Simulation of Net Infiltration for Modern and Potential Future Climates Rev 00, ICN 02 Errata 02

ANL-NBS-HS-000032

June 2003

1.1.PURPOSE
PURPOSE
This Analysis/Model Report (AMR) describes enhancements made to the infiltration model 
documented in Flint et al. (1996) and documents an analysis using the enhanced model to 
generate spatial and temporal distributions over a model domain encompassing the Yucca 
Mountain site, 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 average depth below the ground surface (at a given location) 
from which water is removed by evapotranspiration. The estimates of net infiltration are used for 
defining the upper boundary condition for the site-scale 3-dimensional Unsaturated-Zone Ground 
Water Flow and Transport (UZ flow and transport) Model (CRWMS M&O 2000a). The UZ flow 
and transport model is one of several process models abstracted by the Total System 
Performance Assessment model to evaluate expected performance of the potential repository at 
Yucca Mountain, Nevada, in terms of radionuclide transport (CRWMS M&O 1998). The net-
infiltration model is important for assessing potential repository-system performance because 
output from this model provides the upper boundary condition for the UZ flow and transport 
model that is used to generate flow fields for evaluating potential radionuclide transport through 
the unsaturated zone. Estimates of net infiltration are provided as raster-based, 2-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 provide 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 and transport model. 
The initial model development, calibration, and application conducted in this analysis were 
performed pursuant to AMR Development Plan TDP-NBS-HS-000016 (USGS 2000a). The 
Interim Change Notice 1 (ICN 01) was performed pursuant to Technical Work Plan (TWP) 
TWP-NBS-HS-000001, Rev 00/ICN 01 (CRWMS M&O 2000e). The TWP was prepared in 
accordance with AP-2.21Q, Quality Determinations of Planning for Scientific Engineering, and 
Regulatory Compliance Activities. This analysis consists of (1) modifications to the 1996 model 
code INFIL V1.0 (Flint et al., 1996, Appendix V), (2) an updating of input parameters defining 
the new model INFIL V2.0 (STN 10307-2.0-00), (3) calibration of the new model using stream 
flow records, (4) the development of daily climate input representative of potential future climate 
stages, and (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. Estimation of the 
timing and duration of the potential future climate stages, which consist of a modern, a monsoon, 
and a glacial transition climate stage, is documented in Future Climate Analysis (USGS 
2000b). 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 
USGS (2000b). 
The Interim Change Notice (ICN) 02 was performed pursuant to Technical Work Plan (TWP), 
Technical Work Plan for Unsaturated Zone (UZ) Flow and Transport Process Model Report 

(BSC 2001a), and Technical Work Plan for: Integrated Management of Technical Product Input 
Department (BSC 2001b). The purpose of ICN 02 is to address To Be Verified (TBV) data 
sets that appear on the DIRS form for REV 00 ICN 01. The impact of the change is to correct 
input status entries, replace unqualified data sets with equivalent qualified data sets. The result 
of these changes did not change or impact the output data sets from the AMR or the conclusions 
of the AMR. Therefore, disciplines or functional areas other than the originating organization 
are not affected by these changes and an AP-2.14Q is not required. 
This AMR 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 and transport 
model and the potential repository. The document describes all inputs, procedures, and 
assumptions used to obtain estimates of net infiltration and provides a descriptive summary of 
model results. This AMR provides complete documentation of the net-infiltration model and its 
application, and Scientific Notebooks were not used to document model development. 
2.2.QUALITY ASSURANCEQUALITY ASSURANCE
The activities documented in Rev. 00 of this Analysis/Model Report (AMR) were evaluated in 
accordance with QAP-2-0, Conduct of Activities, and were determined to be subject to the 
requirements of the U.S. DOE Office of Civilian Radioactive Waste Management (OCRWM) 
Quality Assurance Requirements and Description (QARD) (DOE 2000). This evaluation is 
documented in Wemheuer (1999; activity evaluation for work package WP 8191213UU1, UZ 
PMR Rev 0 for SRCR Analysis and Writing). The activities documenting the development of 
the model in AMR REV 00 were conducted in accordance with the Development Plan (USGS 
2000a), which was prepared in accordance with AP-2.13Q, Technical Product Development 
Planning. The activities associated with the preparation of ICN 01 were determined to be 
subject to QARD requirements pursuant to the Activity Evaluation prepared to support Technical 
Work Plan TWP-NBS-HS-000001 (CRWMS M&O 2000e), and for ICN 02 per Technical Work 
Plan TWP-NBS-HS-000001 Rev. 01 (BSC 2001a). The TWP was prepared in accordance with 
AP-2.21Q, Quality Determinations and Planning for Scientific, Engineering, and Regulatory 
Compliance Activities. The methods used to control the electronic management of data are as 
specified in Section 3. 
3.3.COMPUTER SOFTWARECOMPUTER SOFTWARE AND MODEL USAGEAND MODEL USAGE
The software codes listed in Table 3-1 was appropriate for the intended application, and was 
used only within the range of validation in accordance with AP-SI.1Q, Software Management. 
Software, as appropriate, was obtained from Configuration Management and its status may be 
confirmed by review of the Document Input Reference System (DIRS) database. The main body 
of computer software used for this analysis consists of developed FORTRAN routines and 
programs (see Attachments V through XV). The primary model program for obtaining estimates 
of net infiltration is INFIL V2.0 (STN 10307-2.0-00), which is a modified version of INFIL V1.0 
(Flint et al., 1996). 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 AP-SI.1Q, Software Management. No 
previous models were used in this analysis. 

Table 3-1. Computer software used to develop estimates of net infiltration (Attachment I) 
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 AMR 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. 
To provide adequate controls for protecting data and electronic files from damage and 
destruction during their prescribed lifetime, back-up copies of all electronic files were created 
and are maintained on two different media types: removable magnetic disk drives and optical 
CD-ROMs. Two sets of back-up files are maintained on each media type, and the complete set of 
electronic files on the two media types are maintained at two separate locations (Room 5004, 
Placer Hall, 6000 J Street, Sacramento CA 95819-6129, and 8815 Crusheen Way, Sacramento 
CA 95828). The location and description of individual files are catalogued and documented at 
each location. The files on the magnetic media are readily retrieved using any AT-compatible PC 
equipped with IOMEGA1 2GB JAZ drives (files are maintained on both 1 and 2 GB IOMEGA 
JAZ disks). The files on CD-ROMs are readily retrieved using any AT-compatible PC equipped 
with a standard CD-ROM drive. Access to both media types at the two locations is controlled 
and secured. For archived and compressed files, standard unzipping utilities are required for 
accessing files and data. File integrity and accuracy is maintained using standard file checking 
utilities and also by checking calculated statistics for data files and model input and output files. 
For example, each simulation performed using the program INFIL V2.0 includes a set of simple 
output statistics calculated using the input data prior to the actual simulation, and this provides a 
check to ensure that the input files have not been corrupted. For all electronic file transfers and 
file archiving, adequate controls are provided using standard operating system utilities and file 
checking operations to ensure that data transfers and/or file compressions are error free. 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 Attachment IV. The model output files (DTN: 
GS000308311221.005) are available from the Record Processing Center under Accession 
Number: MOL.20000317.0168. 
4.4.INPUTSINPUTS
4.1 DATA AND PARAMETERS 
All data sets and parameters 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 modern and projected 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 
1 IOMEGA and JAZ are registered trademarks of the Iomega Corp., 1821 West Iomega Way, Roy, Utah 84067. 

basis for the net infiltration model. Data qualification efforts, as needed, will be documented in 
accordance with AP-SIII.2Q, Qualification of Unqualified Data and the Documentation of 
Rationale for Accepted Data, and documented separately from this AMR. 
Table 4-1. D ata sets used for model development, calibration, and application. 
(Attachment I) 
4.2 CRITERIA 
This AMR complies with the DOE interim guidance (Dyer, 1999). Subparts of the interim 
guidance that apply to this analysis/modeling activity are those pertaining to the characterization 
of the Yucca Mountain site (Subpart B, Section 15), the compilation of information regarding 
hydrology of the site in support of the License Application (Subpart B, Section 21(c)(1)(ii)), and 
the definition of hydrologic parameters and conceptual models used in performance assessment 
(Subpart E, Section 114(a)). 
4.3 CODES AND STANDARDS 
No specific formally established codes or standards have been identified as applying to this 
analysis. 
5.5.ASSUMPTIONSASSUMPTIONS
The assumptions pertaining to this analysis 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 
(modern, 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 documented 
in CRWMS M&O (2000b). Significant or general assumptions pertaining to this analysis/model 
are noted below. These assumptions are used throughout this AMR and do not require further 
confirmation. 
The numerical representation of the conceptual model depends on the assumption 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. This assumption is supported, in part, by model calibration and model 
validation. 
It is assumed on the basis of numerous YMP peer reviews and several publications (e.g. Hatton, 
1998, pp. 5-7, 16), that the use of INFIL V2.0, which uses a distributed parameter, quasi-three-
dimensional water-balance approach, and associated assumptions, is appropriate for the 
complexity of this analysis/model and is relevant in this large-scale application of providing the 
upper boundary condition to the UZ flow and transport model. It is noted that this approach does 
not necessarily represent the physics of infiltration in soils, but uses a water volume calculation 
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 
ground-water and surface-water flow are not feasible for use in this large-scale application. 
The infiltration model and analysis documented in this AMR are 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. 
For the purpose of estimating potential surface net-infiltration rates and resulting percolation 
fluxes at the potential repository horizon, it is assumed that the climate scenarios developed in 
USGS (2000b) are representative of possible future climate conditions. 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 USGS (2000b). 
Within each cell of the model domain, water is assumed to move vertically downward within soil 
and bedrock, and that on a 30m x 30m grid block basis, there is no lateral diversion within the 
root zone. This is a viable assumption based on several calculations of specific conditions at the 
site. Given a land surface slope of approximately 4 to 6 degrees, the sine of the gravity vector is 
0.07 to 0.10. The saturated hydraulic conductivity of the alluvium is 5.6E-6 m/s to 6.7E-6 m/s 
and the porosity is 35 percent (Attachment IV, Table IV-4). Using Darcys equation 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 m, thereby not moving beyond the 30m x 30m grid block area. 
If the slope were 45 degrees, the distance would be an order of magnitude greater. According to 
Hatton (1998), 1-dimensional, distributed-parameter, water-balance models are appropriate for 
use unless the excess rainfall generates overland flow (which is accommodated by flow routing 
in INFIL V2.0 ), 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, negate this as a significant concern. 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 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 ground water flow model. 
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 indicates 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. This 
assumption is based on interpretations of relative changes in the time series of water content 
profiles measured in boreholes by neutron logging (Flint and Flint, 1995), and corresponding 
nearby measurements of water potential at the soil/bedrock contact indicating saturated or near 
saturated conditions (see Figure 6-6A). 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. 
The evapotranspiration coefficients given in DTN: GS000300001221.009 are assumed to be 
representative of conditions at Yucca Mountain. The values used for the a and b coefficients in 
Equation 12 in Section 6.4.6 are based on measurements at other locations and are commonly 
used and regarded as appropriate within the scientific community (Priestly and Taylor, 1972 and 
Flint and Childs, 1991). These assumed coefficients are used in Sections 6.3.4, 6.4.4 and 6.4.6. 
The stream-flow routing algorithm is not an approximate solution to the governing partial 
differential equations of surface water flow (various forms of the St. Venant equations). 
Kinematic and inertia effects, flood waves and backwater effects are not being modeled. 
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 runoff water volume and it is assumed that 
this can be adequately modeled based on elevation alone. 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. 
It is assumed that changes in liquid properties, such as viscosity and density, on the saturated 
field-scale hydraulic conductivity of soil and bedrock are 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. 
While there is evidence that there is negligible downward flow occurring during long time-
periods of no precipitation, it is included as an assumption. Very small changes in volumetric 
water content cannot be measured using neutron logging, which assumes that changes less than 
0.006 m3/m3 are within the error of the measurement. Drainage under a unit gradient during time 
periods when soil water content is below field capacity can be calculated and an example is 
included in Section 6.1.5. 
Model uncertainty is being addressed through parameter input distributions that are being 
developed as a part of the net infiltration model uncertainty analysis (CRWMS M&O 2000b). 
Input distributions are developed for 12 selected parameters (estimated a-priori as being 

potentially significant, see Section 6.10.2) from those included in the model control file. The 
parameters included in the model control file are discussed in Section 6.3.3. The developed 
distributions are based on assumptions of upper and lower bounds for each of the selected 
parameters. Additionally, the distribution type for each selected parameter is assumed. 
CRWMS M&O (2000b) should be consulted for complete documentation of the assumptions and 
their bases. 
6. 6.ANALYSIS/MODELANALYSIS/MODEL: CONCEPTUAL MODEL OF INFILTRATION AND MODEL: CONCEPTUAL MODEL OF INFILTRATION AND MODELDEVELOPMENT, CALIBRATION, AND APPLICATION 
The conceptual and numerical models of net infiltration for Yucca Mountain were developed by 
Flint et al. (1996) and described and simulated the natural hydrologic system. The models were 
based on thorough analysis of extensive field data collected during 1984 through 1995. The 
current (1999) model development 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 current (1999) 
model uses updated model inputs for bedrock geology and soil depth. 
The net-infiltration modeling process requires a combination of applications using Geographic 
Information System (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 are used for pre-processing model input, the 
implementation of process modeling for simulating net infiltration, and for post-processing of 
model results, which includes 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 multi-year period. The daily net-infiltration rates are averaged over the duration 
of the simulation for each model node2 to obtain spatially distributed, time-averaged net-
infiltration rates. 
The net infiltration model and analysis documented in this AMR are concerned specifically with 
estimating the spatial distribution of net infiltration in the vicinity of the potential Yucca 
Mountain repository under present-day and projected future climatic conditions. In accordance 
with the screening criteria listed in Attachment 6 of AP-3.15Q, Managing Technical Product 
Inputs, the net infiltration model and analysis are of Level 2 importance in addressing the factors 
of the post-closure safety case for the potential repository in the unsaturated zone at Yucca 
Mountain. The net infiltration model is founded on the application of standard distributed-
parameter water-balance methods to estimate net infiltration as discussed, for example, in Hatton 
(1998), and yields net infiltration estimates that, as discussed in this section, 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 and analysis 
documented in this AMR are deemed to be appropriate for providing estimates of net infiltration 
2 In this report, 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. 

that serve as input to and the upper boundary condition for the site-scale UZ flow and transport 
model. 
6.1 CONCEPTUAL MODEL OF INFILTRATION 
The following sections 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 Flint et al. (1996, pp. 8-26). 
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 unsaturated zone. 
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, as the most significant 
environmental factor controlling net infiltration at Yucca Mountain. Precipitation averages 170 
mm/yr over the study area but is temporally and spatially variable (Hevesi et al., 1992). On an 
annual basis effective precipitation is low because potential evapotranspiration 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 infiltration3 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 (see Figure 6-6A), fracture flow is 
initiated in the bedrock (as evidenced by changes in water content profiles), increasing the 
hydraulic conductivity by several orders of magnitude. Soils exceeding 6 meters in thickness 
eliminate the infiltration of water to the soil/bedrock contact except in channels (Flint and Flint, 
1995). 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 
meters deep do not have enough storage capacity to store the volume of precipitation, and often 
3 The penetration depth of infiltration is identified by the maximum depth at which a wetting front is observed based 
on geophysical logs. 

allow near-ponding conditions to occur at the soil/bedrock contact, particularly when the soil 
depth is less than 0.5 meters. 
The third 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 (PTn) hydrogeologic unit are the principal rock types present in 
surface exposures or directly under soils. The saturated hydraulic conductivity of the nonwelded 
PTn matrix is higher than the TCw matrix (Flint, 1998, Table 7). The fractures in the welded 
tuff increase the saturated hydraulic conductivity of those rocks but due to channeling and the 
presence of inactive as well as active fractures (Liu et al., 1998), the unsaturated bulk 
conductivity is generally not more than that of the matrix of the nonwelded tuffs. 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, Kwickis et al. (1998, 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 of unfilled 
fractures (Kwicklis et al., 1998) are larger than the overlying soils (see Attachment IV, Table IV4), 
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). 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 sideslopes and alluvial terraces. The 
ridgetops 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) Sideslopes 
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 runoff. 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 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 one to two meters before it is removed 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 runoff 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; all figures 
referenced in Section 6 are included in Attachment II, Figures). The hydrologic cycle is a basic 
conceptual tool used to visualize and define the various components of the field-scale water 
balance (Maidment, 1993, Figure 1.2.1, p. 1.4; Freeze and Cherry, 1979, Figure 1.1, p. 3). The 
hypothetical starting point of the hydrologic cycle is precipitation, which for current (modern) 
climate at Yucca Mountain occurs primarily as rain but can also occur as snow. Precipitation can 
accumulate on the ground surface,4 infiltrate the soil or exposed bedrock5 surfaces, contribute to 
runoff, 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 runoff. 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.6 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. Estimates of saturated hydraulic conductivity were calculated using 
these measured values of fracture conductivity for 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. This was added to the saturated hydraulic conductivity of the rock matrix and weighted 
averages of bulk saturated hydraulic conductivity of bedrock, on the basis of percentages of 
matrix and fractures, were calculated by lithostratigraphic unit (see Attachment IV, Part 2). 
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 
storage capacity of the overlying soil. When the total storage capacity is exceeded, runoff is 
generated. While runoff can occur while the subsurface is still unsaturated due to precipitation 
exceeding the saturated hydraulic conductivity of the soil, this is on a small scale, and irrelevant 
to modeling of 30m x 30m grid blocks. 
4Some precipitation can also be intercepted and temporarily stored by vegetation surfaces, but this component of the 
hydrologic cycle is negligible at the study site. 
5In this report, bedrock is used as a general term referring to all consolidated rock material that is either exposed 
(outcropping) or overlain by unconsolidated soil material. 
6In this report, runoff 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. 

Figure 6-1. Field-scale water balance and processes controlling net infiltration. 
(Attachment II) 
In the Yucca Mountain area, the hydrologic cycle can be limited to atmospheric, surface, and 
shallow sub-surface processes because contributions from ground water discharge and the deep 
unsaturated zone are insignificant relative to the other components of the cycle7 (there is no 
perennial stream flow at the site). 
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, 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 sub-surface soils and fractured bedrock. 
Evapotranspiration is a function of the potential evapotranspiration 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 
are potential evapotranspiration, 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 potential evapotranspiration 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 approximately depths of only 10 to 30 cm, and the density and growth of 
roots within the root zone in general is typically observed to decrease with depth. The estimate 
of the depth of bare-soil evaporation is based on field measurements of water potential with 
depth, and above about 20-30 cm the water potential values are too dry (see Figure 6-6A) for 
extraction by plant roots. 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. At depths greater than the root zone vapor 
flow and matric suction potentials can result in upward unsaturated flow or exfiltration back into 
the root zone; but total water losses from these processes are considered negligible relative to 
evapotranspiration within the relatively thin root zone. 
The potential evapotranspiration 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; Priestley and Taylor, 
1972; Flint and Childs, 1991). Net radiation depends primarily on solar radiation and surface 
characteristics including topography and albedo. For the current climate at Yucca Mountain, the 
average annual potential evapotranspiration rate is approximately six times greater than the 
average annual precipitation rate (Hevesi et al., 1994b, p. 2326); 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 potential 
7 Vapor flow enhanced by barometric pumping and temperature gradients also contributes to the water balance at the 
site but has been shown to be insignificant relative to precipitation, evapotranspiration, runoff, and net infiltration. 

evapotranspiration rate, especially during the winter when the potential evapotranspiration rate is 
at a minimum. 
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; Flint and Flint, 1995; Hevesi et al., 1994a). 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 (see Section 6.1.2). Assuming that active roots can extend into bedrock along open or 
partially filled fractures, a maximum effective rooting depth of approximately two meters is 
estimated 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 estimated to be approximately 6 
meters (Flint et al., 1996; Flint and Flint, 1995). 
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 potential 
evapotranspiration is at a minimum due to shorter days, lower sun angle, and 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, p. 150). Field capacity is an old soil physics concept 
intended 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 practical value (Jury et al., 1991, p. 150). In 
skeletal soils found in southwestern Oregon, the water content at a measured mean value of -0.07 
bars for field capacity was obtained (Flint and Childs, 1984). Flint and Childs (1984) 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. This publication and other large scale studies conducted in major metropolitan water 
districts in southern California and regional watershed studies in Japan, provide support for the 
use of the field capacity concept in the gravelly sandy soils located at Yucca Mountain. For 
thick soils, reaching or exceeding field capacity at a depth of 6 meters tends to occur only for 
locations subject to concentrated surface-water flow, such as active stream channels and the base 
of steep sideslopes. 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. Thus, 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 water 
potential that corresponds to the volumetric water content measured at field capacity is 

considered to be 0.1 bars and is shown for the soils used for modeling infiltration at Yucca 
Mountain in Attachment IV, Geospatial Input for INFIL V2.0 FY99. 
Two exercises are conducted to illustrate the negligible value of drainage at water contents below 
the field capacity value of 0.1 bars. Using values of soil properties listed in Attachment IV, 
Table IV-4, unsaturated hydraulic conductivity was calculated for soils with average water 
potentials at 0.025 bars, 0.1 bars (field capacity), and -0.5 bars. At 0.025 bars the unsaturated 
hydraulic conductivity is reduced about 2 orders of magnitude below that of the saturated 
hydraulic conductivity, with a value of 10.7 mm/day. At field capacity the rate drops to 4 orders 
of magnitude, with an unsaturated hydraulic conductivity of 0.25 mm/day. Once below field 
capacity, at 0.5 bars, the rate drops to 6 orders of magnitude, which is 0.003 mm/day. As the 
evapotranspiration rate at about 0.2 bars is approximately 2-3 mm/day, the soil dries quickly to 
very low drainage rates. 
A calculation of drainage for measured soil water contents was done for a borehole located in an 
active channel, illustrating relatively wet conditions. For borehole N1, located in Pagany Wash 
where the channel is about 3 m in cross-section, and the soil is 8.3 m deep, drainage from the soil 
was calculated as the unsaturated hydraulic conductivity at an average volumetric water content 
from below an estimated zone of evapotranspiration, 3 m, to the bottom of the alluvium. For 
monthly measurements made for the period of 1984 through 1995, the drainage was calculated to 
be 0.5 mm/yr in this active channel with periodic runoff. Flux was calculated as described in 
Section 6.3.4 for this borehole, using the average water content for 2 m of soil below 6 m in 
depth. Increases in average water content between monthly measurements were summed for 
values that were greater than the measurement error of 0.006 m3/m3. The total flux calculated for 
the 10 year period was 83.5 mm/yr (when distributed over a 30 m grid cell, this equates to about 
10 mm/yr.). The drainage due to gravity from the soil for this borehole was 0.6% of the total flux 
calculated for the borehole. Boreholes located in topographic locations where runoff is unlikely, 
such as terraces, have soils that are generally much drier, potentially reducing the drainage by 
several orders of magnitude below that calculated for this borehole. As the net infiltration flux 
calculated in these locations are also much lower, the contribution of drainage to the total flux in 
the borehole would be higher, but the drainage, even at somewhat moist ranges of between 1 
bar and 5 bars, the drainage ranges from 0.2 mm/yr to 0.001 mm/yr. 
In general, the volume of net infiltration occurring at Yucca Mountain under conditions of 
unsaturated ground-water 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 (see Figure 6-5) (Flint et al., 1996; Flint and 
Flint, 1995; Hevesi et al., 1994b; Nichols, 1987). 
6.2 NUMERICAL REPRESENTATION OF THE CONCEPTUAL MODEL 
The numerical model is a digital representation of the mathematical concepts that describe the 
conceptual model of net infiltration described in Section 6.1. In most cases, an exact 
mathematical formulation of the physical processes being modeled is not required and in many 
cases is not possible. An application of approximate mathematical formulations is an essential 
requirement for computational efficiency and practical applicability of the numerical model. The 

level of accuracy needed for an approximate representation depends on the sensitivity of the UZ 
flow and transport models to net infiltration, in conjunction with the level of accuracy needed for 
results obtained with the models to evaluate potential repository performance (CRWMS M&O, 
2000a). 
6.2.1 Accuracy and Precision of Model Calculations 
The simulation of net infiltration primarily involves a water-balance calculation and the 
application of the conservation of mass principle. All water-balance calculations are performed 
as water-depth balances (which are easily converted to volume balances8), and thus an 
assumption is 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 are 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 post-processing 
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 
The accuracy of all model inputs could not be fully quantified at the time of this activity. 
Uncertainty in model inputs was not incorporated into the results developed in this 
analysis/model report. A preliminary uncertainty analysis is provided by CRWMS M&O 
(2000b), and will be used in the UZ Flow and Transport Process Model Report (CRWMS M&O 
2000a) to provide a limited evaluation of model accuracy and uncertainty based on estimated 
bounds and distributions for a few selected input parameters. The development of input 
distributions for the selected parameters is discussed in Section 6.10.2. 
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 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 is calculated using the 30m x 30m 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 root8 
Model calculations are performed as water-depth balances, and are converted to volume balances based on model 
grid cell area, which is 900 square meters for all model grid cells. 

