting information). These results indicate that the test 
criteria for the first function are satisfied. 
The TRANSFORM map image of the row index obtained from the output file 
indicates the correct north-to-south linearly increasing row sequence of 1 to 691. The 
TRANSFORM map image of the column index obtained from the output file indicates 
the correct west-to-east linearly increasing column sequence of 1 to 367). These results 
indicate that the test criteria for the second function are satisfied. 
Visual inspection of the input and output files (see printouts in section 6) indicates that 
the row and column indices were correctly included as columns 6 and 7 in the output 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 H-4 November 2004 
file, the 99 place holder values for the vegetation parameters were correctly added as 
columns 16 and 17, and the slope and aspect parameters were correctly re-positioned 
to columns 9 and 10. Only the intended modifications of the input parameters and 
input file format are observed. The output file has the correct number of lines 
(253,597), the correct number of columns (53), and the sequencing of columns and 
rows is correct. These results indicate that the test criteria for the third function are 
satisfied. 
 List limitations or assumptions to this test case and code in general: 
The limitations of the developed test case are based on the practical limitations of 
verifying modified parameter values for all 253, 597 grid cells included in the output 
file used for the developed test case. Validation of the entire output file used in the test 
case was performed as a visual evaluation of raster-based map images produced in 
TRANSFORM. Only a subset of the entire output file could be used for more detailed 
validation tests that included a manual check of the equations used by the routine. 
 Electronic files identified by name and location: 
Electronic files are located on CD-ROM labeled GEOINPUT-2, under the directory 
SORTGRD12. The following electronic files are provided: 
SORTGRD1.CTL: Input file consisting of the input and output file names for 
SORTGRD1 V1.0. 
SORTGRD1.FOR: FORTRAN source code listing for the routine SORTGRD1 
V1.0. A printout of the source code is included as part of 
this appendix. 
SORTGRD1.EXE: Executable file for the routine SORTGRD1 V1.0, compiled 
for INTEL processors. 
SOILMAP6.INP: Input file consisting of a column-formatted, ASCII text file 
with 253,597 rows and 49 columns. This file was 
developed as the output file from SOILMAP6 V1.0 
(Appendix G). A partial printout of the first part of this file 
is included as part of this appendix. 
30MGRD01.SR1: Output file consisting of a column-formatted, ASCII text 
file with 253,597 rows and 53 columns. Each row 
corresponds to a grid cell location for the geospatial 
parameter base grid (the UTM location coordinates are 
defined by columns 2 and 3). Columns 6 and 7 are the row 
and column grid cell indices added by SORTGRD1 and 
used as input for CHNNET16 V1.0 (Appendix I). 
Columns 9 and 10 are placeholder values added by 
SORTGRD1 for two vegetation parameters (all values are 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 H-5 November 2004 
-99). A partial printout of the first part of this file is 
included as part of this appendix. 
SRT-ROW.HDF: TRANSFORM map image of the row index. This file is 
used only as supporting information for the test plan. 
SRT-COL.HDF: TRANSFORM map image of the column index. This file is 
used only as supporting information for the test plan. 
H6. SUPPORTING INFORMATION. (INCLUDE BACKGROUND INFORMATION, 
SUCH AS REVISION TO A PREVIOUS ROUTINE OR MACRO, OR 
EXPLANATION OF THE STEPS PERFORMED TO RUN THE SOFTWARE. 
INCLUDE LISTINGS OF ALL ELECTRONIC FILES AND CODES USED). 
 Procedure for running routine: 
To run the routine SORTGRD1 V1.0, the executable file (SORTGRD1.EXE), the 
routine control file (SORTGRD1.CTL), and the input file (SOILMAP6.INP) 
specified in the routine control file must be placed in the same directory. The 
routine is executed by typing SORTGRD1 in a DOS command line, by double 
clicking on the file, SORTGRD1.EXE in the Microsoft Windows operating 
system, or by typing in the path and filename in the RUN window of the 
Windows NT or Windows 98 start menu. The input and output file names must be 
in the correct sequential order as specified in the routine control file (see example 
listing below). 
 Example listing of routine control file, SORTGRD1.CTL 
Sortgrd1.ctl (header line) 
Soilmap6.inp (input file from routine SOILMAP6 version1.0) 
30mgrd01.sr1 (output file sorted from high elevation to low, generated 
by sortgrd1.ctl) 
 Example listing of the input file, SOILMAP6.INP (only the first 20 lines of the 
file are listed). 
1 544661. 4087833. 36.9373 116.4985 21 238 1739 5 1 
0.26 201 4 0 0 0 0 0 0 0 2 25 25 25 24 23 21 19 16 11 11 
1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
2 544691. 4087833. 36.9373 116.4981 25 259 1750 5 1 
0.20 201 4 0 0 0 0 0 0 0 3 29 28 27 26 25 22 19 17 11 11 
1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
3 544721. 4087833. 36.9373 116.4978 26 269 1767 5 1 
0.19 201 4 0 0 0 0 0 0 0 2 25 25 26 26 24 20 18 17 10 10 
1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
4 544751. 4087833. 36.9373 116.4975 24 277 1781 5 1 
0.22 201 4 0 0 0 0 0 0 0 2 25 25 26 26 25 22 18 16 9 9 
2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
5 544781. 4087833. 36.9373 116.4971 25 284 1794 5 1 
0.20 201 4 0 0 0 0 0 0 0 2 26 26 27 26 25 23 21 17 11 11 
2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
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MDL-NBS-HS-000023 REV 00 H-6 November 2004 
6 544811. 4087833. 36.9373 116.4968 28 286 1807 5 1 
0.17 201 4 0 0 0 0 0 0 0 3 29 28 24 25 24 23 20 17 14 14 
2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
7 544841. 4087833. 36.9373 116.4965 28 284 1824 5 1 
0.17 201 4 0 0 0 0 0 0 0 2 25 23 15 16 15 17 15 13 11 11 
1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
8 544871. 4087833. 36.9373 116.4961 24 277 1838 5 1 
0.22 201 4 0 0 0 0 0 0 0 2 23 20 2 5 6 6 6 5 8 9 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
9 544901. 4087833. 36.9373 116.4958 16 241 1851 5 1 
0.32 201 4 0 0 0 0 0 0 0 0 5 4 0 0 0 0 0 0 1 2 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
10 544931. 4087833. 36.9373 116.4955 13 169 1854 5 1 
0.36 202 4 0 0 0 0 0 0 0 0 5 4 0 0 0 0 0 0 0 0 
1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
11 544961. 4087833. 36.9373 116.4951 21 127 1846 5 1 
0.26 202 4 0 0 0 0 0 0 0 0 5 4 0 0 0 0 0 0 0 0 
2 1 0 1 1 1 2 1 14 12 0 0 0 0 0 0 0 0 
12 544991. 4087833. 36.9373 116.4948 20 128 1836 5 1 
0.27 202 4 0 0 0 0 0 0 0 0 8 7 1 1 0 0 0 0 0 0 
2 4 4 4 4 7 9 9 18 15 0 0 0 0 0 0 0 0 
13 545021. 4087833. 36.9373 116.4944 16 166 1829 5 1 
0.32 202 4 0 0 0 0 0 0 0 1 14 13 8 3 1 0 0 0 0 0 
2 5 6 6 6 7 8 11 15 13 0 0 0 0 0 0 0 0 
14 545051. 4087833. 36.9373 116.4941 19 220 1833 5 1 
0.28 202 4 0 0 0 0 0 0 0 2 18 16 8 6 2 1 0 0 0 0 
0 3 4 4 3 3 3 3 9 7 0 0 0 0 0 0 0 0 
15 545081. 4087833. 36.9373 116.4938 22 232 1843 5 1 
0.24 201 4 0 0 0 0 0 0 0 1 16 14 3 2 0 0 0 0 0 0 
0 0 1 2 1 1 1 1 4 3 0 0 0 0 0 0 0 0 
16 545111. 4087833. 36.9373 116.4934 20 224 1852 5 1 
0.27 201 4 0 0 0 0 0 0 0 1 11 9 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
17 545141. 4087833. 36.9373 116.4931 20 204 1858 5 1 
0.27 201 4 0 0 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
18 545171. 4087833. 36.9373 116.4928 21 188 1861 5 1 
0.26 201 4 0 0 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
19 545201. 4087833. 36.9373 116.4924 23 178 1862 5 1 
0.23 201 4 0 0 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
20 545231. 4087833. 36.9373 116.4921 23 162 1861 5 1 
0.23 201 4 0 0 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 
 Example listing of the output file, 30MGRD01.SR1 (only the first 20 lines of the 
file are listed). The row and column grid cell indices have been added as 
column 6 and 7, the slope and aspect columns have been shifted to columns 9 
and 10, and place holders (values of -99) for two vegetation parameters have 
been added as columns 16 and 17. 
1 546191. 4087833. 36.9372 116.4813 1 52 1969. 
25 206 5 1 0.20 201 4 -99 -99 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 
2 546221. 4087833. 36.9372 116.4810 1 53 1969. 
28 147 5 1 0.17 201 4 -99 -99 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 
3 546191. 4087803. 36.9370 116.4813 2 52 1959. 
23 199 5 1 0.23 201 4 -99 -99 1 0 0 7 7 0 0 0 0 0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 H-7 November 2004 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 16 18 
4 546161. 4087833. 36.9372 116.4816 1 51 1955. 
30 241 5 1 0.14 201 4 -99 -99 0 0 0 0 0 0 0 2 25 22 
0 0 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 
5 546221. 4087803. 36.9370 116.4810 2 53 1955. 
28 140 5 1 0.17 201 4 -99 -99 2 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 6 0 0 8 7 
0 0 22 25 
6 546191. 4087773. 36.9367 116.4813 3 52 1951. 
20 188 5 1 0.27 201 4 -99 -99 1 11 4 2 2 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
2 0 14 16 
7 546251. 4087833. 36.9372 116.4806 1 54 1950. 
36 125 5 1 0.06 201 4 -99 -99 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 3 3 2 5 3 32 28 0 0 0 0 
0 0 0 0 
8 546161. 4087803. 36.9370 116.4816 2 51 1949. 
27 241 5 1 0.18 201 4 -99 -99 1 0 0 13 13 5 12 2 18 15 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 9 11 
9 549311. 4087833. 36.9371 116.4463 1 156 1944. 
23 180 5 1 0.23 206 4 -99 -99 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 
10 546221. 4087773. 36.9367 116.4810 3 53 1944. 
28 134 5 1 0.17 201 4 -99 -99 2 3 1 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 13 11 0 2 8 8 
13 4 19 22 
11 546161. 4087773. 36.9367 116.4816 3 51 1943. 
24 237 5 1 0.22 201 4 -99 -99 1 16 6 11 12 5 7 1 14 12 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 9 11 
12 546191. 4087743. 36.9364 116.4813 4 52 1942. 
20 175 5 1 0.27 201 4 -99 -99 15 11 5 2 1 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
3 6 15 16 
13 546131. 4087833. 36.9372 116.4820 1 50 1939. 
33 247 5 1 0.10 201 4 -99 -99 0 0 0 0 0 0 0 3 28 25 
10 11 6 6 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 
14 549281. 4087833. 36.9371 116.4466 1 155 1939. 
26 221 5 1 0.19 206 4 -99 -99 0 0 0 0 0 0 0 1 9 7 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 
15 549341. 4087833. 36.9371 116.4459 1 157 1939. 
26 155 5 1 0.19 206 4 -99 -99 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 9 7 0 0 0 0 
0 0 0 0 
16 546251. 4087803. 36.9370 116.4806 2 54 1938. 
35 124 5 1 0.08 201 4 -99 -99 2 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 4 4 3 8 5 29 26 12 15 16 15 
0 0 18 21 
17 546161. 4087743. 36.9364 116.4816 4 51 1937. 
23 229 5 1 0.23 201 4 -99 -99 17 18 16 17 9 1 3 1 9 7 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 9 11 
18 546131. 4087803. 36.9370 116.4820 2 50 1933. 
33 252 5 1 0.10 201 4 -99 -99 1 0 0 15 14 9 26 20 28 25 
7 9 5 5 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 9 11 
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MDL-NBS-HS-000023 REV 00 H-8 November 2004 
19 546281. 4087833. 36.9372 116.4803 1 55 1932. 
34 130 5 1 0.09 201 4 -99 -99 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 4 8 12 17 16 31 27 0 0 0 0 
0 0 0 0 
20 549371. 4087833. 36.9371 116.4456 1 158 1932. 
27 153 5 1 0.18 206 4 -99 -99 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 13 11 0 0 0 0 
0 0 0 0 
 Example listing of the output file, 30MGRD01.SR1 (only the last 20 lines of the 
file are listed). The row and column grid cell indices have been added as 
column 6 and 7, the slope and aspect columns have been shifted to columns 9 
and 10, and place holders (values of -99) for two vegetation parameters have 
been added as columns 16 and 17. 
253578 554141. 4067223. 36.7510 116.3935 688 317 918. 
0 -1 3 4 6.00 204 2 -99 -99 1 1 1 2 2 2 3 3 3 3 
4 3 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 2 2 3 4 
2 2 1 1 
253579 554141. 4067343. 36.7521 116.3935 684 317 918. 
0 -1 3 4 6.00 204 2 -99 -99 1 2 2 2 3 3 3 3 3 3 
3 3 3 2 0 0 0 0 0 0 0 0 0 0 2 2 3 3 2 2 3 4 
2 2 1 1 
253580 553931. 4067253. 36.7513 116.3959 687 310 918. 
0 48 3 4 6.00 204 2 -99 -99 1 1 1 1 1 1 1 1 1 1 
1 0 0 0 0 0 0 0 0 0 0 2 4 5 6 6 8 8 8 8 7 5 
5 4 2 2 
253581 553901. 4067163. 36.7505 116.3962 690 309 918. 
1 59 3 4 6.00 204 2 -99 -99 1 1 1 1 1 1 1 1 1 0 
0 0 0 0 0 0 0 1 0 0 0 0 0 1 5 7 8 8 8 7 7 6 
6 4 2 2 
253582 554261. 4067463. 36.7532 116.3921 680 321 918. 
3 267 3 4 6.00 204 2 -99 -99 2 4 5 6 7 7 7 7 8 7 
6 6 6 5 4 4 2 2 0 0 0 0 0 1 1 1 2 2 2 2 3 4 
2 2 1 1 
253583 554141. 4067283. 36.7516 116.3935 686 317 918. 
0 -1 3 4 6.00 204 2 -99 -99 1 1 1 2 2 2 2 3 3 3 
3 3 3 1 0 0 0 0 0 0 0 0 0 0 1 2 2 2 2 2 3 4 
2 2 1 1 
253584 554171. 4067283. 36.7516 116.3932 686 318 918. 
0 103 3 4 6.00 204 2 -99 -99 1 1 2 2 3 3 3 3 4 3 
3 3 3 2 1 0 0 0 0 0 0 0 0 0 0 2 2 2 2 2 3 4 
2 2 1 1 
253585 554201. 4067283. 36.7516 116.3928 686 319 918. 
1 287 3 4 6.00 204 2 -99 -99 1 2 3 3 3 3 4 4 5 4 
4 4 4 3 3 1 0 0 0 0 0 0 0 0 0 1 2 2 2 2 3 4 
2 2 1 1 
253586 554021. 4067193. 36.7508 116.3949 689 313 918. 
0 -1 4 4 6.00 204 1 -99 -99 1 1 1 1 2 1 1 2 2 1 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 4 3 3 4 4 4 
3 2 1 1 
253587 554231. 4067283. 36.7516 116.3925 686 320 918. 
3 287 4 4 6.00 204 1 -99 -99 1 2 3 3 4 5 6 7 7 7 
6 6 6 5 5 4 1 1 0 0 0 0 0 0 0 1 2 2 2 2 3 4 
2 2 1 1 
253588 554171. 4067343. 36.7521 116.3932 684 318 918. 
0 -1 3 4 6.00 204 2 -99 -99 1 2 2 2 3 3 3 3 4 3 
3 3 3 3 2 0 0 0 0 0 0 0 0 0 1 2 2 2 2 2 3 4 
2 2 1 1 
253589 554111. 4067463. 36.7532 116.3938 680 316 918. 
0 93 4 4 6.00 204 1 -99 -99 1 1 2 2 2 3 3 3 3 2 
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MDL-NBS-HS-000023 REV 00 H-9 November 2004 
2 2 2 1 1 0 0 0 0 0 0 0 1 2 2 3 3 3 4 3 3 4 
2 2 1 1 
253590 553961. 4067343. 36.7521 116.3955 684 311 918. 
0 -1 3 4 6.00 204 2 -99 -99 1 1 1 1 1 2 2 1 1 1 
1 1 0 0 0 0 0 0 0 0 1 3 4 5 6 6 7 7 6 6 6 5 
4 4 2 2 
253591 554111. 4067373. 36.7524 116.3938 683 316 918. 
0 -1 4 4 6.00 204 1 -99 -99 1 1 2 2 2 3 2 2 3 2 
2 2 2 1 0 0 0 0 0 0 0 0 0 1 2 3 3 3 3 3 3 4 
2 2 1 1 
253592 554051. 4067463. 36.7532 116.3945 680 314 918. 
0 16 3 4 6.00 204 2 -99 -99 1 1 2 2 2 2 2 2 2 2 
2 2 2 0 0 0 0 0 0 0 0 1 2 2 3 3 5 5 5 5 5 5 
4 2 1 1 
253593 554081. 4067313. 36.7518 116.3942 685 315 918. 
0 -1 4 4 6.00 204 1 -99 -99 1 1 1 1 2 2 2 2 2 2 
2 2 2 0 0 0 0 0 0 0 0 0 0 2 2 3 3 3 3 3 3 4 
2 2 1 1 
253594 553931. 4067403. 36.7527 116.3958 682 310 918. 
6 65 3 4 6.00 204 2 -99 -99 1 1 1 1 1 1 2 1 1 1 
1 1 0 0 0 0 0 0 0 3 4 6 7 8 9 9 12 11 10 11 10 10 
8 6 4 4 
253595 553961. 4067403. 36.7527 116.3955 682 311 918. 
0 -1 3 4 6.00 204 2 -99 -99 1 1 1 1 1 2 2 1 1 1 
1 1 0 0 0 0 0 0 0 0 1 3 5 5 6 7 8 8 8 8 7 5 
5 5 2 2 
253596 554261. 4067433. 36.7529 116.3921 681 321 918. 
3 278 3 4 6.00 204 2 -99 -99 2 3 4 5 6 6 7 7 7 7 
7 6 6 5 5 4 2 2 0 0 0 0 0 1 1 1 2 2 2 2 3 4 
2 2 1 1 
253597 553931. 4067433. 36.7529 116.3958 681 310 918. 
8 67 3 4 6.00 204 2 -99 -99 1 1 1 1 1 1 2 1 1 1 
1 1 0 0 0 0 0 0 0 3 4 6 8 8 9 10 18 17 10 11 10 10 
8 8 5 5 
 Example listing of a randomly selected row from the input file, 
SOILMAP6.INP, used to compare against corresponding row of the output file, 
30MGRD01.SR1. The row number in the input file is 24404. 
24404 550091. 4085853. 36.9192 116.4376 26 113 1649 5 1 0.19 
206 4 8 4 3 2 1 0 0 0 0 0 0 0 0 0 0 0 4 5 12 14 
17 19 21 23 24 25 29 29 32 31 31 29 27 24 17 17 
 Example listing of the row in the output file, 30MGRD01.SR1 corresponding to 
row 24404 of the input file, showing the modified grid cell number indicating 
the new row sequence number (10994) created by the elevation sort. With the 
exception of the modified grid cell number, the addition of the row and column 
indices (columns 6 and 7), the re-positioning of the slope and aspect 
parameters to columns 9 and 10, and the addition of the two place holder 
columns for the vegetation parameters (columns 16 and 17), no other 
modifications were performed. 
10994 550091. 4085853. 36.9192 116.4376 67 182 1649. 26 
113 5 1 0.19 206 4 -99 -99 8 4 3 2 1 0 0 0 0 0 0 
0 0 0 0 0 4 5 12 14 17 19 21 23 24 25 29 29 32 31 31 29 27 
24 17 17 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 H-10 November 2004 
 Listing of source code for routine SORTGRD1 V1.0: 
PROGRAM sortgrd1 
c version 1.0 
c 
INTEGER LOCID(1190000) 
INTEGER LOCID2 
integer slp(1190000),asp(1190000) 
integer row(1190000),col(1190000) 
integer row2,col2,rown,coln 
integer SOILID(1190000),DEPTHID(1190000),ROCKID(1190000), 
1 TOPOID(1190000) 
integer SOILID2,DEPTHID2,ROCKID2,TOPOID2 
integer block(1190000,36) 
integer BLOCK2(36) 
integer vegt(1190000),vegc(1190000) 
integer slp2,asp2 
c 
real X(1190000),Y(1190000) 
real el(1190000),depth(1190000) 
real LAT(1190000),LON(1190000) 
real depth2,x2,y2,yold 
REAL LAT2,LON2,Emax 
real pie,rd,space,hypot,rmax 
real s11,s12,s21,s22,s31,s32,s41,s42,s51,s52,s61,s62, 
1 s71,s72,s81,s82 
real s1,r1,s2,r2,s3,r3,s4,r4,s5,r5,s6,r6,s7,r7,s8,r8 
c 
c 
CHARACTER*20 INFILE,OUTFILE,outfil2 
CHARACTER*80 HEADER 
c 
c 
15 FORMAT(A) 
OPEN(UNIT=7,FILE=sortgrd1.CTL) 
READ(7,15) HEADER 
READ(7,15) INFILE 
READ(7,15) OUTFILE 
read(7,15) outfil2 
C 
OPEN(UNIT=8,FILE=INFILE) 
OPEN(UNIT=9,FILE=OUTFILE) 
open(unit=10,file=outfil2) 
C 
EMAX = -9999999. 
c 
c ---------- initialize 2d elevation array 
c 
N = 1 
coln = 0 
rown = 0 
yold = 0. 