zone and net infiltration through the root-zone is 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 are calculated as 1-dimensional vertical storage depths, which can easily be 
converted to volumes based on grid cell areas. The components of the root-zone water balance 
are 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 is set to zero and water loss due to 
evapotranspiration from that layer is modeled as an empirical function of relative saturation 
(with relative saturation based on porosity and the residual water content) and potential 
evapotranspiration (Flint and Childs, 1991). For water contents greater than the water content at 
field capacity, water losses due to both infiltration and evapotranspiration from the layer are 
calculated. Infiltration into the underlying layer is 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 is set equal to the amount of available water in the layer. 
For the lowermost root-zone layer in thick (6 meters 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 is 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 is 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 are added (as water depth) 
to the top layer of the root-zone profile at each grid cell. The surface water run-on depth is 
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) occurs at that grid cell location and is routed to the downstream grid 
cell. Surface-water flow depths are routed as part of an instantaneous flow routing algorithm 
representing a daily water balance. All overland flow is 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 are calculated using grid cell areas and 
converted to standard stream discharge units (cubic-feet-per-second) for comparison with 
measured stream flow records. 
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 millimeters/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 is 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 is maintained only as long as the field capacity of the 
bottom soil layer (the soil layer above the bedrock layer) is exceeded. Thus, for upland areas 
with shallow soils, net infiltration is 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 meters) 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, it is assumed that water 
ponded at the soil/bedrock interface and 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 are simulated for all root zone 
layers having a water content greater than residual prior to the calculation of net infiltration. 
During winter when potential evapotranspiration 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 is 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 is applied over a continuous multi-year period and is driven by 
the continuous daily climate input provided for the total simulation period. The daily net 
infiltration rates calculated for each grid cell location are used to calculate an average annual net 
infiltration rate for each grid cell based on the total simulation period. The average annual net 
infiltration rate is calculated in units of length per time (millimeters per year), and can be directly 
applied as a specified flux upper boundary condition for the UZ flow and transport model. 
Figure 6-2. The daily root-zone water-balance used to model net infiltration. 
(Attachment II) 
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 Geographic Information Systems (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 are 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 are developed using a series of 
FORTRAN routines that are applied sequentially. The routines are 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 DEM (DTN: GS000308311221.006) selected for defining the grid geometry is the 
composite DEM used for the original net infiltration model (Flint et al., 1996) 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) were combined into a composite 

DEM (DTN: GS000308311221.006) by using the ARCINFO, ARC-EDIT, ARC-PLOT, and 
ARC-GRID modules, utilizing a series of standard commands within the various modules. The 
grid geometry of the composite DEM (DTN: GS000308311221.006) is based on the Universal 
Transverse Mercator (UTM) projection (zone 11, NAD27) 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 potential repository site, with the following corner coordinates: 
Northwest corner: 544,661 meters easting, 4,087,833 meters northing 
Northeast corner: 555,641 meters easting, 4,087,833 meters northing 
Southeast corner: 555,641 meters easting, 4,067,133 meters northing 
Southwest corner: 544,661 meters easting, 4,067,133 meters northing 
The elevation provided by the composite DEM (253,597 values) is the primary geospatial 
parameter used by the net infiltration model. Elevation is used to define the surface-water flow-
routing network, which is in turn used to define watershed-modeling domains which are 
extracted from the base grid and modeled separately as closed hydrologic systems. Elevation is 
used to define slope, aspect, and blocking ridge parameters for modeling incoming solar 
radiation that is in turn used in an energy balance calculation for modeling potential 
evapotranspiration. The calculated slope is 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 are 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 is also 
defined prior to model application. 
Following the development of the base grid, the following 11 steps summarize the net-infiltration 
modeling procedure used for this analysis: 
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 digital elevation model (DEM) for Yucca Mountain. Conversion of grid cell 
coordinates to both 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. 

4. 
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. 
5. 
Identification of watershed outflow locations using TRANSFORM9 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. 
6. 
Development of a daily climate input file (mod3-ppt.dat) for model calibration and modern 
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. 
7. 
Estimation of pre-calibration model coefficients and initial conditions for root-zone water 
contents. 
8. 
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 streamflow records. 
9. 
Development of 100-year daily climate input files for modern climate scenarios using 
available precipitation records from the Nevada Test Site stations 4JA and Area 12 Mesa and 
the programs MARKOV V1.0 (STN 10142-1.0-00) and PPTSIM V1.0. (STN 10143-1.0-00) 
Development of daily climate input for future climate scenarios using the routine 
DAILY09 V1.0 and seven selected analog records from the EARTHINFO10database. 
10. 
Application of INFIL V2.0 (STN 10307-2.0-00) 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. 
11. 
Development of net-infiltration estimates for nine separate climate scenarios 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 potential repository 
boundary and the UZ flow and transport-modeling domain using SURFER11 V6.04 and the 
routine MAPSUM01 V1.0. Development of model results as GIS coverages using 
ARCVIEW12 V3.1, TRANSFORM V3.3, and SURFER V6.04 
Figure 6-3 provides a generalized illustration of the various model components required for 
simulating spatially distributed net-infiltration rates. 
Figure 6-3. Major components of the net-infiltration modeling process. (Attachment II) 
9 TRANSFORM is a registered trademark of Fortner Software LLC, 100 Carpenter Dr, Sterling, VA 20164. 
10 
EARTHINFO is a registered trademark of EarthInfo Inc., 5541 Central Avenue, Boulder, CO 80301. 
11 
SURFER is a registered trademark of Golden Software, Inc, 809 14th Street, Golden, CO 80401-1866 
12 
ARCVIEW is a registered trademark of ESRI, 210 Business Center Court, Redlands, CA 92373 

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 6.2 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 AP-SI.1Q, 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 separate ASCII 
files: 
1. 
Model control file: specifies input and output options, input and output file names, modeling 
options, simulation period, model coefficients, and hydrologic properties. 
2. 
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). 
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. 
As will be documented subsequently in this AMR, the infiltration model will be applied over the 
domain of the site-scale UZ flow and transport model (CRWMS M&O, 2000a). 
6.3.4 Assumptions Concerning Model Calibration 
Data used for model calibration are listed in Table 4-1 and in the attachments and are described 
in detail in Flint et al. (1996) 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. It is assumed that the 1996 infiltration model that was 
calibrated using these data is 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 calibration of the 1996 model is described in Section 6.8.3. The 1999 model calibration uses 
stream flow measurements from USGS gaging stations for 1994 and 1995 (DTN: 
GS941208312121.001, GS960908312121.001). 
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; Flint and Flint, 1995; Hevesi et al., 1994b). 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 water-content profile measured at borehole UZ-N15 (Flint et al., 1996, Figure 32; 
DTN: GS940708312212.011, GS941208312212.017, GS950808312212.001, 
GS960108312212.001) 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 6-4). The UZ-N15 site is at a ridgetop 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 6-4 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, which 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, Figure 35; DTN: GS960908312211.004). 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 
sites (DTN: GS960508312212.008) using the measured water-content changes indicate the 
occurrence of significant net infiltration at Yucca Mountain during 198995 (Figure 6-5) and a 
strong negative correlation between soil depth (DTN: GS960508312212.007) and net-infiltration 
rates (Flint and Flint, 1995). 
Figure 6-4. Measured water-content profiles at borehole UZN-15 for 1993-95. 
(Attachment II) 
Figure 6-5. Estimates of average net-infiltration rates at Y ucca 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. 
(Attachment II) 
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. An independent estimate of net infiltration was developed using 1 year of water-
potential measurements from heat-dissipation probes near borehole USW UZ-N15 (Figure 66A). 
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 2 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. 
The moisture-retention curve for this location (Attachment IV, Geospatial Input Data for 
INFIL V2.0 FY99) was used to convert water potential to water content (Figure 6-6B). 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 potential evapotranspiration calculations using the Priestley-Taylor equation 
(Priestley and Taylor, 1972), 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) was 110 mm for 
the same time period. 
Figure 6-6. Graphs of water-potential measurements near borehole USW UZ-N15 using 
heat dissipation probes (DTN: GS960908312211.004), (A) measured at four depths for 
1995 and (B) used to calculate flux. (Attachment II) 
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., 1994b). 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) were based primarily on the calculated 
changes in the measured profiles (Flint et al., 1996, Figure 41; also discussed in Section 6.8.3). 
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 (DTN: GS941208312121.001, 
GS960908312121.001). A description of the model calibration procedure and the results of 
model calibration are 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 estimated to be 
less than 2 meters. Because of expected capillary barrier effects at the soil bedrock interface, it is 
assumed that fracture flow is 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 
it is assumed that fracture flow is 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. 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; Winograd, 1981; Lichty and McKinley, 1995; Harrill and Prudic, 1998; Dettinger, 1989). 
Although this method of model comparison is useful as a qualitative assessment of model results, 
it cannot be used to quantify levels of confidence or 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. 
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 6-7 
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 meters).] 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 potential evapotranspiration based on the simulation of incoming solar radiation and 
effects on total solar radiation due to blocking ridges using the SOLRAD sub-model in INFIL 
V2.0 and the routine BLOCKR7 (Flint et al., 1996; Flint and Childs, 1987). 
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 (cfs),13 which can be compared to measured stream flow for model calibration. 
Figure 6-7. Flow chart of the model algorithm used for simulating net infiltration. 
(Attachment II) 
13 Cubic feet per second is a standard unit used for volume discharge rates in surface water hydrology 

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 and Energy 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. 1) 
where I = net infiltration, P = precipitation (rain and snow), SF = snowfall, SB = sublimation, 
SM = snowmelt, SW = change in water-content storage within the root zone, ET = 
evapotranspiration, IRon = infiltrated surface-water run-on, and Roff = surface-water runoff 
generated by excess precipitation, snowmelt, or run-on. It is important to 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 potential net-
infiltration term and is limited by the field-scale-saturated hydraulic conductivity of the soil or 
bedrock underlying the root zone. 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 this is the zone in which the 
transpiration part of evapotranspiration processes take place. 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. 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 root-zone layer. Surface-water run-on exceeding the saturated 
hydraulic conductivity of the top root-zone layer is added to the runoff term routed to the 
downstream grid cell. 
As noted in Figure 6-2, infiltration is represented as equal to recharge. This is not entirely the 
case because in a deep unsaturated zone there are several mechanisms that may remove a small 
amount of water and the timing of recharge is not accounted for. At Yucca Mountain there are 
unsaturated zone groundwater ages of over 7,000 years. 
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. 
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, but 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): 
T = T1-T2 {Sin[(D/366)*2*p + 1.3]} (Eq. 2) 
where T = modeled daily air temperature, D = day of year number, T1 = mean annual air 
temperature, and T2 = 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 11.74 degrees Celsius, respectively, using measured air 
temperature data from Yucca Mountain (DTN: GS000208312111.002). 
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 meters, which represents the approximate 

average elevation of the land surface above the potential 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; Hevesi et al., 1992; Hevesi and Flint, 1998). The precipitation/elevation 
correlation model used in INFIL V2.0 for modern climate was from Hevesi and Flint (1998, 
Table 4, DTN: GS960108312111.001) for the sample of 114 precipitation stations with a 
minimum of 8 years of record, where the coefficients in the table are based on mean annual 
precipitation transformed as ln(MAP) x 1,000. The model estimated mean annual precipitation 
distributions using the relation: 
Pdk = Pd * exp(0.0006458*E + 4.317)/MAP (Eq. 3) 
where Pdk = the elevation-corrected daily precipitation estimate (in millimeters) for day d at 
model element k, Pd = the point precipitation estimated for day d provided by the daily climate 
input file, E = elevation (in meters), and MAP = mean annual precipitation (in millimeters). For 
the monsoon and glacial transition climate scenarios, the slope defined by Equation 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), 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 
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 9.8 degrees C per 
kilometer and was cited for this work using Maidment (1993, p. 2.27): 
Tdk 
= 0.0098 * (1400.-Ek) + Td (Eq. 4) 
where Tdk 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 2). 
The elevation E is subtracted from the estimated mean elevation for the potential repository area 
that is indicated in the equation as 1,400 m. This is the approximate average ground surface 
elevation of the potential repository. 
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 potential evapotranspiration rate is reduced according to: 
APETd = PETd/[(4*Pd/25.4) + 1] (Eq. 5) 
where APET = adjusted potential evapotranspiration for day d (in millimeters), PETd = the 
Priestley-Taylor modeled clear-sky potential evapotranspiration for day d (PET is discussed 
further in Section 6.4.4), and Pd = 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. The assumption is that 

the energy for ET is reduced in the presence of clouds (associated with precipitation) and the 
more rain there is, the less ET there is. The model is fairly insensitive to this value. 
6.4.3 Snow Pack Sub-Model 
Precipitation is simulated as snowfall for a grid cell location if the average air temperature is less 
than or equal to 0 degrees Celsius. 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 0 degrees Celsius, 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 sublimation model that also includes evaporation of snowmelt and sublimation (but 
not saltation and suspension) when the air temperature exceeds 0 degrees Celsius: 
SBk = A1 * APETk, Tk <= 0 (sublimation/advective losses) (Eq. 6) 
SBk = A2 * APETk, Tk > 0 (evaporation of snowmelt and sublimation) 
where SBk = total snow pack losses to the atmosphere (in millimeters), APETk is the cloud cover 
adjusted Priestley-Taylor potential evapotranspiration rate14, (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, pp. 7.4-7.10). For all 
simulations using the snow pack sub-model, 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 0 degrees Celsius, 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 potential transpiration 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 0 degrees. For all days when air temperature is 0 degrees or less, 
transpiration is set to zero, and only sublimation can occur, provided a snow pack exists. 
If air temperature is greater than 0 degrees Celsius, snowmelt is simulated as an empirical linear 
function of average daily air temperature (Maidment, 1993, pp. 7.4-7.10) using a standard 
temperature index modeling approach: 
SMk = A * Tk (Eq. 7) 
14 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 and is not necessarily equivalentto the values of the coefficient used in the root-zone model. 

where SM is the modeled snowmelt (in millimeters) for grid cell k; T is the modeled average 
daily air temperature (degrees Celsius) 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, 
Table 7.3.7, p. 7.24) The simulated snowmelt is carried back into the root-zone water-balance 
calculation as an influx term. 
6.4.4 Potential Evapotranspiration and the Net Radiation Sub-Model 
Total daily potential evapotranspiration is modeled for each grid cell using the Priestley-Taylor 
equation (Priestley and Taylor, 1972): 
PETdk = a * [s/(s + g)dk * (RNdk  GHdk) / 2.45*106] (Eq. 8) 
where PETdk is potential evapotranspiration (in millimeters) on day d for grid cell k; s is the 
slope of the saturation vapor pressure-temperature curve; g is the psychometric constant; RN is 
modeled net radiation; and GH is estimated ground-heat flux, which is modeled using Equation 
22 from Flint et al. (1996): 
GH = -20 + 0.386(RN) (Eq. 9) 
and 2.45*106 converts the energy units to millimeters of water. In Equation 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; Flint and Childs, 1991; DTN: GS000300001221.009). 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). In the root-zone water-balance sub-model, 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+g) term is modeled as a function of average daily air temperature by using Equation 19 
from Flint and et al. (1996): 
s/(s+g)dk = -13.281 + 0.083864 * TAdk - 0.00012375 * (TAdk) 2 (Eq. 10) 
where TAk is the average daily air temperature on day d for grid cell k, in Kelvins. Equation 10 
was defined using parameter values obtained from performing a regression on data from 
Campbell (1977, Table A.3), and provides an indication of the relative effect of air temperature 
on potential evapotranspiration, which varies for different temperature ranges. In Figure 6-8, 
Equation 10 is compared with selected values taken from (Campbell, 1977, Table A.3) to 
illustrate the greater relative change in the s/(s+g) term for the lower air temperatures in the range 
5 to 5 degrees Celsius as compared to temperatures in the range of 25 to 35 degrees Celsius. For 
example, a decrease in air temperature from 5 to 0 degrees Celsius results in a 17 percent 
reduction in s/(s+g) and thus potential evapotranspiration, while a decrease in air temperature 
from 35 to 30 degrees Celsius causes only a 5 percent reduction in the s/(s+g) term. 
Figure 6-8. Relative effect of air temperature change on the modeled s/(s+g) term of the 
Priestley-Taylor equation used for estimating potential evapotranspiration. (Attachment II) 

Total daily net radiation is the primary component of the energy balance determining potential 
evapotranspiration and is modeled using Equation 21 from Flint et al. (1996): 
RNdk = -71 + 0.72 * Kdkfl (Eq. 11) 
where RN is total net radiation, in w/m2, on day d for model element k, and Kfl is simulated 
incoming solar radiation which is modeled using a version of the SOLRAD, sub-model in INFIL 
V2.0, program developed by Flint and Childs (1987). To account for seasonal changes in the 
solar trajectory as well as terrain effects across model elements, SOLRAD, sub-model in INFIL 
V2.0, calculates solar position on an hourly15 basis from sunrise to sunset as a function of the day 
of year and geographic position of each grid cell (Flint and Childs, 1987). 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 degrees in the horizontal plane, starting with the 
UTM northing axis as the 0-degree azimuth. Shading causes a reduction in direct beam radiation, 
and diminished skyview decreases diffuse radiation. These effects can become important in 
rugged mountainous terrain. 
6.4.5 Root-Zone Sub-Model: Infiltration, Percolation, and Redistribution 
Water infiltrating and percolating (see Section 6.1.1 for definitions) through the multi-layered 
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 (in the case of the model used in this 
analysis/modeling activity, 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 net-infiltration volume. 
15 
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. 

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 meters or greater, the underlying 
bedrock properties are defined using alluvium/colluvium properties. Based on analysis of 
neutron moisture meter data (Flint and Flint, 1995), the maximum depth of infiltration in non-
channel alluvial locations is 6 meters, therefore there is no need 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. 
6.4.6 Root-Zone Sub-Model: 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 0 degrees 
Celsius. 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 top soil 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 developed by Flint and 
Childs (1991, coefficients in DTN: GS000300001221.009) to each layer of the root zone: 
ETk = a * PETk (Eq. 12) 
a = .i{wgti * [ak (1-exp(bk*relsatik))]} 
where ETk is total root-zone evapotranspiration for grid cell k; PETk is the adjusted clear-sky
k
simulated equilibrium16 potential evapotranspiration rate for grid cell k; relsati is the relative 
saturation calculated for layer i within grid cell k; ak and bk are the Priestley-Taylor model 
16 The equilibrium potential evapotranspiration rate is calculated using a = 1.0, and is used to represent the non-
advective component of the energy balance. 

coefficients for grid cell k supplied as soil- and rock-type input parameters in the model control 
file (in this analysis, 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 updated 
for the following days water-balance calculation. 
6.4.7 Surface-Water Flow-Routing Sub-Model 
At the completion of the root-zone water balance loop, the surface-water flow sub-model is 
called if the runoff accumulation term is greater than zero (at least one grid cell has generated 
runoff). The sub-model 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. There is no need to 
predict a flood wave, peak flows, or backwater effects, and thus a finite difference approximation 
of the St. Venant equations is 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; Flint et al., 1996, Figure 23; 
DTN: GS960908312121.001). 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 potential repository, and are not significant within most areas of the UZ flow and 
transport 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 sub-model repeats the infiltration and percolation simulation performed in the water-
balance loop, providing a 2-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. The scaling is performed by using an estimate of the average 

fraction of the total grid cell area wetting by surface water flow. For example, if the scaling 
factor is 0.1, only 10 percent of the 30m x 30m area of the grid cell is wetted, on average, by 
surface water. Thus the effective saturated hydraulic conductivity used to limit the volume of 
water infiltrating into the grid cell is multiplied by 0.1 to account for the reduction in area. 
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. 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: 
k
D = .Roff 
k  .IRon = .Pk + .SMk  .SBk  .SWk  .ETk  .Ik (Eq. 13) 
where D is the watershed outflow, P is defined for this equation as rainfall, and the water balance 
terms defined in Equation 1 are summed for all grid cells k in the watershed. Equation 13 is 
calculated for each day of the simulation as means of verifying the mass balance over the 
modeling domain. 
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 are combined 
into a single ASCII file defining the base-grid for all extracted watershed model grids (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, 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 digital elevation model (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 original net infiltration model (Flint et al., 1996) 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) 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 decimal-degrees 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) 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 potential repository site, with the following corner 
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 Geographic 
Information Systems (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). 
Figure 6-9 is a shaded relief representation of the Yucca Mountain DEM and includes the 
location of the 1999 UZ flow model boundary, the 1999 design potential 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 (see Attachment IV). Figure 6-9 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 meters, a minimum elevation of 918 meters along the 
southern perimeter, and a maximum elevation of 1,969 meters along the northern perimeter. 
Figure 6-9. Yucca Mountain DEM used to define geospatial-input parameters and 
watershed modeling domains. (Attachment II) 
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 
coordinates: 
Northwest corner: 544,661 meters easting, 4,087,833 meters northing 
Northeast corner: 555,641 meters easting, 4,087,833 meters northing 
Southeast corner: 555,641 meters easting, 4,067,133 meters northing 
Southwest corner: 544,661 meters easting, 4,067,133 meters northing 

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 
6-10). 
Figure 6-10. Number of upstream cells indicating the numerical channel network. 
(Attachment II) 
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. 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 and transport 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 TRANSFORM for a 
visual analysis of the flow accumulation map (Figure 6-11). 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 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 represent 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 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 and transport 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 irrelevant given that the active channel network is likely 
to change significantly over a 10,000-year period, particularly if wetter climates develop. 
Figure 6-11. Isolation of the drainage networks overlying the area of the UZ flow and 
transport model. (Attachment II) 
The main watersheds included in the composite watershed model area are Yucca Wash, Drill 
Hole Wash, Dune Wash, Solitario Canyon #1, and Plug Hill17 (Figure 6-12). 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 and transport 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 and 
transport model area. 
Figure 6-12. Location of 10 watershed model domains included in the composite 
watershed model area overlying the area of the UZ flow and transport model. 
(Attachment II) 
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. 
17The 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. 

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, sub-model in INFIL V2.0, routine in the potential evapotranspiration sub-model. 
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) using standard GIS applications in ARCINFO V6.1.2. 
The 36 blocking ridge angles (degrees of inclination above horizontal) are calculated at each 10degree 
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-degree 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. 
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, Figure 13; DTN: GS960508312212.007). 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, 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 meters 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 meters. Depth class #4 identifies soils 
with depths of 6 meters or greater. The soil-depth classes were used to estimate soil depths based 
on calculated slope and an empirical soil-depth model described in Attachment IV. 
6.6.3 Soil Types 
A soil-type classification map is defined in Flint et al. (1996; Figure 14, DTN: 
GS960508312212.007). The soil-type classification is based on a recombination of mapped 
Quaternary surficial deposits and defines 10 unique soil types based primarily on differences in 
soil texture (Figure 6-13). Soil texture and porosity data were obtained using field samples and 
laboratory measurements (DTN: GS950708312211.002) as described in Flint et al. (1996; 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 in Flint et al. 
(1996, p. 41) and Attachment IV. 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, and are the same as the properties used in the 1996 
version of the net-infiltration model (INFIL V1.0) which are listed in Flint et al. (1996, Table 4, 
p. 42) and Attachment IV.

Figure 6-13. Recombined soil classes used in the 1996 net-infiltration model. 
(Attachment II) 
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 6-14 indicates the 
areal coverage of the three maps: the 1:6,000-scale Bedrock Geologic Map of the central block 
area by Day et al. (1998, DTN: GS971208314221.003), the Preliminary Geologic Map of Yucca 
Mountain by Scott and Bonk (1984, DTN: MO0003COV00095.000), and the Geologic Map of 
the Topopah Spring Northwest Quadrangle by Sawyer et al. (1995, DTN: 
GS000300001221.010). Within the UZ flow and transport 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). Bedrock geology for 
the northern and southern perimeter sections of the UZ flow and transport model area is defined 
by Scott and Bonk (1984). 
Figure 6-14. Overlay of the three geologic maps used to define rock types underlying the 
root zone and included in the bottom root-zone layer. (Attachment II) 
Bedrock geology for the 1996 version of the net-infiltration model was defined by the Scott and 
Bonk (1984; DTN: MO0003COV00095.000) and the Sawyer et al. (1995, DTN: 
GS000300001221.010) map coverages (Flint et al., 1996, Figure 10). To incorporate the Day et 
al. (1998) geology for INFIL V2.0, the rasterized version of the Day et al. (1998) map coverage 
(DTN: GS971208314221.003) was integrated with the bedrock geology defined by the 1996 
version of the geospatial input file (DTN: GS000308311221.004) using the routine GEOMAP7 
V1.0. Figure 6-15 indicates that for some locations within the Day et al. (1998) geologic map 
coverage, bedrock geology for the net-infiltration model is defined by GEOMAP7 V1.0 using 
the Scott and Bonk (1984) geologic map (DTN: MO0003COV00095.000). The purpose of 
including the Scott and Bonk (1984) geology (DTN: MO0003COV00095.000) within the Day et 
al. (1998) map coverage (DTN: GS971208314221.003) is to estimate bedrock geology for some 
locations mapped by Day et al. (1998) as alluvium or colluvium and having intermediate soil 
depths less than 6 meters (as defined by the soil depth class map from Flint et al. (1996, Figure 
13; DTN: GS960508312212.007). 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 meters was considered 
problematic in terms of modeling net infiltration. Conceptually, all grid cells with a soil depth 
less than 6 meters should be underlain by a consolidated bedrock type to avoid inconsistency in 
terms of the assigned soil depth and the estimated root-zone 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 meters of soil cover. In general, the consolidated bedrock 
geology defined by Scott and Bonk (1984) extends farther into the intermediate soil-depth areas 
then the consolidated bedrock geology defined by Day et al. (1998) and thus was substituted by 
GEOMAP7 V1.0 for the colluvium or alluvium defined by Day et al. (1998) 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 meters 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 defined in Flint et al. (1996, 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 meters 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. 
Bedrock geology is represented in the geospatial-parameter-input file using a unique integer 
identifier for each rock type (see Attachment IV 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, DTN: MO0109HYMXPROP.001) and the saturated hydraulic 
conductivity of fracture-fill material (DTN: GS950708312211.003) 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) (see 
Attachment IV). 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 in Flint et al. 
(1996, Table 2), in DTN: GS000308311221.004, and in Attachment IV. Bulk saturated 
hydraulic conductivity values for the updated Day et al. (1998) geology rock types were defined 
using lithologic correlations with the Scott and Bonk (1984) geology (DTN: 
MO0003COV00095.000). In general, the number of unique bedrock units with different bulk 
hydraulic conductivity values decreased with the incorporation of the Day et al.(1998) geology. 
Figure 6-15 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. 
Figure 6-15. Estimated field-scale saturated hydraulic conductivity of bedrock or soils 
underlying the root zone. (Attachment II) 

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 (DTN: GS000308311221.004), Attachment IV, 
within the soil depth classes defined for the 1996 version of the net-infiltration model (Flint et 
al., 1996; DTN: GS960508312212.007). 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 sideslope 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. 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 
For depth class #4, soil depth is set to a uniform depth of 6 meters. 
Figure 6-16 shows the spatial distribution of estimated soil depth (DTN: GS000308311221.004) 
with relatively thin soils less than 0.2 meter deep along steep sideslopes, and thicker upland soils 
0.3 to 0.4 meter along ridge-top and shoulder areas. All locations having a soil depth of 6 meters(as indicated by the color gray in Figure 6-13) 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. 
Figure 6-16. Estimated soil depth using the 1996 soil-depth class map and calculated 
land-surface slope. (Attachment II) 
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. 17) 
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 (Eq. 16) 
D = 2.0 

RZk = SDk, [RZc - (SDk/RZd)]  0 
where RZ is the estimated root-zone depth (in meters) at grid location k; SD 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 modern 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 four meters. Using Equation 17, the root zone extends two meters into 
bedrock for locations having no soil, one meter into bedrock for locations having two meters soil 
depth, and 1.5 meters into bedrock for locations having one meter soil depth. The empirical 
model defined by Equation 17 is consistent with the estimated root-zone depth defined in Flint et 
al. (1996, 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. 
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 17 above. The thickness of each of the three soil root-zone layers is defined using: 
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 modern climate scenarios, RZa = 
0.3 and RZb = 1.5, and thus the maximum thickness of the top layer is 0.3 meter, the maximumthickness of the second layer is 1.2 meters, and the maximum thickness of the third layer is 4.5 
meters. According to this model, root zones in upland locations with thin soils less than 1.5 
meters deep consist of one or two soil layers and one bedrock layer, while alluvial fan terraces 
having 6 meters or greater soil thickness have three soil layers and no bedrock layer. 
RZ1kRZ2k 
= 
= 
SDk 
0 
SDk  RZa (Eq. 18) 
RZ3k = 0 
RZ1k = Rza RZa  SDk  RZb 

The multi-layered 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 ID 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 all simulations performed in this 
analysis/model activity, a fracture porosity of 0.02 was determined for the modern climate during 
model calibration based on comparisons of simulated versus measured stream flow. This value 
is consistent with model results from CRWMS M&O (2000a, Section 2.5.2.3). 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 6-17 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 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. 
Figure 6-17. Total water-storage capacity of the modeled root zone, including bedrock 
and soil layers. (Attachment II) 
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 in Flint et al. (1996). 
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 runoff 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, GS960908312121.001). 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, in cubic feet per second, 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 by USGS (2000b). The bounds 
assumed for the thickness of the bedrock layer included in the root-zone for upland areas is 0 to 
2m, 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. 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. 
It was observed during model calibration 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 it was assumed that an initial area was about 1 to 99 percent of the grid 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 (Attachment III, 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 
(DTN: GS000200001221.002, GS000100001221.001, GS000208312111.001, 
GS000208312111.003, GS970108312111.001, GS960908312111.004). The developed record of 
daily precipitation is only an approximate representation of actual conditions over the general 
location and ground surface elevation of the potential 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 (DTN: 
GS000208312111.001, GS000208312111.003, GS970108312111.001, GS960908312111.004). 
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) and two National Weather Service (NWS) monitoring sites located near 
Yucca Mountain (DTN: GS000100001221.001). 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 6-18 shows the temporal distribution of daily precipitation amounts for the 1980-95 
developed record. 

Table 6-1. Stations and precipitation records used to develop the 1980-95 daily climate 
input files used for model calibration and for modern climate scenarios. (Attachment I) 
Figure 6-18. Developed 198095 daily precipitation record used as input for model 
calibration. (Attachment II) 
Daily air-temperature estimates used for model calibration were simulated internally in 
INFIL V2.0 using the sine wave function defined by Equation 2 in Section 6.4.2. The function 
coefficients are based on air temperature measurements (DTN: GS000208312111.002) and are 
described in Flint et al. (1996, eq. 20), where T1 = 17.3 degrees Celsius for mean annual 
temperature and T2 = 11.41 degrees Celsius 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 6-19) (and within the area of the UZ flow and transport model) were obtained from 
stream gaging stations (DTN: GS941208312121.001, GS960908312121.001). The records 
consist of the estimated daily mean discharge, in cubic feet per second (ft3/s or cfs), for each day 
of the period covered by the record. 
Figure 6-19. Location of stream-gaging sites and calibration watersheds defined by the 
gaging sites. (Attachment II) 
6.8.3 Model Calibration Results 
The 1996 model was calibrated by comparing measured volumetric water contents using neutron 
moisture meters (DTN: GS940708312212.011, GS941208312212.017, GS950808312212.001, 
GS960108312212.001) and simulated water-content data using the 1996 version of the 
infiltration model (Flint et al., 1996) 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 ( Attachment 
III, Yucca Mountain 1980-95 Developed Daily Precipitation Record). Two examples are 
presented: borehole USW UZ-N50, with soil 2.7 meters deep (Figure 6-20A) and borehole UE25 
UZN #63, with soil 1.7 meters deep (Figure 6-20B). 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. 
Figure 6-20. Graphs of comparisons of simulated net infiltration using water content in 
neutron boreholes (A) USW UZ-N50 and (B) UE-25 UZN #63. (Attachment II) 

Using the 1996 model calibrated for evapotranspiration, it was then necessary to determine if 
simulations of net infiltration matched that calculated from the changes in water content in the 
neutron-borehole data. 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) using Equation 3. Measured average annual precipitation is 
shown as the open squares in Figure 6-21 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 6-21) 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 6-21. 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. 
Figure 6-21. Graph of average annual precipitation simulated at each borehole using 
precipitation record for 1980-95, and simulated with a 30-percent enhancement in the 
channel grid blocks only, compared to developed precipitation record distributed 
geostatistically to each borehole. (Attachment II) 
These simulated precipitation data were then used to simulate net infiltration at each borehole 
using the model (Figure 6-22). The average annual precipitation described above and estimates 
of net infiltration based on neutron-borehole water-content data (DTN: GS960508312212.008) 
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 30percent 
increase in precipitation at boreholes located in channels, provides a reasonable match to 
the calculated yearly values of flux (DTN: GS960508312212.008). Net infiltration simulated 
without the 30-percent channel enhancement factor is slightly lower (Figure 6-22). 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. 
Figure 6-22. Graph of precipitation relative to infiltration simulated for each borehole 
with no channel-enhancement factor and with 30-percent channel-enhancement factor, 
and measured mean annual infiltration for all boreholes. (Attachment II) 

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 were an acceptable overall fit 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 cfs for the five calibration watersheds 
provides a reasonable comparison with the total measured daily mean discharge of 31.20 cfs for 
the March 11,1995 stream flow event. 
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. The calibration simulations did not include a snowmelt simulation because the daily air 
temperature climate input for the 198095 calibration period was not completed at the time of 
model calibration. 
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. 
Table 6-2. Comparison of measured versus simulated daily mean discharge at stream-
gaging sites for stream flow events in 1995. (Attachment I) 
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 meters, 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 the root 
zone in bedrock x 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 
conducted. 
6.9 REPRESENTATION OF CLIMATES FOR MODEL APPLICATION 
The modern, monsoon, and glacial-transition climate stages are each represented with a drier 
lower bound, a wetter upper bound, and an intermediate mean climate scenario (DTN: 
GS000208311221.002). 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 a total of nine separate climate scenarios (three for each 
climate stage), separate INFIL V2.0 simulation results are 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 USGS (2000b). 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 
analog sites were used. Selection of the representative analog sites is defined by USGS (2000b) 
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 analog sites were identified. Individual simulations were performed 
for each analog 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 and Their Simulation with the 
Infiltration Model 
Estimates of potential future climate conditions at Yucca Mountain for the next 10,000 years 
were taken directly from USGS (2000b). 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 modern-day climate conditions from present day to approximately 600 
years into the future. The second climate stage begins at approximately 600 years from present 
day and is characterized as a monsoon climate with wetter summers relative to modern climate. 
The third climate stage begins at approximately 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 modern climate. The duration of the glacial transition climate is 
estimated to be 10,000 years, extending 2,000 years beyond the required 10,000-year estimation 
period. 
Results from USGS (2000b) include the identification of a set of appropriate current climate 
analog 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 USGS (2000b) define a lower 
and upper bound climate scenario within each climate stage. To reduce uncertainty in the 
selection of a single best analog site, the lower and upper bound climate scenarios are 
represented using a set of two or three analog sites identified by USGS (2000b). Net infiltration 
is simulated using the climate input developed from the records at each analog 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 USGS (2000b). 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, it is assumed that the length of the various simulation 
periods are 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 modern climate 
net-infiltration scenario were obtained by averaging simulations performed specifically for the 
mean modern climate and thus are not necessarily equivalent to the arithmetic mean of the 
estimates for the upper and lower bound modern climate scenarios. 
6.9.2 Development of Results for the Modern Climate Scenarios 
Net-infiltration estimates for the mean modern climate scenario (which is also used to define the 
lower bound glacial transition 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 (Attachment V, 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 potential 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-probability-
distribution 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), and are identical to 
the parameters used in Flint et al. (1996, Table 6). 
Mean net-infiltration estimates for the upper bound modern 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) 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 in Flint et al. (1996, Table 6). The upper bound modern climate scenario is used to represent 
wetter conditions from enhanced El Nio Southern Oscillation (ENSO) activity or other sources 
of present-day climate variability. 
Net-infiltration estimates for the lower bound modern 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 modern 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. 
Table 6-3. Summary of developed daily climate input files used for modern climate 
scenarios. (Attachment I) 
6.9.3 Development of Results for the Monsoon Future Climate Scenarios 
The lower bound monsoon climate scenario is defined by USGS (2000b) as being equivalent to 
the mean modern climate scenario. The upper bound monsoon climate is represented using daily 
climate records from two analog sites identified by USGS (2000b): 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), 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. 
Table 6-4. Summary of analog climate records used to develop the daily climate input for 
the upper bound monsoon climate scenario. (Attachment I) 
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 results18. The mean values were calculated using a set 
of two or more simulation results obtained from the daily climate input developed from the 
analog sites defined in USGS (2000b). The purpose of using multiple analog sites is to reduce 
the uncertainty involved in the selection of a single analog site as being representative of the 
predicted future climate conditions. The fact that unsaturated zone 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. 
6.9.4 Development of Results for the Glacial Transition Future Climate Scenarios 
The lower bound glacial transition climate is represented using daily climate records from two 
analog sites identified by USGS (2000b): Beowawe, Nevada and Delta, Utah. A summary of the 
daily climate records for the two lower bound glacial transition analog sites, which were 
obtained as NCDC/NOAA records from the EARTHINFO database (DTN: 
GS000100001221.001), 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 analog sites identified by 
USGS (2000b): Rosalia, Washington; Spokane Washington; and St. John, Washington. A 
summary of the daily climate records for the three upper bound glacial transition analog sites, 
18 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. 

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 analog 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 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 analog climate records used to develop the daily climate input for 
the lower bound glacial transition climate scenario. (Attachment I) 
Table 6-6. Summary of analog climate records used to develop the daily climate input for 
the upper bound glacial transition climate scenario. (Attachment I) 
In addition to the daily climate input files defined for the future climate scenarios, future climate 
conditions were also represented using root-zone parameters. 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 modern 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 a 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 analog field site appropriate for each climate, and this was beyond the 
work scope of this analysis and modeling activity. 
6.10 DEVELOPMENT OF INPUTS FOR UNCERTAINTY ANALYSIS 
The purpose of the uncertainty analysis described in CRWMS M&O (2000b) is to provide an 
estimate of the uncertainty in infiltration rates over the footprint of the repository and to utilize 
the associated uncertainty distributions to provide input for calculations carried out in the Total-
System-Performance Assessment. The uncertainty measure is provided by a complementary 
cumulative distribution function resulting from a set of 100 realizations (or vectors); each of 
which provides a unique representative infiltration rate. This representative rate, the metric in 
this analysis, is obtained by calculating the spatial average for the corresponding infiltration rate 
map, averaged over a rectangular region including the loaded footprint of the repository. 
Within the scope of this AMR, the developed uncertainty parameters are available in the 
Technical Data Management System (TDMS) and only the methods used are described here. 
The application for the parameters for simulating flow and transport in the unsaturated zone at 
Yucca Mountain is described in CRWMS M&O (2000a). The results developed in this AMR 
and used for the Infiltration Uncertainty Analysis (CRWMS M&O 2000b) are listed in 
Table 7-1. 

6.10.1 Sub-Watershed Models Developed for Uncertainty Analysis 
In order to perform an uncertainty analysis (CRWMS M&O, 2000b) in a timely manner, sub-
watersheds were identified that would be representative of the loaded potential repository area 
within the infiltration model domain. Using the procedure described in Section 6.5.3 of this 
AMR, a total of 7 sub-watersheds were extracted from the geospatial parameter base grid (using 
the WATSHD20 V1.0 software routine) for the modern climate uncertainty analysis and 17 sub-
watersheds were extracted from the geospatial parameter base grid for the future climate 
uncertainty analysis. The additional sub-watersheds 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 contained within the sub-
watersheds used for the modern and future climate uncertainty analysis is approximately 30 
percent of the total net infiltration domain documented in this AMR. 
A listing of the separate sub-watersheds generated specifically for the net infiltration uncertainty 
analysis is provided in Table 4-4 of CRWMS M&O (2000b). 
6.10.2 Preliminary Input Distributions for Selected Parameters 
The uncertainty analysis requires estimates of upper and lower bounds and corresponding 
distribution types for selected model input parameters considered potentially significant to model 
sensitivity for INFIL V2.0. The ideal approach would have been to include multiple input 
realizations distributed spatially across all grid cells. However, such an approach was not 
practical and thus only parameters which could be uniformly scaled using inputs included in the 
model control file were considered. A total of 12 parameters were identified for application in 
the net infiltration uncertainty analysis (CRWMS M&O, 2000b). 
The parameters chosen for development of uncertainty distributions for modern climate were 
effective bedrock porosity (BRPOROS)19, bedrock root zone thickness (BRZDEPTH), soil depth 
(SOILDEPM), precipitation (PRECIPM), potential evapotranspiration (POTETMUL), bulk 
bedrock saturated hydraulic conductivity (BRPERM), soil saturated hydraulic conductivity 
(SOILPERM), two parameters associated with bare soil evaporation (ETCOEFFA, ETCOEFFB) 
and effective surface-water flow area (FLAREA). Two additional parameters related to 
sublimation (SUBPAR1) and melting of snow cover (SNOPAR1) were considered for the 
estimated future climate simulations. 
The upper and lower bounds for the parameters selected were determined using a combination of 
absolute bounds defined by physical limits of the parameter, e.g. porosity and the bedrock root-
zone depth could not be negative, and reasonable limits. Reasonable limits are based on existing 
bounds within the available data. Distributions of the parameters were estimated as normal, 
lognormal or uniform. The lognormal distributions were assigned to conductivity parameters, 
and the uniform distribution was assigned to the snow cover parameters, with the remaining 
assumed normally distributed. 
19 The parameter code names identified in brackets correspond to the IDPRAM parameter code names listed in 
Tables 4-1 and 4-2 in CRWMS M&O (2000b). 

6.10.3 Preliminary Climate Input for Defining the Mean Glacial Transition Climate 
Scenario. 
A requirement for the intended application of the net infiltration uncertainty analysis (CRWMS 
M&O, 2000b) is that the output distribution developed from the 100 realizations for a given 
climate stage can be used to define the uncertainty of the net infiltration model results around the 
mean climate scenario for that climate stage. As only upper and lower bounding future climate 
analogs were available from USGS (2000b), and the mean scenario was developed using an 
arithmetic mean without a distribution, a method to evaluate the uncertainty in the developed 
mean climate scenario was required. For the future climate uncertainty analysis, Tule Lake, CA, 
was selected as a mean future climate analog site on the basis of the daily climate record 
available for that location and the characteristics of precipitation and air temperature observed 
for that record. The record characteristics included MAP, MAT, and the seasonal distribution of 
precipitation and temperature as it compared to the upper and lower bounds defined in USGS 
(2000b) and also to the developed mean for the future climate estimates in Sections 6.9.3 and 
6.9.4. To develop a daily climate input file based on the Tule Lake, CA record, the software 
routine DAILY09 V1.0 was applied to the NCDC format file exported from the EARTHINFO 
data base following the procedure described in Section 6.9.3. For the modern climate 
uncertainty analysis, a set of realizations were obtained separately for the 4JA 100-year 
stochastic simulation climate input and the 1980-95 model calibration climate input, and the 
distributions were averaged to provide a measure of uncertainty consistent with the methods used 
to obtain the mean modern climate net infiltration result. CRWMS M&O (2000b) should be 
consulted for discussion of the results and interpretations of these uncertainty analyses. 
6.11 RESULTS OF NET-INFILTRATION ESTIMATES 
Net infiltration modeling results for modern, monsoon and glacial transition climate scenarios 
can be located in data packages listed in Section 8.5. 
6.11.1 Modern 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 modern 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 modern 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. 
Table 6-7. Summary of INFIL simulation results used to develop spatially distributed 
net-infiltration estimates for modern climate scenarios. (Attachment I) 

Estimation results for the lower bound, mean, and upper bound modern climate scenarios 
obtained using the simulations presented in Table 6-7 and the post-processing methods discussed 
in Section 6 are tabulated for the areas of the net-infiltration model (Table 6-8), the UZ flow and 
transport model (Table 6-9), and the potential repository (Table 6-10). For the net-infiltration 
model domain, results for the mean modern 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 ft3/second), 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 modern climate 
and 8.8 mm/year for the upper bound modern climate. 
Table 6-8. Estimation results for modern climate scenarios over the 123.7-km2 area of the 
infiltration model domain. (Attachment I) 
For the area of the UZ flow and transport model, results for the mean modern 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 UZ flow and transport model area than flows 
out (primarily due to inflow from Yucca Wash). For the lower bound modern climate, net 
infiltration is estimated to be 1.3 mm/year for the UZ flow and transport model area; for the 
upper bound modern climate, net infiltration is estimated to be 11.1 mm/year. 
Table 6-9. Estimation results for modern climate scenarios over the 38.7-km2 area of the 
1999 UZ flow and transport model domain. (Attachment I) 
For the area of the potential repository site, results for the mean modern 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 modern 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 modern climate, net infiltration is estimated to be 11.6 mm/year over the 
area of the potential repository. 
Table 6-10. Estimation results for modern climate scenarios over the 4.7-km2 area of the 
1999 design potential repository area. (Attachment I) 
The spatial distribution of estimated precipitation for the mean modern 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 (Figure 6-23). 
Figure 6-23. Estimated precipitation (mm/year) for the mean modern climate scenario 
(DTN: GS000208311221.001). (Attachment II) 
Estimated evapotranspiration rates in general reflect the distribution of precipitation but also 
reflect local terrain and surface-water flow effects (Figure 6-24). Minimum evapotranspiration 
rates of 140 to 160 mm/year occur along the southern and southeastern sections of the model 
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 sideslopes 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. 
Figure 6-24. Estimated evapotranspiration (mm/year) for the mean modern climate 
scenario. (Attachment II) 
Infiltrated surface-water run-on indicates the contribution of surface-water flow to potential net 
infiltration and evapotranspiration (Figure 6-25). 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 modern climate scenario. 
Figure 6-25. Estimated surface-water run-on depth (mm/year) for the mean modern 
climate scenario. (Attachment II) 
The spatial distribution of estimated net-infiltration rates for the mean modern climate indicates 
most net infiltration occurs in upland areas with thin soils (Figure 6-26). The spatial distribution 
also indicates a strong control of bedrock hydraulic conductivity on spatial distributions and 
magnitudes (Figure 6-26), 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 
potential evapotranspiration, 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 potential evapotranspiration 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 ESF main drift). 
Maximum net-infiltration rates of more than 100 mm/year occur within the UZ flow and 
transport 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 and transport 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. 
Figure 6-26. Estimated net infiltration (mm/year) for the mean modern climate scenario. 
(Attachment II) 
For the lower bound modern climate scenario, the total area with significant net infiltration is 
greatly reduced (Figure 6-27). Within the potential 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 sideslopes and along the west-facing slope of Solitario Canyon. For the upper 
bound modern 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 modern climate estimates (Figure 
6-28). 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 potential 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. 
Figure 6-27. Estimated net infiltration (mm/year) for the lower bound modern climate 
scenario. (Attachment II) 
Figure 6-28. Estimated net infiltration (mm/year) for the upper bound modern climate 
scenario. (Attachment II) 
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 modern day climate result 
(the lower bound monsoon climate result is equal to the modern day climate result). The 
simulation results used to develop the mean modern climate scenario are equivalent to the lower 
bound monsoon climate scenario. Net-infiltration estimates for the mean modern 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 analog 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 net-infiltration rate 
of 15.1 mm/year for the Nogales analog climate record and 12.1 mm/year for the Hobbs analog 
climate record, with maximum net-infiltration rates of 2,900 mm/year and 2,330 mm/year, 
respectively. As in the case of the modern climate simulations, the maximum net-infiltration 
rates occur in the active channel of Yucca Wash. 
Table 6-11. Summary of INFIL simulation results used to develop spatially distributed 
net-infiltration estimates for the upper bound monsoon climate scenarios. (Attachment I) 
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 and transport 

model (Table 6-13), and the potential 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 analog 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. 
Table 6-12. Estimation results for the monsoon climate scenarios over the 123.7-km2 area 
of the infiltration model domain. (Attachment I) 
For the UZ flow and transport 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 and transport model area (the mean modern climate result). Estimation 
results for the upper bound monsoon climate scenario include a precipitation 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 1,016.2 mm/year for the UZ flow and transport model area. 
Table 6-13. Estimation results for the monsoon climate scenarios over the 38.7-km2 area of 
the UZ flow and transport model domain. (Attachment I) 
For the area of the potential 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 modern 
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 potential 
repository. 
Table 6-14. Estimation results for the monsoon climate scenarios over the 4.7-km2 area of 
the 1999 design potential repository area. (Attachment I) 
Figure 6-29 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 potential 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 and transport 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. 