100 READ(8,*,END=150) LOCID(n),X(n),Y(n),LAT(n),LON(n), 
1 SLP(n),ASP(n),EL(n),soilid(n), 
2 depthid(n),depth(n),ROCKID(n), 
3 TOPOID(n),(BLOCK(n,I), I=1,36) 
C 
if(y(n).ne.yold) then 
rown = rown + 1 
coln = 1 
write(*,*) n,rown 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 H-11 November 2004 
endif 
col(n) = coln 
row(n) = rown 
coln = coln + 1 
yold = y(n) 
n = n + 1 
c 
goto 100 
150 n = n - 1 
write(*,*) n, row(n), col(n) 
pause 
c 
C 
c ------------- do bubble sort for elevation ------------- 
c 
do 600 i = 1,n 
write(*,*) i 
do 610 j = i,n 
if(el(j).gt.emax) then 
emax = el(j) 
locid2 = locid(j) 
row2 = row(j) 
col2 = col(j) 
x2 = x(j) 
y2 = y(j) 
lat2 = lat(j) 
lon2 = lon(j) 
slope2 = slp(j) 
asp2 = asp(j) 
soilid2 = soilid(j) 
depthid2 = depthid(j) 
depth2 = depth(j) 
rockid2 = rockid(j) 
topoid2 = topoid(j) 
do k = 1,36 
block2(k) = block(j,k) 
enddo 
jid = j 
endif 
610 continue 
c 
el(jid) = el(i) 
locid(jid) = locid(i) 
row(jid) = row(i) 
col(jid) = col(i) 
x(jid) = x(i) 
y(jid) = y(i) 
lat(jid) = lat(i) 
lon(jid) = lon(i) 
slp(jid) = slp(i) 
asp(jid) = asp(i) 
soilid(jid) = soilid(i) 
depthid(jid) = depthid(i) 
depth(jid) = depth(i) 
rockid(jid) = rockid(i) 
topoid(jid) = topoid(i) 
do k = 1,36 
block(jid,k) = block(i,k) 
enddo 
c 
c 
el(i) = emax 
locid(i) = locid2 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 H-12 November 2004 
row(i) = row2 
col(i) = col2 
x(i) = x2 
y(i) = y2 
lat(i) = lat2 
lon(i) = lon2 
slp(i) = slope2 
asp(i) = asp2 
soilid(i) = soilid2 
depthid(i) = depthid2 
depth(i) = depth2 
rockid(i) = rockid2 
topoid(i) = topoid2 
do k = 1,36 
block(i,k) = block2(k) 
enddo 
emax = -99999 
600 continue 
c 
c 
do 700 i = 1,n 
c 
c---- create place holders for veg parameters 
c 
vegt(i) = -99 
vegc(i) = -99 
c 
c 
WRITE(9,711) i,x(i),y(i),LAT(i),LON(i), 
1 row(i),col(i),el(i),slp(i),asp(i),soilid(i), 
2 depthid(i),depth(i),rockid(i),topoid(i), 
3 vegt(i),vegc(i),(BLOCK(i,j), j=1,36) 
c 
711 FORMAT(1X,i8,2f10.0,2f9.4,2i5,F7.0,3i4,i3,f7.2,4i4, 
1 36i3) 
c 
700 continue 
c 
c 
CLOSE(9) 
close(10) 
END 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 November 2004 
APPENDIX I 
CALCULATION OF FLOW ROUTING PARAMETERS USING CHNNET16 V1.0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 November 2004 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 I-1 November 2004 
I1. NAME OF ROUTINE/MACRO WITH VERSION/OS/HARDWARE 
ENVIRONMENT AND USER INFORMATION 
Name of software routine: CHNNET16 V1.0 
OS and hardware environment: Windows NT 4.0, Pentium Pro PC 
Computer Identification: SM321276 with a USGS specific host-name P720dcasr 
Software Users: Joseph Hevesi (916-278-3274), Alan Flint (916-278-3221) 
User Location: U.S. Geological Survey, Room 5000E, Placer Hall, 6000 J Street, Sacramento, 
CA 95819-6129 
I2. NAME OF COMMERCIAL SOFTWARE WITH VERSION/OS/HARDWARE 
USED TO DEVELOP ROUTINE/MACRO 
The source code for CHNNET16 V1.0 was developed using the standard FORTRAN77 
programming language. The source code was written, debugged, and compiled (for PC platforms 
using INTEL processors) using DIGITAL Visual Fortran with Microsoft Developer Studio, V. 
5.0. 
I3. GENERAL DESCRIPTION OF ROUTINE/MACRO 
CHNNET16 V1.0 is a FORTRAN77 routine developed in accordance with AP-SI.1Q, 
specifically for the analysis/model activity documented in this report. The routine source code 
(CHNNET16.FOR), compiled executable file (CHNNET16.EXE), routine control file 
(CHNNET16.CTL), input and output files, validation test files, and a copy of this appendix, are 
located under the directory CHNNET16 on a CD-ROM labeled GEOINPUT-2. The routine 
source code, control file, and the input and output files are ASCII text files that can be read using 
any standard ASCII text editor and can be imported into standard word processing or spreadsheet 
applications such as Microsoft WORD and EXCEL. The executable file can be used to run 
CHNNET16 V1.0 on any PC with an INTEL processor (with adequate RAM). 
The output developed by CHNNET16 V1.0 is required for the development of the geospatial 
parameter input file for INFIL V2.0 (USGS 2000 [DIRS 139422]). The output file created by 
CHNNET16 is used directly as input to the routine WATSHD20 V1.0. 
I4. TEST PLAN FOR THE SOFTWARE ROUTINE CHNNET16 V1.0 
 Explain whether this is a routine or macro and describe what it does: 
CHNNET16 V1.0 is the eighth routine applied in a sequence of FORTRAN 77 
routines that are used in the development of the geospatial parameter input files for 
INFIL V2.0. The first function performed by CHNNET16 is the calculation of the 
second flow routing parameter using input from 30MGRD01.SR1, which is the 
elevation-sorted output file from SORTGRD1 V1.0 (Appendix H). The flow routing 
calculation is based on a standard D-8 routing scheme in which the eight grid cells 
surrounding a given grid cell location are scanned and flow is routed to the lowest 
elevation cell. The first flow routing parameter is the current grid cell identification 
number provided as input from 30MGRD01.SR1. This parameter is generated by 
SORTGRD1 and indicates the sequence of sorted elevation values. The second flow 
routing parameter is generated by CHNNET16 using the grid cell elevations obtained 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 I-2 November 2004 
from 30MGRD01.SR1 and is the grid cell identification number for the downstream 
grid cell that surface water flow is being routed to. In most cases the downstream cell 
is one of eight adjacent cells surrounding a given grid cell. In cases where all 
adjacent grid cells have elevations higher than the current grid cell, the next 
surrounding layer of grid cells is scanned. This process is repeated until a grid cell is 
located with an elevation less than the current grid cell, or 20 layers have been 
scanned (which ever occurs first). If 20 layers have been scanned and a routing cell is 
not located, the current grid cell is designated as a sink (closed basin). 
A second function performed by CHNNET16 V1.0 is the calculation of the flow 
accumulation term (the number of upstream cells for each grid cell location). The 
calculation is performed by routing a uniformly distributed precipitation input of one 
unit (in this case, 1.0 millimeters) using the two flow routing parameters. The flow 
accumulation term is used to identify grid cell locations needed as input for extracting 
watershed modeling domains using the routine WATSHD20 (Appendix K). In 
addition, the flow accumulation term is used as part of the routine test plan for 
evaluating if CHNNET16 V1.0 is functioning correctly. 
The second flow routing parameter (downstream grid cell number) and the flow 
accumulation term are included in the output file, 30MGRD01.C16 generated by 
CHNNET16 (this file is provided as input to WATSHD20). Additional parameters 
included in the output file are the easting and northing grid cell coordinates, the row 
and column grid cell indices, and the first flow routing parameter (the grid cell 
number). These additional parameters are obtained from the input file, 
30MGRD01.SR1. Additional columns in the output file, 30MGRD01.C16 are 
optional parameters generated by CHNNET16 V1.0 that are not used in the 
development of the geospatial parameter input files for INFIL V2.0. 
 Listing of FORTRAN77 Source code: 
A listing of the FORTRAN77 source code for the routine CHNNET16 V1.0 along 
with examples of the input and output files used in the test plan are included at the 
end of this appendix. 
 Description of test(s): 
A validation test of the functions performed by the routine was conducted by a visual 
evaluation of the calculated flow accumulation term included in the output file 
generated by the routine. The flow accumulation term is calculated based on the result 
of routing a uniform precipitation input of 1 mm. The flow accumulation term is thus 
equal to the number of upstream grid cells for a given grid cell location. Map images 
of the flow accumulation term are created in TRANSFORM and ARCVIEW to 
provide visual representations of the channel network defined by the calculated flow 
routing parameters. Using applications in ARCVIEW the map image of the channel 
network is superimposed with a contour or shaded relief image of the topography to 
provide a method of testing that the routine has functioned correctly. The test 
criterion is that the channel network defined by CHNNET16 must agree with the 
expected channel network defined by the topography (within the limitations of the 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 I-3 November 2004 
standard D8 routing algorithm). For example, all grid cells having a flow 
accumulation term of 0 (no upstream cells) indicate flow divides and must occur for 
ridgetop and summit locations or for high points within the more flat lying basin fill 
areas. In contrast, all grid cells having approximately 10 or more upstream cells 
define stream channel locations and must occur along mid to lower sideslopes and the 
bottom of washes as opposed to ridgetop and summit locations. Major stream 
channels consisting of approximately 1,000 or more upstream cells must occur in the 
mid- to downstream-sections of the larger washes and drainages in upland areas or far 
downslope in gently sloping basin-fill areas with poorly defined drainages. 
The flow accumulation term must systematically increase with decreasing elevation 
in the downstream direction (up-hill flow cannot occur), and must exactly equal the 
sum of all contributing upstream grid cells. Major channels cannot cross drainage 
divides formed by ridges. All flow routing must be convergent and cannot terminate 
unless a major sink is reached. A grid cell can be routed to by up to 7 adjacent cells 
(or even more for locations defined as a sinks), but all cells can only rout to one cell 
(divergent flow is not allowed). 
A visual check that the flow routing and the flow accumulation terms are being 
calculated correctly is also conducted using TRANSFORM to create raster-based map 
images and extracting input and output parameter values for a subset of grid cells 
identified in the TRANSFORM file. The input and output parameter values for the 
subset of grid cells are visually inspected to determine that the functions performed 
by CHNNET16 have operated correctly and have provided the intended result. 
An additional test performed as part of the routine validation is an inspection of the 
output file containing the flow routing parameters. The criteria of the test is that the 
output file must be in the proper format with the correct number and sequencing of 
10 columns and 253,597 rows. The UTM coordinates and the grid cell number of the 
output file, 30MGRD01.C16 must match the UTM coordinates and the grid cell 
number of the corresponding line in the input file, 30MGRD01.SR1. 
 Specify the range of input values to be used and why the range is valid: 
The input range is completely determined by the parameters in the file, 
30MGRD01.SR1 because this is the only source of input provided to the routine. The 
file is specified in the file, CHNNET16.CTL, which is the routine control file for 
CHNNET16 and is required for the execution of the routine. 30MGRD01.SR1 is a 
column-formatted ASCII file consisting of 253,597 rows and 53 columns 
(Appendices J and K). For the parameters used by the routine, the input ranges are 
specified by the following: 
SORTGRD01.SR1 is the main input file used by CHNNET16 V1.0. Four parameters 
provided by the input file, SORTGRD01.SR1 are used by functions in CHNNET16 
V1.0: the grid cell number (column 1), the grid cell row index (column 6), the grid 
cell column index (column 7), and the grid cell elevation. The input values for the 
grid cell number are integers from 1 to 253,597. The input values for grid cell row 
index are integers from 1 to 691. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 I-4 November 2004 
The input values for grid cell column index are integers from 1 to 367. The input 
values for grid cell elevation are real numbers from 918 to 1,969 (the elevation values 
are to the nearest meter). This input range is valid because the values were obtained 
from ARCINFO using the source data as input (see Appendix D for description of 
source data used for 30MSITE.INP) and a sequence of applied software routines 
described in Appendices E through H of this report. 
I5. TEST RESULTS 
 Output from test: 
The output for the test case is the main output file, 30MGRD01.C16 generated by 
CHNNET16 V1.0. The output file is used to generate raster-format map image files 
in TRANSFORM and ARCVIEW which are used only as a part of the validation test 
plan (the map image files are not required as part of the preprocessing procedure for 
developing the input used by INFIL V2.0). 
 Description of how the testing shows that the results are correct for the 
specified input: 
The ARCVIEW map images of the flow accumulation term obtained from column 8 
of the output file, 30MGRD01.C16 indicate that the flow routing parameters are being 
calculated correctly by the routine CHNNET16 V1.0. The overlay of the flow 
accumulation term with a shaded relief image of the topography indicates that the 
stream channel network defined by the flow routing parameters is correctly 
positioned relative to topography. The locations of the major channels defined by the 
flow accumulation term are generally consistent with the known locations of the main 
channels for Yucca Wash, Drill Hole Wash, Dune Wash, and Solitario Canyon. 
Deviations of the channel network defined by the flow accumulation term relative to 
the known locations of channels are within the expected level of accuracy based on 
the limitations of the digital elevation grid and the D8 routing directions in 
representing the true locations of channels. 
Visual inspection of the input and output files (see example printouts below) 
indicated that the format of the output file is correct and consists of the intended 
253,597 rows and 10 columns, with the columns and rows occurring in the correct 
sequence. The UTM coordinates, grid cell number, and the row and column indices 
for each line of the output file matches the UTM coordinates, grid cell number, and 
row and column indices of the corresponding line of the input file, indicating that no 
unintended modifications were performed by the routine. 
 List limitations or assumptions to this test case and code in general: 
The limitations of the developed test case are based on the practical limitations of 
verifying calculated parameter values for all 253, 597 grid cells included in the output 
file used for the developed test case. Validation of the entire output file used in the 
test case was performed as a visual evaluation of raster-based map images produced 
in TRANSFORM and ARCVIEW. Only a subset of the entire output file could be 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 I-5 November 2004 
used for more detailed validation tests that were performed in an EXCEL worksheet. 
However, there is no expected significance to this limitation. 
 Electronic files identified by name and location: 
Electronic files are located on CD-ROM labeled GEOINPUT-2, under the directory 
CHNNET16. The following electronic files are provided: 
CHNNET16.CTL: Input file consisting of the input and output file names for 
CHNNET16 V1.0. 
CHNNET16.FOR: FORTRAN source code listing for the routine CHNNET16 
V1.0. A printout of the source code is included as part of 
this appendix. 
CHNNET16.EXE: Executable file for the routine CHNNET16 V1.0, compiled 
for INTEL processors. 
30MGRD01.SR1: Input file consisting of a column-formatted, ASCII text file 
with 253,597 rows and 53 columns. This file was 
developed as the output file from SORTGRD1 V1.0 
(Appendix H). A partial printout of the first part of this file 
is included as part of this appendix. 
30MGRD01.C16: Output file consisting of a column-formatted, ASCII text 
file with 10 columns and 253,597 rows. The first two 
columns are the easting and northing coordinates, columns 
3 and 4 are the row and column indices. The flow routing 
parameters consist of the grid cell number (column 5), the 
boundary cell parameter (column 6), the downstream cell 
number (column 7), and the flow accumulation term 
(column 9). 
CHN16-A.APR: ARCVIEW project file (including all files in associated 
directories) used to create the raster-based map image of 
flow accumulation for the area of the net infiltration model. 
The files are used to perform the software routine 
validation test and are provided as supporting information 
only. 
CHN16-B.APR: ARCVIEW project file (including all files in associated 
directories) used to create the raster-based map image of 
flow accumulation for the area of the UZ ground water 
flow model. The files are used to perform the software 
routine validation test and are provided as supporting 
information only. 
CHN16-C.APR: ARCVIEW project file (including all files in associated 
directories) used to create the raster-based map image of 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 I-6 November 2004 
flow accumulation for the repository area. The files are 
used to perform the software routine validation test and are 
provided as supporting information only. 
CHN-ELEV.HDF: TRANSFORM raster-based map image of grid cell 
elevation obtained from column 8 of the input file, 
30MGRD01.SR1. 
CHN-R1.HDF: TRANSFORM raster-based map image of the first flow 
routing parameter obtained from column 1 of the input file, 
30MGRD01.SR1. 
CHN-R2.HDF: TRANSFORM raster-based map image of the second flow 
routing parameter obtained from column 7 of the output 
file, 30MGRD01.C16. This file is not a part of the routine 
application. 
CHN-C16.HDF: TRANSFORM raster-based map image of the flow 
accumulation term (number of upstream grid cells) 
obtained from column 8 of the output file, 
30MGRD01.C16. This file is not a part of the routine 
application. 
I6. SUPPORTING INFORMATION. (INCLUDE BACKGROUND INFORMATION, 
SUCH AS REVISION TO A PREVIOUS ROUTINE OR MACRO, OR 
EXPLANATION OF THE STEPS PERFORMED TO RUN THE SOFTWARE. 
INCLUDE LISTINGS OF ALL ELECTRONIC FILES AND CODES USED). 
 Procedure for running routine: 
To run the routine CHNNET16 V1.0, the executable file (CHNNET16.EXE), the 
routine control file (CHNNET16.CTL), and the input file specified in the routine 
control file (CHNNET16.INP) must be placed in the same directory. The routine is 
executed by typing CHNNET16 in a DOS window, by double clicking on the file, 
CHNNET16.EXE in the Microsoft Windows operating system, or by typing in the 
path and filename in the RUN window of the Windows NT or Windows 98 start 
menu. The input and output file names must be in the correct sequential order as 
specified in the routine control file (see example listing below). 
 Example listing of routine control file, CHNNET16.CTL 
chnnet16 test file (7/9/98) (header line) 
30mgrd01.sr1 (input file from SORTGRD01 version 1.0) 
30mgrd01.c16 (main output file from CHNNET16 version 1.0) 
30mgrd01.h16 (auxiliary output file) 
30mgrd01.g16 (auxiliary output file) 
0 2 (input/output format options, set to 0, 2) 
 Example listing of the input file, 30MGRD01.SR1. The file contains 253,597 
lines and 53 columns (only the first 20 lines of the file are listed). The input 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 I-7 November 2004 
parameters used by CHNNET16 V1.0 are grid cell number (column 1), grid 
cell row index (column 6), grid cell column index (column 7), and grid cell 
elevation (column 8). 
1 546191. 4087833. 36.9372 116.4813 1 52 1969. 25 206 5 1 
0.20 201 4 -99 -99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
2 546221. 4087833. 36.9372 116.4810 1 53 1969. 28 147 
5 1 0.17 201 4 -99 -99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
3 546191. 4087803. 36.9370 116.4813 2 52 1959. 23 199 
5 1 0.23 201 4 -99 -99 1 0 0 7 7 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 18 
4 546161. 4087833. 36.9372 116.4816 1 51 1955. 30 241 
5 1 0.14 201 4 -99 -99 0 0 0 0 0 0 0 2 25 22 0 0 2 2 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
5 546221. 4087803. 36.9370 116.4810 2 53 1955. 28 140 
5 1 0.17 201 4 -99 -99 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 7 6 0 0 8 7 0 0 22 25 
6 546191. 4087773. 36.9367 116.4813 3 52 1951. 20 188 
5 1 0.27 201 4 -99 -99 1 11 4 2 2 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 14 16 
7 546251. 4087833. 36.9372 116.4806 1 54 1950. 36 125 
5 1 0.06 201 4 -99 -99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 3 3 2 5 3 32 28 0 0 0 0 0 0 0 0 
8 546161. 4087803. 36.9370 116.4816 2 51 1949. 27 241 
5 1 0.18 201 4 -99 -99 1 0 0 13 13 5 12 2 18 15 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 11 
9 549311. 4087833. 36.9371 116.4463 1 156 1944. 23 180 
5 1 0.23 206 4 -99 -99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
10 546221. 4087773. 36.9367 116.4810 3 53 1944. 28 134 
5 1 0.17 201 4 -99 -99 2 3 1 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 1 13 11 0 2 8 8 13 4 19 22 
11 546161. 4087773. 36.9367 116.4816 3 51 1943. 24 237 
5 1 0.22 201 4 -99 -99 1 16 6 11 12 5 7 1 14 12 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 11 
12 546191. 4087743. 36.9364 116.4813 4 52 1942. 20 175 
5 1 0.27 201 4 -99 -99 15 11 5 2 1 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 6 15 16 
13 546131. 4087833. 36.9372 116.4820 1 50 1939. 33 247 
5 1 0.10 201 4 -99 -99 0 0 0 0 0 0 0 3 28 25 10 11 6 6 2 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
14 549281. 4087833. 36.9371 116.4466 1 155 1939. 26 221 
5 1 0.19 206 4 -99 -99 0 0 0 0 0 0 0 1 9 7 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
15 549341. 4087833. 36.9371 116.4459 1 157 1939. 26 155 
5 1 0.19 206 4 -99 -99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 1 9 7 0 0 0 0 0 0 0 0 
16 546251. 4087803. 36.9370 116.4806 2 54 1938. 35 124 
5 1 0.08 201 4 -99 -99 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 4 4 3 8 5 29 26 12 15 16 15 0 0 18 21 
17 546161. 4087743. 36.9364 116.4816 4 51 1937. 23 229 
5 1 0.23 201 4 -99 -99 17 18 16 17 9 1 3 1 9 7 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 11 
18 546131. 4087803. 36.9370 116.4820 2 50 1933. 33 252 
5 1 0.10 201 4 -99 -99 1 0 0 15 14 9 26 20 28 25 7 9 5 5 2 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 11 
19 546281. 4087833. 36.9372 116.4803 1 55 1932. 34 130 
5 1 0.09 201 4 -99 -99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 4 8 12 17 16 31 27 0 0 0 0 0 0 0 0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 I-8 November 2004 
20 549371. 4087833. 36.9371 116.4456 1 158 1932. 27 153 
5 1 0.18 206 4 -99 -99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 1 13 11 0 0 0 0 0 0 0 0 
 Example listing of the output file, 30MGRD01.C16. The file contains 253, 597 
lines and 10 columns (only the first 20 lines of the file are listed). The UTM 
easting and northing coordinates (columns 1 and 2), the grid cell row and 
column indices (columns 3 and 4), and the grid cell number (column 5) are 
identical to the values in the input file. The grid cell number is the first flow 
routing parameter. Column 6 is the watershed boundary parameter created 
by CHNNET16, where 3 indicates grid cells on the perimeter of the grid and 
0 indicates grid cells on watershed divides (these are grid cells with no 
upstream cells). Column 7 is the second flow routing parameter and 
indicates the grid cell number of the downstream cell. Column 9 is the flow 
accumulation term (number of upstream cells) used to map the stream 
channel network defined by the 2 flow routing parameters. 
546191.0 4087833.0 1 52 1 -3 0 0 0.00000 -1.0 
546221.0 4087833.0 1 53 2 -3 0 0 0.00000 -1.0 
546191.0 4087803.0 2 52 3 0 11 0 0.00000 -1.0 
546161.0 4087833.0 1 51 4 -3 0 0 0.00000 -1.0 
546221.0 4087803.0 2 53 5 0 26 0 0.00000 -1.0 
546191.0 4087773.0 3 52 6 0 21 0 0.00000 -1.0 
546251.0 4087833.0 1 54 7 -3 0 0 0.00000 -1.0 
546161.0 4087803.0 2 51 8 0 27 0 0.00000 -1.0 
549311.0 4087833.0 1 156 9 -3 0 0 0.00000 -1.0 
546221.0 4087773.0 3 53 10 0 43 0 0.00000 -1.0 
546161.0 4087773.0 3 51 11 11 32 0 1.00000 -1.0 
546191.0 4087743.0 4 52 12 0 33 0 0.00000 -1.0 
546131.0 4087833.0 1 50 13 -3 0 0 0.00000 -1.0 
549281.0 4087833.0 1 155 14 -3 0 0 0.00000 -1.0 
549341.0 4087833.0 1 157 15 -3 0 0 0.00000 -1.0 
546251.0 4087803.0 2 54 16 0 52 0 0.00000 -1.0 
546161.0 4087743.0 4 51 17 0 41 0 0.00000 -1.0 
546131.0 4087803.0 2 50 18 0 57 0 0.00000 -1.0 
546281.0 4087833.0 1 55 19 -3 0 0 0.00000 -1.0 
549371.0 4087833.0 1 158 20 -3 0 0 0.00000 -1.0 
 Listing of source code for routine CHNNET16 V1.0: 
PROGRAM chnnet16 
c version 1.0 
c 
c Routine to calculate the flow routing parameters used as input 
c to INFIL version 2.0 for the surface water flow module and 
c also as input to the routine WATSHD20 for extracting watershed 
c model domains from the geospatial parameter base-grid 
c defined by 30MSITE.INP. 
c 
c CHNNET16 is used to calculate the flow routing parameters 
c and the flow accumulation term (# of upstream cells) using 
c digital elevation data (in standard raster grid format) 
c This routine requires the output from SORTGRD1 as input. 
c 
c CHNNET16 was written by Joe Hevesi 
c U.S. Geological Survey 
c Placer Hall, 6000 J Street 
c Sacramento, CA 95819-6129 
c 
c----------------------------------------------------------------------- 
real ssl,selev,maxsl,minsl,maxelev,minelev 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 I-9 November 2004 
integer nloc,ncell,n2,rown,coln,maxrow,maxcol,nold 
integer edge,minrow,mincol 
integer row1,col1,row2,col2 
integer iopt,iopt2 
real lat,lon 
real totout2 
c 
double precision x(1190000),y(1190000) 
integer slp,asp,loc 
real soild 
integer rblock(36) 
c 
integer row(1190000),col(1190000), 
1 soilt,geol,topo 
c 
integer iout(0:1204,0:985),iwat(0:1204,0:985) 
integer locid(0:1204,0:985) 
real elev(0:1204,0:985),flowout(0:1204,0:985), 
1 flowin(0:1204,0:985),totout(0:1204,0:985), 
2 run(0:1204,0:985),totin(0:1204,0:985), 
4 pond(0:1204,0:985) 
real elhole,elmin 
integer irun,nrun 
integer hole(0:1204,0:985) 
c 
character*80 header 
character*20 infile,chnfile,holefile,gisfile 
c 
c 
15 format(A) 
open(unit=7,file=chnnet16.ctl) 
read(7,15) header 
read(7,15) infile 
read(7,15) chnfile 
read(7,15) holefile 
read(7,15) gisfile 
read(7,*) iopt,iopt2 
c 
open(unit=8,file=infile) 
open(unit=9,file=chnfile) 
open(unit=10,file=holefile) 
if(iopt.eq.1) open(unit=11,file=gisfile) 
c 
write(10,15) header 
c 
NLOC = 1 
SSL = 0. 
SELEV = 0. 
MAXSL = -99999. 
minsl = 99999. 
MAXELEV = -99999. 
MINELEV = 99999. 
C 
c 
n = 1 
nn = 0 
nmax = 1000 
maxrow = -999 
maxcol = -999 
minrow = 9999 
mincol = 9999 
ncell = 0 
n2 = 0 
elold = 999999 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 I-10 November 2004 
nold = 0 
c 
c---- read output from sorting subroutine (SORTGRD1) 
c 
100 if(iopt2.eq.1) then 
c 
c------- regional model input from grdsort7 
read(8,*,END=130) loc,x(n),y(n),lat,lon,row(n),col(n), 
4 el,slp,asp,soilt, 
5 soild,geol,topo,vegt,vegc, 
6 (rblock(j),j=1,36) 
c 
else 
c 
c------- site model input from sortgrd1 
read(8,*,END=130) loc,x(n),y(n),lat,lon,row(n),col(n), 
4 el,slp,asp,soilt,dclass 
5 soild,geol,topo,vegt,vegc, 
6 (rblock(j),j=1,36) 
endif 
locid(row(n),col(n)) = loc 
elev(row(n),col(n)) = el 
c 
c---- option for generating grid files for mapping 
c 
if(iopt.eq.1) then 
write(11,101) x(n),y(n),elev(row(n),col(n)), 
1 soilt,soild,geol,topo,vegt,vegc 
101 format(1x,2f11.1,f7.0,i4,f7.2,4i40) 
endif 
c 
c 
if(elev(row(n),col(n)).gt.elold) then 
write(*,106) n,elev(row(n),col(n)),elold 
106 format(1x,error in sequence: n = ,i8,elev = ,f8.2, 
1 previous = ,f8.2) 
stop 
endif 
elold = elev(row(n),col(n)) 
c 
if(row(n).gt.maxrow) maxrow = row(n) 
if(col(n).gt.maxcol) maxcol = col(n) 
if(row(n).lt.minrow) minrow = row(n) 
if(col(n).lt.mincol) mincol = col(n) 
if(nold.eq.1000) then 
write(*,107) n,minrow,maxrow,mincol,maxcol,elold 
107 format(1x,i8,4i5,f8.0) 
nold = 0 
endif 
C 
if(el.eq.-9999.) goto 120 
ncell = ncell + 1 
if(lon.lt.0) lon = -lon 
SSL = SSL + slp 
SELEV = SELEV + ELEV(row(n),col(n)) 
IF (MAXSL.LE.slp) MAXSL = slp 
if(minsl.ge.slp) minsl = slp 
IF (MAXELEV.LE.ELEV(row(n),col(n))) 
1 MAXELEV = ELEV(row(n),col(n)) 
IF (MINELEV.GE.ELEV(row(n),col(n))) 
1 MINELEV = ELEV(row(n),col(n)) 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 I-11 November 2004 
120 n = n + 1 
GOTO 100 
c 
c 
130 n = n-1 
rown = maxrow 
coln = maxcol 
NLOC = n 
AVGSL = SSL/ncell 
AVGELEV = SELEV/ncell 
C 
WRITE(*,135) NLOC,ncell,AVGELEV,MAXELEV,MINELEV,AVGSL, 
1 maxsl,MINSL 
WRITE(10,135) NLOC,ncell,AVGELEV,MAXELEV,MINELEV,AVGSL, 
1 maxsl,MINSL 
c 
135 FORMAT(/1X,Total number of grid cells = ,I8, 
1 /1x,Total number of valid cells = ,i8, 
2 /1X,AVERAGE ELEVATION OF SAMPLE = ,F8.1, 
3 /1X,MAXIMUM ELEVATION OF SAMPLE = ,F8.1, 
4 /1X,MINIMUM ELEVATION OF SAMPLE = ,F8.1, 
5 /1X,AVERAGE SLOPE OF SAMPLE = ,F8.1, 
6 /1X,MAXIMUM SLOPE OF SAMPLE = ,F8.1, 
7 /1x,MINIMUM SLOPE OF SAMPLE = ,F8.1,//) 
c 
C 
if(iopt.eq.1) close(11) 
pause 
c 
c---- initialize grid 
c 
do 70 i = minrow-1,maxrow+1 
do 70 j = mincol-1,maxcol+1 
flowout(i,j) = 1. 
flowin(i,j) = 0. 
totout(i,j) = 0. 
totin(i,j) = 0. 
iwat(i,j) = 0 
iout(i,j) = 0 
pond(i,j) = -1. 
run(i,j) = 0. 
hole(i,j) = 0 
if((i.lt.minrow.or.i.gt.maxrow).or. 
1 (j.lt.mincol).or.(j.gt.maxcol)) then 
elev(i,j) = -9999. 
endif 
if(elev(i,j).eq.-9999.) iwat(i,j) = -3 
70 continue 
c 
iter = 0. 
totout2 = 0. 
400 nrun = 0 
iter = iter + 1 
edge = 1 
totflow = 0. 
niwat = 1 
c 
do 250 i = 1,nloc 
row1 = row(i) 
col1 = col(i) 
c 
c 
c ------------- bypass edges of model domain 
c 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 I-12 November 2004 
if(iwat(row1,col1).eq.-3) goto 250 
c 
if(row1.le.minrow.or.row1.ge.maxrow) then 
iwat(row1,col1) = -3 
goto 250 
endif 
if(col1.le.mincol.or.col1.ge.maxcol) then 
iwat(row1,col1) = -3 
goto 250 
endif 
c 
elmin = elev(row1,col1) 
iout(row1,col1) = 0 
if(iter.gt.1) then 
c 
flowout(row1,col1) = flowin(row1,col1) 
totout(row1,col1) = totout(row1,col1) + 
1 flowout(row1,col1) 
flowin(row1,col1) = 0. 
c 
endif 
c 
c 
c ---------------- start flow routing ------------------- 
c 
elhole = 9999999. 
do 230 ir = -1,1 
do 230 ic = -1,1 
c 
if(ir.eq.0.and.ic.eq.0) goto 230 
if(elhole.gt.elev(row1+ir,col1+ic)) 
1 elhole = elev(row1+ir,col1+ic) 
if((elev(row1+ir,col1+ic).le.elmin).and. 
1 (locid(row1,col1).lt.locid(row1+ir,col1+ic)))then 
if(iout(row1+ir,col1+ic).eq.locid(row1,col1)) 
1 goto 230 
row2 = row1+ir 
col2 = col1+ic 
elmin = elev(row2,col2) 
iout(row1,col1) = locid(row2,col2) 
endif 
230 continue 
if(iout(row1,col1).ne.0) then 
flowin(row2,col2) = flowout(row1,col1) 
1 + flowin(row2,col2) 
run(row2,col2) = flowin(row2,col2) 
if(iwat(row2,col2).eq.0) 
1 iwat(row2,col2) = locid(row2,col2) 
C 
else 
c 
c -------------- 20th order hole effect correction 
c 
pond(row1,col1) = elhole - elmin 
ih = 1 
245 ih = ih + 1 
if(ih.gt.20) goto 285 
hole(row1,col1) = ih 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 I-13 November 2004 
write(*,247) iter,ih,x(i),y(i),elev(row1,col1), 
1 iout(row1,col1),pond(row1,col1) 
c 
write(10,247) iter,ih,x(i),y(i),elev(row1,col1), 
2 iout(row1,col1),pond(row1,col1) 
247 format(2i4,3f11.1,i5,f12.2) 
c 
c 
do 260 ir = -ih,ih 
do 260 ic = -ih,ih 
if(((ir.le.ih-1).and.(ir.ge.-(ih-1))) 
1 .and.((ic.le.ih-1).and.(ic.ge.-(ih- 
1)))) goto 260 
if(elhole.gt.elev(row1+ir,col1+ic)) 
1 elhole = elev(row1+ir,col1+ic) 
if(elev(row1+ir,col1+ic).le.elmin) then 
if((iout(row1+ir,col1+ic).ne.locid(row1,col1)) 
1 .and.(locid(row1+ir,col1+ic).gt. 
2 locid(row1,col1))) then 
row2 = row1+ir 
col2 = col1+ic 
elmin = elev(row2,col2) 
iout(row1,col1) = 
locid(row2,col2) 
endif 
endif 
260 continue 
c 
if(iout(row1,col1).eq.0) goto 245 
c 
flowin(row2,col2) = 
1 flowout(row1,col1) + flowin(row2,col2) 
run(row2,col2) = flowin(row2,col2) 
if(iwat(row2,col2).eq.0) 
1 iwat(row2,col2) = locid(row2,col2) 
c 
endif 
c 
c --------------------------------------------------- 
c 
285 continue 
totflow = totflow + flowout(row1,col1) 
c 
if(flowout(row1,col1).gt.0.) then 
irun = 1 
else 
irun = 0 
endif 
nrun = nrun + irun 
c 
250 continue 
c 
c 
c------ calculate total outflow 
c 
totout2 = 0. 
do 550 i = 1,nloc 
if(iwat(row(i),col(i)).ne.-3) goto 550 
flowout(row(i),col(i)) = 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 I-14 November 2004 
1 flowout(row(i),col(i)) + flowin(row(i),col(i)) 
flowin(row(i),col(i)) = 0. 
totout2 = totout2 + flowout(row(i),col(i)) 
550 continue 
c 
c------------- hole effect bypass 
c 
if(iter.gt.30) goto 500 
c 
c ----------- continue iteration if exces ppt still exists 
c up to maximum iteration of 30 
c 
if(nrun.gt.0) then 
WRITE(10,*) ITER,NRUN,TOTOUT2 
goto 400 
endif 
500 continue 
c 
do i = 1,nloc 
write(9,705) x(i),y(i),row(i),col(i),locid(row(i),col(i)), 
1 iwat(row(i),col(i)),iout(row(i),col(i)), 
2 hole(row(i),col(i)),totout(row(i),col(i)), 
3 pond(row(i),col(i)) 
705 format(1x,2f11.1,1x,2i4,3i8,i5,g14.6,f7.1) 
c 
enddo 
close(8) 
close(9) 
stop 
end 
c 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 November 2004 
APPENDIX J 
DEVELOPMENT OF GEOSPATIAL INPUT PARAMETERS USING VEGCOV01 V1.0 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 November 2004 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 J-1 November 2004 
J1. NAME OF ROUTINE/MACRO WITH VERSION/OS/HARDWARE 
ENVIRONMENT AND USER INFORMATION 
Name of software routine: VEGCOV01 V1.0, 
OS and hardware environment: Windows NT 4.0, Pentium Pro PC 
Computer Identification: SM321276 with a USGS specific host-name P720dcasr 
Software Users: Joseph Hevesi (916-278-3274), Alan Flint (916-278-3221) 
User Location: U.S. Geological Survey, Room 5000E, Placer Hall, 6000 J Street, Sacramento, 
CA 95819-6129 
J2. NAME OF COMMERCIAL SOFTWARE WITH VERSION/OS/HARDWARE 
USED TO DEVELOP ROUTINE/MACRO 
The source code for VEGCOV01 V1.0 was developed using the standard FORTRAN77 
programming language. The source code was written, debugged, and compiled (for PC platforms 
using INTEL processors) using DIGITAL Visual Fortran with Microsoft Developer 
Studio, V. 5.0. 
J3. GENERAL DESCRIPTION OF ROUTINE/MACRO 
VEGCOV01 V1.0 is a FORTRAN77 routine developed in accordance with AP-SI.1Q, 
specifically for the analysis/model activity documented in this report. The routine source code 
(VEGCOV01.FOR), compiled executable file (VEGCOV01.EXE), routine control file 
(VEGCOV01.CTL), input and output files used for routine validation, supplemental files created 
as part of validation testing, and a copy of this appendix, are located under the directory 
VEGCOV01 on a CD-ROM labeled GEOINPUT-2. The routine source code, control file, and 
the input and output files are ASCII text files that can be read using any standard ASCII text 
editor and can be imported into standard word processing applications such as Microsoft Word. 
The executable file can be used to run VEGCOV01 V1.0 on any PC with an INTEL processor 
(with adequate RAM). 
J4. TEST PLAN FOR THE SOFTWARE ROUTINE VEGCOV01 V1.0: 
 Explain whether this is a routine or macro and describe what it does: 
The software routine, VEGCOV01 V1.0, is used in the development of the geospatial 
parameter input files for INFIL 2.0. The routine changes the saturated hydraulic 
conductivity of the Yucca Mountain Tuff of the Paintbrush Group (rock type 324). The 
different saturated hydraulic conductivity is assigned if the exposed Yucca 
Mountain Tuff is north of 4082606.93 m (rock type 309 is assigned) or south 
of 4079955.91 m north (rock type 308 is assigned) on Yucca Mountain. 
The functions of VEGCOV01 V1.0 are executed using a single routine control file named 
VEGCOV01.CTL. The file defines the input and output file names. 
 Listing of Control File (VEGCOV01.CTL) 
vegcov01.ctl (header line) 
30mgrd01.sr1 (primary input file) 
vegtyp01.xyz (auxiliary input file) 
30mgrd04.sr1 (output file) 
0 0 (control options set to 0, 0) 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 J-2 November 2004 
 Example listing of input file, 30MGRD01.SR1 (only the first 20 lines of the file 
are shown): 
1 546191. 4087833. 36.9372 116.4813 1 52 1969. 25 206 
5 1 0.20 201 4 -99 -99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
2 546221. 4087833. 36.9372 116.4810 1 53 1969. 28 147 
5 1 0.17 201 4 -99 -99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
3 546191. 4087803. 36.9370 116.4813 2 52 1959. 23 199 
5 1 0.23 201 4 -99 -99 1 0 0 7 7 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 18 
4 546161. 4087833. 36.9372 116.4816 1 51 1955. 30 241 
5 1 0.14 201 4 -99 -99 0 0 0 0 0 0 0 2 25 22 0 0 2 2 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
5 546221. 4087803. 36.9370 116.4810 2 53 1955. 28 140 
5 1 0.17 201 4 -99 -99 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 7 6 0 0 8 7 0 0 22 25 
6 546191. 4087773. 36.9367 116.4813 3 52 1951. 20 188 
5 1 0.27 201 4 -99 -99 1 11 4 2 2 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 14 16 
7 546251. 4087833. 36.9372 116.4806 1 54 1950. 36 125 
5 1 0.06 201 4 -99 -99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 3 3 2 5 3 32 28 0 0 0 0 0 0 0 0 
8 546161. 4087803. 36.9370 116.4816 2 51 1949. 27 241 
5 1 0.18 201 4 -99 -99 1 0 0 13 13 5 12 2 18 15 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 11 
9 549311. 4087833. 36.9371 116.4463 1 156 1944. 23 180 
5 1 0.23 206 4 -99 -99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
10 546221. 4087773. 36.9367 116.4810 3 53 1944. 28 134 
5 1 0.17 201 4 -99 -99 2 3 1 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 1 13 11 0 2 8 8 13 4 19 22 
11 546161. 4087773. 36.9367 116.4816 3 51 1943. 24 237 
5 1 0.22 201 4 -99 -99 1 16 6 11 12 5 7 1 14 12 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 11 
12 546191. 4087743. 36.9364 116.4813 4 52 1942. 20 175 
5 1 0.27 201 4 -99 -99 15 11 5 2 1 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 6 15 16 
13 546131. 4087833. 36.9372 116.4820 1 50 1939. 33 247 
5 1 0.10 201 4 -99 -99 0 0 0 0 0 0 0 3 28 25 10 11 6 6 2 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
14 549281. 4087833. 36.9371 116.4466 1 155 1939. 26 221 
5 1 0.19 206 4 -99 -99 0 0 0 0 0 0 0 1 9 7 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
15 549341. 4087833. 36.9371 116.4459 1 157 1939. 26 155 
5 1 0.19 206 4 -99 -99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 1 9 7 0 0 0 0 0 0 0 0 
16 546251. 4087803. 36.9370 116.4806 2 54 1938. 35 124 
5 1 0.08 201 4 -99 -99 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 4 4 3 8 5 29 26 12 15 16 15 0 0 18 21 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 J-3 November 2004 
17 546161. 4087743. 36.9364 116.4816 4 51 1937. 23 229 
5 1 0.23 201 4 -99 -99 17 18 16 17 9 1 3 1 9 7 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 11 
18 546131. 4087803. 36.9370 116.4820 2 50 1933. 33 252 
5 1 0.10 201 4 -99 -99 1 0 0 15 14 9 26 20 28 25 7 9 5 5 2 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 11 
19 546281. 4087833. 36.9372 116.4803 1 55 1932. 34 130 
5 1 0.09 201 4 -99 -99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 4 8 12 17 16 31 27 0 0 0 0 0 0 0 0 
20 549371. 4087833. 36.9371 116.4456 1 158 1932. 27 153 
5 1 0.18 206 4 -99 -99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 1 13 11 0 0 0 0 0 0 0 0 
 Example listing of output file, 30MGRD04.SR1 (only the first 20 lines of the file 
are shown): 
1 546191. 4087833. 36.9372 116.4813 1 52 1969. 25 206 5 1 
0.20 201 4 4 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
2 546221. 4087833. 36.9372 116.4810 1 53 1969. 28 147 
5 1 0.17 201 4 4 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
3 546191. 4087803. 36.9370 116.4813 2 52 1959. 23 199 
5 1 0.23 201 4 4 30 1 0 0 7 7 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 18 
4 546161. 4087833. 36.9372 116.4816 1 51 1955. 30 241 
5 1 0.14 201 4 4 30 0 0 0 0 0 0 0 2 25 22 0 0 2 2 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
5 546221. 4087803. 36.9370 116.4810 2 53 1955. 28 140 
5 1 0.17 201 4 4 30 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 7 6 0 0 8 7 0 0 22 25 
6 546191. 4087773. 36.9367 116.4813 3 52 1951. 20 188 
5 1 0.27 201 4 4 30 1 11 4 2 2 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 14 16 
7 546251. 4087833. 36.9372 116.4806 1 54 1950. 36 125 
5 1 0.06 201 4 4 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 3 3 2 5 3 32 28 0 0 0 0 0 0 0 0 
8 546161. 4087803. 36.9370 116.4816 2 51 1949. 27 241 
5 1 0.18 201 4 4 30 1 0 0 13 13 5 12 2 18 15 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 11 
9 549311. 4087833. 36.9371 116.4463 1 156 1944. 23 180 
5 1 0.23 206 4 10 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
10 546221. 4087773. 36.9367 116.4810 3 53 1944. 28 134 
5 1 0.17 201 4 4 30 2 3 1 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 1 13 11 0 2 8 8 13 4 19 22 
11 546161. 4087773. 36.9367 116.4816 3 51 1943. 24 237 
5 1 0.22 201 4 4 30 1 16 6 11 12 5 7 1 14 12 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 11 
12 546191. 4087743. 36.9364 116.4813 4 52 1942. 20 175 
5 1 0.27 201 4 4 30 15 11 5 2 1 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 6 15 16 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 J-4 November 2004 
13 546131. 4087833. 36.9372 116.4820 1 50 1939. 33 247 
5 1 0.10 201 4 4 30 0 0 0 0 0 0 0 3 28 25 10 11 6 6 2 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
14 549281. 4087833. 36.9371 116.4466 1 155 1939. 26 221 
5 1 0.19 206 4 10 30 0 0 0 0 0 0 0 1 9 7 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
15 549341. 4087833. 36.9371 116.4459 1 157 1939. 26 155 
5 1 0.19 206 4 10 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 1 9 7 0 0 0 0 0 0 0 0 
16 546251. 4087803. 36.9370 116.4806 2 54 1938. 35 124 
5 1 0.08 201 4 4 30 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 4 4 3 8 5 29 26 12 15 16 15 0 0 18 21 
17 546161. 4087743. 36.9364 116.4816 4 51 1937. 23 229 
5 1 0.23 201 4 4 30 17 18 16 17 9 1 3 1 9 7 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 11 
18 546131. 4087803. 36.9370 116.4820 2 50 1933. 33 252 
5 1 0.10 201 4 4 30 1 0 0 15 14 9 26 20 28 25 7 9 5 5 2 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 11 
19 546281. 4087833. 36.9372 116.4803 1 55 1932. 34 130 
5 1 0.09 201 4 4 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 4 8 12 17 16 31 27 0 0 0 0 0 0 0 0 
20 549371. 4087833. 36.9371 116.4456 1 158 1932. 27 153 
5 1 0.18 206 4 10 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 1 13 11 0 0 0 0 0 0 0 0 
 Listing of FORTRAN77 Source code: 
A listing of the FORTRAN77 source code for the routine VEGCOV01 V1.0 along with 
examples of the input and output files used in the test plan are included at the end of this 
appendix. 
 Description of test(s): 
To evaluate the accuracy of the functions performed by the routine, it is necessary to 
perform a visual inspection of the input file, 30MGRD01.SR1 for rock type 324 and 
verify that the rock type was changed in file, 30MGRD04.SR1 to 309 if the grid block 
location is north of northing 4082606.93 m and changed to rock type 308 if the grid block 
location is south of 4079955.91 m. Extractions of the input file and output file will be 
imported into EXCEL and it will be determined visually that the criteria are met. 
 Specify the range of input values to be used and why the range is valid: 
The input values used are those grid block locations for which the original map unit rock 
type is 324. 
J5. TEST RESULTS 
 Output from test (explain difference between input range used and possible input): 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 J-5 November 2004 
The acceptance criteria for the testing of VEGCOV01 is that the rock type 324 is changed 
in the output file to 309 if the grid block location is north of northing 4082606.93 m and 
changed to rock type 308 if the grid block location is south of 4079955.91 m. 