Figure 6-29. Estimated net infiltration (mm/year) for the mean monsoon climate scenario. 
(Attachment II) 
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 6-30). 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 6-31). 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. 
Figure 6-30. Estimated net infiltration (mm/year) for the upper bound monsoon climate 
scenario. (Attachment II) 
Figure 6-31. Infiltrated surface-water run-on depth (mm/year) for the upper bound 
monsoon climate scenario. (Attachment II) 
6.11.3 Glacial Transition Climate 
Table 6-15 lists the simulation results for the two analog 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 9.6 degrees Celsius, 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 10.8 degrees Celsius, 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 6-15. INFIL simulation results used to develop spatially distributed net-infiltration 
estimates for the lower bound glacial transition climate scenario. (Attachment I) 
Table 6-16 lists the simulation results for the three analog 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 9.0 degrees Celsius, 
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 9.2 degrees 
Celsius, 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 9.9 degrees Celsius 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. 
Table 6-16. INFIL simulation results used to develop spatially distributed net-infiltration 
estimates for the upper bound glacial transition climate scenario. (Attachment I) 
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 and transport model (Table 6-18), 
and the potential 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 estimatedto 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 infiltration model domain. (Attachment I) 
For the area of the UZ flow and transport 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 and transport 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 potential 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 and transport model area and outflow is estimated to be 15.6mm/year. 
Table 6-18. Estimation results for the glacial transition climate scenarios over the 38.7-
km2 area of the UZ flow and transport model domain. (Attachment I) 
Table 6-19. Estimation results for the glacial transition climate scenarios for the 4.7-km2 
area of the 1999 design potential repository area. (Attachment I) 
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 
modern climate correlation), with a minimum precipitation rate of approximately 280 mm/year 
and a maximum rate of almost 400 mm/year (Figure 6-32). 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 6-33). 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. 
Figure 6-32. Precipitation (mm/year) for the mean glacial transition climate scenario. 
(Attachment II) 
Figure 6-33. W ater-equivalent snowfall depth (mm/year) for the mean glacial transition 
climate scenario. (Attachment II) 
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 (Figure 6-34). Minimum evapotranspiration rates are less than 100 mm/year 
on steep sideslopes with thin soil cover (Table 6-17), while maximum rates are close to 600 
mm/year in active channel locations. 
Figure 6-34. Evapotranspiration (mm/year) for the mean glacial transition climate 
scenario. (Attachment II) 
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 6-35). 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 (Table 6-17). 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 6-36). 
Within the potential repository area, a maximum net-infiltration rate exceeding 500 mm/year 
occurs in the channel of Drill Hole Wash. 
Figure 6-35. Estimated infiltrated surface-water run-on (mm/year) for the mean glacial 
transition climate scenario. (Attachment II) 
Figure 6-36. Estimated net infiltration (mm/year) for the mean glacial transition climate 
scenario. (Attachment II) 
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 6-37). Within the potential 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 6-38). Within the UZ flow and transport 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 sideslopes. 
Figure 6-37. Estimated net infiltration (mm/year) for the lower bound glacial transition 
climate scenario. (Attachment II) 
Figure 6-38. Estimated infiltrated surface-water run-on depth (mm/year) for the lower 
bound glacial transition climate scenario. (Attachment II) 
The map of estimated net infiltration for the upper bound glacial transition climate scenario 
indicates relatively high net-infiltration rates of 50 to 100 mm/year throughout the crest area of 
Yucca Mountain, and relatively high rates of 100 to 500 mm/year for most steep side-slope 
locations in the northern part of the UZ flow and transport model domain (Figure 6-39). 
Maximum rates of more than 1,000 mm/year are common throughout the lower portions of the 
Yucca Wash channel. Within the potential 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 
potential repository area (Figure 6-40). In general, the maximum net-infiltration rates occur at 
locations where the infiltrated run-on rates are high. 
Figure 6-39. Estimated net infiltration (mm/year) for the upper bound glacial transition 
climate scenario. (Attachment II) 
Figure 6-40. Estimated infiltrated surface-water run-on depth (mm/year) for the upper 
bound glacial transition climate scenario (DTN: GS000308311221.005). (Attachment II) 
6.12 MODEL VALIDATION AND COMPARISON WITH ALTERNATIVE 
ESTIMATES OF NET INFILTRATION 
Confidence in models representing natural systems with processes, such as net infiltration and 
recharge in arid environments, that cannot be directly measured can be developed by comparing 
model results with alternative and independent methods to estimate those processes. In 
particular, the comparison of the results from the net-infiltration model for the Yucca Mountain 
site area with various other methods of estimating net infiltration in the Yucca Mountain region 
provides confidence that the net-infiltration model is appropriate for its intended use in 
providing the upper boundary condition for the site-scale 3-dimensional UZ flow and transport 
model. 
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., 
basinwide 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 V2.0 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. Maxey and Eakin (1950) developed a method of estimating recharge to ground-water 
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/yr average annual precipitation, 3 percent for 203 to 304 mm/yr, 7 percent 
for 305 to 380 mm/yr, 15 percent for 381 to 507 mm/yr, and 25 percent for 508 mm/yr or greater. 
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. Lichty and McKinley (1995) 
provided an analysis of recharge for two basins in central Nevada using a 6-yr measurement 
period and two independent modeling approaches: water balance and chloride mass balance. 
Their results yielded recharge rates of 10 to 30 mm/yr for a drainage basin with an average 
annual precipitation of 270 mm, and 300 to 320 mm/yr for a drainage basin with an average 
annual precipitation of 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 and transport model area, and the potential 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, pp. 4041) 
and Lichty and McKinley (1995, Table 15) (Figure 6-41). 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 saturated zone boreholes at Yucca 
Mountain (CRWMS M&O, 2000c) (Figure 6-41). The recharge estimates were obtained using 
measurements of chloride concentrations from saturated-zone boreholes, and are based on an 
estimated long-term average annual precipitation rate of 170 mm/year (Hevesi et al., 1992), 
along with an estimated range of chloride concentrations in precipitation at Yucca Mountain of 
0.3 to 0.6 mg/L (CRWMS M&O, 2000c). This results in an average recharge estimate ranging 
from 7 to 14 mm/year for the saturated zone underlying Yucca Mountain (CRWMS M&O, 
2000d), and corresponds to an average Holocene precipitation rate of 170 mm/year at Yucca 
Mountain. The recharge estimates are higher than the spatially averaged mean modern climate 
net infiltration rate, but are in good general agreement with the upper bound modern climate, the 
mean monsoon climate, and the mean glacial transition climate net infiltration rates. The 
apparent discrepancy between the Holocene recharge estimates and the mean modern climate net 
infiltration estimate may be attributed to the saturated zone geochemistry being indicative of 
recharge from various different sources, including the higher recharge zones which are likely to 
exist to the north of Yucca Mountain (Pahute Mesa and Timber Mountain). In addition, the 
saturated zone geochemistry is representative of a longer-term Holocene climate period, and is 
likely to be indicative of recharge rates during wetter cycles within the Holocene. In comparison 
to chloride mass balance recharge estimates obtained for the saturated zone, chloride mass 

balance estimates from pore-water samples in the unsaturated zone indicate lower recharge rates, 
with an average rate of approximately 5 mm/year for Yucca Mountain (CRWMS M&O, 2000c). 
In general, the average unsaturated-zone chloride mass balance recharge estimate is consistent 
with the spatially averaged mean modern climate net infiltration estimate for Yucca Mountain, 
whereas the average saturated-zone chloride mass balance recharge estimate is more consistent 
with the longer-term mean monsoon and mean glacial transition climate net infiltration estimate. 
Figure 6-41. Comparison of INFIL V2.0 simulated average net-infiltration rates (DTN: 
GS000308311221.005) at Y ucca Mountain (upper bound, lower bound, and mean for three 
climates) with an estimate of the average Holocene recharge rate for the saturated zone at 
Yucca Mountain [CRWM S M&O, 2000c] and with estimates of recharge in the southern 
Great Basin obtained using alternative methods (Maxey and Eakin, 1950; Lichty and 
McKinley, 1995; Winograd, 1981). (Attachment II) 
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 400-450 
mm/year. The higher Maxey-Eakin estimates are 15 percent of average annual precipitation, 
while the net-infiltration estimates are only 5-10 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). 
Recharge estimates of approximately 300 mm/year obtained by Lichty and McKinley (1995) for 
a small, relatively high-elevation basin receiving approximately 600 mm/year precipitation 
(mostly as snow) indicate 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 in (203 
mm/yr) (Harrill and Prudic, 1998) (Figure 6-42). The chloride mass balance method was used by 
Dettinger (1989) 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) that are presented on Figure 6-41 are included on Figure 6-42. 
The net infiltration for selected modeling domains (see Figure 6-12) and calibration watersheds 
(see Figure 6-19) at Yucca Mountain is shown on Figure 6-42. 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 6-41 and 6-42, 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. 

Figure 6-42. Comparison of various methods to estimate recharge in the Death Valley 
region and Y ucca Mountain with model results from INFIL V2.0 (DTN: 
GS000308311221.005), as a function of average annual precipitation. (Attachment II) 
The empirical data with which the model results are compared in Figures 6-41 and 6-42 consist 
of a mixture of qualified and unqualified data. Because of the overall mutual consistency of 
these data and their general accordance with the net infiltration model results, the use of the 
unqualified data is appropriate for establishing confidence in the model and does not impact the 
validity of the model for its intended use. 

7.7.CONCLUSIONS
CONCLUSIONS
This AMR describes enhancements made to the infiltration model documented in Flint et al. 
(1996) and documents an analysis using the model to generate spatial and temporal distributions 
over a model domain encompassing the Yucca Mountain site, 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 
average depth below the ground surface (at a given location) from which water is removed by 
evapotranspiration. The estimates of net infiltration are used for defining the upper boundary 
condition for the site-scale 3-dimensional UZ flow and transport model and the Total System 
Performance Assessment model. Estimates of net infiltration are provided as raster-based, 2dimensional 
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 provide 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 and transport models. 
All source data, references, models, routines and procedures are described, noted or referenced in 
this AMR for complete tracking of all analyses. All assumption used to obtain estimates of net 
infiltration are described. This analysis consists of (1) modifications to the 1996 model code 
INFIL V1.0 (Flint et al., 1996), (2) an updating of input parameters defining the new model 
INFIL V2.0 , (3) calibration of the new model using stream flow records, (4) the development of 
daily climate input representative of potential future climate stages, and (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. Developed output data are listed by Data Tracking 
Number (DTN) in Table 7-1. 
Table 7-1. Output Data Sets Generated in the Development and Application of the Net 
Infiltration Model (Attachment I) 
7.1 SUMMARY OF RESULTS 
The net infiltration simulation results for the 1980-95 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 modern climate scenarios. 
Results for the mean modern 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 ft3/second), 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 modern climate and 8.8 mm/year for the upper bound modern climate over the area 
of the net infiltration model domain. The spatial distribution of estimated precipitation for the 
mean modern 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 modern 
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 are 
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 and transport 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 and transport model is dominated, however, 
by the lower rates of one 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 
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 potential 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 and 
transport 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 
modern 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) obtained for 
precipitation rates of 400- 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 modern 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 modern and future climate stages, the weighted average simulated net infiltration rate for the 
next 10,000 years is 18 mm/year over the potential repository area and 16.4 mm/year over the 
area of the UZ flow and transport model. These results indicate that the simulated net infiltration 
rates are consistent with results obtained from chloride geochemistry analysis. 
7.2 LIMITATIONS AND UNCERTAINTIES 
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. 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 glacial transition climate scenarios 
was assumed at the time of this analysis 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 analog sites. 
A rigorous sensitivity analysis for net infiltration was addressed by CRWMS M&O (2000b) 
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 glacial transition climate stage over a rectangular region closely 
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 of CRWMS 
M&O (2000b). 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 AMR. 
The results from the 100 realizations include a mean net infiltration rate of 25.5 mm/year, a 
median value of 20.6 mm/year, and a standard deviation of 19.2 mm/year (CRWMS M&O, 
2000b). These results are consistent with the results presented in Table 6-19 for estimated net 
infiltration rates over the area of the potential 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 
AMR 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 are not necessarily representative of additional sources of model uncertainty, such as 
uncertainty in soil and bedrock properties. 
The nearly lognormal output distribution obtained in the uncertainty analysis indicates a potential 
inconsistency with the uniform distributions assumed in this AMR 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. For the uncertainty analysis, the logarithms of the net infiltration rates were used 
to calculate appropriate weighting coefficients that will be applied to the net infiltration maps for 
the three climate scenarios in each climate stage of the RIP simulations for TSPA. The weighting 
factors were determined to be 0.17, 0.48, and 0.35 for the lower bound, mean, and upper bound 
climate scenarios in each climate stage (CRWMS M&O, 2000b). This result will cause an 
upward shift in mean net infiltration rates for the RIP simulations relative to the results presented 
in this AMR. This is considered only an apparent inconsistency because the nine developed net 
infiltration estimates were not originally intended to be representative of the additional sources 
of model uncertainty. 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 
net infiltration estimates. 
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 analysis. 
It can be assumed based on the sources of model uncertainty described above and throughout the 
AMR document that the results presented in this AMR 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. It can also be assumed based on knowledge of the sources of model uncertainty 

that the output distribution obtained from multiple stochastic realizations would define a 
relatively wide output distribution. Thus, potential users of the results presented in this AMR 
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. 
7.3 RESTRICTIONS FOR SUBSEQUENT USE 
There are no known restrictions for subsequent use. 

8.8.INPUTS AND REFEREINPUTS AND REFERENCES
NCES
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R.R. 1996. Flow Calculations for Yucca Mountain Groundwater Travel Time (GWTT-95). 
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Campbell, G.S. 1985. Soil Physics with BASIC Transport Models for Soil-Plant Systems. 
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CRWMS M&O 2000b. Analysis of Infiltration Uncertainty. ANL-NBS-HS-000027 REV 00. Las 
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Las Vegas, Nevada: CRWMS M&O. ACC: MOL.20000918.0287. 

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and Adjacent States - Summary Report. USGS-PP-1409-A. Washington, D.C.: U.S. Government 
Printing Office. TIC: 247432. 
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. 
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. 
Hevesi, J.A.; Ambos, D.S.; and Flint, A.L. 1994a. "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. 
Hevesi, J.A.; Flint, A.L.; and Flint, L.E. 1994b. "Verification of a One-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. 
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. 
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York: John Wiley & Sons. TIC: 241000. 
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. 
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. 
Liu, H.H.; Doughty, C.; and Bodvarsson, G.S. 1998. "An Active Fracture Model for Unsaturated 
Flow and Transport in Fractured Rocks." Water Resources Research, 34, (10), 2633-2646. 
Washington, D.C.: American Geophysical Union. TIC: 243012. 

Maidment, D.R., ed. 1993. Handbook of Hydrology. New York, New York: McGraw-Hill. TIC: 
236568. 
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. 
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, 89104. 
Wallingford, United Kingdom: International Association of Hydrological Sciences. TIC: 
245925. 
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. 
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, DC: U.S. Department of Commerce. TIC: 235941. 
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. 
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. 
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. TIC: 203162. 
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. 
USGS (U.S. Geological Survey). 2000a. Simulation of Net Infiltration for Modern and Potential 
Future Climates AMR. TDP-NBS-HS-000016, Rev. 01. Denver, Colorado: U.S. Geological 
Survey. ACC: MOL.2000516.0011. 
USGS (U.S. Geological Survey). 2000b. Future Climate Analysis. ANL-NBS-GS-000008 REV 
00. Denver, Colorado: U.S. Geological Survey. ACC: MOL.20000629.0907. 

Wemheuer, R.F. 1999. "First Issue of FY00 NEPO QAP-2-0 Activity Evaluations." Interoffice 
correspondence from R.F. Wemheuer (CRWMS M&O) to R.A. Morgan, October 1, 1999, 
LV.NEPO.RTPS.TAG.10/99-155, with enclosures. ACC: MOL.19991028.0162. 
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. 
8.2 CODES, STANDARDS, REGULATIONS, AND PROCEDURES CITED 
AP-2.13Q, Rev. 0, ICN 3. Technical Product Development Planning. Washington, D.C.: U.S. 
Department of Energy, Office of Civilian Radioactive Waste Management. ACC: 
MOL.20000504.0305 
AP-2.14Q, Rev. 2. Review of Technical Products and Data. Washington, D.C.: U.S. Department 
of Energy, Office of Civilian Radioactive Waste Management. ACC: MOL.20010801.0316 
AP-2.21Q, Rev. 0, Quality Determinations and Planning for Scientific, Engineering, and 
Regulatory Compliance Activities. Washington, D.C.; U.S. Department of Energy, Office of 
Civilian Radioactive Waste Management. ACC: MOL.20000802.0003 
AP-3.15Q, Rev. 2, ICN 0. Managing Technical Product Inputs. Washington, D.C.: U.S. 
Department of Energy. Office of Civilian Radioactive Waste Management. ACC: MOL. 
MOL.20001109.0051 
AP-SI.1Q, Rev. 2, ICN 4, ECN 1. Software Management. Washington, D.C.: U.S. Department 
of Energy, Office of Civilian Radioactive Waste Management. ACC: MOL.20001019.0023 
AP-SIII.2Q, Rev. 0, ICN 3. Qualification of Unqualified Data and the Documentation of 
Rationale for Accepted Data. Washington, D.C.: U.S. Department of Energy, Office of Civilian 
Radioactive Waste management. ACC: MOL.20001002.0152 
AP-SV.1Q, Rev. 0, ICN 2. Control of Electronic Management of Information. Washington, 
D.C.: U.S. Department of Energy, Office of Civilian Radioactive Waste Management. ACC: 
MOL.200000831.0065 
QAP-2-0, Rev. 5, ICN 1. Conduct of Activities. Las Vegas, Nevada: CRWMS M&O. ACC: 
MOL.19991109.0221 
8.3 SOFTWARE USED 
8.3.1 CODES 
USGS (U.S. Geological Survey) 1996. Software Code: MARKOV V1.0. STN: 10142-1.0-00. 
USGS (U.S. Geological Survey) 1996. Software Code: PPTSIM V1.0. STN: 10143-1.0-00. 
USGS (U.S. Geological Survey) 2000. Software Code: INFIL V2.0. STN: 10307-2.0-00. 

8.3.2 ROUTINES (See Attachments V through XV) 
USGS (U.S. Geological Survey) 2000. Software routine: BLOCKR7 V1.0. ANL-NBS-HS-
000032 
USGS (U.S. Geological Survey) 2000. Software routine: CHNNET16 V1.0. ANL-NBS-HS-
000032 
USGS (U.S. Geological Survey) 2000. Software routine: DAILY09 V1.0. ANL-NBS-HS-000032 
USGS (U.S. Geological Survey) 2000. Software routine: GEOMAP7 V1.0. ANL-NBS-HS-
000032 
USGS (U.S. Geological Survey) 2000. Software routine: GEOMOD4 V1.0. ANL-NBS-HS-
000032 
USGS (U.S. Geological Survey) 2000. Software routine: MAPADD20 V1.0. ANL-NBS-HS-
000032 
USGS (U.S. Geological Survey) 2000. Software routine: MAPSUM01 V1.0. ANL-NBS-HS-
000032 
USGS (U.S. Geological Survey) 2000. Software routine: SORTGRD1 V1.0. ANL-NBS-HS-
000032 
USGS (U.S. Geological Survey) 2000. Software routine: WATSHD20 V1.0. ANL-NBS-HS-
000032 
USGS (U.S. Geological Survey) 2000. Software routine: SOILMAP6 V1.0. ANL-NBS-HS-
000032 
USGS (U.S. Geological Survey) 2000. Software routine: VEGCOV01 V1.0. ANL-NBS-HS-
000032 
8.4 DATA INPUTS, LISTED BY DATA TRACKING NUMBER (DTN) 
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. 
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: 2/29/2000. 
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. 
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. 

GS000208312111.002. Air Temperature Data for Calendar Year 1992 from Weather Station 1 
(Wx-1), Yucca Mountain, Nevada. Submittal date: 02/25/2000. 
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. 
GS000300001221.009. Evapotranspiration Coefficients. Submittal date: 03/02/2000. 
GS000300001221.010. Preliminary Digital Geologic Map Database of the Nevada Test Site 
Area, Nevada by Sawyer and Wahl, 1995. Submittal date: 03/21/2000. 
GS000408312231.003. Relative Humidity Calculated Porosity Measurements on Samples From 
Borehole USW SD-9 Used For Saturated Hydraulic Conductivity. Submittal date: 04/10/2000. 
GS000408312231.004. Data for Core Dried in RH Oven and 105C Oven for USW UZ-N31, UZN32, 
UZ-N33, UZ-N34, UZ-N35, UZ-N38, UZ-N58, UZ-N59, UE-25 UZN#63 and USW UZN64; 
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. 
GS000508312231.005. UE-25 UZ#16 Pycnometer Data. Submittal date: 05/03/00. 
GS000508312231.006. Physical Properties and Water content From Borehole USW NRG-6, 
3/19/94 to 3/27/95. Submittal Date 05/23/00. 
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. 
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. 
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. 
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. 
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. 
GS941208312121.001. Surface-Water Discharge Data for the Yucca Mountain Area, Southern 
Nevada and Southern California, 1994 Water Year. Submittal date: 11/30/1994. 
GS941208312212.017. Subsurface Water Content at Yucca Mountain, Nevada  Neutron 
Logging Data for 1/1/94 thru FY94. Submittal date: 12/02/1994. 

GS950308312231.002. 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. 
GS950408312231.004. Physical Properties and Water Potentials of Core from Borehole USW 
SD-9. Submittal date: 03/01/1995. 
GS950408312231.005. Physical Properties and Water Potentials of Core from Borehole USW 
UZ-14. Submittal date: 03/09/1995. 
GS950608312231.008. Moisture Retention Data from Boreholes USW UZ-N27 and UE-25 
UZ#16. Submittal date: 06/06/1995. 
GS950708312211.002. FY94 and FY95 Laboratory Measurements of Physical Properties of 
Surficial Materials at Yucca Mountain, Nevada. Submittal date: 07/18/1995. 
GS950708312211.003. Fracture/Fault Properties for Fast Pathways Model. Submittal date: 
07/24/1995. 
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. 
GS951108312231.009. Physical Properties, Water Content, and Water Potential for Borehole 
USW SD-7. Submittal date: 09/26/1995. 
GS951108312231.010. Physical Properties and Water Content for Borehole USW NRG-7/7A. 
Submittal date: 09/26/1995. 
GS951108312231.011. Physical Properties, Water Content, and Water Potential for Borehole 
USW UZ-7A. Submittal date: 09/26/1995. 
GS960108312111.001. Geostatistical Model for Estimating Precipitation and Recharge in the 
Yucca Mountain Region, Nevada - California. Submittal date: 01/23/1996. 
GS960108312211.001. FY95 Laboratory Measurements of Physical Properties of Surficial 
Material at Yucca Mountain, Part II. Submittal date: 01/04/1996. 
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. 
GS960108312212.001. Volumetric Water Content Calculated from Field Calibration Equations 
Using Neutron Counts from 97 Boreholes at Yucca Mountain. Submittal date: 01/31/1996. 
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. Submit to RPC URN-0375 

GS960508312212.008. Estimated Annual Shallow Infiltration at 84 Boreholes, Water Years 
1990 to 1995. Submittal date: 05/17/1996. Submit to RPC URN-0374 
GS960808312231.001. Water Permeability and Relative Humidity Calculated Porosity for 
Boreholes UE-25 UZ-16 and USW UZ-N27. Submittal date: 08/28/1996. 
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. 
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. 
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. 
GS960908312111.004. 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: 09/12/96. 
GS960908312121.001. Surface-Water Discharge Data for the Yucca Mountain Area, Southern 
Nevada and Southern California, 1995 Water Year. Submittal date: 10/10/1996. 
GS960908312211.003. Conceptual and Numerical Model of Infiltration at Yucca Mountain, 
Nevada. Submittal date: 09/12/1996. 
GS960908312211.004. Heat Dissipation Probe Data: Bleach Bone Ridge 3/95 - 11/95. Submittal 
date: 09/19/1996. 
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. 
GS971208314221.003. Revised Bedrock Geologic Map of the Central Block Area, Yucca 
Mountain, Nevada. Submittal date: 12/30/1997. 
GS980708312242.011. Physical Properties and Hydraulic Conductivity Measurements of Lexan-
Sealed Samples from USW WT-24. Submittal date: 07/30/1998. 
GS980808312242.012. Unsaturated Hydraulic Properties of Lexan-Sealed Samples From USW 
WT-24, Measured Using a Centrifuge. Submittal date: 08/05/1998. 
GS980908312242.038. Physical Properties and Saturated Hydraulic Conductivity Measurements 
of Lexan-Sealed Samples from USW SD-6. Submittal date: 09/22/1998. 
GS980908312242.039. Unsaturated Water Retention Data for Lexan-Sealed Samples from USW 
SD-6 Measured Using a Centrifuge. Submittal date: 09/22/1998. 

GS990408312231.001. Saturated Hydraulic Conductivity of Core from SD-9, 2/27 - 3/27/95.
Submittal date: 04/27/1999.
MO0003COV00095.000. Coverage: Scotbons. Submittal date: 03/01/2000.
MO0109HYMXPROP.001. Matrix Hydrologic Properties Data. Submittal date: 09/17/2001.
SNSAND96081900.000. Flow Calculations for Yucca Mountain Groundwater Travel Time
(GWTT-95). Submittal date: 12/17/1996.
8.5 OUTPUT DATA, LISTED BY DATA TRACKING NUMBER (DTN) 
GS000308311221.005 Net Infiltration Modeling Results for 3 Climate Scenarios FY99. 
Submittal date: 03/01/2000. 
GS000308311221.011. Template Files for Uncertainty Analyses. Submitttal 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. 
GS000308311221.008. Preliminary Estimates of Input Parameter Distributions Used for 
Infiltration Uncertainty Analysis. Submittal date: 03/13/2000. 
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. 

ATTACHMENT I 
ATTACHMENT II: 
ATTACHMENT III: 
ATTACHMENT IV: 
ATTACHMENT V: 
ATTACHMENT VI: 
ATTACHMENT VII: 
ATTACHMENT VIII: 
ATTACHMENT IX: 
ATTACHMENT X: 
ATTACHMENT XI: 
ATTACHMENT XII: 
VEGCOV01 V1.0 
ATTACHMENT XIII: 
WATSHED20 V1.0 
ATTACHMENT XIV: 
ATTACHMENT XV: 
9.9.ATTACHMENTSATTACHMENTSTables 
Figures 
Yucca Mountain 1980-95 Developed Daily Precipitation Record 
Geospatial Input Data for INFIL V2.0 FY99 
Development of Daily Climate Input using DAILY09 V1.0 
Calculation of Blocking Ridges using BLOCKR7 V1.0 
Inclusion of Updated Bedrock Geology using GEOMAP7 V1.0 
Adjustment of the Soil Depth Class Map using GEOMOD4 V1.0 
Estimation of Soil Depth using SOILMAP6 V1.0 
Development of Flow Routing Parameters using SORTGRD1 V1.0 
Calculation of Flow Routing Parameters using CHNNET16 V1.0 
Development of Geospatial Input Parameters using 
Extraction of Watershed Modeling Domains using 
Post-processing of model results using MAPADD20 V1.0 
Post-processing of model results using MAPSUM01 V1.0 

ATTACHMENT ITABLES
TOTAL PAGES
: 24

Table 3-1 Computer Software Used to Develop Estimates of Net Infiltration. 
Item 
No. 
Software 
Name 
Version 
Software 
Tracking 
Number 
Computer 
Type Used 
Description 
1 MARKOV 1.0 10142-1.0-00 Pentium Pro 
PC, Windows 
NT 4.0 
Calculates monthly Markov chain 
probabilities for occurrence of daily 
precipitation and fits monthly 
exponential distribution coefficients 
to define the cumulative probability 
distribution function for the 
magnitude of daily precipitation. 
Uses daily precipitation records for 
input. 
2 PPTSIM 1.0 10143-1.0-00 Pentium Pro 
PC, Windows 
NT 4.0 
Performs a stochastic simulation of 
daily precipitation using input 
probabilities and coefficients 
provided as output from MARKOV 
and a user defined prime seed. 
3 BLOCKR7 1.0 Attachment VI Pentium Pro 
PC, Windows 
NT 4.0 
FORTRAN77 
Combines ARCINFO raster-grid 
export files (30mlat.asc, 
30mlong.asc, 30mslope.asc, 
30maspct.asc, 30melev.asc, 
30msoil.asc, 30mdpth.asc, 
30mrock.asc, and 30mtopo.asc) 
into a single column-formatted 
ASCII text file. Calculates 36 
blocking ridge parameters for all 
grid locations using the raster-grid 
elevation data and adds the 36 
columns to the output file 
(30msite.inp). 
4 GEOMAP7 1.0 Attachment VII Pentium Pro 
PC, Windows 
NT 4.0 
FORTRAN77 
Updates the 1996 INFIL V1.0 
geospatial input file (30msite.inp) to 
include the Day and others (1998) 
central block geology map. 
5 VEGCOV01 1.0 Attachment XII Pentium Pro 
PC, Windows 
NT 4.0 
FORTRAN77 
Performs a modification to bedrock 
saturated hydraulic conductivity 
provided as input to account for a 
north-south gradation in bedrock 
hydraulic conductivity. 
6 GEOMOD4 1.0 Attachment VIII 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. 
7 SOILMAP6 1.0 Attachment IX 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. 

Item 
No. 
Software 
Name 
Version 
Software 
Tracking 
Number 
Computer 
Type Used 
Description 
8 SORTGRD1 1.0 Attachment X 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. 
9 CHNNET16 1.0 Attachment XI 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. 
10 WATSHD20 1.0 Attachment XIII Pentium Pro 
PC, Windows 
NT 4.0 
FORTRAN77 
Extracts the watershed modeling 
domains based on a user defined 
watershed outflow point and input 
supplied form SORTGRD1 and 
CHNNET16. The output file is 
supplied directly as input to 
INFIL V2.0. 
11 INFIL 2.0 10307-2.0-00 Pentium Pro 
PC, Windows 
NT 4.0 
FORTRAN77 
Simulates components of the water 
balance for watershed input 
domains supplied by WATSHD20, 
daily climate input, and model 
parameters included in the model 
control file. Outputs average 
annual rates for all components of 
the water balance, including net 
infiltration rates, for all grid cells 
located within the watershed-
modeling domain. 
12 DAILY09 1.0 Attachment V 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 Attachment XIV 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 Attachment XV Pentium Pro 
PC, Windows 
NT 4.0 
FORTRAN77 
Calculates statistics for sub-areas 
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. 

Table 4-1. Data Sets Used for Model Development, Calibration, and Application. 
Description Data Tracking Number 
EarthInfo, Inc. Western US Meteorologic Station Weather Data - NCDC Summary of GS000100001221.001 
Day (West 1) and NCDC Summary of Day (West 2). Submittal date: 01/25/2000. 
Precipitation Data for Nevada Test Site, 1957-1994, from Air Resources Laboratory, GS000200001221.002 
from National Oceanographic and Atmospheric Administration (NOAA) Precipitation 
Data. Submittal date: 2/29/2000. 
NAD27 Datum of USGS Digital Elevation Model from Topopah Spring West and GS000200001221.003 
Busted Butte 7.5 Minute Quadrangles. Submittal date: 02/18/2000. 
Precipitation Data for May 3, 1989 through September 30, 1994 from Weather GS000208312111.001 
Stations 1 and 3, Yucca Mountain, Nevada. Submittal date: 02/22/2000. 
Air Temperature Data for Calendar Year 1992 from Weather Station 1 (Wx-1), Yucca GS000208312111.002 
Mountain, Nevada. Submittal date: 02/25/2000. 
Precipitation Data for July 17, 1987 through May 2, 1989 from Weather Stations 1 GS000208312111.003 
and 3, Yucca Mountain, Nevada. Submittal date: 03/01/2000. 
Evapotranspiration Coefficients. Submittal date: 03/02/2000. GS000300001221.009 
Preliminary Digital Geologic Map Database of the Nevada Test Site Area, Nevada by GS000300001221.010 
Sawyer and Wahl, 1995. Submittal date: 03/21/2000. 
Matrix Hydrologic Properties Data. Submittal date: 09/17/2001. MO0109HYMXPROP.001 
Relative Humidity Calculated Porosity Measurements on Samples From Borehole GS000408312231.003 
USW SD-9 Used For Saturated Hydraulic Conductivity. Submittal date: 04/10/2000. 
USW UZ-N54 and USW UZ-N55 Core Analysis: Bulk Density, Porosity, Particle GS920508312231.012 
Density and In Situ Saturation for Core Dried in 105C Oven. Submittal date: 
05/14/1992. 
USW UZ-N53 Core Analysis: Bulk Density, Porosity, Particle Density, and In-Situ GS930108312231.006 
Saturation for Core Dried in 105C Oven. Submittal date: 10/05/1992. 
Data For Core Dried in RH Oven and 105C Oven for USW UZ-N31, UZ-N32, UZ-GS000408312231.004 
N33, UZ-N34, UZ-N35, UZ-N38, UZ-N58, UZ-N59, UE-25 UZN#63, and USW UZN64; 
Data for Core Dried in 105C Oven only for USW UZ-N11, UZ-N15, UZ-N16, UZN17, 
UZ-N27, UZ-N36, and UZ-N37. Submittal date: 04/28/2000. 
Core Analysis of Bulk Density, Porosity, Particle Density, and In-Situ Saturation for 3 GS940408312231.004 
Neutron Boreholes, USW UZ-N57, UZ-N61, and UZ-N62. Submittal date: 
04/01/1994. 
Core Analysis of Bulk Density, Porosity, Particle Density and In Situ Saturation for GS940508312231.006 
Borehole UE-25 UZ#16. Submittal date: 05/04/1994. 
Volumetric Water Content from Neutron Moisture Meter Counts for 99 Boreholes from GS940708312212.011 
5/3/89 or from the Time They Were Drilled until 12/31/93. Submittal date: 07/13/1994. 
Surface-Water Discharge Data for the Yucca Mountain Area, Southern Nevada and GS941208312121.001 
Southern California, 1994 Water Year. Submittal date: 11/30/1994. 
Subsurface Water Content at Yucca Mountain, Nevada  Neutron Logging Data for GS941208312212.017 
1/1/94 thru FY94. Submittal date: 12/02/1994. 
Laboratory Measurements of Bulk Density, Porosity, and Water Content for USW SD-GS950308312231.002 
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. 
UE-25 UZ#16 Pycnometer Data. Submittal date: 05/03/00. GS000508312231.005 
Physical Properties and Water Potentials of Core from Borehole USW SD-9. GS950408312231.004 
Submittal date: 03/01/1995. 
Physical Properties and Water Potentials of Core from Borehole USW UZ-14. GS950408312231.005 
Submittal date: 03/09/1995. 
Physical Properties and Water Content from Borehole USW NRG-6, 19 Mar 94 to 27 GS000508312231.006 
Mar 95. Submittal date: 05/23/00. 
Moisture Retention Data from Boreholes USW UZ-N27 and UE-25 UZ#16. Submittal GS950608312231.008 
date: 06/06/1995. 
FY94 and FY95 Laboratory Measurements of Physical Properties of Surficial Materials GS950708312211.002 
at Yucca Mountain, Nevada. Submittal date: 07/18/1995. 
Fracture/Fault Properties for Fast Pathways Model. Submittal date: 07/24/1995. GS950708312211.003 
Volumetric Water Content Calculated from Field Calibration Equations Using Neutron GS950808312212.001 
Counts from 97 Boreholes at Yucca Mountain from 1 Oct 94 to 31 May 95. Submittal 
date: 08/01/1995. 

Description Data Tracking Number 
Physical Properties, Water Content, and Water Potential for Borehole USW SD-7. GS951108312231.009 
Submittal date: 09/26/1995. 
Physical Properties and Water Content for Borehole USW NRG-7/7A. Submittal date: GS951108312231.010 
09/26/1995. 
Physical Properties, Water Content, and Water Potential for Borehole USW UZ-7A. GS951108312231.011 
Submittal date: 09/26/1995. 
Geostatistical Model for Estimating Precipitation and Recharge in the Yucca Mountain GS960108312111.001 
Region, Nevada - California. Submittal date: 01/23/1996. 
Volumetric Water Content Calculated from Field Calibration Equations Using Neutron GS960108312212.001 
Counts from 97 Boreholes at Yucca Mountain. Submittal date: 01/31/1996. 
Estimated Distribution of Geomorphic Surfaces and Depth to Bedrock for the GS960508312212.007 
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 
Estimated Annual Shallow Infiltration at 84 Boreholes, Water Years 1990 to 1995. GS960508312212.008 
Submittal date: 05/17/1996. Submit to RPC 
Water Permeability and Relative Humidity Calculated Porosity for Boreholes UE-25 GS960808312231.001 
UZ-16 and USW UZ-N27. Submittal date: 08/28/1996. 
Moisture Retention Data for Samples from Boreholes USW SD-7, USW SD-9, USW GS960808312231.003 
SD-12 and UE-25 UZ#16. Submittal date: 08/30/1996. 
Physical Properties, Water Content and Water Potential for Samples from Lower GS960808312231.004 
Depths in Boreholes USW SD- 7 and USW SD-12. Submittal date: 08/30/1996. 
Water Permeability and Relative Humidity Calculated Porosity for Samples from GS960808312231.005 
Boreholes USW SD-7, USW SD- 9, USW SD-12 AND USW UZ-14. Submittal date: 
08/30/1996. 
Relative Humidity, Temperature, Wind Speed, Wind Direction, Net Solar Radiation GS960908312111.004 
and Precipitation Data from Five Weather Stations in the Yucca Mountain Area for 
1995 Water Year. Submittal date: 09/12/96. 
Surface-Water Discharge Data for the Yucca Mountain Area, Southern Nevada and GS960908312121.001 
Southern California, 1995 Water Year. Submittal date: 10/10/1996. 
FY95 Laboratory Measurements of Physical Properties of Surficial Material at Yucca GS960108312211.001 
Mountain, Part II. Submittal date: 01/04/1996. 
Gravimetric and Volumetric Water Content and Rock Fragment Content of 31 GS960108312211.002 
Selected Sites at Yucca Mountain, Part III. Submittal date: 01/08/1996 
Conceptual and Numerical Model of Infiltration at Yucca Mountain, Nevada. Submittal GS960908312211.003 
date: 09/12/1996. 
Heat Dissipation Probe Data: Bleach Bone Ridge 3/95 - 11/95. Submittal date: GS960908312211.004 
09/19/1996. 
FY96 Site Meteorology Data: Relative Humidity, Temperature, Wind Speed, Wind GS970108312111.001 
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. 
Revised Bedrock Geologic Map of the Central Block Area, Yucca Mountain, Nevada. GS971208314221.003 
Submittal date: 12/30/1997. 
Physical Properties and Hydraulic Conductivity Measurements of Lexan-Sealed GS980708312242.011 
Samples from USW WT-24. Submittal date: 07/30/1998. 
Unsaturated Hydraulic Properties of Lexan-Sealed Samples From USW WT-24, GS980808312242.012 
Measured Using a Centrifuge. Submittal date: 08/05/1998. 
Physical Properties and Saturated Hydraulic Conductivity Measurements of Lexan-GS980908312242.038 
Sealed Samples from USW SD-6. Submittal date: 09/22/1998. 
Unsaturated Water Retention Data for Lexan-Sealed Samples from USW SD-6. GS980908312242.039 
Submittal date: 09/22/1998. 
Saturated Hydraulic Conductivity of Core from SD-9, 2/27 - 3/27/95. Submittal date: GS990408312231.001 
04/27/1999. 
Coverage: Scotbons. Submittal date: 03/01/2000. Submit to RPC MO0003COV00095.000 
Flow Calculations for Yucca Mountain Groundwater Travel Time (GWTT-95). SNSAND96081900.000. 
Submittal date: 12/17/1996. 

Precipitation records used for developing 100-year stochastic models of daily climate input 
Table 6-1. Stations And Precipitation Records Used to Develop the 198095 Daily Climate Input Files 
Used for Model Calibration and for Modern Climate Scenarios 
[UTM, Universal Transverse Mercator; m, meters; mm, millimeters] 
Precipitation records used for developing 198095 daily climate input used for model calibration 
Station name Data source 
UTM 
easting 
(m) 
UTM 
northing 
(m) 
Station 
elevation 
(m) 
Record 
starting 
date 
Record 
ending 
date 
07/17/87 
09/30/94 
Average 
annual 
Precipitation 
(mm) 
Beatty 8 N NCDC: 
GS000100001221.001 
525,211 4,094,707 1,082 12/01/72 12/31/94 133 
Amargosa Farms NCDC: 
GS000100001221.001 
547,723 4,046,733 747 12/01/65 12/31/94 107 
4JA NTS: 
GS000200001221.002 
563,949 4,070,874 1,043 12/01/57 09/30/94 154 
40MN NTS: 
GS000200001221.002 
563,726 4,100,456 1,469 02/15/60 09/30/94 201 
Rock Valley NTS: 
GS000200001221.002 
571,477 4,059,840 1,036 02/01/63 09/30/94 155 
Cane Spring NTS: 
GS000200001221.002 
580,273 4,074,710 1,219 09/01/64 09/30/94 202 
Mid Valley NTS: 
GS000200001221.002 
574,182 4,091,296 1,420 09/01/64 09/30/94 195 
Tippipah Spring 
#2 
NTS: 
GS000200001221.002 
572,619 4,100,528 1,518 09/01/64 09/30/94 206 
Weather station 
#1 
USGS 
GS000208312111.001 
GS000208312111.003 
550,424 4,071,986 1,163 04/27/87 09/30/95 157 
Weather station 
#3 
USGS 
GS000208312111.001 
GS000208312111.003 
548,038 4,080,316 1,351 06/06/87 09/30/95 179 
Station name Data source 
UTM 
easting 
(m) 
UTM 
northing 
(m) 
Station 
elevation 
(m) 
Record 
starting 
date 
Record 
ending 
date 
Complete 
Record 
Average 
annual 
precipitation 
(mm) 
4JA NTS: 
GS000200001221.002 
563,949 4,070,874 1,043 12/01/57 09/30/94 131 
Area 12 Mesa NTS: 
GS000200001221.002 
569,533 4,115,294 2,283 03/11/59 10/04/94 315 

Table 6-2. Comparison of measured versus simulated daily mean discharge at stream-gaging sites for 
streamflow events in 1995 [cfs, cubic feet per second] (data source:GS941208312121.001; 
GS960908312121.001) 
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 
Lower Pagany Wash 
Measured 0.00 0.01 0.00 8.60 
Simulated 0.00 0.00 0.00 7.23 
Upper Pagany Wash 
Measured 0.00 1.70 0.00 12.00 
Simulated 0.34 0.00 0.13 9.46 
Upper Drillhole Wash 
Measured 0.00 0.00 0.00 5.00 
Simulated 1.55 0.00 0.00 9.33 
Upper Split Wash 
Measured 0.10 1.50 0.00 3.00 
Simulated 0.07 0.02 0.28 3.69 
Wren Wash 
Measured 0.66 0.96 0.00 2.60 
Simulated 0.71 0.19 0.70 3.92 
Table 6-3. Summary of developed daily climate input files used for modern climate scenarios 
[mm, millimeters] (data source: GS000208311221.001) 
Yucca Mountain 
calibrationdaily 
climate input 
4JAstochastic 
simulation 
Area 12 
MesaStochastic 
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 

Table 6-4. Summary of analog climate records used to develop the daily climate input for the upper 
bound monsoon climate scenario (data source: GS000100001221.001). 
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) 1162 1102 
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 precip. (mm) 414.0 417.6 
Mean January - March precip. (mm) 70.6 36.8 
Mean April - June precip. (mm) 20.3 120.9 
Mean July - September precip. (mm) 251.5 191.3 
Mean October - December precip. (mm) 78.5 140.2 
Maximum daily precip. (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 (Celsius) 15.8 16.8 
Mean October - March daily air temperature 
(Celsius) 
10.5 10.2 
Mean April - September daily air temperature 
(Celsius) 
21.2 23.2 

Table 6-5. Summary of analog climate records used to develop the daily climate input for the lower 
bound glacial transition climate scenario (data source: GS000100001221.001). 
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 precip. (mm) 219.5 197.9 
Mean January - March precip. (mm) 53.6 50.3 
Mean April - June precip. (mm) 71.9 55.6 
Mean July - September precip. (mm) 31.0 40.4 
Mean October - December precip. (mm) 70.1 67.8 
Maximum daily precip. (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 
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 

Table 6-6. Summary of analog climate records used to develop the daily climate input for the upper 
bound glacial transition climate scenario (data source: GS000100001221.001). 
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 06/1948 08/1889 08/1963 
Ending of record 12/1997 12/1997 12/1997 
Number of complete years of record 43 108 33 
Mean annual precip. (mm) 459.7 410.2 433.3 
Mean January - March precip. (mm) 138.7 125.5 125.2 
Mean April - June precip. (mm) 109.7 94.0 104.6 
Mean July - September precip. (mm) 56.9 51.3 56.1 
Mean October - December precip. (mm) 172.7 160.0 165.4 
Maximum daily precip. (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 

Table 6-7. Summary of INFIL simulation results used to develop spatially distributed net-infiltration 
estimates for modern climate scenarios [mm, millimeters] (GS000308311221.005) 
INFIL simulation results for the 123.7-km2 area of the net 
infiltration model domain 
INFIL simulation ID used for developing 
the modern 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 
Average annual 
precipitation 
(mm/year) 
Mean 189.3 187.7 182.8 342.8 
Maximum 282.9 280.6 273.3 512.4 
Minimum 148.0 146.8 143.0 268.1 
Average annual 
evapotranspiration 
(mm/year) 
Mean 182.7 185.5 181.8 326.8 
Maximum 571.9 652.3 689.1 788.8 
Minimum 61.9 51.1 50.6 83.4 
Average annual 
infiltrated surface 
water run-on 
(mm/year) 
Mean 6.0 2.7 1.6 15.1 
Maximum 1,514.4 669.6 599.7 4,343.8 
Minimum 0.0 0.0 0.0 0.0 
Average annual outflow (mm/year) 0.3 0.1 0.0 1.5 
Average annual net 
infiltration (mm/year) 
Mean 5.1 2.2 1.3 14.0 
Maximum 1,486.2 574.4 252.0 4,354.3 
Minimum 0.0 0.0 0.0 0.0 

Table 6-8. Estimation results for modern climate scenarios over the 123.7- km2 area of the infiltration 
model domain [mm, millimeters] [GS000308311221.005] 
Estimation results for modern climate scenarios for total 
area of infiltration model domain 
Modern climate scenario Lower bound Mean Upper bound 
Filename for spatial distribution results Modernl.dat Modernm.dat Modernu.dat 
Average annual 
precipitation (mm/year) 
Mean 185.8 188.5 265.6 
Maximum 282.2 281.8 397.1 
Minimum 148.0 147.4 207.8 
Average annual 
evapotranspiration 
(mm/year) 
Mean 184.8 184.1 255.5 
Maximum 571.9 612.1 700.5 
Minimum 54.7 56.5 71.5 
Average annual infiltrated 
surface water run-on 
(mm/year) 
Mean 2.1 4.4 9.7 
Maximum 474.2 994.1 2,669.0 
Minimum 0.0 0.0 0.0 
Average annual outflow (mm/year) 0.2 0.2 0.9 
Average annual net 
infiltration (mm/year) 
Mean 1.2 3.6 8.8 
Maximum 252.0 958.9 2,656.6 
Minimum 0.0 0.0 0.0 