 Description of how the testing shows that the results are correct for the specified 
input: 
If the testing results in output that conforms to the above criteria then the results are 
correct acceptable. 
 List limitations or assumptions to this test case and code in general: 
The test case is limited to geospatial input rock type 324. 
 Electronic files identified by name and location: 
The following electronic files including VEGCOV01 V1.0 and selected input and 
output files are provided: 
VEGCOV01.CTL: Control file used for specifying input and output files. A printout 
of the control file is included as part of this appendix. 
VEGCOV01.FOR: FORTRAN source code listing for the routine VEGCOV01. A 
printout of the source code is included as part of this appendix. 
VEGCOV01.EXE: Executable file for the routine VEGCOV01, compiled for INTEL 
processors. 
Input file for test case: 30MGRD01.SR1 
Output file for test case: 30MGRD04.SR1 
1. Results from test case 
The comparison between data in the input file and output file for VEGCOV01 confirm that 
the routine performs as required and meets the acceptance criteria. 
 Listing of source code for VEGCOV01 V1.0 
program vegcov01 
c 
c Program to fix problem in defining hydro properties 
c for Day et al TPY unit 24 (Yucca Mt Tuff). New properties 
c assigned according to northing position. This model, 
c which applies only to TPY, was developed by Lorrie Flint 
c on 7/17/98 
c 
c This program also provides estimates of plant cover based 
c on soil thickness for upland areasslope (steeper slopes assumed to have 
less plants), 
c aspect (north facing slopes assumed to have more plants), 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 J-6 November 2004 
c and geology (colluvium/alluvium assumed to have more plants) 
c 
integer rocktype,soiltype,depthclass,topoid,imod,irock 
integer vegt,vegc,slp,asp,row,col 
real slope,aspect,elev 
real x,y,depth 
real x2(300000),y2(300000),vegtyp(300000) 
real lat,lon 
real ridge(40) 
integer block(40) 
c 
character*20 sortfile,outfile,vegtype 
character*80 header 
c 
5 format(A) 
open(unit=7,file=vegcov01.ctl) 
read(7,5) header 
read(7,5) sortfile 
read(7,5) vegtype 
read(7,5) outfile 
read(7,*) imod, irock 
c 
open(unit=8,file=sortfile) 
open(unit=9,file=outfile) 
open(unit=10,file=vegtype) 
c 
n = 1 
50 read(10,*,end=100) x2(n),y2(n),vegtyp(n) 
n=n+1 
goto 50 
100 n = n-1 
pause 
c 
n2 = 0 
200 read(8,*,end=900) locid,x,y,lat,lon, 
1 row,col,elev,slp,asp,soiltype,depthclass, 
2 depth,rocktype,topoid, 
3 vegt,vegc,(block(j), j=1,36) 
c 
c 
c----- simple veg cover model: cover = 30% 
c 
if(imod.eq.0) then 
vegc = 30 
else 
if(depth.le.0.4) 
1 vegc = int((0.5*depth + 0.05)*100) 
if(depth.gt.0.4.and.depth.le.2.4) 
1 vegc = int((0.05*depth + 0.23)*100) 
if(depth.gt.2.4) 
1 vegc = 35 
vegc = int(((elev-1200)/1000)*vegc + vegc) 
endif 
c 
c 
c 
c----- TPY correction by Lorrie Flint 
c 
if(irock.eq.1) then 
if(rocktype.eq.324) then 
if(y.ge.4082606.93) then 
rocktype = 309 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 J-7 November 2004 
else if (y.lt.4079955.91) then 
rocktype = 308 
endif 
endif 
endif 
c 
c----- use regional vegtypes for Yucca Mountain 
c 
if(imod.eq.2) then 
do i = 1,n 
if((x.lt.x2(i)+10.and.x.gt.x2(i)-10).and. 
1 (y.lt.y2(i)+10.and.y.gt.y2(i)-10)) then 
vegt = vegtyp(i) 
endif 
enddo 
endif 
c 
c 
WRITE(9,711) locid,x,y,lat,lon, 
1 row,col,elev,slp,asp,soiltype,depthclass, 
2 depth,rocktype,topoid, 
3 vegt,vegc,(block(j), j=1,36) 
c 
711 FORMAT(1X,i8,2f10.0,2f9.4,2i5,F7.0,3i4,i3,f7.2,4i4, 
1 36i3) 
c 
if(n2.eq.1000) then 
write(*,*) locid, n2 
n2 = 0 
endif 
n2 = n2 + 1 
goto 200 
c 
c 
c 
900 continue 
close(9) 
stop 
end 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 J-8 November 2004 
INTENTIONALLY LEFT BLANK 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 November 2004 
APPENDIX K 
EXTRACTION OF WATERSHED MODELING DOMAINS USING WATSHD20 V1.0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 November 2004 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 K-1 November 2004 
K1. NAME OF ROUTINE/MACRO WITH VERSION/OS/HARDWARE 
ENVIRONMENT AND USER INFORMATION 
Name of software routine: WATSHD20 V1.0, 
OS and hardware environment: Windows NT 4.0, Pentium Pro PC 
Computer Identification: SM321276 with a USGS specific host-name P720dcasr 
Software Users: Joseph Hevesi (916-278-3274), Alan Flint (916-278-3221) 
User Location: U.S. Geological Survey, Room 5000E, Placer Hall, 6000 J Street, Sacramento, 
CA 95819-6129 
K2. NAME OF COMMERCIAL SOFTWARE WITH VERSION/OS/HARDWARE 
USED TO DEVELOP ROUTINE/MACRO 
The source code for WATSHD20 V1.0 was developed using the standard FORTRAN77 
programming language. The source code was written, debugged, and compiled (for PC platforms 
using INTEL processors) using DIGITAL Visual Fortran with Microsoft Developer Studio, V. 
5.0. 
K3. GENERAL DESCRIPTION OF ROUTINE/MACRO 
WATSHD20 V1.0 is a FORTRAN77 routine developed in accordance with AP-SI.1Q, 
specifically for the analysis/model activity documented in this report. The routine source code 
(WATSHD20.FOR), compiled executable file (WATSHD20.EXE), routine control file 
(WATSHD20.CTL), input and output files, validation test files, and a copy of this appendix, are 
located under the directory WATSHD20 on a CD-ROM labeled GEOINPUT-2. The routine 
source code, control file, and the input and output files are ASCII text files that can be read using 
any standard ASCII text editor and can be imported into standard word processing or spreadsheet 
applications such as Microsoft WORD and EXCEL. The executable file can be used to run 
WATSHD20 V1.0 on any PC with an INTEL processor (with adequate RAM). 
The output developed by WATSHD20 V1.0 is required for the development of the geospatial 
parameter input file for INFIL V2.0 (USGS 2000 [DIRS 139422]). The output files created by 
WATSHD20 are used directly as input to the program INFIL V2.0. 
K4. TEST PLAN FOR THE SOFTWARE ROUTINE WATSHD20 V1.0 
 Explain whether this is a routine or macro and describe what it does: 
WATSHD20 V1.0 is the final routine applied in a sequence of FORTRAN 77 routines 
that are used in the development of the geospatial parameter input files for INFIL V2.0. 
The first function performed by WATSHD20 is the extraction of a watershed model 
domain based on the surface water flow routing parameters obtained from the input file, 
30MGRD01.C16 and the specified easting and northing coordinates of the grid cell for 
which the upstream area is being extracted. The grid cell coordinates are supplied as 
input in the routine control file and are selected based on the flow accumulation term 
included in the file, 30MGRD01.C16. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 K-2 November 2004 
A second function performed by WATSHD20 V1.0 is the transfer of the flow routing 
terms from the input file (30MGRD01.SR1) to the output file defining the watershed 
being modeled. This includes the second flow routing term (the downstream grid cell 
number) and the flow accumulation term calculated by CHNNET16. WATSHD20 
modifies the second flow routing term, which is the downstream grid cell number, by 
identifying the perimeter grid cells surrounding the active cells for the extracted 
watershed model area and assigning these cells a downstream grid cell number 
of 3. If the grid cells have already been assigned a value of 3 in column 6 of 
30MGRD01.C16 (these are the edges of the base-grid), The 3 value is carried over by 
WATSHD20 as the downstream cell number. The 3 values are used for identifying 
the perimeter grid cells, which are on the outer side of the surface water flow divide 
defining the active cells in the watershed model domain. The perimeter cells can rout to 
other perimeter cells, but cannot rout to the active watershed cells. 
 Listing of FORTRAN77 Source code: 
A listing of the FORTRAN77 source code for the routine WATSHD20 V1.0 along with 
examples of the input and output files used in the test plan are included at the end of 
this appendix. 
 Description of test(s): 
A validation test of the functions performed by the routine was conducted by a visual 
evaluation of the extracted watershed area with the topography defined by the elevation 
values. Using applications in ARCVIEW the map image of the extracted watershed 
area and the flow accumulation term is superimposed with a contour or shaded relief 
image of the topography to provide a method of testing that the routine has functioned 
correctly. The test criteria used in the visual evaluation consists of verifying that the 
extracted active model grid cells included in the output file created by WATSHD20 
define an area that is completely bounded by surface water flow divides, with the 
exception of the grid cell defining the watershed outflow location. The grid cells 
defining the watershed perimeter must all have values of 3 for the downstream grid 
cell parameter, and the watershed perimeter cells must completely enclose the active 
model cells. The grid cell defining the watershed outflow location is specified in the 
routine control file, and the total number of active cells in the watershed model domain 
must equal 1 plus the number of cells upstream from the cell defining the watershed 
outflow location. The total number of lines or cells included in the output file must be 
equal to the number of active cells plus the number of perimeters cells. 
Additional test criteria are similar to those applied in the test plan for CHNNET16 
V1.0. The flow accumulation term is used to visualize the surface water routing 
network within the extracted watershed area, which in turn provides a method of testing 
the calculated flow routing parameters. The flow accumulation term must agree with 
the expected channel network defined by the topography (within the limitations of the 
standard D8 routing algorithm). Major stream channels consisting of hundreds or 
thousands of upstream cells must occur along the bottom of washes and not along 
ridgetops. The flow accumulation term must systematically increase in the downstream 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 K-3 November 2004 
direction (up-hill flow cannot occur). The flow accumulation term must systematically 
increase with a decrease in elevation, but cannot become greater than the sum of all 
contributing upstream grid cells. All flow routing must be convergent and cannot 
terminate unless a major sink is reached. All cells can only rout to one cell (divergent 
flow is not allowed). 
An additional test performed as part of the routine validation is an inspection of the 
output file containing the flow routing parameters. The criteria of the test is that the 
output file must be in the proper format with the correct number and sequencing 
of 55 columns. The number of rows is equal to the total number of grid cells used to 
define the watershed model domain, including both the active model cells and the 
inactive perimeter cells that are used to define the watershed boundary. 
 Specify the range of input values to be used and why the range is valid: 
The input range is completely determined by the parameters in the files, 
30MGRD04.SR1 and 30MGRD01.C16 because this is the only source of input provided 
to the routine. The files are specified in the file, WATSHD20.CTL, which is the routine 
control file for WATSHD20 and is required for the execution of the routine. 
30MGRD04.SR1 is a column-formatted ASCII file consisting of 253,597 rows 
and 53 columns (Appendix J). 30MGRD01.C16 is a column formatted ASCII file 
consisting of 253, 597 rows and 10 columns. For the parameters used by the routine, 
the input ranges are specified by the following: 
30MGRD01.C16 is the main input file used by WATSHD20 V1.0. Parameters in the 
first 9 columns provided by 30MGRD01.C16 are used as input by functions in 
WATSHD20 V1.0: 
1. Grid cell easting coordinate (column 1) 
2. Grid cell northing coordinate (column 2) 
3. Grid cell row index (column 3, integers from 1 to 691) 
4. Grid cell column index (column 4, integers from 1 to 367) 
5. Grid cell number (column 5, integers from 1 to 253,597) 
6. Perimeter grid cell identifier (column 6, integers from 3 to 253,597) 
7. The downstream grid cell number (column 7, integers from 1 to 253,597) 
8. Index for identifying grid cells in depressions (column 8, integers 
from 0 to 20) 
9. The flow accumulation term (column 9, integers from 0 to 155,471) 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 K-4 November 2004 
The input range provided by the input file, 30MGRD01.C16 is valid because the values 
were obtained from ARCINFO using the source data as input (see Appendix D for 
description of source data used for 30MSITE.INP) and a sequence of applied software 
routines described in Appendices F through L of this report. 
All Parameters provided as input from the file, 30MGRD04.SR1 are transferred to the 
output file. WATSHD20 does not modify any of the 53 input columns provided by 
30MGRD04.SR1. 
K5. TEST RESULTS 
 Output from test: 
The output for the test case is the main output file, WT2.W20 generated by 
WATSHD20 V1.0. The output file is used to generate raster-format map image files in 
TRANSFORM and ARCVIEW, which are used only as a part of the validation test 
plan. 
 Description of how the testing shows that the results are correct for the 
specified input: 
The ARCVIEW map image of the main output file used for the test plan (file 
WT2.W20) shows that the correct watershed area has been extracted from the input file 
(30MGRD04.SR1) based on the comparison of the 3,142 extracted cells with the 
topography. 
The TRANSFORM map image of elevation for the grid cells included in the output file 
shows that the elevations of all grid cells upstream of the outflow cell specified in the 
control file have higher elevations than the outflow cell. The only exception to this are 
the inactive perimeter cells downstream of the specified outflow cell. The 
TRANSFORM map image of the 2nd flow routing parameter (the downstream cell 
number) indicates that the 282 perimeter cells have been correctly identified by 
WATSHD20. The perimeter cells completely enclose the active model cells, and with 
the exception of the one grid cell downstream from the outflow cell identified in the 
control file, all perimeter cells are along surface water flow divides. 
These results indicate that the test criteria for WATSHD20 have been met and the 
routine is functioning correctly. 
The TRANSFORM map image of the flow accumulation term indicates that the 
number of upstream cells for the identified outflow cell (2,859) matches the total 
number of active grid cells extracted by WATSHD20, minus 1 for the outflow cell 
which is itself an active model cell. These results were verified in the EXCEL 
worksheet file, WT2-W20.XLS included as part of the supporting information. The 
worksheet was also used to verify that the total number of grid cells in WT2.W20 equals 
the 2,860 active cells plus the 282 perimeter cells. 
The TRANSFORM map images of the flow accumulation term indicate that surface 
water flow is being routed correctly within the watershed. All flow is convergent and is 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 K-5 November 2004 
routed towards the watershed outflow location. Major stream channels consisting of 
hundreds or thousands of upstream cells occur along the bottom of washes and not 
along ridgetops. The flow accumulation term systematically increase in the downstream 
direction (up-hill flow doe not occur). The flow accumulation term systematically 
increases with a decrease in elevation, but cannot does not become greater than the sum 
of all contributing upstream grid cells. 
These results indicate that the test criteria for WATSHD20 have been met and the 
routine is functioning correctly. 
Visual comparison of the input and output files indicates the correct format and 
ordering of columns for the output file (see example printouts included under 
supporting information). The output file has 55 columns, the first flow routing 
parameter is in column 1, and the 2nd flow routing parameter and the flow accumulation 
term have been correctly added as columns 8 and 9. 
Inspection of the last 20 lines of the output file, WT2.W20 (see printout provided under 
supporting information) indicates that the fifth to last line (hi-lighted in red) is 
the watershed outflow cell identified in the control file with the 
coordinates 549,671 easting, 4,076,913 northing. The grid cell has 2,859 upstream 
cells (indicated in column 9) and routs surface water to cell number 121,694 (indicated 
in column 8), which is the grid cell identified by the last line of the file. Values of 3 in 
column 8 identify perimeter cells that are used only to define the boundary of the 
watershed. The seventh to last line (hi-lighted in blue) is the one grid cell upstream of 
the watershed outflow cell, and has 2,858 upstream cells. These results indicate that 
WATSHD20 correctly performed the intended modifications to the 2nd flow routing 
term and that the watershed outflow location is correctly defined. No unintended 
modifications occurred to input parameters obtained from 30MGRD04.SR1, and thus all 
test criteria are satisfied. 
 List limitations or assumptions to this test case and code in general: 
The limitations of the developed test case are based on the practical limitations of 
verifying calculated parameter values for all 253, 597 grid cells included in the output 
file used for the developed test case. Validation of the entire output file used in the test 
case was performed as a visual evaluation of raster-based map images produced in 
TRANSFORM and ARCVIEW. 
 Electronic files identified by name and location: 
Electronic files are located on CD-ROM labeled GEOINPUT-2, under the 
directory WATSHD20, included as an Appendix to the report. The following 
electronic files are provided: 
WATSHD20.CTL: Input file consisting of the input and output file names for 
WATSHD20 V1.0. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 K-6 November 2004 
WATSHD20.FOR: FORTRAN source code listing for the routine WATSHD20 
V1.0. A printout of the source code is included as part of 
this appendix. 
WATSHD20.EXE: Executable file for the routine WATSHD20 V1.0, compiled 
for INTEL processors. 
30MGRD04.SR1: Input file consisting of a column-formatted, ASCII text file 
with 253,597 rows and 53 columns. This file was 
developed as the output file from VEGCOV01 V1.0 
(Appendix J). A partial printout of the first part of this file 
is included as part of this appendix. 
30MGRD01.C16: Input file consisting of a column-formatted, ASCII text file 
with 10 columns and 253,597 rows. This file contains all 
flow routing parameters developed by SORTGRD1 and 
CHNNET16 that are used by WATSHD20 to extract 
watershed model domains. 
WT2-W20.APR: ARCVIEW project file (including all files in associated 
directories) used to create the raster-based map image of 
the extracted watershed area using the output from the test 
case (the test file, WT2.W20). 
WT2-ELEV.HDF: TRANSFORM map image of elevation for the grid cells in 
the test file, WT2.W20, used to visually evaluate the 
extracted watershed area. The file is used to create the 
software routine validation test. This file is not a part of the 
routine application. 
WT2-8.HDF: TRANSFORM map image of the 2nd flow routing 
parameter (downstream cell number) obtained from the 
output file, WT2.W20. The file is used to create the 
software routine validation test. This file is not a part of the 
routine application. 
WT2-9.HDF: TRANSFORM map image of the flow accumulation term 
obtained from WT2.W20. The file is used to create the 
software routine validation test. This file is not a part of the 
routine application. 
WT2-9B.HDF: TRANSFORM map image of the flow accumulation term 
obtained from WT2.W20. The file is used to create the 
software routine validation test. This file is not a part of the 
routine application. 
WT2-9C.HDF: TRANSFORM map image of the flow accumulation term 
obtained from WT2.W20. The file is used to create the 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 K-7 November 2004 
software routine validation test. This file is not a part of the 
routine application. 
WT2-W20.XLS: EXCEL worksheet used to check the number of upstream 
cells defined by the flow accumulation term for the 
watershed outflow cell against the total number of active 
cells extracted. The worksheet is also used to check that 
the total number of lines in the output file is equal to the 
number of active cells plus the number of perimeter cells. 
This file is not a part of the routine application. 
6. Supporting Information. (Include background information, such as revision to a 
previous routine or macro, or explanation of the steps performed to run the 
software. Include listings of all electronic files and codes used). 
 Procedure for running routine: 
To run the routine WATSHD20 V1.0, the executable file (WATSHD20.EXE), the 
routine control file (WATSHD20.CTL), and the input file specified in the routine 
control file (WATSHD20.INP) must be placed in the same directory. The routine 
is executed by typing WATSHD20 in a DOS window, by double clicking on the 
file, WATSHD20.EXE in the Microsoft Windows operating system, or by typing 
in the path and filename in the RUN window of the Windows NT or Windows 98 
start menu. The input and output file names must be in the correct sequential 
order as specified in the routine control file (see example listing below). 
Example listing of routine control file, WATSHD20.CTL 
watshd20: WT-2 Wash, 2859 active cells, new model parameters (7/26/98) 
30mgrd04.sr1 (input file from VEGCOV01) 
30mgrd01.c16 (input file from CHNNET16) 
wt2.w20 (main output file) 
wt2.o20 (auxiliary output file) 
wt2.h20 (auxiliary output file) 
wt2.b20 (auxiliary output file) 
wt2.d20 (auxiliary output file) 
549671.0 4076913.0 (specified watershed discharge point) 
0 1 
 Example listing of the input file, 30MGRD04.SR1. The file contains 253,597 
lines and 53 columns (only the first 20 lines of the file are listed). 
1 546191. 4087833. 36.9372 116.4813 1 52 1969. 25 
206 5 1 0.20 201 4 -99 30 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
2 546221. 4087833. 36.9372 116.4810 1 53 1969. 28 
147 5 1 0.17 201 4 -99 30 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
3 546191. 4087803. 36.9370 116.4813 2 52 1959. 23 
199 5 1 0.23 201 4 -99 30 1 0 0 7 7 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 18 
4 546161. 4087833. 36.9372 116.4816 1 51 1955. 30 
241 5 1 0.14 201 4 -99 30 0 0 0 0 0 0 0 2 25 22 0 0 
2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 K-8 November 2004 
5 546221. 4087803. 36.9370 116.4810 2 53 1955. 28 
140 5 1 0.17 201 4 -99 30 2 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 6 0 0 8 7 0 0 22 25 
6 546191. 4087773. 36.9367 116.4813 3 52 1951. 20 
188 5 1 0.27 201 4 -99 30 1 11 4 2 2 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 14 16 
7 546251. 4087833. 36.9372 116.4806 1 54 1950. 36 125 
5 1 0.06 201 4 -99 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 3 3 2 5 3 32 28 0 0 0 0 0 0 0 0 
8 546161. 4087803. 36.9370 116.4816 2 51 1949. 27 
241 5 1 0.18 201 4 -99 30 1 0 0 13 13 5 12 2 18 15 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 11 
9 549311. 4087833. 36.9371 116.4463 1 156 1944. 23 
180 5 1 0.23 206 4 -99 30 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
10 546221. 4087773. 36.9367 116.4810 3 53 1944. 28 
134 5 1 0.17 201 4 -99 30 2 3 1 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 1 13 11 0 2 8 8 13 4 19 22 
11 546161. 4087773. 36.9367 116.4816 3 51 1943. 24 
237 5 1 0.22 201 4 -99 30 1 16 6 11 12 5 7 1 14 12 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 11 
12 546191. 4087743. 36.9364 116.4813 4 52 1942. 20 
175 5 1 0.27 201 4 -99 30 15 11 5 2 1 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 6 15 16 
13 546131. 4087833. 36.9372 116.4820 1 50 1939. 33 
247 5 1 0.10 201 4 -99 30 0 0 0 0 0 0 0 3 28 25 10 11 
6 6 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
14 549281. 4087833. 36.9371 116.4466 1 155 1939. 26 
221 5 1 0.19 206 4 -99 30 0 0 0 0 0 0 0 1 9 7 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
15 549341. 4087833. 36.9371 116.4459 1 157 1939. 26 
155 5 1 0.19 206 4 -99 30 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 1 9 7 0 0 0 0 0 0 0 0 
16 546251. 4087803. 36.9370 116.4806 2 54 1938. 35 
124 5 1 0.08 201 4 -99 30 2 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 4 4 3 8 5 29 26 12 15 16 15 0 0 18 21 
17 546161. 4087743. 36.9364 116.4816 4 51 1937. 23 
229 5 1 0.23 201 4 -99 30 17 18 16 17 9 1 3 1 9 7 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 11 
18 546131. 4087803. 36.9370 116.4820 2 50 1933. 33 
252 5 1 0.10 201 4 -99 30 1 0 0 15 14 9 26 20 28 25 7 9 
5 5 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 11 
19 546281. 4087833. 36.9372 116.4803 1 55 1932. 34 
130 5 1 0.09 201 4 -99 30 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 4 8 12 17 16 31 27 0 0 0 0 0 0 0 0 
20 549371. 4087833. 36.9371 116.4456 1 158 1932. 27 
153 5 1 0.18 206 4 -99 30 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 1 13 11 0 0 0 0 0 0 0 0 
 Example listing of the input file, 30MGRD01.C16 (see Appendix J for a more 
detailed explaination. The file contains 253, 597 lines and 10 columns (only 
the first 20 lines of the file are listed). 