Table 6-9. Estimation results for modern climate scenarios over the 38.7- km2 area of the 1999 UZ flow 
and transport model domain [mm, millimeters] [GS000308311221.005] 
Estimation results for modern climate scenarios for area of 
UZ flow and transport model domain 
Modern climate scenario Lower bound Mean Upper bound 
Filename for spatial distribution results Modernl.dat Modernm.dat Modernu.dat 
Average annual 
precipitation (mm/year) 
Mean 186.8 190.6 268.6 
Maximum 246.3 246.5 347.4 
Minimum 162.7 167.1 235.5 
Average annual 
evapotranspiration 
(mm/year) 
Mean 186.2 185.3 257.1 
Maximum 367.9 348.2 485.6 
Minimum 62.2 59.7 77.2 
Average annual infiltrated 
surface water run-on 
(mm/year) 
Mean 1.9 4.1 10.1 
Maximum 194.9 277.0 802.9 
Minimum 0.0 0.0 0.0 
Average annual outflow (mm/year) -0.7 -0.2 -0.3 
Average annual net 
infiltration (mm/year) 
Mean 1.3 4.6 11.1 
Maximum 218.8 263.6 784.9 
Minimum 0.0 0.0 0.0 

Table 6-10. Estimation results for modern climate scenarios over the 4.7- km2 area of the 1999 design 
potential repository area [mm, millimeters] [GS000308311221.005] 
Estimation results for modern climate scenarios for area of 
potential repository 
Modern climate scenario Lower bound Mean Upper bound 
Filename for spatial distribution results Modernl.dat Modernm.dat Modernu.dat 
Average annual 
precipitation (mm/year) 
Mean 191.6 196.9 277.5 
Maximum 204.1 209.9 295.8 
Minimum 178.2 183.4 258.5 
Average annual 
evapotranspiration 
(mm/year) 
Mean 191.7 189.9 260.4 
Maximum 252.9 273.3 423.0 
Minimum 155.0 154.7 203.0 
Average annual infiltrated 
surface water run-on 
(mm/year) 
Mean 1.0 3.4 8.1 
Maximum 59.8 161.1 454.8 
Minimum 0.0 0.0 0.0 
Average annual outflow (mm/year) -0.3 1.4 4.9 
Average annual net 
infiltration (mm/year) 
Mean 0.4 4.7 11.6 
Maximum 26.6 120.1 387.4 
Minimum 0.0 0.0 0.0 

Table 6-11. Summary of INFIL simulation results used to develop spatially distributed net-infiltration 
estimates for the upper bound monsoon climate scenarios [mm, millimeters] 
[GS000308311221.005] 
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 
Air temperature (Celsius) 
Mean annual 16.6 17.5 
Maximum daily 33.2 34.0 
Minimum daily -8.5 -13.7 
Average annual precipitation 
(mm/year) 
Mean 410.5 414.4 
Maximum 511.2 516.0 
Minimum 366.2 369.7 
Average annual snow fall 
(mm/year) 
Mean 1.3 12.2 
Maximum 33.7 44.9 
Minimum 0.0 2.4 
Average annual 
evapotranspiration (mm/year) 
Mean 386.3 386.3 
Maximum 814.7 818.8 
Minimum 107.9 90.8 
Average annual infiltrated 
surface water run-on (mm/year) 
Mean 19.9 16.3 
Maximum 2,884.9 2,306.4 
Minimum 0.0 0.0 
Average annual outflow (mm/year) 5.8 14.3 
Average annual net infiltration 
(mm/year) 
Mean 15.1 12.1 
Maximum 2,900.6 2,330.0 
Minimum 0.0 0.0 

Table 6-12. Estimation results for the monsoon climate scenarios over the 123.7- km2 area of the 
infiltration model domain [mm, millimeters] [GS000308311221.005] 
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 
Average annual 
precipitation (mm/year) 
Mean 188.5 300.5 412.5 
Maximum 281.8 397.7 513.6 
Minimum 147.4 257.7 368.0 
Average annual snow fall 
(mm/year) 
Mean n/a n/a 6.8 
Maximum n/a n/a 39.3 
Minimum n/a n/a 1.2 
Average annual 
evapotranspiration 
(mm/year) 
Mean 184.1 285.2 386.3 
Maximum 612.1 714.4 816.7 
Minimum 56.5 77.9 99.3 
Average annual infiltrated 
surface-water run-on 
(mm/year) 
Mean 4.4 11.2 18.1 
Maximum 994.1 1,794.9 2,595.7 
Minimum 0.0 0.0 0.0 
Average annual outflow (mm/year) 0.2 5.1 10.0 
Average annual net 
infiltration (mm/year) 
Mean 3.6 8.6 13.6 
Maximum 958.9 1,787.1 2,615.3 
Minimum 0.0 0.0 0.0 

Table 6-13. Estimation results for the monsoon climate scenarios over the 38.7-km2 area of the UZ flow 
and transport model domain [mm, millimeters] [GS000308311221.005] 
Estimation results for monsoon climate scenarios for area 
of UZ flow and transport model 
Monsoon climate scenario Lower bound Mean Upper bound 
Filename for spatial distribution results Monsoonl.dat Monsoonm.dat Monsoonu.dat 
Average annual 
precipitation (mm/year) 
Mean 190.6 302.7 414.8 
Maximum 246.5 360.9 475.4 
Minimum 167.1 278.2 389.3 
Average annual snow fall 
(mm/year) 
Mean n/a n/a 6.8 
Maximum n/a n/a 18.8 
Minimum n/a n/a 3.0 
Average annual 
evapotranspiration 
(mm/year) 
Mean 185.3 284.0 382.8 
Maximum 348.2 509.9 684.7 
Minimum 59.7 81.7 103.7 
Average annual infiltrated 
surface-water run-on 
(mm/year) 
Mean 4.1 12.2 20.4 
Maximum 277.0 642.7 1,018.2 
Minimum 0.0 0.0 0.0 
Average annual outflow (mm/year) -0.2 4.6 9.5 
Average annual net 
infiltration (mm/year) 
Mean 4.6 12.2 19.8 
Maximum 263.6 629.0 1,016.2 
Minimum 0.0 0.0 0.0 

Table 6-14. Estimation results for the monsoon climate scenarios over the 4.7-km2 area of the 1999 
design potential repository area [mm, millimeters] [GS000308311221.005] 
Estimation results for monsoon climate scenarios for area 
of potential repository 
Monsoon climate scenario Lower bound Mean Upper bound 
Filename for spatial distribution results Monsoonl.dat Monsoonm.dat Monsoonu.dat 
Average annual 
precipitation (mm/year) 
Mean 196.9 309.3 421.6 
Maximum 209.9 322.8 435.7 
Minimum 183.4 295.2 407.0 
Average annual snow fall 
(mm/year) 
Mean n/a n/a 7.7 
Maximum n/a n/a 10.9 
Minimum n/a n/a 5.3 
Average annual 
evapotranspiration 
(mm/year) 
Mean 189.9 281.7 373.5 
Maximum 273.3 466.4 666.0 
Minimum 154.7 217.8 277.1 
Average annual infiltrated 
surface-water run-on 
(mm/year) 
Mean 3.4 9.1 14.8 
Maximum 161.1 348.6 536.1 
Minimum 0.0 0.0 0.0 
Average annual outflow (mm/year) 1.4 13.2 25.1 
Average annual net 
infiltration (mm/year) 
Mean 4.7 12.5 20.3 
Maximum 120.1 267.0 413.8 
Minimum 0.0 0.0 0.0 

Table 6-15. INFIL simulation results used to develop spatially distributed net-infiltration estimates for the 
lower bound glacial transition climate scenario [mm, millimeters] [GS000308311221.005] 
INFIL simulation results for the 123.7-km2 area of the 
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 
Air temperature (Celsius) 
Mean annual 9.6 10.8 
Maximum daily 31.0 31.5 
Minimum daily -31.2 -24.9 
Average annual precipitation 
(mm/year) 
Mean 208.4 193.7 
Maximum 259.5 241.1 
Minimum 185.9 172.8 
Average annual snow fall 
(mm/year) 
Mean 30.7 27.6 
Maximum 118.8 100.0 
Minimum 8.5 9.9 
Average annual 
evapotranspiration (mm/year) 
Mean 201.1 188.1 
Maximum 542.6 508.9 
Minimum 68.1 79.0 
Average annual infiltrated 
surface-water run-on 
(mm/year) 
Mean 2.9 1.4 
Maximum 735.4 351.2 
Minimum 0.0 0.0 
Average annual mean outflow (mm/year) 0.0 0.0 
Average annual net infiltration 
(mm/year) 
Mean 2.9 1.4 
Maximum 559.7 228.0 
Minimum 0.0 0.0 

Table 6-16. INFIL simulation results used to develop spatially distributed net-infiltration estimates for the 
upper bound glacial transition climate scenario [mm, millimeters] [GS000308311221.005] 
INFIL simulation results for the 123.7-km2 area of 
the 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 
Air temperature (Celsius) 
Mean annual 9.0 9.2 9.9 
Maximum daily 33.5 31.8 30.1 
Minimum daily -25.4 -26.2 -26.0 
Average annual precipitation 
(mm/year) 
Mean 454.9 406.2 432.1 
Maximum 566.4 505.8 538.0 
Minimum 405.8 362.4 385.5 
Average annual snow fall 
(mm/year) 
Mean 67.5 74.3 44.0 
Maximum 288.0 265.9 209.5 
Minimum 19.1 25.6 13.7 
Average annual evapotranspiration 
(mm/year) 
Mean 411.5 374.4 399.0 
Maximum 773.8 770.4 751.0 
Minimum 122.2 113.8 112.9 
Average annual infiltrated surface-
water run-on (mm/year) 
Mean 31.4 24.2 25.3 
Maximum 9,092.6 7,044.8 6,308.7 
Minimum 0.0 0.0 0.0 
Average annual mean outflow (mm/year) 3.7 1.8 3.2 
Average annual net infiltration 
(mm/year) 
Mean 29.7 21.2 23.0 
Maximum 9,126.2 7,033.7 6,308.1 
Minimum 0.0 0.0 0.0 

Table 6-17. Estimation results for the glacial transition climate scenarios over the 123.7-km2 area of the 
infiltration model domain [mm, millimeters] [GS000308311221.005] 
Estimation results for glacial transition climate scenarios 
for total area of infiltration model domain 
Glacial transition climate scenario Lower bound Mean Upper bound 
Filename for spatial distribution results Glacialll.dat Glacialm.dat Glacialu.dat 
Mean annual air temperature (Celsius) 10.2 9.8 9.4 
Average annual 
precipitation (mm/year) 
Mean 201.0 316.1 431.1 
Maximum 250.3 393.5 536.8 
Minimum 179.4 282.0 384.6 
Average annual snow fall 
(mm/year) 
Mean 29.1 45.5 61.9 
Maximum 109.4 181.9 254.5 
Minimum 9.2 14.3 19.5 
Average annual 
evapotranspiration 
(mm/year) 
Mean 194.6 294.8 395.0 
Maximum 525.7 600.7 751.2 
Minimum 73.6 94.9 116.3 
Average annual infiltrated 
surface-water run-on 
(mm/year) 
Mean 2.2 14.6 27.0 
Maximum 524.3 3,913.2 7,482.0 
Minimum 0.0 0.0 0.0 
Average annual outflow (mm/year) 0.0 1.5 2.9 
Average annual net 
infiltration (mm/year) 
Mean 2.2 13.4 24.6 
Maximum 370.3 3,902.5 7,489.3 
Minimum 0.0 0.0 0.0 

Table 6-18. Estimation results for the glacial transition climate scenarios over the 38.7-km2 area of the 
UZ flow and transport model domain [mm, millimeters] [GS000308311221.005] 
Estimation results for glacial transition climate scenarios 
for area of UZ flow and transport model domain 
Glacial transition climate scenario Lower bound Mean Upper bound 
Filename for spatial distribution results Glacialll.dat Glacialm.dat Glacialu.dat 
Average annual 
precipitation (mm/year) 
Mean 202.2 317.8 433.5 
Maximum 231.7 364.3 496.8 
Minimum 189.8 298.3 406.9 
Average annual snow fall 
(mm/year) 
Mean 29.1 45.1 61.1 
Maximum 75.1 122.0 168.9 
Minimum 16.3 25.3 34.2 
Average annual 
evapotranspiration 
(mm/year) 
Mean 195.2 293.5 391.8 
Maximum 343.3 502.3 733.9 
Minimum 76.9 99.4 121.9 
Average annual infiltrated 
surface-water run-on 
(mm/year) 
Mean 1.7 15.6 29.6 
Maximum 193.1 1,301.1 2,586.2 
Minimum 0.0 0.0 0.0 
Average annual outflow (mm/year) -0.1 -0.2 -0.3 
Average annual net 
infiltration (mm/year) 
Mean 2.5 17.8 33.0 
Maximum 219.2 1,282.9 2,555.0 
Minimum 0.0 0.0 0.0 

Table 6-19. Estimation results for the glacial transition climate scenarios for the 4.7-km2 area of the 1999 
design potential repository area [mm, millimeters] [GS000308311221.005] 
Estimation results for glacial transition climate scenarios 
for area of potential repository 
Glacial transition climate scenario Lower bound Mean Upper bound 
Filename for spatial distribution results Glacialll.dat Glacialm.dat Glacialu.dat 
Average annual 
precipitation (mm/year) 
Mean 205.5 323.1 440.6 
Maximum 212.4 333.8 455.3 
Minimum 198.4 311.8 425.3 
Average annual snow fall 
(mm/year) 
Mean 32.5 50.3 68.1 
Maximum 42.0 65.2 88.3 
Minimum 24.9 37.8 50.7 
Average annual 
evapotranspiration 
(mm/year) 
Mean 197.5 287.8 378.1 
Maximum 279.4 477.8 688.6 
Minimum 171.0 219.3 265.3 
Average annual infiltrated 
surface-water run-on 
(mm/year) 
Mean 1.4 12.0 22.5 
Maximum 100.5 676.6 1,334.8 
Minimum 0.0 0.0 0.0 
Average annual outflow (mm/year) 0.3 8.0 15.6 
Average annual net 
infiltration (mm/year) 
Mean 2.2 19.8 37.3 
Maximum 116.3 591.0 1,181.4 
Minimum 0.0 0.0 0.0 

Table 7-1. Output Data Sets Generated in the Development and Application of the Net Infiltration Model 
Description Data Tracking Number 
Preliminary Estimates of Input Parameter Distributions Used for Infiltration Uncertainty GS000308311221.008 
Analysis 
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 GS000308311221.010 
Infiltration Uncertainty Analysis 
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 GS000308311221.006 
7.5 DEMs 
Yucca Mountain 1980-1995 Developed Daily Precipitation Record GS000208311221.001 
Preliminary Developed Daily Climate Data for Potential Future Monsoon and Glacial GS000208311221.002 
Transition Climates Using Records from Selected Analog Sites. 
Developed Matrix Hydrologic Properties Information MO0109HYMXPROP.001 

ATTACHMENT IIFIGURES
TOTAL PAGES
: 43
Percolation 
Unsaturated Zone 
Recharge 
Saturated Zone 
/
Net 
Transpiration Evaporation 
Precipitation 
Drainage 
Change in Storage 
Bedrock Soil 
Infiltration 
Run-onrunoff 
Redistribution 
Infiltration 
Boundary 
Figure 6-1. Field-scale water balance and processes controlling net infiltration (from Flint et al., 1996, 
Figure 3). 

Sublimation 
Net Infiltration 
Change in Root-Zone Water Content: 
If water content < water content at field capacity, 
change in water content = Rain + Run-on + Snowmelt - Evapotranspiration 
If water content < porosity > water content at field capacity, 
change in water content = Rain + Run-on + Snowmelt  Evapotranspiration 
- Net Infiltration 
Figure 6-2. The daily root-zone water-balance used to model net infiltration. 
Snowpack 
Run-on 
Snow 
Runoff 
Evapotranspiration 
Water Content 
Root-Zone 
Water Content 
Rain 
Snowmelt 

Geospatial Input 
Climate Input 
Location Root Zone Depth Initial Precipitation 
Elevation Vegetation Type 
Air Temperature 
Conditions 
Cloud Cover Geology Vegetation Cover 
Soil Type Stream Channels Water Content Day Number 
Input Potential 
Spatial-
Temporal Estimation Evapo-
Distribution 
transpiration 
Model 
Model 
Parameter
Table
Output 
Porosity Water 
Water Content 
Field Capacity Evapotranspiration 
Balance 
Residual Water Content Streamflow 
Soil Permeability 
Model Net Infiltration 
Bedrock Permeability 
Root Zone Coefficients 
Figure 6-3. Major components of the net-infiltration modeling process. 

15.0 
1993 1994 1995 
2.5 
5.0 
7.5 
DEPTH, INMETERS
0.05 0.10 0.15 0.20 0.25 0.30 
WATER CONTENT, IN METERS PER METER 
Figure 6-4. Measured water-content profiles at borehole UZN-15 for 1993-95 (DTN: 
GS940708312212.011, GS941208312212.017, GS950808312212.001, 
GS960108312212.001). 
10.0 
12.5 
alluv 
bedrock 

cccccrrssscstsrssrrrrtttstcctctct ttcctcccctcc 
ccccr rssssrct rrssrssrctcccccct tcccccccccctcct 
BOREHOLE TOPOGRAPHIC POSITION 
Figure 6-5. 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 (DTN: GS960508312212.008), compared to depth of alluvium at each 
borehole (DTN: GS960508312212.007). 
0 
20 
40 
60 
80 
0 
5 
10 
15 
20 
ium 
lll;;il;iDepth of 
alluvCacuated 
flux 
DOWNWARD FLUX, IN MILLIMETERS PER YEAR 
DEPTH OF ALLUVIUM, IN METERS BELOW LAND SURFACE 
c, Channe t, Terrace s, Sdesope r, Rdgetop 

(A) 
FEB MAR APR MAY JUN JUL AUG SEP 
(B) 
FEB MAR APR MAY JUN JUL AUG SEP 
ANL-NBS-HS-000032 REV 00 ICN 02 II7 October 2001 
0.01 
1 
10 
ii0.1 
100 
1,000 
WATER POTENTIAL, IN -BARS 
7.0 cm 15.0 cm 36.5 cm 73.7 cm 
Probe depth s from 
ground surface 
Depth to bedrock is 
73.7 centmeters 
0 0 
2 
4 
6 
8 
10 
12 
0.05 
0.1 
0.15 
0.2 
0.25 
0.3 
WATER CONTENT, IN METERS PER METER 
Selected 
Data 
Change in 
Water Content 
24-hr Data 
CHANGE IN WATER CONTENT, 
IN MILLIMETERS PER DAY 
Figure 6-6. Graphs of water-potential measurements near borehole USW UZ-N15 using heat dissipation 
probes, (DTN: GS960908312211.004), (A) measured at four depths for 1995 and (B) used 
to calculate flux. 

Open input/output files 
Provides daily values of turbidity, Call Atmospheric Input File circumsolar radiation, precipitable water, 
ozone, and albedo 
Day Loop 
Read Location File 
Call Energy Balance Subroutine Radiation, air temperature, 
energy load 
Call Precipitation Distribution Calculates precipitation for 
Subroutine elevation of grid location 
if precipitation, adjust energy balance based on volume
of precipitation
Call Snow Subroutine 
If air temperature < 0 C then add If air temperature > 0 C
precipitation to snowpack and snowpack > 0 C then generate
snowmelt and sublimation 
Call Root-Zone Water
Storage Subroutine
if precipitation > bulk permeability of soil then
add excess to runoff storage
Soil Layer Water
Redistribution Loop
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
Last soil layer? No 
Yes 
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
If soil water content > bedrock storage Drain as net infiltration at bulk 
permeability of bedrock 
No 
End of Locations? 
Yes
Runoff routing of runoff storage terms for all grid locations,
recalculate soil water content and storage terms.
Calculate total water balance
No End of Days? Yes Average results, send output 
to files, close all files 
Figure 6-7. Flow chart of the model algorithm used for simulating net infiltration. 
Iinitializaton Control File 
leLocation Input Fi

0.3 
0.4 
0.5 
0.6 
0.7 
0.8 
0.9 
-10 0 10 
l (1977) 
s/(Ss+gamma) 
Sss+gamma) 
20 30 40 
Air Temperature (Celsius) 
Table A.3, CampbelModeled S/(S
Figure 6-8. Relative effect of air temperature change on the modeled s/(s+.) term of the Priestley-
Taylor equation used for estimating potential evapotranspiration. (DTN: 
GS000300001221.009) 

Explanation 
Potential 
repository 
boundary 
ExploratoryStudies 
Facility 
main drift 
UZ flow 
and 
transport 
model 
area 
100 meter 
elevation 
contour 
neutronS logging 
boreholes 
#
#S 
#S#S#S#S#S#S#S#S#S 
#S 
#S #S#S#S#S#S#S 
#S#S#S#S#S#S#S#S 
#S 
#S#S#
S 
#S#S#S#S#S 
#S 
#S#S 
#S#S#S#S#S#S#S#
S#S#S#S#S#S#S#
S#
S#S 
#S#S#S#S 
#S#S 
#S#S 
#S#S 
#S#S#S 
#S 
#S#S#S#S#S#S#S 
#S#
S#S#S#S 
#S#S#S#S#S#S#S 
#S#SPagany Wash 
Forty-MileWash 
YuccaWash 
Drill Hole Wash 
SolitarioCanyon 
JetRidge 
PlugHillDuneWash 
Borehole 
N15 
Borehole 
N63 
Borehole 
N50 
Figure 6-9. Yucca Mountain DEM used to define the geospatial-input parameters and watershed 
modeling domains (DTN: GS000308311221.006). 

Flow 
la tio n 
f 
l c ells) 
0 
< 2 
2 - 5 
5 - 10 
10 -2 0 
20 -5 0 
5 0 -100 
1 00 -1,000 
1 ,00 0 -10,00 0 
1 0 ,0 00 - 50 0,00 0 
( 
Ac c u m u 
n um be r o 
up s t r e a m 
m ode 
Figure 6-10. Number of upstream cells indicating the numerical channel network. (see Attachment XI) 

546,000 548,000 550,000 552,000 554,000 
UTM Easting (meters) 
elevation contour interval = 50 meters 
0 
200 
400 
600 
800 
111114,072,000 4,074,000 4,076,000 4,078,000 4,080,000 4,082,000 4,084,000 4,086,000 
UTM Northing (meters) 
,000 
,200 
,400 
,600 
,800 
2,000 
Number of 
upstream 
model cells 
Figure 6-11. Isolation of the drainage networks overlying the area of the UZ flow and transport model. 
(see Attachment XI) 

Watershed 
modeling 
domains 
Yucca Wash 
Drill Hole Wash 
Dune Wash 
Solitario 
Canyon #1 
Plug Hill 
Jet Ridge #1 
Jet Ridge #2 
Jet Ridge #3 
Solitario 
Canyon #2 
4,072,000 4,074,000 4,076,000 4,078,000 4,080,000 4,082,000 4,084,000 4,086,000 
UTM Northing (meters) 
Figure 6-12. Location of 10 watershed model domains included in the composite watershed model area 
overlying the area of the UZ flow and transport model. (see Attachment XIII) 
546,000 548,000 550,000 552,000 554,000 Solitario 
UTM Easting (meters) Canyon #4 
elevation contour interval = 50 meters 

la s s 
id s 
ic H a plo c alcids 
ic H a plo c am bi ds 
ic T o rrio rthent s 
ic H a pl oca m bids 
ic T o rrip sa m m e n ts 
ic H a pl a rgi ds 
ic C a lcia r g id s 
D iSo i l C 
Ty pic A rgidur 
Ty p 
Ty p 
Ty p 
Lit h 
Ty p 
Lit h 
Ty p 
Ro c k 
s t u rbe d G rou nd 
Figure 6-13. Recombined soil classes used in the 1996 net-infiltration model (from Flint et al., 1996, 
Figure 14; DTN: GS000308311221.004). 

lil 
iScott and Bonk (1984) 
Sawyer et a. (1995) 
Day et al. (1998) 
GIS coverages 
of geology used 
to defne modenput parameters 
Figure 6-14. Overlay of the three geologic maps used to define rock types underlying the root zone and 
included in the bottom root-zone layer (Day et al., 1998, DTN: GS971208314221.003; Scott 
and Bonk, 1984, DTN: MO0003COV00095.000; Sawyer et al., 1995, DTN: 
GS000300001221.010) 

/
<10 
10 -20 
20 -50 
50 -100 
100 -200 
200 -500 
500 -1,000 
1,000 -5,000 
5,000 -100,000 
>100,000 
Field-scale 
saturated 
permeability 
underlying the 
root zone 
(mmyear) 
Figure 6-15. Estimated field-scale saturated hydraulic conductivity of bedrock or soils underlying the root 
zone (DTN: MO0109HYMXPROP.001 ). 