546191.0 4087833.0 1 52 1 -3 0 0 
0.00000 -1.0 
546221.0 4087833.0 1 53 2 -3 0 0 
0.00000 -1.0 
546191.0 4087803.0 2 52 3 0 11 0 
0.00000 -1.0 
546161.0 4087833.0 1 51 4 -3 0 0 
0.00000 -1.0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 K-9 November 2004 
546221.0 4087803.0 2 53 5 0 26 0 
0.00000 -1.0 
546191.0 4087773.0 3 52 6 0 21 0 
0.00000 -1.0 
546251.0 4087833.0 1 54 7 -3 0 0 
0.00000 -1.0 
546161.0 4087803.0 2 51 8 0 27 0 
0.00000 -1.0 
549311.0 4087833.0 1 156 9 -3 0 0 
0.00000 -1.0 
546221.0 4087773.0 3 53 10 0 43 0 
0.00000 -1.0 
546161.0 4087773.0 3 51 11 11 32 0 
1.00000 -1.0 
546191.0 4087743.0 4 52 12 0 33 0 
0.00000 -1.0 
546131.0 4087833.0 1 50 13 -3 0 0 
0.00000 -1.0 
549281.0 4087833.0 1 155 14 -3 0 0 
0.00000 -1.0 
549341.0 4087833.0 1 157 15 -3 0 0 
0.00000 -1.0 
546251.0 4087803.0 2 54 16 0 52 0 
0.00000 -1.0 
546161.0 4087743.0 4 51 17 0 41 0 
0.00000 -1.0 
546131.0 4087803.0 2 50 18 0 57 0 
0.00000 -1.0 
546281.0 4087833.0 1 55 19 -3 0 0 
0.00000 -1.0 
549371.0 4087833.0 1 158 20 -3 0 0 
0.00000 -1.0 
 Example listing of the output file, WT2.W20 created for the test case (only the 
first 20 lines of the file are shown). This file defines a watershed model domain 
and is supplied directly to INFIL V2.0 as the geospatial parameter input file. 
Column 8 is the modified second flow routing parameter obtained from 
30MGRD01.C16. Column 9 is the flow accumulation term obtained from 
30MGRD01.C16. 
31864 547421.0 4076823.0 36.8379 116.4682 368 93 -3 
0. 1506. 10 211 5 1 0.50 314 5 5 30 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 1 1 1 
31865 547421.0 4076793.0 36.8377 116.4682 369 93 -3 
0. 1506. 8 206 5 1 0.46 314 5 5 30 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 1 1 1 
31866 547421.0 4076763.0 36.8374 116.4682 370 93 -3 
0. 1506. 7 205 10 1 0.44 314 5 5 30 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 1 1 
31867 547421.0 4076733.0 36.8371 116.4682 371 93 -3 
0. 1506. 6 205 10 1 0.42 314 5 5 30 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 1 1 
32048 547481.0 4077063.0 36.8401 116.4675 360 95 -3 
0. 1505. 10 220 5 1 0.50 314 4 3 30 1 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 1 1 1 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 K-10 November 2004 
32049 547451.0 4076913.0 36.8387 116.4678 365 94 -3 
0. 1505. 10 222 5 1 0.50 314 4 5 30 1 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 1 1 1 
32239 547481.0 4077033.0 36.8398 116.4675 361 95 -3 
0. 1504. 7 209 5 1 0.44 314 5 3 30 1 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 1 1 1 
32240 547421.0 4076853.0 36.8382 116.4682 367 93 -3 
0. 1504. 12 219 5 1 0.47 314 4 5 30 1 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 2 3 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 1 1 1 
32241 547421.0 4076703.0 36.8368 116.4682 372 93 -3 
0. 1504. 4 191 10 1 0.38 314 5 5 30 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 2 3 
32435 547511.0 4077153.0 36.8409 116.4672 357 96 -3 
0. 1503. 8 221 5 1 0.46 314 5 3 30 1 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 1 1 1 
32436 547511.0 4077123.0 36.8406 116.4672 358 96 33791 
0. 1503. 6 228 5 1 0.42 314 6 3 30 1 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 1 1 1 
32437 547481.0 4077003.0 36.8396 116.4675 362 95 33411 
0. 1503. 5 208 10 1 0.40 314 6 3 30 1 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 1 1 1 
32438 547481.0 4076973.0 36.8393 116.4675 363 95 33412 
0. 1503. 4 231 5 1 0.38 314 6 5 30 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 1 1 1 
32439 547451.0 4076943.0 36.8390 116.4678 364 94 -3 
0. 1503. 11 225 5 1 0.48 314 4 5 30 1 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 2 3 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 1 1 1 
32440 547481.0 4076943.0 36.8390 116.4675 364 95 34392 
0. 1503. 6 116 5 1 0.42 314 5 5 30 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 
0 0 0 1 1 1 
32441 547451.0 4076883.0 36.8385 116.4678 366 94 33606 
0. 1503. 6 227 10 1 0.42 314 6 5 30 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 
0 0 0 1 2 3 
32442 547451.0 4076853.0 36.8382 116.4678 367 94 33607 
0. 1503. 6 90 10 1 0.42 314 5 5 30 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 2 0 0 0 1 0 0 0 
0 0 0 1 1 1 
32443 547451.0 4076763.0 36.8374 116.4679 370 94 33415 
0. 1503. 6 82 10 1 0.42 314 5 5 30 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 0 0 0 5 4 0 0 
1 1 1 1 1 1 
32444 547451.0 4076733.0 36.8371 116.4679 371 94 33216 
0. 1503. 5 99 10 1 0.40 314 5 5 30 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 4 0 0 
1 1 1 1 1 1 
32620 547511.0 4077243.0 36.8417 116.4671 354 96 -3 
0. 1502. 10 209 5 1 0.50 314 5 3 30 1 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 1 1 1 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 K-11 November 2004 
 Example listing of the output file, WT2.W20 created for the test case (only the 
last 20 lines of the file are shown). The fifth to last line (hi-lighted in red) is the 
watershed outflow cell identified in the control file with the coordinates 549,671 
easting, 4,076,913 northing. The grid cell has 2,859 upstream cells (indicated in 
column 9) and routs surface water to cell number 121,694 (indicated in column 
8), which is the grid cell identified by the last line of the file. Values of 3 in 
column 8 identify perimeter cells that are used only to define the boundary of 
the watershed. The seventh to last line (hi-lighted in blue) is the one grid cell 
upstream of the watershed outflow cell, and has 2,858 upstream cells. 
117562 549581.0 4077003.0 36.8394 116.4439 362 165 119071 
12. 1212. 5 138 3 4 6.00 301 2 3 30 8 8 8 9 9 8 
7 5 2 1 0 0 0 1 3 4 5 5 8 9 8 6 6 8 10 10 7 7 8 
7 6 8 9 9 10 11 
117565 549551.0 4076973.0 36.8392 116.4443 363 164 118290 
2773. 1212. 4 96 3 4 6.00 301 2 4 30 7 7 6 7 7 6 
5 3 2 1 0 0 0 3 4 5 8 9 11 11 9 7 7 9 11 10 8 8 9 
8 6 7 8 8 9 9 
117902 549581.0 4076943.0 36.8389 116.4440 364 165 119071 
1. 1211. 7 50 3 4 6.00 301 2 4 30 7 7 7 7 6 5 4 
2 2 1 0 0 1 3 5 6 7 8 11 12 13 11 9 8 10 10 9 8 8 8 
6 6 7 8 8 8 
117903 549611.0 4076913.0 36.8386 116.4436 365 166 119826 
3. 1211. 9 60 3 4 6.00 301 2 4 30 7 7 6 6 5 4 3 
2 1 0 0 0 1 5 6 7 5 5 6 9 11 13 13 13 12 9 9 8 7 7 
6 6 7 7 7 7 
118288 549611.0 4077003.0 36.8394 116.4436 362 166 -3 
6. 1210. 5 143 3 4 6.00 301 2 3 30 9 9 10 10 10 9 8 
5 3 2 0 0 0 0 2 5 5 5 6 9 9 6 6 8 10 9 7 7 8 7 
6 8 9 10 11 11 
118290 549581.0 4076973.0 36.8392 116.4440 363 165 119071 
2834. 1210. 4 97 3 4 6.00 301 2 4 30 7 7 8 8 8 7 
6 4 2 1 0 0 0 2 5 6 6 6 9 11 10 8 7 8 10 10 8 8 9 
7 6 7 8 9 9 9 
118675 549641.0 4077003.0 36.8394 116.4433 362 167 -3 
5. 1209. 5 151 3 4 6.00 301 2 3 30 10 11 11 11 11 9 8 
6 3 2 0 0 0 0 1 4 5 5 5 7 9 8 7 7 9 9 7 7 8 6 
6 8 10 10 10 10 
118680 549611.0 4076943.0 36.8389 116.4436 364 166 119826 
2. 1209. 6 66 3 4 6.00 301 2 4 30 8 8 8 8 7 5 4 
3 2 1 0 0 0 3 5 6 5 5 7 9 11 12 10 9 9 10 8 8 8 7 
6 7 8 8 8 8 
119071 549611.0 4076973.0 36.8392 116.4436 363 166 119826 
2850. 1208. 4 109 10 4 6.00 301 2 4 30 8 8 9 10 9 7 
6 4 3 2 0 0 0 2 4 5 5 5 7 9 10 9 8 8 9 10 7 7 9 
7 6 7 8 9 9 9 
119074 549641.0 4076913.0 36.8386 116.4433 365 167 -3 
0. 1208. 6 72 3 4 6.00 301 2 4 30 7 8 7 7 6 4 3 
2 1 0 0 0 1 4 6 7 6 6 5 7 9 11 12 12 11 10 9 8 7 7 
6 6 7 8 7 7 
119076 549641.0 4076883.0 36.8384 116.4433 366 167 -3 
1. 1208. 7 83 3 4 6.00 301 2 4 30 7 8 6 6 5 4 3 
2 1 0 0 2 4 6 8 9 6 6 5 7 9 11 13 13 14 13 11 10 7 8 
6 6 7 7 6 6 
119446 549641.0 4076973.0 36.8392 116.4433 363 167 -3 
7. 1207. 4 127 3 4 6.00 301 2 4 30 9 10 11 11 10 8 6 
4 3 2 0 0 0 1 3 5 5 5 5 8 9 10 9 8 9 9 7 7 8 7 
6 8 9 9 9 9 
119822 549671.0 4076973.0 36.8392 116.4429 363 168 -3 
6. 1206. 4 135 3 4 6.00 301 2 4 30 11 12 11 11 10 8 7 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 K-12 November 2004 
5 4 3 0 0 0 0 2 4 5 6 5 6 8 9 8 7 9 9 7 7 8 6 
6 8 9 9 9 10 
119826 549641.0 4076943.0 36.8389 116.4433 364 167 120209 
2858. 1206. 4 82 3 4 6.00 301 2 4 30 8 9 10 10 8 6 
5 4 3 2 0 0 0 3 5 7 6 6 6 8 10 11 11 9 9 9 8 8 8 
7 6 7 8 9 8 8 
120205 549671.0 4076943.0 36.8389 116.4429 364 168 -3 
8. 1205. 3 102 3 4 6.00 301 2 4 30 10 11 12 10 9 7 5 
4 3 2 0 0 0 1 3 5 6 6 5 6 8 10 10 9 9 9 8 8 8 7 
6 7 8 9 9 9 
120209 549671.0 4076913.0 36.8386 116.4429 365 168 121694 
2859. 1205. 5 91 3 4 6.00 301 2 4 30 8 9 9 8 7 5 
4 3 2 1 0 0 1 4 6 7 7 7 5 6 8 10 12 11 10 9 9 8 7 
7 6 7 7 8 8 8 
120211 549671.0 4076883.0 36.8384 116.4429 366 168 -3 
1. 1205. 6 77 3 4 6.00 301 2 4 30 8 9 7 6 5 4 3 
2 1 0 0 2 4 8 9 9 8 8 5 6 8 10 12 13 12 11 10 9 7 7 
6 6 7 7 7 7 
120918 549701.0 4076943.0 36.8389 116.4426 364 169 -3 
7. 1203. 4 116 3 4 6.00 301 2 4 30 12 13 12 10 9 7 6 
5 4 3 0 0 0 0 2 4 7 8 5 5 7 9 10 9 9 8 8 8 8 7 
6 8 9 9 9 10 
121311 549701.0 4076913.0 36.8386 116.4426 365 169 -3 
9. 1202. 4 111 10 4 6.00 301 2 4 30 9 10 10 9 8 6 6 
5 3 2 0 0 0 3 5 7 9 10 5 5 7 9 11 11 10 9 9 8 7 7 
6 7 8 8 8 9 
121694 549701.0 4076883.0 36.8383 116.4426 366 169 -3 
2886. 1201. 5 47 3 5 5.25 321 2 4 30 8 9 8 8 6 4 
5 4 2 1 0 2 5 8 10 12 12 12 8 7 7 9 11 12 12 11 10 9 7 
7 6 7 7 7 7 8 
 Example listing of the output file, WT2.B20 created for the test case (only the 
first 26 lines are shown). This file indicates the easting and northing 
coordinates of the 282 perimeter cells defining the watershed boundary (all grid 
cells having a value of 3 in column 8 of the file, WT2.W20) and is used only to 
provide supporting information for the routine test plan. 
547421.0 4076823.0 -3 
547421.0 4076793.0 -3 
547421.0 4076763.0 -3 
547421.0 4076733.0 -3 
547481.0 4077063.0 -3 
547451.0 4076913.0 -3 
547481.0 4077033.0 -3 
547421.0 4076853.0 -3 
547421.0 4076703.0 -3 
547511.0 4077153.0 -3 
547451.0 4076943.0 -3 
547511.0 4077243.0 -3 
547481.0 4077093.0 -3 
547451.0 4076703.0 -3 
547511.0 4077213.0 -3 
547511.0 4077183.0 -3 
547451.0 4076973.0 -3 
547481.0 4076703.0 -3 
547511.0 4077273.0 -3 
547481.0 4077123.0 -3 
547451.0 4077003.0 -3 
547421.0 4076883.0 -3 
547451.0 4077033.0 -3 
547511.0 4077303.0 -3 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 K-13 November 2004 
547481.0 4076673.0 -3 
547541.0 4077363.0 -3 
 Listing of source code for routine WATSHD20 V1.0: 
PROGRAM WATSHD20 
c version 1.0 
c 
c program to extract watershed-defined grids from 
c elevation sorted rectangular input grid 
c obtained as output from SORTGRD1 and using 
c surface flow routing results obtained from CHNNET16 
c 
c The routing method is a simple D8 convergent flow routing method 
c and accounts for routing difficulties due to surface 
c depressions. 
c 
c written by Joe Hevesi, U.S. Geological Survey 
c 
c----------------------------------------------------------------------- 
integer locid(0:1204,0:985) 
real el(0:1204,0:985) 
real rblock(36) 
integer row(1190000),col(1190000),irow(1190000),icol(1190000) 
integer rown,coln,nbot,iter,iter2,depthid 
integer r0,c0,r1,c1,r2,c2,r3,c3,ro,co 
integer soilt,geol,topo,vegt,vegc,slp,asp,dclass 
integer block(36) 
double precision x(0:1204,0:985),y(0:1204,0:985) 
double precision xx,yy,xbot,ybot 
real soild,lat,lon 
real emax 
real yold 
real maxelev,minelev,maxsl 
real maxx,minx,maxy,miny 
integer minrow,maxrow,mincol,maxcol 
c 
c----- watshed parameters 
c 
real xpoint,ypoint,elbot,elmin 
real elcell 
double precision xc,yc 
integer rowc,colc,locidc,iwatc,ioutc 
real totoutc 
integer iwat(0:1204,0:985),iout(0:1204,0:985) 
integer hole(0:1204,0:985) 
integer nwat 
integer ichan,idepth 
c 
character*20 infile,outfile,outfil2,holefile,boundary, 
1 bugfile,chnfile 
character*80 header 
c 
c 
15 format(A) 
open(unit=7,file=watshd20.ctl) 
read(7,15) header 
read(7,15) infile 
read(7,15) chnfile 
read(7,15) outfile 
read(7,15) outfil2 
read(7,15) holefile 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 K-14 November 2004 
read(7,15) boundary 
read(7,15) bugfile 
read(7,*) xpoint,ypoint 
c 
c---- added ichan option: ichan = 1 to bypass soiltype modification 
c (use for generating watershed domains of original model) 
c 
read(7,*) ichan, idepth 
c 
c 
c unit 9 = main output file 
c 
open(unit=8,file=infile) 
open(unit=9,file=outfile) 
open(unit=10,file=outfil2) 
open(unit=11,file=holefile) 
open(unit=12,file=boundary) 
open(unit=13,file=bugfile) 
open(unit=14,file=chnfile) 
C 
c 
c---- initialize statistics 
c ----------------------- 
c 
nloc = 1 
ssl = 0. 
selev = 0. 
maxsl = -99999. 
maxelev = -99999. 
minelev = 99999. 
maxx = -99999. 
minx = 9999999. 
maxy = -99999. 
miny = 9999999. 
emax = -9999999. 
C 
illopx = 0 
lnumber = 0 
inumber = 0 
maxrow = -999 
maxcol = -999 
minrow = 9999 
mincol = 9999 
c---- read in sorted grid input 
c created using sortgrd1 
c --------------------------- 
c 
N = 1 
coln = 0 
rown = 0 
yold = 0. 
n2 = 0 
nn2 = 0 
elold = 999999 
c 
n = 1 
50 read(8,*,END=70) loc,xx,yy,lat,lon,ro,co,elev, 
1 slp,asp,soilt,dclass,soild,geol,topo, 
2 vegt,vegc,(rblock(j), j=1,36) 
c 
c 
row(n) = ro 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 K-15 November 2004 
col(n) = co 
x(row(n),col(n)) = xx 
y(row(n),col(n)) = yy 
el(row(n),col(n)) = elev 
locid(row(n),col(n)) = n 
n2 = n2+1 
nn2 = nn2 + 1 
c 
c 
c ------- check to see if input is sorted by elevation 
c 
if(el(row(n),col(n)).gt.elold) then 
write(*,56) n,el(row(n),col(n)),elold 
56 format(1x,error in sequence: n = ,i8,elev = ,f8.2, 
1 previous = ,f8.2) 
stop 
endif 
elold = el(row(n),col(n)) 
c 
c ------- initialize routing parameters 
c 
iwat(row(n),col(n)) = -2 
iout(row(n),col(n)) = 0 
c 
if(row(n).gt.maxrow) maxrow = row(n) 
if(col(n).gt.maxcol) maxcol = col(n) 
if(row(n).lt.minrow) minrow = row(n) 
if(col(n).lt.mincol) mincol = col(n) 
c 
c ------- output to screen 
c 
if(nn2.eq.1000) then 
write(*,77) n,minrow,maxrow,mincol,maxcol, 
1 el(row(n),col(n)) 
77 format(1x,i8,4i5,f8.0) 
nn2 = 0 
endif 
C 
ssl = ssl + slp 
selev = selev + el(row(n),col(n)) 
IF (MAXSL.LE.slp) MAXSL = slp 
IF (MAXELEV.LE.EL(row(n),col(n))) 
1 MAXELEV = EL(row(n),col(n)) 
IF (MINELEV.GE.EL(row(n),col(n))) 
1 MINELEV = EL(row(n),col(n)) 
if(maxx.lt.x(row(n),col(n))) maxx = x(row(n),col(n)) 
if(maxy.lt.y(row(n),col(n))) maxy = y(row(n),col(n)) 
if(minx.gt.x(row(n),col(n))) minx = x(row(n),col(n)) 
if(miny.gt.y(row(n),col(n))) miny = y(row(n),col(n)) 
c 
n = n + 1 
c 
GOTO 50 
c 
c---- done reading input, now output grid statistics 
c and rewind input file 
c 
70 rewind(8) 
c 
c 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 K-16 November 2004 
n = n - 1 
rown = maxrow-minrow-2 
coln = maxcol-mincol-2 
ncell = rown*coln 
nloc = n 
avgsl = ssl/nloc 
avgelev = selev/nloc 
c 
WRITE(*,75) NLOC,AVGELEV,MAXELEV,MINELEV,AVGSL,MAXSL,NCELL, 
1 coln,rown 
WRITE(13,75) NLOC,AVGELEV,MAXELEV,MINELEV,AVGSL,MAXSL,NCELL, 
1 coln,rown 
c 
75 FORMAT(/1X,TOTAL NUMBER OF LOCATIONS = ,I8, 
1 /1X,Average elevation of sample = ,F8.1, 
2 /1X,Maximum elevation of sample = ,F8.1, 
3 /1X,Minimum elevation of sample = ,F8.1, 
4 /1X,Average slope of sample = ,F8.1, 
5 /1X,Maximum slope of sample = ,F8.1, 
6 /1X,Number of active locations = ,I8, 
7 /1x,number of active columns = ,i8, 
8 /1x,number of active rows = ,i8) 
c 
write(*,76) minx,maxx,miny,maxy 
write(13,76) minx,maxx,miny,maxy 
76 format(1x,minimum easting = ,f11.1, 
1 /1x,maximum easting = ,f11.1, 
2 /1x,minimum northing = ,f11.1, 
3 /1x,maximum northing = ,f11.1,//) 
C 
C 
c---- read in channel network parameters obtained 
c using chnnet16 
c --------------------------------------------- 
c 
nc=1 
100 read(14,*,end=105) xc,yc,rowc,colc,locidc, 
1 iwatc,ioutc,holec,totoutc,pondc 
c 
if((locidc.eq.locid(row(nc),col(nc))).and. 
1 (rowc.eq.row(nc)).and.(colc.eq.col(nc))) then 
c 
iout(row(nc),col(nc)) = ioutc 
hole(row(nc),col(nc)) = holec 
c 
endif 
nc = nc + 1 
goto 100 
c 
c --- initialize grid borders 
c 
c 
105 rewind(14) 
c 
do i = mincol-1,maxcol+1 
el(minrow-1,i) = -99999. 
el(maxrow+1,i) = -99999. 
enddo 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 K-17 November 2004 
c 
do i = minrow-1,maxrow+1 
el(i,mincol-1) = -99999. 
el(i,maxcol+1) = -99999. 
enddo 
c 
c---- find specified starting point 
c ------------------------------ 
c 
do i = 1,nloc 
if((xpoint.ge.x(row(i),col(i))-15.).and. 
1 (xpoint.lt.x(row(i),col(i))+15.).and. 
2 (ypoint.ge.y(row(i),col(i))-15.).and. 
3 (ypoint.lt.y(row(i),col(i))+15.)) then 
xbot = x(row(i),col(i)) 
ybot = y(row(i),col(i)) 
elbot = el(row(i),col(i)) 
nbot = i 
endif 
enddo 
c 
nw = 0 
c 
write(*,300) xbot, 
1 ybot,elbot, 
2 locid(row(nbot),col(nbot)), 
3 iout(row(nbot),col(nbot)), 
4 iwat(row(nbot),col(nbot)) 
c 
write(13,300) xbot, 
1 ybot,elbot, 
2 locid(row(nbot),col(nbot)), 
3 iout(row(nbot),col(nbot)), 
4 iwat(row(nbot),col(nbot)) 
c 
c 
c---- start uphill search from 1st point 
c ------------------------------------ 
c 
elmin = elbot 
nwat = 0 
r0 = row(nbot) 
c0 = col(nbot) 
iwat(r0,c0) = 0 
c 
c ------ 1st loop for cells surrounding starting cell 
c 
do 200 ir = -1,1 
do 200 ic = -1,1 
if(ir.eq.0.and.ic.eq.0) goto 200 
c 
r1 = r0+ir 
c1 = c0+ic 
if((r1.ge.maxrow.or.r1.le.0) 
1 .or.(c1.ge.maxcol.or.c1.le.0)) goto 200 
if(locid(r1,c1).gt.locid(r0,c0)) goto 200 
if(el(r1,c1).eq.-99999) goto 200 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 K-18 November 2004 
if(iout(r1,c1).eq.locid(r0,c0)) then 
nw = nw + 1 
irow(nw) = r1 
icol(nw) = c1 
iwat(r1,c1) = nw 
c 
write(*,300) x(irow(nw),icol(nw)), 
1 y(irow(nw),icol(nw)),el(irow(nw),icol(nw)), 
2 locid(irow(nw),icol(nw)),iout(irow(nw),icol(nw)), 
3 iwat(irow(nw),icol(nw)) 
c 
write(13,300) x(irow(nw),icol(nw)), 
1 y(irow(nw),icol(nw)),el(irow(nw),icol(nw)), 
2 locid(irow(nw),icol(nw)),iout(irow(nw),icol(nw)), 
3 iwat(irow(nw),icol(nw)) 
c 
c 
300 format(1x,2f11.1,f8.1,3i6) 
c 
endif 
c 
c 
200 continue 
c 
c 
c---- start main loop 
c -------------------------------- 
c 
iter2 = 1 
iter = 0 
nw1 = 1 
600 nw2 = nw 
iter = iter + 1 
write(13,*) iter2,iter,nw1,nw2,nw 
write(*,*) iter2,iter,nw1,nw2,nw 
do 400 i = nw1,nw2 
r0 = irow(i) 
c0 = icol(i) 
elcell = el(r0,c0) 
c 
c ------ 1st loop for cells surrounding starting cells 
c 
do 450 ir = -1,1 
do 450 ic = -1,1 
if(ir.eq.0.and.ic.eq.0) goto 450 
c 
r1 = r0+ir 
c1 = c0+ic 
if(el(r1,c1).eq.-99999) goto 450 
if(iwat(r1,c1).gt.-2) goto 450 
if(el(r1,c1).lt.elcell) goto 450 
if(iout(r1,c1).eq.locid(r0,c0)) then 
nw = nw + 1 
irow(nw) = r1 
icol(nw) = c1 
iwat(r1,c1) = nw 
c 
endif 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 K-19 November 2004 
c 
write(11,247) i,iter,x(r1,c1),y(r1,c1), 
1 el(r1,c1),iout(r1,c1) 
247 format(2i8,3f11.1,i8) 
c 
c 
450 continue 
400 continue 
c 
c---- if cells exist in temporary array, then do next iteration 
c 
if(nw.gt.nw2) then 
nw1 = nw2 + 1 
goto 600 
endif 
c 
c 
c---- define watershed boundary cells 
c niwat = number of boundary cells 
c ---------------------------------- 
c 
niwat = 0 
do i = 1,nloc 
if (iwat(row(i),col(i)).gt.-2) then 
do 700 ir = -1,1 
do 700 ic = -1,1 
r1 = row(i)+ir 
c1 = col(i)+ic 
if(ir.eq.0.and.ic.eq.0) goto 700 
if(iwat(r1,c1).eq.-2) then 
iwat(r1,c1) = -3 
niwat = niwat + 1 
endif 
700 continue 
endif 
enddo 
write(*,*) niwat 
write(13,*) niwat 
c 
c================================== 
c 
c 
c---- check beyond boundary for holes 
c loop through all cells to find boundary cells 
c ----------------------------------------------- 
c 
nhole = 0 
iter2 = iter + 1 
do 1500 i = 1,nloc 
r1 = row(i) 
c1 = col(i) 
if(iwat(r1,c1).ne.-3) goto 1500 
c 
c 
c------- explore 19 layers beyond perimeter cell to find hole 
c cells outside of watershed identified by iwat < 0 
c if hole found (hole > 0) then see if hole routs to 
c watershed 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 K-20 November 2004 
c 
c 
do 1000 j = 1,19 
c 
do 1050 ir2 = -j,j 
do 1050 ic2 = -j,j 
if(((ir2.le.j-1).and.(ir2.ge.-(j-1))) 
1 .and.((ic2.le.j-1).and.(ic2.ge.-(j-1)))) goto 1050 
r2 = r1+ir2 
c2 = c1+ic2 
if(r2.lt.minrow.or.r2.gt.maxrow) goto 1050 
if(c2.lt.mincol.or.c2.gt.maxcol) goto 1050 
if(iwat(r2,c2).ge.0) goto 1050 
if(hole(r2,c2).gt.0) then 
c 
c---------------- if hole found explore 20 layers to see if 
c hole routs to watershed 
c 
do 1100 j2 = 1,20 
do 1110 ir3 = -j2,j2 
do 1110 ic3 = -j2,j2 
if(((ir3.le.j2-1).and.(ir3.ge.- 
(j2-1))).and. 
1 ((ic3.le.j2-1).and.(ic3.ge.-(j2- 
1)))) 
2 goto 1110 
r3 = r2+ir3 
c3 = c2+ic3 
if(r3.lt.minrow.or.r3.gt.maxrow) goto 1110 
if(c3.lt.mincol.or.c3.gt.maxcol) goto 1110 
if(iwat(r3,c3).lt.0) goto 
1110 
if(locid(r3,c3).eq.iout(r2,c2)) then 
nhole = nhole 
+ 1 
nw = nw + 1 
irow(nw) = r2 
icol(nw) = c2 
iwat(r2,c2) = 
nw 
write(*,2065) nw,x(r2,c2),y(r2,c2), 
1 el(r2,c2),x(r3,c3),y(r3,c3) 
write(13,2065) nw,x(r2,c2),y(r2,c2), 
1 el(r2,c2),x(r3,c3),y(r3,c3) 
2065 format(1x,i8,2f11.1,f7.1,2f11.1) 
c 
endif 
1110 continue 
1100 continue 
endif 
1050 continue 
1000 continue 
1500 continue 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 K-21 November 2004 
if(nw.gt.nw2) then 
nw1 = nw2 + 1 
goto 600 
endif 
c 
c 
c================================== 
c 
c return from perimeter test 
c 
c---- generate output file 
c re-read unit 9 (unit 9 = main output file) 
c 
c 
c 
c---- dummy vegetation type and cover parameters (vegt, vegc) 
c added as place holders 
c 
vegt = -99 
vegc = -99 
c 
c 
c----- added depthclass parameter (dclass) 
c 
i2 = 0 
do i = 1,nloc 
read(8,*) loc,xx,yy,lat,lon,ro,co,elev,slp,asp, 
1 soilt,dclass,soild,geol,topo,vegt,vegc, 
2 (block(j), j=1,36) 
c 
read(14,*) xc,yc,rowc,colc,locidc, 
1 iwatc,ioutc,holec,totoutc,pondc 
c 
c---- error trap: check files to be safe 
c 
if((xc.ne.xx).and.(yc.ne.yy)) stop 
c 
c 
if(iwat(row(i),col(i)).ne.-2) then 
if(row(i).eq.minrow.or.row(i).eq.maxrow) 
1 iwat(row(i),col(i)) = -3 
if(col(i).eq.mincol.or.col(i).eq.maxcol) 
1 iwat(row(i),col(i)) = -3 
if(iwat(row(i),col(i)).eq.-3) iout(row(i),col(i)) = -3 
i2 = i2 + 1 
c 
c------- mod to specify channel soil-type for numeric channels 
c 
if(ichan.eq.1) then 
if(totoutc.gt.50) soilt = 4 
endif 
c 
c------- if idepth = 0 then use default soil depths 
c (2nd to last soil depth model) 
c 
c------- if idepth = 1 use new soil depth model 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 K-22 November 2004 
c (last soil depth model) 
if(idepth.eq.1) then 
if(dclass.eq.1) then 
soild = 0.01 
if(slp.le.10) soild = (slp*0.02)+0.3 
if(slp.gt.10.and.slp.le.39) 
1 soild = (10-slp)*0.017+0.5 
c 
else if(dclass.eq.2) then 
soild = 0.5 
if(slp.le.25) soild = 3-(0.1*slp) 
c 
else if(dclass.eq.3.or.dclass.eq.5.or.dclass.eq.6) 
1 then 
soild = 3. 
if(slp.le.20) soild = (6-0.15*slp) 
endif 
c 
c 
c-------- if idepth = 2 use 1st soil depth model 
c 
else if(idepth.eq.2) then 
if(dclass.eq.1) then 
soild = 0.5 - slp*0.01 
else if(dclass.eq.2) then 
if(slp.le.20) then 
soild = 3.0 - slp*0.125 
else 
soild = 0.5 
endif 
else if(dclass.eq.3.or.dclass.eq.5.or. 
1 dclass.eq.6) then 
if(slp.le.20) then 
soild = 6.0 - slp*0.15 
else 
soild = 3.0 
endif 
endif 
c 
c---------- simple soil depth option 
c 
else if(idepth.eq.3) then 
if(dclass.eq.1) soild = 0.35 
if(dclass.eq.2) soild = 1.5 
if(dclass.eq.3) soild = 4.0 
if(dclass.eq.4) soild = 6.0 
c 
c---------- original soil depth model 
c 
else if(idepth.eq.4) then 
if(dclass.eq.1) soild = 0.5 
if(dclass.eq.2) soild = 1.5 
if(dclass.eq.3) soild = 4.5 
if(dclass.eq.4) soild = 6.0 
endif 
c 
write(9,715) i,xx,yy,lat,lon,ro,co, 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 K-23 November 2004 
1 iout(row(i),col(i)),totoutc,elev,slp,asp, 
2 soilt,dclass,soild,geol,topo,vegt,vegc, 
3 (block(j), j=1,36) 
c 
715 format(1x,i8,2f11.1,2f9.4,2i5,i8,f8.0,f7.0, 
1 4i4,f7.2,4i4,36i3) 
write(10,730) x(row(i),col(i)), 
1 y(row(i),col(i)),el(row(i),col(i)), 
2 locid(row(i),col(i)),iout(row(i),col(i)), 
3 iwat(row(i),col(i)),hole(row(i),col(i)),totoutc 
c 
730 format(1x,2f11.1,f8.1,4i7,f9.0) 
c 
c 
c---------- output boundary cells 
c 
if(iwat(row(i),col(i)).eq.-3) then 
write(12,725) x(row(i),col(i)),y(row(i),col(i)), 
1 iwat(row(i),col(i)) 
725 format(1x,f12.1,f12.1,i6) 
endif 
c 
endif 
enddo 
stop 
c 
CLOSE(9) 
close(10) 
close(11) 
close(12) 
close(13) 
END 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 K-24 November 2004 
INTENTIONALLY LEFT BLANK
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 November 2004 
APPENDIX L 
POSTPROCESSING OF MODEL RESULTS USING MAPADD20 V1.0 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 November 2004 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 L-1 November 2004 
L1. NAME OF ROUTINE/MACRO WITH VERSION/OS/HARDWARE 
ENVIRONMENT AND USER INFORMATION 
Name of software routine: MAPADD20 V1.0, 
OS and hardware environment: Windows NT 4.0, Pentium Pro PC 
Computer Identification: SM321276 with a USGS specific host-name P720dcasr 
Software Users: Joseph Hevesi (916-278-3274), Alan Flint (916-278-3221) 
User Location: U.S. Geological Survey, Room 5000E, Placer Hall, 6000 J Street, Sacramento, 
CA 95819-6129 
L2. NAME OF COMMERCIAL SOFTWARE WITH VERSION/OS/HARDWARE 
USED TO DEVELOP ROUTINE/MACRO 
The source code for MAPADD20 V1.0 was developed using the standard FORTRAN77 
programming language. The source code was written, debugged, and compiled (for PC platforms 
using INTEL processors) using DIGITAL Visual Fortran with Microsoft Developer Studio, V. 
5.0. 
L3. GENERAL DESCRIPTION OF ROUTINE/MACRO 
MAPADD20 V1.0 is a FORTRAN77 routine developed in accordance with AP-SI.1Q, 
specifically for the analysis/model activity documented in this report. The routine source code 
(MAPADD20.FOR), compiled executable file (MAPADD20.EXE), routine control file 
(MAPADD20.CTL), input and output files used for routine validation, supplemental files created 
as part of validation testing, and a copy of this appendix, are located under the directory 
MAPADD20 on a CD-ROM labeled POSTINF-1. The routine source code, control file, and the 
input and output files are ASCII text files that can be read using any standard ASCII text editor 
and can be imported into standard word processing applications such as Microsoft Word. The 
executable file can be used to run MAPADD20 V1.0 on any PC with an INTEL processor (with 
adequate RAM). 
L4. TEST PLAN FOR THE SOFTWARE ROUTINE MAPADD20 V1.0 
 Explain whether this is a routine or macro and describe what it does: 
MAPADD20 is a post processing routine that uses output from INFIL V2.0 
computer software (USGS 2000 [DIRS 139422]) to perform three tasks in the 
process of developing net-infiltration estimates for nine separate climate 
scenarios: (1) the routine averages results in files from individual simulations into 
a single result, (2) the routine adds together simulation files for several 
watersheds into single files, and (3) the routine compares selected files to 
determine the minimum net infiltration value among the files for a given grid 
block and produces a new file with the minimum net infiltration values for all grid 
blocks in the original files. 
The specific rationale for these tasks is described in detail in the main document 
(Section 6.9). Briefly, task (1) is used to determine the average result of 
simulations run for several analogue sites that represent a given climate scenario, 
task (2) is used to combine results from individual watersheds into the entire 
composite watershed model domain, and task (3) is done to define the minimum 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 L-2 November 2004 
net-infiltration estimates for the lower bound modern climate scenario by 
sampling the 1980-95 simulation, the 4JA 100-year stochastic simulation, and the 
driest (in terms of net infiltration) 10-year period within the 4JA 100-year 
simulation, which is 1980-1990. 
 Listing of FORTRAN77 Source code: 
A listing of the FORTRAN77 source code for the routine MAPADD20 V1.0 
along with examples of the input and output files used in the test plan are included 
at the end of this appendix. 
 Description of test(s): 
To evaluate the accuracy of the functions performed by the routine, there are 
3 test cases used to evaluate the accuracy of MAPADD20 in performing its 
expected calculations. Task (1) will use MAPADD20 to calculate an arithmetic 
mean of values of simulated net infiltration from two files. This will be verified 
for the values by calculating the final mean as (File1+File2)/2. Task (2) will be 
verified visually using maps of the individual watersheds and the final composite 
watershed model domain to evaluate if they occupy the same space. Task (3) will 
be evaluated by calculating a minimum with MAPADD20 using three input files 
of values and producing an output file. The input files and the output file will be 
imported into EXCEL and it will be determined for a selection of the data if the 
output value for a given grid block is the minimum value of the three input values 
for the grid block. 
 Specify the range of input values to be used and why the range is valid: 
For task (1) the routine needs to be able to compute an arithmetic mean and any 
range of data chosen from the simulated infiltration test for the evaluation is valid. 
For task (2) all of the ten watersheds are used to visually ascertain if the final 
composite watershed model domain is produced using MAPADD20. For task (3) 
the routine needs to be able to calculate a minimum value from a selection of 
values and any range of data chosen from simulated infiltration values is 
acceptable. 
L5. TEST RESULTS 
 Output from test (explain difference between input range used and possible 
input): 
The acceptance criteria for the testing of MAPADD20 is that the output must 
provide for task (1), an accurate arithmetic mean to zero decimal places, for task 
(2) that a visual determination that the files of the 10 individual watersheds 
occupy the same space as the final composite file when illustrated graphically, 
and for task (3), that for a selection of values MAPADD20 accurately selects the 
minimum value. 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 L-3 November 2004 
 Description of how the testing shows that the results are correct for the 
specified input: 
If the testing results in output that conforms to the above criteria then the results 
are correct for the specified input. 
 List limitations or assumptions to this test case and code in general: 
Limitations to the developed test cases (1) and (3) consist of the selection only of 
a small number of values that are assumed to be representative of the entire data 
sets. However, the assumption of representativeness for text cases (1) and (3) is 
adequate for its intended use. 
 Electronic files identified by name and location: 
The following electronic files including MAPADD20 V1.0 and selected input 
and output files are provided: 
MAPADD20.FOR: FORTRAN source code listing for the routine 
MAPADD20. A printout of the source code is included as 
part of this appendix. 
MAPADD20.EXE: Executable file for the routine MAPADD20, compiled for 
INTEL processors. 
Test Case for task (1): Input files SC2-MU1.504 and SC2-MU2.504 and output 
file, OUTPUT.TXT. 
Test Case for task (3): Input files, YM1-X.4E4, 4JA1-X.4E4 and 4JA1-90.4E4 
and output file, MODERN1.OUT. 
L6. TEST CASE FOR TASK (1): CALCULATION OF ARITHMETIC MEAN 
Comparison between input file SC2MU1.504 and output file OUTPUT.TXT indicates that values 
for corresponding grid block locations match, suggesting that the routine MAPADD20 correctly 
performs the specified function. 
L7. TEST CASE FOR TASK (2) 
A good match between the boundaries for the 10 watersheds used as input to MAPADD20 and 
the final boundary of the composite model domain as produced by MAPADD20, indicating a 
successful verification of routine function for this task. 
L8. TEST CASE FOR TASK (3) 
This test case uses files as input to MAPADD20 that are output files from INFIL simulating 
infiltration. The net infiltration column, along with the easting and northing grid block location 
for each file, were extracted from the files that were used as input to MAPADD20. The 
minimum infiltration value was chosen for the three input files for each grid block location. This 
value is then compared to the net-infil column extracted from the output file from MAPADD20 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 L-4 November 2004 
for the same grid block locations. The values match exactly, indicating a successful routine 
function for this task. 
L9. LISTING OF SOURCE CODE FOR MAPADD20 V1.0 
program mapadd20 
c version 1.0 
c 
c post-processing subroutine for INFIL v2.0 results 
c 
real fn,pdone 
integer nfile,nmap,imod2 
integer inmod(20,0:10) 
double precision easting(200000,0:5),northing(200000,0:5), 
1 aappt(200000,0:5),aarain(200000,0:5),aasnow(200000,0:5), 
2 aasncv(200000,0:5),aamelt(200000,0:5),aasubl(200000,0:5), 
3 aatet(200000,0:5),aainfr(200000,0:5),aadsw(200000,0:5), 
4 aainf(200000,0:5),aaoff(200000,0:5),aarun(200000,0:5), 
5 massb(200000,0:5),maxbal(200000,0:5),massb2(200000,0:5) 
c 
c 
double precision gaappt,gaarain,gaasnow,gaasncv,gaamelt,gaasubl, 
1 gaatet,gaainfr,gaadsw,gaainf,gaaoff,gaarun,gmassb, 
2 gmaxbal,gmassb2 
c 
double precision maxppt,maxrain,maxsnow,maxsncv,maxmelt,maxsubl, 
1 maxtet,maxinfr,maxdsw,maxinf,maxoff,maxrun,maxmassb, 
2 mxmaxbal,mxmassb2 
c 
double precision minppt,minrain,minsnow,minsncv,minmelt,minsubl, 
1 mintet,mininfr,mindsw,mininf,minoff,minrun,minmassb, 
2 mnmaxbal,mnmassb2 
c 
double precision maxerr,minerr 
c 
character*20 infile(20,0:10) 
character*20 outfile,outfile2,sumfile,errfile 
character*20 modinfo(22) 
character*20 modstamp(200000) 
character*256 header,header2 
5 format(A) 
open(unit=7,file=mapadd20.ctl) 
read(7,5) header 
read(7,5) outfile 
read(7,5) outfile2 
read(7,5) sumfile 
read(7,5) errfile 
read(7,*) imod2 
read(7,*) nfile,nmap,maxerr 
do 50 i = 1,nfile 
read(7,5) modinfo(i) 
do 50 j = 1,nmap 
read(7,15) inmod(i,j),infile(i,j) 
15 format(i2,2x,a20) 
c 
50 continue 
open(unit=12,file=outfile) 
open(unit=13,file=outfile2) 
open(unit=14,file=sumfile) 
open(unit=15,file=errfile) 
c 
write(14,5) header 
write(14,35) outfile,sumfile 
35 format(1x,main output file: ,a20, 
1 /1x,summary outputfile: ,a20, 
2 /1x,input files://) 
c 
do 55 i = 1,nfile 
write(14,5) modinfo(i) 
do 55 j = 1,nmap 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 L-5 November 2004 
write(14,65) inmod(i,j),infile(i,j) 
65 format(1x,i2,2x,a20) 
c 
55 continue 
write(14,56) 
56 format(/) 
c 
c 
minerr = -maxerr 
c 
gaappt = 0. 
gaarain = 0. 
gaasnow = 0. 
gaasncv = 0. 
c 
ndata = 0 
nstart = 1 
do 400 i = 1,nfile 
c 
do 350 j = 1,nmap 
n2 = 1 
n = nstart 
open(unit=8,file=infile(i,j)) 
if((n2.eq.1).and.(inmod(i,j).eq.1)) read(8,5) header2 
c 
if(inmod(i,j).eq.1) then 
100 read(8,*,end=300) 
1 easting(n,j),northing(n,j),aappt(n,j),aarain(n,j), 
1 aasnow(n,j),aasncv(n,j),aamelt(n,j),aasubl(n,j), 
2 aatet(n,j),aainfr(n,j),aadsw(n,j),aainf(n,j), 
3 aaoff(n,j),aarun(n,j),massb(n,j),maxbal(n,j), 
4 massb2(n,j) 
c 
if(j.eq.1) modstamp(n) = modinfo(i) 
n2 = n2 + 1 
n = n + 1 
goto 100 
c 
300 nlast = n-1 
n2 = n2 - 1 
close(8) 
c 
c use inmod = 0 for infils4e input average annual format 
else if(inmod(i,j).eq.0) then 
110 read(8,*,end=310) 
1 easting(n,j),northing(n,j),aappt(n,j), 
2 aatet(n,j),aainfr(n,j),aadsw(n,j),aainf(n,j), 
3 aaoff(n,j),aarun(n,j),massb(n,j),maxbal(n,j) 
c 
c error trap 
if((easting(n,j).ne.easting(n,1).or. 
1 northing(n,j).ne.northing(n,1))) stop 
c 
if(j.eq.1) modstamp(n) = modinfo(i) 
n2 = n2 + 1 
n = n + 1 
goto 110 
c 
310 nlast = n-1 
n2 = n2 - 1 
close(8) 
c 
c use inmod = 3 for infils4e input annual format (4ja1-90) 
else if(inmod(i,j).eq.2) then 
c 
c 
120 read(8,*,end=320) 
1 easting(n,j),northing(n,j),aappt(n,j), 
2 aatet(n,j),aadsw(n,j),aainf(n,j),aainfr(n,j), 
3 aaoff(n,j),aarun(n,j) 
c 
if(aappt(n,j).eq.0.) goto 120 
massb(n,j) = -9999.0 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 L-6 November 2004 
maxbal(n,j) = -9999.0 
c 
c error trap 
if((easting(n,j).ne.easting(n,1).or. 