0.01 -0.1 
0.1 -0.2 
0.2 -0.3 
0.3 -0.4 
0.4 -0.5 
0.5 -1.0 
1.0 -3.0 
3.0 -6.0 
>6.0 
Estimated 
soil depth 
(meters) 
Figure 6-16. Estimated soil depth (DTN: GS960508312212.007) using the 1996 soil-depth class map 
and calculated land-surface slope (DTN: GS000308311221.004). 

ANL-NBS-HS-000032 REV 00 ICN 02 II18 October 2001 
40 -100 
100 -200 
200 -1,600 
1,600 -1,700 
1,700 -1,800 
1,800 -1,900 
1,900 -2,000 
Root-zone 
water-storage 
capacity 
(mm) 
Figure 6-17. Total water-storage capacity of the modeled root zone, including bedrock and soil layers 
(DTN: GS000308311221.004). 

0 
10 
20 
30 
40 
50 
60 
1 /1 //1 //2 //2 //3 //3 //4 //4 /9480 1 82 1 84 1 86 1 88 1 90 1 92 1 
Da te 
Figure 6-18. Developed 198095 daily precipitation record used as input for model calibration (DTN: 
GS000208311221.001). 

Calibration 
and testing 
watershed 
UTM Northing (meters) 
4,072,000 4,074,000 4,076,000 4,078,000 4,080,000 4,082,000 4,084,000 4,086,000 
models 
Wren Wash 
Upper Drill 
Hole Wash 
Upper 
Pagany Wash 
Lower 
Pagany Wash 
Split Wash 
T1 Wash 
Stream-
flow 
546,000 548,000 550,000 552,000 554,000 gages 
UTM Easting (meters) 
Figure 6-19. Location of stream-gaging sites and calibration watersheds defined by the gaging sites (DTN: 
GS960908312121.001, GS941208312121.001). 

1984 1986 1988 1990 1992 1994 
(B)0.25 
0.2 
0.15 
0.1 
0.05
0
1991 1992 1993 1994 1995
(A) USW UZ-N50 and (B) UE-25 UZN #63 (DTN: GS940708312212.011, 
GS941208312212.017, GS950808312212.001, GS960108312212.001). 
ANL-NBS-HS-000032 REV 00 ICN 02 II21 October 2001 
0.05 
0.1 
0.15 
0.2 
0.25 
VOLUMETRIC WATER CONTENT 
Simulated MeasuredUSW UZ-N50 
(A) 
VOLUMETRIC WATER CONTENT 
Simulated MeasuredUE-25 UZN #63 
Figure 6-20. Graphs of comparisons of simulated net infiltration using water content in neutron boreholes 

500 
Simulated Simulated Measured at 
(no enhancement) (30-percent enhancement)weather stations400 
300 
200 
100AVERAGE ANNUAL PRECIPITATION, IN MILLIMETERS0 
1984 1986 1988 1990 1992 1994 1996 
Figure 6-21. Graph of average annual precipitation simulated at each borehole using precipitation record 
for 1980-95 (DTN: GS000208311221.001), and simulated with a 30-percent enhancement in 
the channel grid blocks only, compared to developed precipitation record distributed 
geostatistically to each borehole. 

Title: Simulation of Net Infiltration for Modern and Potential Future Climates 
ANL-NBS-HS-000032 REV 00 ICN 02II23October 200130501002003000.010.11101001,000PRECIPITATION, IN MILLIMETERSNET NFILTRATION, IN MILLIMETERS PER YEAREXPLANATIONMean annual net infiltration (measured)
Simulated (no enhancement)
Simulated (30-percent enhancement)
Regression (measured)
Regression (no enhancement)
Regression (30-percent enhancement)
Figure 6-22.Graph of precipitation (DTN: GS000208311221.002) relative to infiltration simulated for eachborehole with no channel-enhancement factor and with 30-percent channel-enhancementfactor, and mean annual infiltration (DTN: GS960508312212.008) for all boreholes.

/
Average 
precipitation 
rate 
(mmyear) 
140 -160 
160 -180 
180 -200 
200 -220 
220 -240 
240 -260 
> 260 
Figure 6-23. Estimated precipitation (mm/year) for the mean modern climate scenario (DTN: 
GS000208311221.001). 

/
Evapotranspiration 
rate 
(mmyear) 
0 -140 
140 - 160 
160 - 170 
170 - 180 
180 - 190 
190 - 200 
200 - 220 
220 - 240 
240 - 300 
300 - 400 
400 - 700 
Figure 6-24. Estimated evapotranspiration (mm/year) for the mean modern climate scenario (DTN: 
GS000308311221.005). 

If/) 
0 
nfiltrated 
surace-w ater 
run-on 
(m m year0-1 
1 -5 
5 -10 
10 - 2 0 
20 - 5 0 
50 - 1 0 0 
10 0 -50 0 
50 0 -1, 000 
> 1 ,0 0 0 
Figure 6-25. Estimated surface-water run-on depth (mm/year) for the mean modern climate scenario (DTN: 
GS000308311221.005). 

li/ ) 
0 
< 1 
10 20 
20 50 
50 100 
Me a n 
mo d e rn c m a te 
ne t 
In filt r a tio n 
(m m y e a r 
1 -5 
5 -1 0 
10 0 -50 0 
50 0 -1, 000 
> 1 ,0 0 0 
Figure 6-26. Estimated net infiltration (mm/year) for the mean modern climate scenario (DTN: 
GS000308311221.005). 

ANL-NBS-HS-000032 REV 00 ICN 02 II28 October 2001 
0 
0 -1 
1 -5 
5 -10 
10 - 20 
20 - 50 
50 - 100 
100 - 500 
500 - 1,000 
> 1,000 
Lower bound 
modern climate 
net 
infiltration 
(mm/year) 
Figure 6-27. Estimated net infiltration (mm/year) for the lower bound modern climate scenario (DTN: 
GS000308311221.005). 

l0 
Upper bound 
modern cimate 
net 
Infiltration 
(mm/year) 
0 -1 
1 -5 
5 -10 
10 - 20 
20 - 50 
50 - 100 
100 -500 
500 -1,000 
> 1,000 
Figure 6-28. Estimated net infiltration (mm/year) for the upper bound modern climate scenario (DTN: 
GS000308311221.005). 

ANL-NBS-HS-000032 REV 00 ICN 02 II30 October 2001 
0 
cli/
0 -1 
1 -5 
5 -10 
10 -20 
20 -50 
50 -100 
100 -500 
500 -1,000 
> 1,000 
Mean 
monsoon 
mate net 
infiltration 
(mmyear) 
Figure 6-29. Estimated net infiltration (mm/year) for the mean monsoon climate scenario (DTN: 
GS000308311221.005). 

net iilion 
/) 
0 
Upper bound 
monsoon climate 
nftrat(mmyear0 -1 
1 -5 
5 -10 
10 -20 
20 -50 
50 -100 
100 -500 
500 -1,000 
> 1,000 
Figure 6-30. Estimated net infiltration (mm/year) for the upper bound monsoon climate scenario (DTN: 
GS000308311221.005). 

iin f t 
f t 
/ ) 
0 
U ppe r b o u n d 
m ons o o n clm at e 
ilt r a e d 
su r ac e-w a e r 
r u n-on 
(m m y e a r 
0 -1 
1 -5 
5 -10 
10 - 20 
20 - 50 
50 - 100 
100 -50 0 
500 -1, 000 
> 1 ,0 0 0 
Figure 6-31. Infiltrated surface-water run-on depth (mm/year) for the upper bound monsoon climate 
scenario (DTN: GS000308311221.005). 

ial 
itilii(mm/) 
280 -290 
290 -300 
300 -310 
310 -320 
320 -330 
330 -340 
340 -360 
360 -380 
380 -400 
Mean glactranson cmate 
precipitaton 
year
Figure 6-32. Precipitation (mm/year) for the mean glacial transition climate scenario (DTN: 
GS000208311221.002). 

20 - 40 
40 - 60 
60 - 80 
80 - 100 
l 
ilt e 
tit 
f a ll 
/) 
0 -2 0 
100 -12 0 
120 -14 0 
140 -19 0 
M e an glacia 
tra n s tio n c im a 
w a e r equ v ale n 
sn o w 
(m m y e a r 
Figure 6-33. Water-equivalent snowfall depth (mm/year) for the mean glacial transition climate scenario 
(DTN: GS000308311221.005). 

lac ia l 
tition c littira te 
/) 
0 -2 0 0 
20 0 -2 6 0 
26 0 -2 8 0 
28 0 -2 9 0 
29 0 -3 0 0 
30 0 -3 2 0 
32 0 -3 4 0 
34 0 -4 0 0 
40 0 -6 0 0 
M e an g 
ra n s m ate 
e v ap o r a ns pir a o n 
(m m y e a r 
Figure 6-34. Evapotranspiration (mm/year) for the mean glacial transition climate scenario (DTN: 
GS000308311221.005). 

0 
10 20 
20 50 
50 100 
In ff t/) 
0 -1 
1 -5 
5 -1 0 
10 0 -50 0 
50 0 -1, 00 0 
> 1 ,0 0 0 
iltr a te d 
su r ac e -w a e r 
r u n-on 
(m m y e a r 
Figure 6-35. Estimated infiltrated surface-water run-on depth (mm/year) for the mean glacial transition 
climate scenario (DTN: GS000308311221.005). 

0 
102050ia l 
itt 
in filt/) 
0 -1 
1 -5 
5 -1 0 
-2 0 
-5 0 
-1 00 
10 0 -5 0 0 
50 0 -1 , 00 0 
> 1 ,0 0 0 
M ean glac 
tr a n s tio n 
c lim a e n e 
ra tio n 
(m m y e a r 
Figure 6-36. Estimated net infiltration (mm/year) for the mean glacial transition climate scenario (DTN: 
GS000308311221.005). 

0 
10 20 
20 50 
50 g 
lia l tition 
clitt 
ti/) 
0 -1 
1 -5 
5 -10 
10 0 
10 0 -5 0 0 
50 0 -1 , 00 0 
> 1 ,0 0 0 
Lo w e r bo un d 
a c ran s 
m a e n e 
in filtra o n 
(m m y e a r
Figure 6-37. Estimated net infiltration (mm/year) for the lower bound glacial transition climate scenario 
(DTN: GS000308311221.005). 

0 
10 20 
50 
g 
liiit 
sur f t/) 
0 -1 
1 -5 
5 -1 0 
2 0 
5 0 
1 0 0 
1 00 - 500 
> 5 0 0 
Lo w e r b o un d 
a c a l tr a n s tio n 
n filr a te d 
ace w a e r 
r u n-on 
(m m y e a r 
Figure 6-38. Estimated infiltrated surface-water run-on depth (mm/year) for the lower bound glacial 
transition climate scenario (DTN: GS000308311221.005). 

0 
glaciiclion 
/) 
0 -1 
1 -5 
5 -10 
10 - 20 
20 - 50 
50 - 100 
100 -500 
500 -1,000 
> 1,000 
Upper bound 
al transtion 
imate net 
infiltrat(mmyear
Figure 6-39. Estimated net infiltration (mm/year) for the upper bound glacial transition climate scenario 
(DTN: GS000308311221.005). 

0 
glial iticliil/
0 -1 
1 -5 
5 -10 
10 -20 
20 -50 
50 -100 
100 -500 
500 -1,000 
> 1,000 
Upper bound 
actranson 
mate Inftrated 
surface water 
run-on 
(mmyear) 
Figure 6-40. Estimated infiltrated surface-water run-on depth (mm/year) for the upper bound glacial 
transition climate scenario (DTN: GS000308311221.005). 

Figure 6-41. Comparison of INFIL V2.0 simulated average net-infiltration rates (DTN: 
GS000308311221.005) at Yucca Mountain (upper bound, lower bound, and mean for three 
climates) with an estimate of the average Holocene recharge rate for the saturated zone at 
Yucca Mountain [CRWMS M&O, 2000c] and with estimates of recharge in the southern Great 
Basin obtained using alternative methods (Maxey and Eakin, 1950; Lichty and McKinley, 1995; 
Winograd, 1981). 
Model Comparison 
0.1 
1 
10 
100 
1000 
150 200 250 300 350 400 450 500 550 600 650 
Precipitation (mm/year) 
Maxey and Eakin (estimated recharge) 
Modern (INFIL simulated net infiltration) 
Monsoon (INFIL simulated net infiltration) 
Glacial Transition (INFIL simulated net infiltration) 
Lichty and McKinley (estimated recharge) 
Winograd (estimated recharge) 
CRWMS M&O 2000c (chloride mass balance) 

1.E+03 
1.E+05 
1.E+07 
1.E+09 
1.E+04 1.E+06 1.E+08 1.E+10 
Average Annual Precipitation, in m3 
Maxey-Eakin 
INFIL 1980-1995 Calibration Record Input 
INFIL Rosalia Analog Climate Record Input 
Chloride Mass Balance 
Figure 6-42. Comparison of various methods to estimate recharge in the Death Valley region and Yucca 
Mountain with model results from INFIL V2.0 (DTN: GS000308311221.005), as a function of 
average annual precipitation. 

ATTACHMENT III
YUCCA MOUNTAIN 1980-95 DEVELOPED DAILY PRECIPITATION RECORD
TOTAL PAGES: 30

Yucca Mountain 1980-95 Developed Daily Precipitation Record 
1. 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. 
2. 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, Figure 19, DTN: 
GS960908312211.003). 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 weatherstations WX1 and WX3.
GS960908312111.004 (1995 water year)
GS970108312111.001 (Oct. 1- Dec. 3, 1995)
GS000208312111.003 (1987-1989, non-Q)
GS000208312111.001 (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. 
National Weather Service (NWS) stations at Beatty 8N and Amargosa Farms, from the 
National Climate Data Center and available through EarthInfo (see information provided in 
DTN: GS000100001221.001). 
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 potential repository 
area. Daily precipitation estimates for 1988 through 1995 were developed using the mean of 
the data from the Yucca Mountain weatherstations. For 1980 through 1987, daily 
precipitation was estimated using a linear interpolation model and available precipitation 
records from the six Nevada Test Site (NTS) monitoring sites and the two National Weather 
Service (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). 
Table III-1 is the developed data precipitation record for Yucca Mountain that was used 
directly as input for INFIL V2.0. 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. 
3. 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  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 1/1/80 through 12/31/94. 
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. The equation is: 
Weighting factori = (1/di2)/(Si (1/(di i2)) 
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. 
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: 
PPTYM = 0.946546 * ([(1/di2)/Si (1/(di2))] PPTi*)+0.0821 
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 III-1. Developed data precipitation record for Yucca Mountain that was used directly as input 
for INFIL V2.0. (data source: GS000208311221.001) 
Daily Daily Daily Daily Daily 
Day Precip-Day Precip-Day Precip-Day Precip-Day Precip-
of 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 
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 

Daily Daily Daily Daily Daily 
Day Precip-Day Precip-Day Precip-Day Precip-Day Precip-
of 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 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 
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 

Table III-1. Developed data precipitation record for Yucca Mountain that was used directly as input for 
INFIL V2.0 (cont.) 
Daily Daily Daily Daily Daily 
Day Precip-Day Precip-Day Precip-Day Precip-Day Precip-
of 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 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 
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 

Daily Daily Daily Daily Daily 
Day Precip-Day Precip-Day Precip-Day Precip-Day Precip-
of 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 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 

Table III-1. Developed data precipitation record for Yucca Mountain that was used directly as input for 
INFIL V2.0 (cont.) 
Daily Daily Daily Daily Daily 
Day Precip-Day Precip-Day Precip-Day Precip-Day Precip-
of 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 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 
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 

Daily Daily Daily Daily Daily 
Day Precip-Day Precip-Day Precip-Day Precip-Day Precip-
of 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 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 
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 

Table III-1. Developed data precipitation record for Yucca Mountain that was used directly as input for 
INFIL V2.0 (cont.) 
Daily Daily Daily Daily Daily 
Day Precip-Day Precip-Day Precip-Day Precip-Day Precip-
of 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 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 
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 

Daily Daily Daily Daily Daily 
Day Precip-Day Precip-Day Precip-Day Precip-Day Precip-
of 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 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 
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 

Table III-1. Developed data precipitation record for Yucca Mountain that was used directly as input for 
INFIL V2.0 (cont.) 
Daily Daily Daily Daily Daily 
Day Precip-Day Precip-Day Precip-Day Precip-Day Precip-
of 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 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 
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 

Daily Daily Daily Daily Daily 
Day Precip-Day Precip-Day Precip-Day Precip-Day Precip-
of 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 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 

Table III-1. Developed data precipitation record for Yucca Mountain that was used directly as input for 
INFIL V2.0 (cont.) 
Daily Daily Daily Daily Daily 
Day Precip-Day Precip-Day Precip-Day Precip-Day Precip-
of 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 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 
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 

Daily Daily Daily Daily Daily 
Day Precip-Day Precip-Day Precip-Day Precip-Day Precip-
of 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 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 
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 

Table III-1. Developed data precipitation record for Yucca Mountain that was used directly as input for 
INFIL V2.0 (cont.) 
Daily Daily Daily Daily Daily 
Day Precip-Day Precip-Day Precip-Day Precip-Day Precip-
of 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 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 
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 

Daily Daily Daily Daily Daily 
Day Precip-Day Precip-Day Precip-Day Precip-Day Precip-
of 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 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 
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 

Table III-1. Developed data precipitation record for Yucca Mountain that was used directly as input for 
INFIL V2.0 (cont.) 
Daily Daily Daily Daily Daily 
Day Precip-Day Precip-Day Precip-Day Precip-Day Precip-
of 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 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 
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 

Daily Daily Daily Daily Daily 
Day Precip-Day Precip-Day Precip-Day Precip-Day Precip-
of 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 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 

Table III-1. Developed data precipitation record for Yucca Mountain that was used directly as input for 
INFIL V2.0 (cont.) 
Daily Daily Daily Daily Daily 
Day Precip-Day Precip-Day Precip-Day Precip-Day Precip-
of 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 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 
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 

Daily Daily Daily Daily Daily 
Day Precip-Day Precip-Day Precip-Day Precip-Day Precip-
of 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 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 
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 

Table III-1. Developed data precipitation record for Yucca Mountain that was used directly as input for 
INFIL V2.0 (cont.) 
Daily Daily Daily Daily Daily 
Day Precip-Day Precip-Day Precip-Day Precip-Day Precip-
of 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 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 
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 

Daily Daily Daily Daily Daily 
Day Precip-Day Precip-Day Precip-Day Precip-Day Precip-
of 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 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 
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 

Table III-1. Developed data precipitation record for Yucca Mountain that was used directly as input for 
INFIL V2.0 (cont.) 
Daily Daily Daily Daily Daily 
Day Precip-Day Precip-Day Precip-Day Precip-Day Precip-
of 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 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 
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 

Daily Daily Daily Daily Daily 
Day Precip-Day Precip-Day Precip-Day Precip-Day Precip-
of 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 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 

Table III-1. Developed data precipitation record for Yucca Mountain that was used directly as input for 
INFIL V2.0 (cont.) 
Daily Daily Daily Daily Daily 
Day Precip-Day Precip-Day Precip-Day Precip-Day Precip-
of 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 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 
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 

Daily Daily Daily Daily Daily 
Day Precip-Day Precip-Day Precip-Day Precip-Day Precip-
of 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 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 
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 

Table III-1. Developed data precipitation record for Yucca Mountain that was used directly as input for 
INFIL V2.0 (cont.) 
Daily Daily Daily Daily Daily 
Day Precip-Day Precip-Day Precip-Day Precip-Day Precip-
of 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 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 
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 

Daily Daily Daily Daily Daily 
Day Precip-Day Precip-Day Precip-Day Precip-Day Precip-
of 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 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 
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 

ATTACHMENT IV
GEOSPATIAL INPUT DATA FOR INFIL V2.0 FY99
TOTAL PAGES: 16

Geospatial Input Data for INFIL V2.0 FY99 
1. 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. 
2. 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.INF (DTN:
GS960508312212.007, GS000308311221.006)
(7) 
Soil depth class: soil depth map (DTN: GS960508312212.007), INFIL V2.0 control file 
INFILS5o.CTL, and 30MSITE.INP (DTN: GS000308311221.006) 
(8) 
Modeled soil depth: soil depth class (DTN: GS960508312212.007), 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)], (DTN: GS971208314221.003) 
(10) 
Topographic position: INFIL V2.0 control file INFILS5o.CTL 
(11) 
Blocking ridges: 30MSITE.INP (DTN: GS000308311221.006), BLOCKR7 V1.0 
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 6-12 (Attachment II). 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) (see Table IV-1). An 
abbreviated example of the files is shown in Table IV-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 IV-3). 
Part 3 is the soil properties (Table IV-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 Campbell 
(1985). 
Part 1: Geospatial input for each of 10 drainages 
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). The DEM is a regular 2-dimensional grid of 253,597 
cells having dimensions of 30 x 30 meters 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 meters 
easting and 4,067,133 meters northing. Grid locations are also defined using geographic 
coordinates, latitude and longitude in decimal degrees, which were calculated in ARCINFO and 
used as input for the SOLRAD sub-model 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 identifer 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, Table 3, DTN: 
GS960908312211.003). When encountered in INFIL it uses a lookup table (INFILS5o.CTL) that 
has all hydrologic parameters for each soil type as listed in Flint et al. (1996). 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, 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, Table 2). Depth class #1 identifies locations with 
soil depths ranging from 0 to 0.5 meters and primarily occurs in rugged upland areas. Depth class 
#2 identifies deeper soils ranging from 0.5 to 3.0 meters 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 meters. Depth class #4 identifies deep soils with depths 
of 6 meters 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) 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) . Depth class #6 occurs where Scott and Bonk 
(1984) mapped bedrock and Day et al. (1998) mapped deep alluvium. A compromise for this depth 
class was chosen as 3-6 m. The soil depth classes were used to estimate soil 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). 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 
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 
D = 0.4, S  32 

and the model for depth class # 3 is defined by: 
D = 6 - (0.16 * S), S  25 
D = 2.0 
For depth class #4, soil depth is set to a uniform depth of 6 meters. 
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 IV-3. Bedrock geology was defined 
for each grid element using three ARCINFO map 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), the Preliminary Geologic 
Map of Yucca Mountain by Scott and Bonk (1984), and the Geologic Map of the Topopah Spring 
Northwest Quadrangle by Sawyer et al. (1995) . Within the UZ flow and transport 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). 
Bedrock geology for the northern and southern perimeter sections of the UZ flow and transport 
model area is defined by Scott and Bonk (1984). 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 AMR. 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.
The 36 blocking ridge angles (degrees inclination above horizontal) are calculated at each 10degree 
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-degree 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 IV-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 from Buesch et al. (1996). The determination of 
corresponding lithostratigraphic unit is typically straightforward based on description. The column 
with corresponding hydrogeologic unit is based on Flint (1998 Table 1 and DTN: 
MO0109HYMXPROP.001 ) and incorporates data from analyses of samples of most of the rock 
types for saturated hydraulic conductivity (DTN: MO0109HYMXPROP.001 ). Saturated hydraulic 
conductivity (Ks) on individual core samples was determined on subsamples from several boreholes 

(DTN: GS990408312231.001, GS960808312231.001, GS960808312231.005). 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. 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, 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 1% 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 in 
Flint et al., 1996) and the mean saturated hydraulic conductivity of the bedrock matrix for that rock 
type (Flint, 1998, Table 7; DTN: MO0109HYMXPROP.001 ). 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 desities for each rock type 
that were used to calculate the bulk bedrock hydraulic conductivities were estimated from field 
observations and, subsequently, were corroborated by the fracture density data from boreholes 
NRG-4, NRG-5, NRG-6, NRG-7, SD-9 and SD-12 reported in Altman et al. (1996, Table 3-6, 
DTN: SNSAND96081900.000). 
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, 
GS950608312231.008, GS960808312231.005, GS960808312231.003, MO0109HYMXPROP.001, 
GS990408312231.001, GS000408312231.003, GS000508312231.005, and GS000508312231.006. 
These are also included in Section 8.4. Outliers and inappropriate data 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 data 
base 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 attachment pertaining to the development of parameters 
for geospatial input for the net-infiltration model are also included in Section 8.4. 
were analysed and data were submitted in the following data packages: DTN: 
GS920508312231.012, GS930108312231.006, GS940408312231.004, GS000408312231.004, 
GS940508312231.006, GS950408312231.004, GS950408312231.005, GS950308312231.003, 
GS951108312231.009, GS951108312231.011, GS951108312231.010, GS950308312231.002, 
GS960808312231.004, GS950608312231.006, GS960808312231.002, GS960808312231.001, 

Part 3: Properties for 10 soil units 
The properties in Table IV-4 represent soils located around Yucca Mountain, Nevada. Bulk density, 
porosity, and rock fragment content were measured using laboratory analyses described in Flint and 
others (1996, p. 41). The source data for these measured properties were submitted under the 
following DTNs: 
GS950708312211.002 -FY94 and FY95 Laboratory Measurements of Physical Properties of 
Surficial Materials at Yucca Mountain, Nevada. 
GS960108312211.001 - FY95 Lab Measurements of Physical Properties of Surficial Material, at 
Yucca Mountain, NV PART II 
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 
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 (<2 mm) by using Equation 6.12 
of Campbell (1985). Log-log water-characteristic curves were determined using Equations 2.15, 
2.16, 2.17, 2.18, 5.10, and 5.11 of Campbell (1985) 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 IV-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 IV-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 Campbell (1985, eq. 2.15) and with the model predictions of hydraulic 
properties made using Campbell (1985, eqs. 5.10 and 5.11), which is developed for <2-mm particle 
sizes. The results indicated an adequate correlation to use textural data for particle sizes < 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) 
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 IV-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 < 0.5 m deep (Flint et al., 1996, 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 Campbell (1985). 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, 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 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 in Flint et al. (1996, Figure 16D). 
These parameters are those listed in Table IV-4. 