1 northing(n,j).ne.northing(n,1))) stop 
c 
if(j.eq.1) modstamp(n) = modinfo(i) 
n2 = n2 + 1 
aainf(n,0) = 99999999. 
n = n + 1 
goto 120 
c 
320 nlast = n-1 
n2 = n2 - 1 
close(8) 
c 
endif 
write(*,*) i,j,nstart,n2,nlast 
write(14,*) i,j,nstart,n2,nlast 
c 
350 continue 
nstart = nlast+1 
c 
400 continue 
c 
write(14,401) 
401 format(/) 
c 
ndata = nlast 
do 600 i = 1,ndata 
do 600 j = 1,nmap 
c 
c do simple averaging 
if(imod2.ne.2) then 
aappt(i,0) = aappt(i,0) + aappt(i,j) 
aarain(i,0) = aarain(i,0) + aarain(i,j) 
aasnow(i,0) = aasnow(i,0) + aasnow(i,j) 
aasncv(i,0) = aasncv(i,0) + aasncv(i,j) 
aamelt(i,0) = aamelt(i,0) + aamelt(i,j) 
aasubl(i,0) = aasubl(i,0) + aasubl(i,j) 
aatet(i,0) = aatet(i,0) + aatet(i,j) 
aainfr(i,0) = aainfr(i,0) + aainfr(i,j) 
aadsw(i,0) = aadsw(i,0) + aadsw(i,j) 
aainf(i,0) = aainf(i,0) + aainf(i,j) 
aaoff(i,0) = aaoff(i,0) + aaoff(i,j) 
aarun(i,0) = aarun(i,0) + aarun(i,j) 
massb(i,0) = massb(i,0) + massb(i,j) 
maxbal(i,0) = maxbal(i,0) + maxbal(i,j) 
massb2(i,0) = massb2(i,0) + massb2(i,j) 
c 
c mod mapadd02 (5/30/99) to catch mass balance error 
if(massb(i,j).gt.maxerr) 
1 write(15,605) easting(i,j),northing(i,j),massb(i,j),j 
c 
if(massb(i,j).lt.minerr) 
1 write(15,605) easting(i,j),northing(i,j),massb(i,j),j 
c 
605 format(2f11.1,1x,g16.6,1x,i2) 
c 
c 
c lower bound modern day climate 
else if(imod2.eq.2) then 
if(aainf(i,0).gt.aainf(i,j)) then 
aainf(i,0) = aainf(i,j) 
aappt(i,0) = aappt(i,j) 
aarain(i,0) = -9999.0 
aasnow(i,0) = -9999.0 
aasncv(i,0) = -9999.0 
aamelt(i,0) = -9999.0 
aasubl(i,0) = -9999.0 
aatet(i,0) = aatet(i,j) 
aainfr(i,0) = aainfr(i,j) 
aadsw(i,0) = aadsw(i,j) 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 L-7 November 2004 
aaoff(i,0) = aaoff(i,j) 
aarun(i,0) = aarun(i,j) 
massb(i,0) = -9999.0 
maxbal(i,0) = -9999.0 
massb2(i,0) = -9999.0 
endif 
endif 
c 
600 continue 
c 
c 
c write header line 
write(12,4915) 
4915 format(5x,easting,3x,northing,1x,7x,precip,9x,rain, 
1 4x,snow-fall,3x,snow-cover,4x,snow-melt, 
2 2x,sublimation, 
2 3x,evapotrans,4x,run-infil,5x,del-soil, 
3 4x,net-infil,7x,runoff,11x,run-on, 
4 5x,mass-balance,6x,max-balance, 
5 2x,mass-balance #2,3x,model ID) 
c 
write(13,4925) 
4925 format(5x,easting,3x,northing,1x,7x,precip,9x,rain, 
1 4x,snow-fall,3x,snow-cover,4x,snow-melt, 
2 2x,sublimation, 
2 3x,evapotrans,4x,run-infil,5x,del-soil, 
3 4x,net-infil,7x,runoff,11x,run-on, 
4 5x,mass-balance,6x,max-balance, 
5 2x,mass-balance #2) 
c 
c 
c initialize statistical parameters 
maxppt = 1E-30 
maxrain = 1E-30 
maxsnow = 1E-30 
maxsncv = 1E-30 
maxmelt = 1E-30 
maxsubl = 1E-30 
maxtet = 1E-30 
maxinfr = 1E-30 
maxdsw = 1E-30 
maxinf = 1E-30 
maxoff = 1E-30 
maxrun = 1E-30 
maxmassb = 1E-30 
mxmaxbal = 1E-30 
mxmassb2 = 1E-30 
c 
minppt = 1e+30 
minrain = 1e+30 
minsnow = 1e+30 
minsncv = 1e+30 
minmelt = 1e+30 
minsubl = 1e+30 
mintet = 1e+30 
mininfr = 1e+30 
mindsw = 1e+30 
mininf = 1e+30 
minoff = 1e+30 
minrun = 1e+30 
minmassb = 1e+30 
mnmaxbal = 1e+30 
mnmassb2 = 1e+30 
c 
c 
c begin final processing 
write(*,*) 
n3 = 0 
fn = 0 
do 700 i = 1,ndata 
fn = fn + 1. 
n3 = n3 + 1 
pdone = (fn/ndata)*100. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 L-8 November 2004 
if(n3.eq.1000) then 
write(*,*) i,pdone 
n3 = 0 
endif 
c 
if(imod2.ne.2) then 
aappt(i,0) = aappt(i,0)/nmap 
aarain(i,0) = aarain(i,0)/nmap 
aasnow(i,0) = aasnow(i,0)/nmap 
aasncv(i,0) = aasncv(i,0)/nmap 
aamelt(i,0) = aamelt(i,0)/nmap 
aasubl(i,0) = aasubl(i,0)/nmap 
aatet(i,0) = aatet(i,0)/nmap 
aainfr(i,0) = aainfr(i,0)/nmap 
aadsw(i,0) = aadsw(i,0)/nmap 
aainf(i,0) = aainf(i,0)/nmap 
aaoff(i,0) = aaoff(i,0)/nmap 
aarun(i,0) = aarun(i,0)/nmap 
massb(i,0) = massb(i,0)/nmap 
maxbal(i,0) = maxbal(i,0)/nmap 
massb2(i,0) = massb2(i,0)/nmap 
c 
if(imod2.eq.0) then 
aarain(i,0) = -9999.0 
aasnow(i,0) = -9999.0 
aasncv(i,0) = -9999.0 
aamelt(i,0) = -9999.0 
aasubl(i,0) = -9999.0 
massb2(i,0) = -9999.0 
endif 
endif 
c 
c 
if(aappt(i,0).gt.maxppt) maxppt = aappt(i,0) 
if(aarain(i,0).gt.maxrain) maxrain = aarain(i,0) 
if(aasnow(i,0).gt.maxsnow) maxsnow = aasnow(i,0) 
if(aasncv(i,0).gt.maxsncv) maxsncv = aasncv(i,0) 
if(aamelt(i,0).gt.maxmelt) maxmelt = aamelt(i,0) 
if(aasubl(i,0).gt.maxsubl) maxsubl = aasubl(i,0) 
if(aatet(i,0).gt.maxtet) maxtet = aatet(i,0) 
if(aainfr(i,0).gt.maxinfr) maxinfr = aainfr(i,0) 
if(aadsw(i,0).gt.maxdsw) maxdsw = aadsw(i,0) 
if(aainf(i,0).gt.maxinf) maxinf = aainf(i,0) 
if(aaoff(i,0).gt.maxoff) maxoff = aaoff(i,0) 
if(aarun(i,0).gt.maxrun) maxrun = aarun(i,0) 
if(massb(i,0).gt.maxmassb) maxmassb = massb(i,0) 
if(maxbal(i,0).gt.mxmaxbal) mxmaxbal = maxbal(i,0) 
if(massb2(i,0).gt.mxmassb2) mxmassb2 = massb2(i,0) 
c 
c 
if(aappt(i,0).lt.minppt) minppt = aappt(i,0) 
if(aarain(i,0).lt.minrain) minrain = aarain(i,0) 
if(aasnow(i,0).lt.minsnow) minsnow = aasnow(i,0) 
if(aasncv(i,0).lt.minsncv) minsncv = aasncv(i,0) 
if(aamelt(i,0).lt.minmelt) minmelt = aamelt(i,0) 
if(aasubl(i,0).lt.minsubl) minsubl = aasubl(i,0) 
if(aatet(i,0).lt.mintet) mintet = aatet(i,0) 
if(aainfr(i,0).lt.mininfr) mininfr = aainfr(i,0) 
if(aadsw(i,0).lt.mindsw) mindsw = aadsw(i,0) 
if(aainf(i,0).lt.mininf) mininf = aainf(i,0) 
if(aaoff(i,0).lt.minoff) minoff = aaoff(i,0) 
if(aarun(i,0).lt.minrun) minrun = aarun(i,0) 
if(massb(i,0).lt.minmassb) minmassb = massb(i,0) 
if(maxbal(i,0).lt.mnmaxbal) mnmaxbal = maxbal(i,0) 
if(massb2(i,0).lt.mnmassb2) mnmassb2 = massb2(i,0) 
c 
c 
gaappt = gaappt + aappt(i,0) 
gaarain = gaarain + aarain(i,0) 
gaasnow = gaasnow + aasnow(i,0) 
gaasncv = gaasncv + aasncv(i,0) 
gaamelt = gaamelt + aamelt(i,0) 
gaasubl = gaasubl + aasubl(i,0) 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 L-9 November 2004 
gaatet = gaatet + aatet(i,0) 
gaainfr = gaainfr + aainfr(i,0) 
gaadsw = gaadsw + aadsw(i,0) 
gaainf = gaainf + aainf(i,0) 
gaaoff = gaaoff + aaoff(i,0) 
gaarun = gaarun + aarun(i,0) 
gmassb = gmassb + massb(i,0) 
gmaxbal = gmaxbal + maxbal(i,0) 
gmassb2 = gmassb2 + massb2(i,0) 
c 
C 
write(12,4905) easting(i,1),northing(i,1), 
1 aappt(i,0),aarain(i,0),aasnow(i,0),aasncv(i,0), 
2 aamelt(i,0),aasubl(i,0),aatet(i,0),aainfr(i,0), 
3 aadsw(i,0),aainf(i,0),aaoff(i,0),aarun(i,0), 
4 massb(i,0),maxbal(i,0),massb2(i,0),modstamp(i) 
c 
4905 format(1x,2f11.1,1x,11f13.5,4(1x,g16.7),3x,a22) 
c 
write(13,4935) easting(i,1),northing(i,1), 
1 aappt(i,0),aarain(i,0),aasnow(i,0),aasncv(i,0), 
2 aamelt(i,0),aasubl(i,0),aatet(i,0),aainfr(i,0), 
3 aadsw(i,0),aainf(i,0),aaoff(i,0),aarun(i,0), 
4 massb(i,0),maxbal(i,0),massb2(i,0) 
c 
4935 format(1x,2f11.1,1x,11f13.5,4(1x,g16.7)) 
c 
700 continue 
c 
gaappt = gaappt/ndata 
gaarain = gaarain/ndata 
gaasnow = gaasnow/ndata 
gaasncv = gaasncv/ndata 
gaamelt = gaamelt/ndata 
gaasubl = gaasubl/ndata 
gaatet = gaatet/ndata 
gaainfr = gaainfr/ndata 
gaadsw = gaadsw/ndata 
gaainf = gaainf/ndata 
gaaoff = gaaoff/ndata 
gaarun = gaarun/ndata 
gmassb = gmassb/ndata 
gmaxbal = gmaxbal/ndata 
gmassb2 = gmassb2/ndata 
c 
c 
write(14,7005) ndata,gaappt,maxppt,minppt,gaarain,maxrain, 
1 minrain,gaasnow,maxsnow,minsnow,gaasncv,maxsncv,minsncv, 
2 gaamelt,maxmelt,minmelt,gaasubl,maxsubl,minsubl,gaatet, 
3 maxtet,mintet,gaainfr,maxinfr,mininfr,gaadsw,maxdsw, 
4 mindsw,gaainf,maxinf,mininf,gaaoff,maxoff,minoff,gaarun, 
5 maxrun,minrun,gmassb,maxmassb,minmassb,gmaxbal,mxmaxbal, 
6 mnmaxbal,gmassb2,mxmassb2,mnmassb2 
c 
write(*,7005) ndata,gaappt,maxppt,minppt,gaarain,maxrain, 
1 minrain,gaasnow,maxsnow,minsnow,gaasncv,maxsncv,minsncv, 
2 gaamelt,maxmelt,minmelt,gaasubl,maxsubl,minsubl,gaatet, 
3 maxtet,mintet,gaainfr,maxinfr,mininfr,gaadsw,maxdsw, 
4 mindsw,gaainf,maxinf,mininf,gaaoff,maxoff,minoff,gaarun, 
5 maxrun,minrun,gmassb,maxmassb,minmassb,gmaxbal,mxmaxbal, 
6 mnmaxbal,gmassb2,mxmassb2,mnmassb2 
c 
c 
7005 format(//1x,Total number of cells: ,i12/, 
c 
1/1x,Parameter ,Average ,5x, 
2Maximum ,5x,Minimum,/ 
c 
1/1x,Precipitation (mm/yr): ,f14.6,3x,f14.6,3x,f14.6, 
2/1x,Rain (mm/yr): ,f14.6,3x,f14.6,3x,f14.6, 
3/1x,Snow-fall (mm/yr): ,f14.6,3x,f14.6,3x,f14.6, 
4/1x,Snow cover (mm/yr): ,f14.6,3x,f14.6,3x,f14.6, 
5/1x,Snow-melt (mm/yr): ,f14.6,3x,f14.6,3x,f14.6, 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 L-10 November 2004 
6/1x,Sublimation (mm/yr): ,f14.6,3x,f14.6,3x,f14.6, 
7/1x,Evapotranspiration (mm/yr): ,f14.6,3x,f14.6,3x,f14.6, 
8/1x,Run-on infiltration (mm/yr): ,f14.6,3x,f14.6,3x,f14.6, 
9/1x,Stored water change (mm/yr): ,f14.6,3x,f14.6,3x,f14.6, 
1/1x,Net infiltration (mm/yr): ,f14.6,3x,f14.6,3x,f14.6, 
2/1x,Run-off (mm/yr): ,f14.6,3x,f14.6,3x,f14.6, 
3/1x,Run-on (mm/yr): ,f14.6,3x,f14.6,3x,f14.6, 
4/1x,Mass balance error (mm/yr): ,g14.6,3x,g14.6,3x,g14.6, 
5/1x,Max daily error (mm/dy): ,g14.6,3x,g14.6,3x,g14.6, 
6/1x,Mass balance 2 (mm/yr): ,g14.6,3x,g14.6,3x,g14.6) 
c 
c 
close(12) 
close(13) 
close(14) 
close(15) 
stop 
end 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 November 2004 
APPENDIX M 
POSTPROCESSING OF MODEL RESULTS USING MAPSUM01 V1.0
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 November 2004 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 M-1 November 2004 
M1. NAME OF ROUTINE/MACRO WITH VERSION/OS/HARDWARE 
ENVIRONMENT AND USER INFORMATION 
Name of software routine: MAPSUM01 V1.0 
OS and hardware environment: Windows NT 4.0, Pentium Pro PC 
Computer Identification: SM321276 with a USGS specific host-name P720dcasr 
Software Users: Joseph Hevesi (916-278-3274), Alan Flint (916-278-3221) 
User Location: U.S. Geological Survey, Room 5000E, Placer Hall, 6000 J Street, Sacramento, 
CA 95819-6129 
M2. NAME OF COMMERCIAL SOFTWARE WITH VERSION/OS/HARDWARE 
USED TO DEVELOP ROUTINE/MACRO 
The source code for MAPSUM01 V1.0 was developed using the standard FORTRAN77 
programming language. The source code was written, debugged, and compiled (for PC platforms 
using INTEL processors) using DIGITAL Visual Fortran with Microsoft Developer Studio, V. 
5.0. 
M3. TEST PLAN. 
 Explain whether this is a routine or macro and describe what it does: 
The software routine, MAPSUM01 V1.0, is a FORTRAN77 routine developed in 
accordance with AP-SI.1Q, Section 5.1.12, specifically for the analysis/model activity 
documented in this report. The documentation provided in this appendix is used to 
satisfy software quality assurance requirements for software routines as defined under 
AP-SI.1Q. 
MAPSUM01 V1.0 is a FORTRAN routine developed to calculate simple summary 
statistics for results obtained from the postprocessing routine MAPADD20 V1.0 
[which is a postprocessing routine for results obtained using INFIL V2.0 
(USGS 2000 [DIRS 139422])]. The summary statistics are calculated for the subset of 
grid cells located within areas defined by SURFER V6.04 output files. The results from 
these calculations are included in tables in the report that are used to compare the results 
obtained for the various different climate scenarios. 
The SURFER V6.04 output files consist of masked raster-based grid files with the 
masked areas defined by vector-based irregular boundary lines that are imported into the 
SURFER V6.04 grid utility application using the standard boundary line file format 
(*.bln format) under the GRID/BLANK menu option. The masked grid is created by 
importing the geospatial input parameter base grid into SURFER V6.04 and creating a 
new master grid based on ground surface elevation. In all cases, the developed SURFER 
V6.04 master grid file is used only to define the grid cell coordinates for the masking 
process and is equivalent to the base grid used to define the geospatial parameter input 
files (Appendices G through N). To complete the masking process, the base grid is 
combined with the imported boundary line and all grid cells located outside of the closed 
boundary are flagged with the standard default null value used by SURFER V6.04 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 M-2 November 2004 
(1.70141E+038). The masked grid is exported as an xyz column formatted ASCII text 
file (the values of the non-masked z-values are irrelevant). Using the masked grid as a 
template for identifying the grid cells located within the area defined by the boundary line 
file specified in SURFER V6.04, MAPSUM01 V1.0 calculates a set of 1st-order summary 
statistics for all the water balance terms (precipitation, evapotranspiration, change in 
root-zone water content, runoff, run-on, net infiltration). The grid cell coordinates and the 
water balance terms are obtained from the input file created by the postprocessing of the 
INFIL V2.0 results using the routine MAPADD20 V1.0. The water balance terms have 
units of millimeters/year. 
For the application of MAPSUM01 used in this report, summary statistics were 
calculated for two different subareas defined by boundary line files imported into 
SURFER V6.04: the Site-Scale Unsaturated Zone Flow and Transport model area and the 
repository area. 
The functions of MAPSUM01 V1.0 are executed using a single routine control file 
named MAPSUM01.CTL. The file defines the input and output file names, and specifies a 
distance tolerance parameter, in units of meters. The distance tolerance parameter 
(set to 10.0 m in all applications of MAPSUM01 used in this report) is needed to 
compensate for differences in the precision of raster grid coordinates used by SURFER 
V6.04 relative to the precision of the input grid defined by the geospatial input parameter 
base grid discussed in section 6.5 of this report. The two input files listed consist of the 
masked SURFER grid (either uzmod2.dat or repos8.dat) saved using the ASCII xyz 
column formatted option and the final output file created by MAPADD20 consisting of 
the developed net infiltration estimates for one of the nine climate scenarios (for example, 
glacialu.dat or modernl.dat) 
The routine source code, compiled executable file, example input and output files, and 
example validation test files are located under the directory MAPSUM01 on the 
CD-ROM labeled POSTINF-1. 
 Source code: (including equations or algorithms from software setup (LabView, 
Excel, etc.): 
A listing of the FORTRAN77 source code for the routine MAPSUM01 V1.0 along with 
examples of the input and output files used in the test plan are included at the end of this 
appendix. 
 Description of test(s): 
To evaluate the accuracy of the routine calculations and output, a test calculation was 
performed. The test involves determining whether the summary statistics calculated 
using the routine are correct. A test was completed using an input file (Glacialm.dat) and 
a boundary file (REPOS8.BLN). For the first part of the test, the auxiliary output file 
created by MAPSUM01, GM-REP8.MAP, was imported into the EXCEL worksheet 
MAPSUM01.XLS and the summary statistics (average, maximum, and minimum values) 
were calculated using functions in EXCEL (AVERAGE, MAX, MIN). The calculated 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 M-3 November 2004 
results were compared against the results listed in the output file, GM-REP8.SUM. For 
the second part of the test, SURFER V6.04 was used to create a masked grid output file 
called Netinfilb.dat. The file was creating using the same technique described in 
section 2 above. GLACIALM.DAT was combined with the imported boundary line 
(REPOS8.BLN) and all grid cells located outside of the closed boundary were flagged 
with the standard default null value used by SURFER V6.04. The masked grid was 
exported as an xyz column formatted ASCII text file (NETINFILB.DAT). The data 
included in the exported file (NETINFILB.DAT) includes northing, easting, and net 
infiltration. NETINFILB.DAT was imported into MAPSUM01.XLS and summary 
statistics for net infiltration were calculated using EXCEL commands (AVERAGE, 
MAX, MIN). In both test cases, if the values calculated in MAPSUM01.XLS were found 
to be within the acceptance criteria defined as + or  0.01, then the routine correctly 
calculated the summary statistics. 
 Specify the range of input values to be used and why the range is valid: 
The range of input values to be used is equivalent to the range of output values calculated 
by INFIL V2.0. There are no criteria for the range of input values. 
M4. TEST RESULTS 
 Output from test: 
The output from the test is located in attached file, MAPSUM01.XLS. This file is too 
large to be included in the appendix as a printed table. 
 Description of how the testing shows that the results are correct for the specified 
input: 
The sequence of calculations performed using MAPSUM01 is very basic and were easily 
compared to calculations performed by EXCEL. Summary statistics were calculated in 
the EXCEL worksheet MAPSUM01.XLS using the auxiliary output file, GM-REP8.MAP. 
The calculated statistics exactly matched the output in the summary file, GM-REP8.SUM. 
The summary statistics (average, maximum, and minimum values) for net infiltration 
were also calculated in MAPSUM01.XLS using a manually extracted subset of the grid 
cells located within the boundary defined by REPOS8.BLN. The calculated statistics 
were found to be within the output values in GM-REP8.SUM and were found to be within 
the acceptance criteria defined as + or  0.01. 
 List limitations or assumptions to this test case and code in general: 
Limitations are only those inherent in the input files, and in the ability of the reviewer to 
determine if the summary statistics calculated using EXCEL are within the acceptance 
criteria. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 M-4 November 2004 
 Electronic files identified by name and location (include disc if necessary): 
Electronic files are located on CD-ROM labeled POSTINF-1, under the 
directory MAPSUM01, included as an Appendix to the report. The following 
electronic files are provided: 
REPOS8.BLN: boundary line file for the repository area 
REPOS8.DAT: Masking file creating by SURFER V6.04 
GLACIALM.DAT: input file used to create Netinfilb.dat 
GM-REP8.SUM: MAPSUM01 output file with summary statistics. 
GM-REP8.MAP: subset of results extracted from the input file, GLACIALM.DAT 
using the SURFER V6.04 masking file, REPOS8.DAT. This 
file is created as an auxiliary output file and is used as part of 
the test plan. 
NETINFILB.DAT: the masked file used to test summary statistic calculations 
MAPSUM01.XLS: the EXCEL file used to calculate summary statistics 
M5. SUPPORTING INFORMATION. INCLUDE BACKGROUND INFORMATION, 
SUCH AS REVISION TO A PREVIOUS ROUTINE OR MACRO, OR 
EXPLANATION OF THE STEPS PERFORMED TO RUN THE SOFTWARE. 
INCLUDE LISTINGS OF ALL ELECTRONIC FILES AND CODES USED 
 Procedure for running routine: 
To run the routine, MAPSUM01 V1.0, the executable file (MAPSUM01.EXE), the 
routine control file (MAPSUM01.CTL), and the input files specified in the routine 
control file (REPOS8.DAT and GLACIALM.DAT) must be placed in the same 
directory. The routine is executed by typing MAPSUM01 in a DOS window or by 
double clicking on the file, MAPSUM01.EXE in the Microsoft Windows operating 
system, or by typing in the path and filename in the RUN window of the Windows 
NT or Windows 98 start menu. The input and output file names must be in the correct 
sequential order as specified in the routine control file (see example listing below). 
 Example listing of routine control file, MAPSUM01.CTL 
mapsum01.ctl: 1999 potential repository 8 model area mean glacial transition 
climate results (gm-5os) 9/1/99 (header line) 
repos8.dat (masked SURFER grid) 
10.0 (distance tolerance, in meters) 
glacialm.dat (output from MAPADD20) 
gm-rep8.sum (main output file) 
gm-rep8.map (secondary output file used for validation) 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 M-5 November 2004 
 Example listing of input file, GLACIALM.DAT developed as output from 
MAPADD20 V1.0 (Appendix L). Only the first 10 lines of the file are listed. 
easting northing precip rain snow-fall snow-cover 
snow-melt sublimation evapotrans run-infil del-soil net-infil 
runoff run-on mass-balance max-balance mass-balance #2 
546521.0 4083693.0 368.26735 237.21505 131.05230 6014.18170 
111.78057 18.73772 295.42480 0.00000 1.64116 8.36099 
43.56865 0.000000 -0.1900702E-12 -0.5748180E-13 0.4144834E-12 
546491.0 4083693.0 368.13263 237.12826 131.00436 5982.74314 
111.45309 19.02130 299.99299 0.00000 1.61317 7.53981 
39.43538 0.000000 -0.1474375E-12 -0.4412211E-13 -0.4950116E-12 
546461.0 4083693.0 367.86326 236.95475 130.90850 5940.35044 
111.21879 19.16479 300.29268 0.00000 1.60110 7.40576 
38.87402 0.000000 -0.8467299E-13 -0.3442154E-13 -0.1243450E-12 
546551.0 4083663.0 367.72877 236.86812 130.86064 5919.97186 
111.12073 19.21742 300.43058 0.00000 1.59464 7.34809 
38.61555 0.000000 -0.3262575E-12 -0.3953319E-13 -0.6394882E-13 
546521.0 4083663.0 367.59435 236.78154 130.81281 5891.78511 
110.86277 19.43119 297.85613 0.00000 1.57294 7.65572 
40.55952 0.000000 -0.4571159E-12 -0.3654484E-13 0.4736952E-14 
546581.0 4083663.0 367.59435 236.78154 130.81281 5916.66076 
111.39227 18.89784 301.85962 0.00000 1.61581 7.21073 
37.48765 0.000000 -0.4979722E-12 -0.1243450E-13 0.4736952E-14 
546491.0 4083663.0 367.32570 236.60850 130.71721 5842.78144 
110.47885 19.72574 293.19867 2.88793 1.57708 8.34757 
46.85196 40.68072 -0.2291500E-12 -0.1058413E-13 0.1918465E-12 
546461.0 4083663.0 367.05740 236.43568 130.62173 5804.76115 
110.32784 19.78588 290.94198 2.61177 1.58257 8.62725 
48.22348 36.82361 -0.3440211E-12 -0.5570544E-13 0.3884299E-12 
546641.0 4083633.0 366.92344 236.34938 130.57405 5821.65830 
111.01392 19.04874 299.54145 0.00000 1.58696 7.43119 
38.80370 0.000000 -0.4825768E-12 -0.9131585E-14 -0.6335671E-12 
546551.0 4083633.0 366.78944 236.26307 130.52638 5747.27079 
109.73212 20.29416 281.71067 0.00000 1.60689 9.76482 
52.91281 0.000000 -0.8052816E-13 -0.4344557E-13 0.2250050E-13 
 Example listing of input file, REPOS8.DAT developed as output from 
SURFER V6.04. Only the first 10 lines of the file are listed. 
544691 4.07079E+006 1.70141E+038 
544721 4.07079E+006 1.70141E+038 
544751 4.07079E+006 1.70141E+038 
544781 4.07079E+006 1.70141E+038 
544811 4.07079E+006 1.70141E+038 
544841 4.07079E+006 1.70141E+038 
544871 4.07079E+006 1.70141E+038 
544901 4.07079E+006 1.70141E+038 
544931 4.07079E+006 1.70141E+038 
544961 4.07079E+006 1.70141E+038 
 Example listing of input file, GM-REP8.MAP developed as output from 
SURFER V6.04. Only the first 20 lines of the file are listed. 
easting northing precip rain snow-fall snowcover 
snow-melt sublimation evapotrans run-infil delsoil 
net-infil runoff run-on mass-balance 
max-balance mass-balance #2 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 M-6 November 2004 
547511.0 4077123.0 333.84400 268.69023 65.15376 1552.67875 
56.88268 8.13961 277.04121 0.00000 1.32346 45.97340 
1.23486 0.000000 0.1782278E-12 0.1032971E-13 0.1835568E-13 
547511.0 4077093.0 333.73145 268.77621 64.95524 1550.48055 
56.99238 7.83101 275.78499 0.00000 1.35319 47.36268 
1.26772 0.000000 0.2152353E-12 -0.9714450E-14 -0.1125026E-13 
547541.0 4077243.0 333.50649 268.59503 64.91146 1545.16400 
57.14216 7.63807 276.53962 0.00000 1.35540 46.73842 
1.10377 0.000000 0.3102703E-12 0.3141931E-13 0.2048731E-12 
547511.0 4077063.0 333.50649 268.59503 64.91146 1539.99094 
56.92711 7.85386 280.47958 0.00000 1.29955 42.97566 
0.76734 0.000000 0.2466175E-12 -0.2647420E-13 0.2048731E-12 
547541.0 4077303.0 333.39417 268.50457 64.88959 1548.25314 
57.46022 7.29764 271.82076 0.00000 1.45925 51.15653 
1.52826 0.000000 0.9473890E-14 -0.2486900E-13 -0.3552714E-14 
547541.0 4077273.0 333.39417 268.50457 64.88959 1545.67277 
57.35112 7.40711 273.88094 0.00000 1.39549 49.26052 
1.31875 0.000000 0.2486900E-13 -0.2645107E-13 -0.3552714E-14 
547541.0 4077213.0 333.39417 268.50457 64.88959 1536.20367 
56.95580 7.80378 278.87171 0.00000 1.31351 44.34935 
0.92580 0.000000 0.8348877E-13 0.4296563E-13 -0.3552714E-14 
547541.0 4077183.0 333.28195 268.41420 64.86775 1533.10773 
57.01330 7.72482 280.05637 0.00000 1.30797 43.29325 
0.76992 0.000000 0.3141191E-12 0.2593296E-13 0.2398082E-12 
547511.0 4077033.0 333.28195 268.41420 64.86775 1530.70202 
56.91241 7.82605 280.44832 0.00000 1.29740 42.82034 
0.76055 0.000000 0.3028688E-12 0.8345175E-14 0.2398082E-12 
547541.0 4077153.0 333.16967 268.32377 64.84590 1529.67595 
57.05420 7.66249 279.78108 0.00000 1.31261 43.51451 
0.76977 0.000000 -0.1068775E-12 0.1324866E-13 -0.1948071E-12 
 Example listing of output file, GM-REP8.SUM developed as output from 
MAPSUM01 V1.0. 
mapsum01.ctl: 1999 UZ model 2 area mean glacial transition climate results 
(gm-5os) 9/1/99 
input area file: repos8.dat 
total number of model cells in area: 5231 
average elevation of model cells: 1403.507 
maximum model elevation: 1503.000 
minimum model elevation: 1294.000 
extracted from file: glacialm.dat 
Total number of cells: 5231 
Parameter Average Maximum Minimum 
Precipitation (mm/yr): 323.06747 333.84400 311.82975 
Rain (mm/yr): 272.79706 276.16370 266.97534 
Snow-fall (mm/yr): 50.27041 65.15376 37.75747 
Snow cover (mm/yr): 948.27595 1552.67875 496.53430 
Snow-melt (mm/yr): 44.61409 58.02922 32.53234 
Sublimation (mm/yr): 5.60752 8.78785 2.21182 
Evapotranspiration (mm/yr): 287.82413 477.84380 219.28758 
Run-on infiltration (mm/yr): 11.95439 676.58013 0.00000 
Stored water change (mm/yr): 1.82030 16.35798 -0.56969 
Net infiltration (mm/yr): 19.78021 590.96199 0.00000 
Run-off (mm/yr): 19.94089 92.67664 0.00000 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 M-7 November 2004 
Run-on (mm/yr): 202.82021 11553.51000 0.00000 
Mass balance error (mm/yr): -0.16082E-13 0.79992E-11 -0.49241E-11 
Max daily error (mm/dy): -0.26853E-15 0.49614E-12 -0.39888E-12 
Mass balance 2 (mm/yr): 0.14078E-13 0.30553E-12 -0.32389E-12 
M6. LISTING OF SOURCE CODE FOR MAPSUM01 V1.0 
program mapsum01 
c version 1.0 
c 
c program for post-processing of main output from 
c program MAPADD20. MAPADD20 is used to create final output maps 
c for all output components (precip, et, net-infil, etc) generated 
c from INFIL2 MAPSUM01 post processing uses blanked 
c SURFER grids (ASCII xyz format) to define areas over which 
c the summary statistics are calculated. 
c 
c SURFER dat file (blanked grid) input variables 
double precision east,north,elev,space 
double precision east1(500000),north1(500000),elev1(500000) 
double precision avgelev,maxelev,minelev 
double precision maxeast,mineast,maxnorth,minnorth 
c 
c Input variables for main input file 
double precision easting(500000),northing(500000), 
1 precip(500000),rain(500000),snowfall(500000),snowcov(500000), 
2 snowmelt(500000),subl(500000),evap(500000),runinf(500000), 
3 delsoil(500000),netinf(500000),runoff(500000), 
4 runon(500000),massb(500000),maxmassb(500000),massb2(500000) 
c 
c output variables 
double precision avgppt,maxppt,minppt,avgrain,maxrain, 
1 minrain,avgsnfl,maxsnfl,minsnfl,avgsncv,maxsncv,minsncv, 
2 avgmelt,maxmelt,minmelt,avgsub,maxsub,minsub,avgevap, 
3 maxevap,minevap,avgrinf,maxrinf,minrinf,avgdels,maxdels, 
4 mindels,avginf,maxinf,mininf,avgoff,maxoff,minoff,avgon, 
5 maxon,minon,avgmb,maxmb,minmb,avgmaxb,maxmaxb,minmaxb, 
6 avgmb2,maxmb2,minmb2 
c 
c general input variables 
character*120 header 
character*20 areafile,infile,outsum,outarea 
c 
c begin program: read-in control file 
open(unit=7,file=mapsum01.ctl) 
15 format(a) 
read(7,15) header 
read(7,15) areafile 
read(7,*) space 
read(7,15) infile 
read(7,15) outsum 
read(7,15) outarea 
c 
open(unit=8,file=areafile) 
open(unit=9,file=infile) 
open(unit=20,file=outsum) 
open(unit=21,file=outarea) 
c 
c set header line for map output file 
c (this file used as input for TRANSFORM and SURFER) 
write(21,4925) 
4925 format(5x,easting,3x,northing,1x,7x,precip,9x,rain, 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 M-8 November 2004 
1 4x,snow-fall,3x,snow-cover,4x,snow-melt, 
2 2x,sublimation, 
2 3x,evapotrans,4x,run-infil,5x,del-soil, 
3 4x,net-infil,7x,runoff,11x,run-on, 
4 5x,mass-balance,6x,max-balance, 
5 2x,mass-balance #2) 
c 
c 
c initialize statistics for areafile (SURFER blanked area) 
avgelev = 0. 
maxelev = -99999. 
minelev = 9999999999. 
maxeast = -99999. 
mineast = 9999999999. 
maxnorth = -99999. 
minnorth = 9999999999. 
c 
c read-in SURFER blanked area file (ASCII *.dat export file) 
n1 = 0 
100 read(8,*,end=190) east,north,elev 
if(elev.lt.1.0e10) then 
n1 = n1+1 
east1(n1) = east 
north1(n1) = north 
elev1(n1) = elev 
avgelev = avgelev + elev 
if(maxelev.lt.elev) maxelev = elev 
if(minelev.gt.elev) minelev = elev 
if(maxeast.lt.east) maxeast = east 
if(mineast.gt.east) mineast = east 
if(maxnorth.lt.north) maxnorth = north 
if(minnorth.gt.north) minnorth = north 
endif 
goto 100 
c 
190 avgelev = avgelev/n1 
write(*,15) header 
write(20,15) header 
write(*,195) areafile,n1,avgelev,maxelev,minelev 
write(20,195) areafile,n1,avgelev,maxelev,minelev 
195 format(//,input area file: ,a20, 
1 /,total number of model cells in area: ,i12, 
2 /,average elevation of model cells: ,f12.3, 
3 /,maximum model elevation: ,f12.3, 
4 /,minimum model elevation: ,f12.3) 
c 
c 
read(9,15) header 
n = 1 
200 read(9,*,end=290) easting(n),northing(n), 
1 precip(n),rain(n),snowfall(n),snowcov(n), 
2 snowmelt(n),subl(n),evap(n),runinf(n), 
3 delsoil(n),netinf(n),runoff(n), 
4 runon(n),massb(n),maxmassb(n),massb2(n) 
n = n + 1 
goto 200 
290 n = n-1 
c 
c initialize statistics 
avgppt = 0. 
maxppt = -999999. 
minppt = 9999999. 
avgrain = 0. 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 M-9 November 2004 
maxrain = -999999. 
minrain = 9999999. 
avgsnfl = 0. 
maxsnfl = -999999. 
minsnfl = 9999999. 
avgsncv = 0. 
maxsncv = -999999. 
minsncv = 9999999. 
avgmelt = 0. 
maxmelt = -999999. 
minmelt = 9999999. 
avgsub = 0. 
maxsub = -999999. 
minsub = 9999999. 
avgevap = 0. 
maxevap = -999999. 
minevap = 9999999. 
avgrinf = 0. 
maxrinf = -999999. 
minrinf = 9999999. 
avgdels = 0. 
maxdels = -999999. 
mindels = 9999999. 
avginf = 0. 
maxinf = -999999. 
mininf = 9999999. 
avgoff = 0. 
maxoff = -999999. 
minoff = 9999999. 
avgon = 0. 
maxon = -999999. 
minon = 9999999. 
avgmb = 0. 
maxmb = -999999. 
minmb = 9999999. 
avgmaxb = 0. 
maxmaxb = -999999. 
minmaxb = 9999999. 
avgmb2 = 0. 
maxmb2 = -999999. 
minmb2 = 9999999. 
c 
c extract area statistics 
n2 = 0 
do 500 i = 1,n 
if(((easting(i).lt.maxeast+space).and. 
1 (easting(i).gt.mineast-space)).and. 
2 ((northing(i).lt.maxnorth+space).and. 
3 (northing(i).gt.minnorth-space))) then 
do 520 j = 1,n1 
if(((easting(i).lt.east1(j)+space).and. 
1 (easting(i).gt.east1(j)-space)).and. 
2 ((northing(i).lt.north1(j)+space).and. 
3 (northing(i).gt.north1(j)-space))) then 
4 avgppt = avgppt + precip(i) 
if(precip(i).gt.maxppt) maxppt = precip(i) 
if(precip(i).lt.minppt) minppt = precip(i) 
avgrain = avgrain + rain(i) 
if(rain(i).gt.maxrain) maxrain = rain(i) 
if(rain(i).lt.minrain) minrain = rain(i) 
avgsnfl = avgsnfl + snowfall(i) 
if(snowfall(i).gt.maxsnfl) maxsnfl = snowfall(i) 
if(snowfall(i).lt.minsnfl) minsnfl = snowfall(i) 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 M-10 November 2004 
avgsncv = avgsncv + snowcov(i) 
if(snowcov(i).gt.maxsncv) maxsncv = snowcov(i) 
if(snowcov(i).lt.minsncv) minsncv = snowcov(i) 
avgmelt = avgmelt + snowmelt(i) 
if(snowmelt(i).gt.maxmelt) maxmelt = snowmelt(i) 
if(snowmelt(i).lt.minmelt) minmelt = snowmelt(i) 
avgsub = avgsub + subl(i) 
if(subl(i).gt.maxsub) maxsub = subl(i) 
if(subl(i).lt.minsub) minsub = subl(i) 
avgevap = avgevap + evap(i) 
if(evap(i).gt.maxevap) maxevap = evap(i) 
if(evap(i).lt.minevap) minevap = evap(i) 
avgrinf = avgrinf + runinf(i) 
if(runinf(i).gt.maxrinf) maxrinf = runinf(i) 
if(runinf(i).lt.minrinf) minrinf = runinf(i) 
avgdels = avgdels + delsoil(i) 
if(delsoil(i).gt.maxdels) maxdels = delsoil(i) 
if(delsoil(i).lt.mindels) mindels = delsoil(i) 
avginf = avginf + netinf(i) 
if(netinf(i).gt.maxinf) maxinf = netinf(i) 
if(netinf(i).lt.mininf) mininf = netinf(i) 
avgoff = avgoff + runoff(i) 
if(runoff(i).gt.maxoff) maxoff = runoff(i) 
if(runoff(i).lt.minoff) minoff = runoff(i) 
avgon = avgon + runon(i) 
if(runon(i).gt.maxon) maxon = runon(i) 
if(runon(i).lt.minon) minon = runon(i) 
avgmb = avgmb + massb(i) 
if(massb(i).gt.maxmb) maxmb = massb(i) 
if(massb(i).lt.minmb) minmb = massb(i) 
avgmaxb = avgmaxb + maxmassb(i) 
if(maxmassb(i).gt.maxmaxb) maxmaxb = maxmassb(i) 
if(maxmassb(i).lt.minmaxb) minmaxb = maxmassb(i) 
avgmb2 = avgmb2 + massb2(i) 
if(massb2(i).gt.maxmb2) maxmb2 = massb2(i) 
if(massb2(i).lt.minmb2) minmb2 = massb2(i) 
c 
c write output to extracted map data file 
write(21,595) easting(i),northing(i),precip(i), 
1 rain(i),snowfall(i),snowcov(i),snowmelt(i),subl(i), 
2 evap(i),runinf(i),delsoil(i),netinf(i),runoff(i), 
3 runon(i),massb(i),maxmassb(i),massb2(i) 
c 
595 format(1x,2f11.1,1x,11f13.5,4(1x,g16.7)) 
c 
n2 = n2 + 1 
c 
endif 
520 continue 
endif 
500 continue 
c 
c error trap 
if(n2.ne.n1) stop 
c 
avgppt = avgppt/float(n2) 
avgrain = avgrain/float(n2) 
avgsnfl = avgsnfl/float(n2) 
avgsncv = avgsncv/float(n2) 
avgmelt = avgmelt/float(n2) 
avgsub = avgsub/float(n2) 
avgevap = avgevap/float(n2) 
Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 M-11 November 2004 
avgrinf = avgrinf/float(n2) 
avgdels = avgdels/float(n2) 
avginf = avginf/float(n2) 
avgoff = avgoff/float(n2) 
avgon = avgon/float(n2) 
avgmb = avgmb/float(n2) 
avgmaxb = avgmaxb/float(n2) 
avgmb2 = avgmb2/float(n2) 
c 
c write summary statistics to summary output file 
write(*,605) infile 
write(20,605) infile 
605 format(//,extracted from file: ,a20) 
c 
write(*,7005) n2,avgppt,maxppt,minppt,avgrain,maxrain, 
1 minrain,avgsnfl,maxsnfl,minsnfl,avgsncv,maxsncv,minsncv, 
2 avgmelt,maxmelt,minmelt,avgsub,maxsub,minsub,avgevap, 
3 maxevap,minevap,avgrinf,maxrinf,minrinf,avgdels,maxdels, 
4 mindels,avginf,maxinf,mininf,avgoff,maxoff,minoff,avgon, 
5 maxon,minon,avgmb,maxmb,minmb,avgmaxb,maxmaxb, 
6 minmaxb,avgmb2,maxmb2,minmb2 
c 
write(20,7005) n2,avgppt,maxppt,minppt,avgrain,maxrain, 
1 minrain,avgsnfl,maxsnfl,minsnfl,avgsncv,maxsncv,minsncv, 
2 avgmelt,maxmelt,minmelt,avgsub,maxsub,minsub,avgevap, 
3 maxevap,minevap,avgrinf,maxrinf,minrinf,avgdels,maxdels, 
4 mindels,avginf,maxinf,mininf,avgoff,maxoff,minoff,avgon, 
5 maxon,minon,avgmb,maxmb,minmb,avgmaxb,maxmaxb, 
6 minmaxb,avgmb2,maxmb2,minmb2 
c 
7005 format(//1x,Total number of cells: ,i12/, 
c 
1/1x,Parameter ,Average ,3x, 
2Maximum ,3x,Minimum,/ 
c 
1/1x,Precipitation (mm/yr): ,f12.5,3x,f12.5,3x,f12.5, 
2/1x,Rain (mm/yr): ,f12.5,3x,f12.5,3x,f12.5, 
3/1x,Snow-fall (mm/yr): ,f12.5,3x,f12.5,3x,f12.5, 
4/1x,Snow cover (mm/yr): ,f12.5,3x,f12.5,3x,f12.5, 
5/1x,Snow-melt (mm/yr): ,f12.5,3x,f12.5,3x,f12.5, 
6/1x,Sublimation (mm/yr): ,f12.5,3x,f12.5,3x,f12.5, 
7/1x,Evapotranspiration (mm/yr): ,f12.5,3x,f12.5,3x,f12.5, 
8/1x,Run-on infiltration (mm/yr): ,f12.5,3x,f12.5,3x,f12.5, 
9/1x,Stored water change (mm/yr): ,f12.5,3x,f12.5,3x,f12.5, 
1/1x,Net infiltration (mm/yr): ,f12.5,3x,f12.5,3x,f12.5, 
2/1x,Run-off (mm/yr): ,f12.5,3x,f12.5,3x,f12.5, 
3/1x,Run-on (mm/yr): ,f12.5,3x,f12.5,3x,f12.5, 
4/1x,Mass balance error (mm/yr): ,g12.5,3x,g12.5,3x,g12.5, 
5/1x,Max daily error (mm/dy): ,g12.5,3x,g12.5,3x,g12.5, 
6/1x,Mass balance 2 (mm/yr): ,g12.5,3x,g12.5,3x,g12.5) 
c 
close(20) 
close(21) 
stop 
end 

Simulation of Net Infiltration for Present-Day and Potential Future Climates 
MDL-NBS-HS-000023 REV 00 M-12 November 2004 
INTENTIONALLY LEFT BLANK