Table IV-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 

Table IV-2. Example of output found in files used as geospatial input for INFIL V2.0. (DTN: 
GS000308311221.004) 
Slope Aspect Modeled Blocking Blocking
Grid cell (degrees (degrees Soil type Depth class 
soil depth 
Rock type Topographic
inclination position ridge angle ridge angle
identifier from identifier identifier identifier
59985 9 197 5
60288 9 199 5
60879 8 201 5
61172 10 109 5
61179 8 196 5
61794 20 259 5
61795 10 108 5
62076 10 108 5
62077 9 193 5
62706 19 259 5
62707 19 263 5
62708 10 108 5
62711 12 197 5
63010 18 258 5
63011 10 112 5
63573 18 248 5
63574 9 125 5
10.4817 4 21 
10.4817 4 21 
10.4617 5 21 
10.517 4 21 
10.4617 5 21 
10.3318 4 35 
10.517 4 21 
10.517 4 21 
10.4817 4 21 
10.3518 4 59 
10.3518 4 67 
10.517 4 21 
10.4717 4 21 
10.3618 4 56 
10.517 5 21 
10.3618 4 56 
10.4817 5 21 
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) 
59985 545681 4076613 36.8361 116.4877 375 35 -3 0 1393 
60288 545681 4076583 36.8359 116.4877 376 35 62707 0 1392 
60879 545681 4076553 36.8356 116.4877 377 35 63010 0 1390 
61172 545711 4076613 36.8361 116.4874 375 36 -3 0 1389 
61179 545681 4076523 36.8353 116.4877 378 35 63573 0 1389 
61794 545651 4076613 36.8361 116.488 375 34 -3 0 1387 
61795 545711 4076583 36.8359 116.4874 376 36 -3 0 1387 
62076 545711 4076553 36.8356 116.4874 377 36 -3 0 1386 
62077 545681 4076493 36.835 116.4877 379 35 65103 0 1386 
62706 545651 4076583 36.8359 116.488 376 34 -3 1 1384 
62707 545651 4076553 36.8356 116.488 377 34 66960 1 1384 
62708 545711 4076523 36.8353 116.4874 378 36 -3 0 1384 
62711 545681 4076463 36.8348 116.4877 380 35 67273 0 1384 
63010 545651 4076523 36.8353 116.4881 378 34 67584 1 1383 
63011 545711 4076493 36.835 116.4874 379 36 -3 0 1383 
63573 545651 4076493 36.835 116.4881 379 34 68785 1 1381 
63574 545711 4076463 36.8348 116.4874 380 36 -3 0 1381 
from 12 
horizontal) 
northing) (m) 

Table IV-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.[F/m, fractures per 
meter; mm/d, millimeters per day.] (DTN: GS000308311221.004) 
Geologic descriptions from sources Bulk Bedrock 
Saturated 
Geologic 
Identifier Source 
Formation Lithology 
Corresponding 
lithostratigr 
aphic unit 
Corresponding 
hydrogeolo 
gic unit 
Estimated 
Fracture 
density 
(F/m) 
Hydraulic 
Conductivity 
w/filled 250um 
fractures 
(mm/d) 
Rhyolite of 
2 Scott and Bonk (1984) Pinnacles Ridge Lava flows Tptrv1 TC 25.0 0.41 
Rhyolite of 
3 Scott and Bonk (1984) Pinnacles Ridge Pyroclastic rocks Tpbt2 BT3 0.5 46.66 
Rhyolite of Comb 
4 Scott and Bonk (1984) Peak Lava flows Tpcpll CW 7.0 0.09 
Rhyolite of Comb 
5 Scott and Bonk (1984) Peak Pyroclastic rocks Tpbt3 BT3 0.5 46.66 
Rhyolite of Vent 
6 Scott and Bonk (1984) Pass Lava flows Tptrv1 TC 25.0 0.41 
Rhyolite of Vent 
7 Scott and Bonk (1984) Pass Pyroclastic rocks Tpbt3 BT3 0.5 46.66 
Rhyolite of Black 
8 Scott and Bonk (1984) Glass Canyon Lava flows Tpcpll CW 7.0 0.09 
Rhyolite of Black 
9 Scott and Bonk (1984) Glass Canyon Pyroclastic rocks Tpbt3 BT3 0.5 46.66 
Basalt Dikes of 
10 Scott and Bonk (1984) Yucca Mountain Welded Tpcplnc CW 7.0 0.09 
Timber Mountain Welded ash-flow 
11 Scott and Bonk (1984) Tuff-Rainier Mesa tuff Tptpmn TMN 5.0 0.06 
Timber Mountain Nonwelded ash12 
Scott and Bonk (1984) Tuff-Rainier Mesa flow tuff Tpcpv1 CNW 6.0 2.74 
13 Scott and Bonk (1984) Bedded Tuff Bedded Tuff Tpbt4 BT4 0.5 13.83 
Rhyolite of Windy 
14 Scott and Bonk (1984) Wash Lava flows Tpcpll CW 7.0 0.09 
Rhyolite of Windy 
15 Scott and Bonk (1984) Wash Pyroclastic rocks Tpbt3 BT3 0.5 46.66 
16 Scott and Bonk (1984) Tiva Canyon Tuff Undifferentiated Tpcpll CW 7.0 0.09 
17 Scott and Bonk (1984) Tiva Canyon Tuff Caprock Tpcrv TC 20.0 0.35 
18 Scott and Bonk (1984) Tiva Canyon Tuff Upper cliff Tpcrn CUC 5.0 3.34 
19 Scott and Bonk (1984) Tiva Canyon Tuff Upper lithophysal Tpcpul CUL 5.0 1.13 
20 Scott and Bonk (1984) Tiva Canyon Tuff Clinkstone Tpcpmn CW 5.0 0.06 
21 Scott and Bonk (1984) Tiva Canyon Tuff Lower cliff Tpcpmn CW 5.0 0.06 
22 Scott and Bonk (1984) Tiva Canyon Tuff Clinkstone Tpcpmn CW 5.0 0.06 
23 Scott and Bonk (1984) Tiva Canyon Tuff Clinkstone Tpcpmn CW 5.0 0.06 
24 Scott and Bonk (1984) Tiva Canyon Tuff Clinkstone Tpcpmn CW 5.0 0.06 
25 Scott and Bonk (1984) Tiva Canyon Tuff Middle lithophysal Tpcpmn CW 5.0 0.06 
26 Scott and Bonk (1984) Tiva Canyon Tuff Clinkstone Tpcpmn CW 5.0 0.06 
27 Scott and Bonk (1984) Tiva Canyon Tuff Rounded step Tpcpmn CW 5.0 0.06 
28 Scott and Bonk (1984) Tiva Canyon Tuff Lower Lithophysal Tpcpll CW 5.0 0.06 

Geologic descriptions from sources Bulk Bedrock 
Saturated 
Geologic 
Identifier Source 
Formation Lithology 
Corresponding 
lithostratigr 
aphic unit 
Corresponding 
hydrogeolo 
gic unit 
Estimated 
Fracture 
density 
(F/m) 
Hydraulic 
Conductivity 
w/filled 250um 
fractures 
(mm/d) 
29 Scott and Bonk (1984) Tiva Canyon Tuff Hackly zone Tpcplnh CW 5.0 0.06 
30 Scott and Bonk (1984) Tiva Canyon Tuff Hackly zone Tpcplnh CW 5.0 0.06 
31 Scott and Bonk (1984) Tiva Canyon Tuff Columnar Tpcplnc CW 5.0 0.06 
32 Scott and Bonk (1984) Tiva Canyon Tuff Bedded Tuff Tpbt4 BT4 0.5 13.83 
Yucca Mountain 
33 Scott and Bonk (1984) Tuff Undifferentiated Tpbt4 BT4 0.5 13.83 
Yucca Mountain 
34 Scott and Bonk (1984) Tuff Upper Tpbt4 BT4 0.5 13.83 
Yucca Mountain 
35 Scott and Bonk (1984) Tuff Middle Tpy CW 5.0 0.06 
Yucca Mountain 
36 Scott and Bonk (1984) Tuff Lower Tpy BT3 0.5 46.66 
Yucca Mountain 
37 Scott and Bonk (1984) Tuff Rhyolite Flows Tpcpll CW 7.0 0.09 
Yucca Mountain 
38 Scott and Bonk (1984) Tuff Bedded Tuff Tpbt3 BT3 0.5 46.66 
39 Scott and Bonk (1984) Pah Canyon Tuff Undifferentiated Tpp TPP 1.0 75.62 
40 Scott and Bonk (1984) Pah Canyon Tuff Upper Tpp TPP 1.0 75.62 
41 Scott and Bonk (1984) Pah Canyon Tuff Middle Tpp CW 5.0 0.06 
42 Scott and Bonk (1984) Pah Canyon Tuff Lower Tpbt2 BT2 0.5 276.49 
43 Scott and Bonk (1984) Pah Canyon Tuff Bedded Tuff Tpbt2 BT2 0.5 276.49 
Topopah Spring 
44 Scott and Bonk (1984) Tuff Undifferentiated Tptpll CW 7.0 0.09 
Topopah Spring 
45 Scott and Bonk (1984) Tuff Caprock Tptrv1 TC 25.0 0.41 
Topopah Spring 
99 Scott and Bonk (1984) Tuff Caprock/rounded Tptrn TC 10.0 0.25 
Topopah Spring 
46 Scott and Bonk (1984) Tuff Rounded Tptrn TR 5.0 0.20 
Topopah Spring 
47 Scott and Bonk (1984) Tuff Thin lithophysal Tptpul TUL 3.0 0.05 
Topopah Spring 
48 Scott and Bonk (1984) Tuff Red lithophysal Tptpul TUL 3.0 0.05 
Topopah Spring 
49 Scott and Bonk (1984) Tuff Upper lithophysal Tptpul TUL 3.0 0.05 
Topopah Spring 
50 Scott and Bonk (1984) Tuff Lower lithophysal Tptpul TUL 3.0 0.05 
Topopah Spring 
51 Scott and Bonk (1984) Tuff Lithophysal Tptpul TUL 3.0 0.05 
Topopah Spring 
52 Scott and Bonk (1984) Tuff Nonlithophysal Tptpmn TMN 7.0 0.09 
Topopah Spring Gray 
53 Scott and Bonk (1984) Tuff nonlithophysal Tptpmn TMN 7.0 0.09 
Topopah Spring 
54 Scott and Bonk (1984) Tuff Nonlithophysal Tptpmn TMN 7.0 0.09 
Topopah Spring 
55 Scott and Bonk (1984) Tuff Brick Tptpmn TMN 7.0 0.09 

Geologic descriptions from sources Bulk Bedrock 
Saturated
Corres-Corres-Estimated 
Hydraulic
Geologic ponding ponding Fracture Conductivity
Source
Identifier Lithology lithostratigr hydrogeolo density 
w/filled 250Formation 
aphic unit gic unit (F/m) 
um fractures 
(mm/d) 
Topopah Spring Middle 
56 Scott and Bonk (1984) Tuff nonlithophysal Tptpmn TMN 7.0 0.09 
Topopah Spring Orange brick 
57 Scott and Bonk (1984) Tuff lithophysal Tptpmn TMN 7.0 0.09 
Topopah Spring 
58 Scott and Bonk (1984) Tuff Orange brick Tptpmn TMN 7.0 0.09 
Topopah Spring 
59 Scott and Bonk (1984) Tuff Tptpmn TMN 7.0 0.09 
Topopah Spring 
60 Scott and Bonk (1984) Tuff Tptpmn TMN 7.0 0.09 
Topopah Spring 
61 Scott and Bonk (1984) Tuff Tptpmn TMN 7.0 0.09 
Topopah Spring 
62 Scott and Bonk (1984) Tuff Mottled lithophysal Tptpll TLL 5.0 0.07 
Topopah Spring 
63 Scott and Bonk (1984) Tuff Lower Lithophysal Tptpll TLL 5.0 0.07 
Topopah Spring 
64 Scott and Bonk (1984) Tuff Lower Lithophysal Tptpll TLL 5.0 0.07 
Topopah Spring 
65 Scott and Bonk (1984) Tuff Lower Lithophysal Tptpll TLL 5.0 0.07 
Topopah Spring 
66 Scott and Bonk (1984) Tuff Mottled Tptpln TM1 12.0 0.14 
Topopah Spring 
67 Scott and Bonk (1984) Tuff Vitrophyre Tptpv3 PV3 15.0 0.17 
Topopah Spring 
68 Scott and Bonk (1984) Tuff Partially welded Tptpv2,1 PV2 0.5 0.07 
Calico Hills 
69 Scott and Bonk (1984) Formation Pyroclastic rocks Tac CHZ 0.5 0.02 
Calico Hills 
70 Scott and Bonk (1984) Formation Lava flows Tptpln TM1 12.0 0.14 
Calico Hills Autobrecciated 
71 Scott and Bonk (1984) Formation lavas Tac CHZ 0.5 0.01 
72 Scott and Bonk (1984) Prow Pass Tuff Partially welded Tcp, unit3 PP3 1.0 1.65 
73 Scott and Bonk (1984) Prow Pass Tuff Moderately welded Tcp, unit2 PP2 2.0 0.05 
74 Scott and Bonk (1984) Prow Pass Tuff Undifferentiated Tcp, unit2 PP2 2.0 0.05 
75 Scott and Bonk (1984) Prow Pass Tuff Bedded Tuffs Tcp, unit1 PP1 1.0 0.02 
76 Scott and Bonk (1984) Bullfrog Tuff Ash-flow tuff Tcb, unit3 BF3 1.0 0.09 
77 Scott and Bonk (1984) Disturbed ground 0.25 
Sawyer et al. 
201 (1995) Tiva Canyon Tuff Undifferentiated Tpcpll CW 1.0 0.09 
Sawyer et al. Timber Mountain Welded ash-flow 
202 (1995) Tuff-Rainier Mesa tuff Tptpmn TMN 5.0 0.06 
Sawyer et al. Rhyolite of Windy 
203 (1995) Wash Lava flows Tpcpll CW 1.0 0.09 
Sawyer et al. 
204 (1995) Alluvium 500.00 
Sawyer et al. Rhyolite of Vent 
205 (1995) Pass Lava flows Tptrv1 TC 25.0 0.41 

Geologic descriptions from sources Bulk Bedrock 
Saturated 
Alluvial & Colluvial Alluvial & Colluvial 
301 Day et al. (1998) deposits deposits QTac QTac 500.00 
302 Day et al. (1998) Colluvial deposits Colluvial deposits Qtc QTac 500.00 
303 Day et al. (1998) Miocene Intrusives basalt dike Td CW 5.0 0.06 
Timber Mountain Rainier Mesa Tuff, 
304 Day et al. (1998) Group welded Tmrw TMN 1.0 0.09 
Timber Mountain Rainier Mesa Tuff, 
305 Day et al. (1998) Group nonwelded Tmr CNW 6.0 2.74 
Rhyolite of Comb 
306 Day et al. (1998) Peak Rhyolite lava flow Tpkl BT3 0.5 46.66 
Rhyolite of Comb 
307 Day et al. (1998) Peak Ash-flow tuff Tpkt BT3 0.5 46.66 
Rhyolite of Comb 
308 Day et al. (1998) Peak bedded tuff Tbt5 BT3 0.5 46.66 
Rhyolite of Comb 
309 Day et al. (1998) Peak undivided Tpu CW 5.0 0.06 
310 Day et al. (1998) Tiva Canyon Tuff undivided Tcu CW 5.0 0.06 
crystal rich vitric 
311 Day et al. (1998) Tiva Canyon Tuff zone Tcrv TC 20.0 0.35 
subvitric transition 
312 Day et al. (1998) Tiva Canyon Tuff zone Tcrn4 TC 20.0 0.35 
313 Day et al. (1998) Tiva Canyon Tuff pumice-poor zone Tcrn3 CUC 5.0 3.34 
314 Day et al. (1998) Tiva Canyon Tuff mixed-pumice zone Tcr2 CUC 5.0 3.34 
crystal transition 
315 Day et al. (1998) Tiva Canyon Tuff zone Tcr1 CW 5.0 0.06 
316 Day et al. (1998) Tiva Canyon Tuff upper lithophysal Tcpul CUL 5.0 1.13 
upper 
317 Day et al. (1998) Tiva Canyon Tuff nonlithophysal Tcpun CW 5.0 0.06 
middle 
318 Day et al. (1998) Tiva Canyon Tuff nonlithophysal Tcpmn CW 5.0 0.06 
Geologic 
Identifier Source 
Formation Lithology 
Corresponding 
lithostratigr 
aphic unit 
Corresponding 
hydrogeolo 
gic unit 
Estimated 
Fracture 
density 
(F/m) 
Hydraulic 
Conductivity 
w/filled 250um 
fractures 
(mm/d) 
Sawyer et al. Rhyolite of 
206 (1995) Pinnacles Ridge Lava flows Tptrv1 TC 25.0 0.41 
Sawyer et al. Rhyolite of 
207 (1995) Pinnacles Ridge Pyroclastic rocks Tpbt2 BT3 0.5 46.66 
Sawyer et al. Calico Hills 
208 (1995) Formation Lava flows Tptpln TM1 12.0 0.14 
Sawyer et al. Yucca Mountain 
209 (1995) Tuff Middle Tpy CW 5.0 0.06 
Sawyer et al. Rhyolite of Comb 
210 (1995) Peak Lava flows Tpcpll CW 1.0 0.09 
Sawyer et al. 
211 (1995) Bullfrog Tuff Ash-flow tuff Tcb, unit3 BF3 1.0 0.09 
Sawyer et al. 
212 (1995) Bullfrog Tuff Ash-flow tuff Tcb, unit3 BF3 1.0 0.09 
Sawyer et al. Topopah Spring 
213 (1995) Tuff Nonlithophysal Tptpmn TMN 1.0 0.09 
Sawyer et al. 
214 (1995) Prow Pass Tuff Moderately welded Tcp, unit2 PP2 2.0 0.05 

Geologic 
Identifier Source 
Geologic descriptions from sources 
Formation Lithology 
Corresponding 
lithostratigr 
aphic unit 
Corresponding 
hydrogeolo 
gic unit 
Estimated 
Fracture 
density 
(F/m) 
Bulk Bedrock 
Saturated 
Hydraulic 
Conductivity 
w/filled 250um 
fractures 
(mm/d) 
upper & middle 
319 Day et al. (1998) Tiva Canyon Tuff nonlith, undivided Tcpum CW 5.0 0.06 
320 Day et al. (1998) Tiva Canyon Tuff lower lith Tcpll CW 5.0 0.06 
321 Day et al. (1998) Tiva Canyon Tuff lower nonlith Tcpln CW 5.0 0.06 
322 Day et al. (1998) Tiva Canyon Tuff columnar subzone Tcplnc CW 5.0 0.06 
323 Day et al. (1998) Tiva Canyon Tuff crystal poor vitric Tcplncv CNW 6.0 2.74 
324 Day et al. (1998) Yucca Mt. Tuff Yucca Mt. Tuff Tpy BT4 0.5 13.83 
Pah Canyon Tuff, 
325 Day et al. (1998) Pah Canyon Tuff nonwelded Tpp TPP 1.0 75.62 
Pah Canyon Tuff, 
326 Day et al. (1998) Pah Canyon Tuff welded Tppw CW 5.0 0.06 
pre-Pah Canyon pre-Pah Canyon 
327 Day et al. (1998) Tuff Tuff Tpbt2 BT2 0.5 276.49 
Topopah Spring 
328 Day et al. (1998) Tuff undifferentiated Tptu TR 5.0 0.20 
crystal rich crystal rich vitric, 
329 Day et al. (1998) member undivided Tptrv TC 20.0 0.35 
crystal rich densely welded 
330 Day et al. (1998) member zone Tptrn3 TC 20.0 0.35 
crystal rich 
331 Day et al. (1998) member pumice-rich zone Tptrn2 TR 5.0 0.20 
crystal rich crystal transition 
332 Day et al. (1998) member zone Tptr1 TUL 3.0 0.05 
crystal poor 
333 Day et al. (1998) member upper lith Tptpul TUL 3.0 0.05 
crystal poor 
334 Day et al. (1998) member middle nonlith Tptpmn TMN 7.0 0.09 
crystal poor lithophysal bearing 
335 Day et al. (1998) member subzone Tptmnl TMN 7.0 0.09 
crystal poor 
336 Day et al. (1998) member lower lith Tptpll TLL 7.0 0.09 
Topopah Spring 
345 Day et al. (1998) Tuff undivided Tptrn TR 10.0 0.24 

Table IV-4. Summary of soil properties used as input for INFIL V2.0. 
[m/s, meters per second; Pa, pascals; %, percent; g/cm3, grams per cubic centimeter; ------, 
not applicable] (DTN: GS000308311221.004) 
Saturated Water Water 
Soil 
unit 
hydraulic 
conductivity 
(simulated, 
alpha 
(1/Pa) n Porosity 
(%) 
Rock 
fragmen 
ts(%) 
Bulk 
Density 
(g/cm3) 
content at 
-0.1 bar water 
potential 
content at 
-60 bars 
water 
m/s) (%) 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 

ATTACHMENT V
DEVELOPMENT OF DAILY CLIMATE INPUT USING DAILY09 V1.0
TOTAL PAGES: 30

Development of Daily Climate Input using DAILY09 V1.0 
1. 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
2. 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. 
3. 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 AMR. 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 attachment, 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). 
4. 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. Daily climate records from the analog 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 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 
attachment. 
 Description of test(s) to be performed: 
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 > 10 days and air temperature > 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 < 10 days and insert zeros, and a visual and arithmetic check to ensure 
that gaps in air temperature < 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. 
5. 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 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 < 10 days and the correct interpolation of air 
temperatures for gaps < 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 analog 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 
attachment. 
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. 

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 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 2 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 EARTHINO 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. 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 

 Example listing of ROSALIA.DAY. DAILY09 uses the EARTHINO 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)
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 
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 

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 

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 

Record Dy Dy 
Day of of Precip 
Number Year Mo Mo Yr mm 
Max Min Snow
Temp Temp Fall
deg C deg C mm
62923 1972 4 11 102 
62924 1972 4 12 103 
62925 1972 4 13 104 
62926 1972 4 14 105 
62927 1972 4 15 106 
62928 1972 4 16 107 
62929 1972 4 17 108 
62930 1972 4 18 109 
62931 1972 4 19 110 
62932 1972 4 20 111 
62933 1972 4 21 112 
62934 1972 4 22 113 
62935 1972 4 23 114 
62936 1972 4 24 115 
62937 1972 4 25 116 
62938 1972 4 26 117 
62939 1972 4 27 118 
62940 1972 4 28 119 
62941 1972 4 29 120 
62942 1972 4 30 121 
62943 1972 5 1 122 
62944 1972 5 2 123 
62945 1972 5 3 124 
62946 1972 5 4 125 
62947 1972 5 5 126 
62948 1972 5 6 127 
62949 1972 5 7 128 
62950 1972 5 8 129 
62951 1972 5 9 130 
62952 1972 5 10 131 
62953 1972 5 11 132 
62954 1972 5 12 133 
62955 1972 5 13 134 
62956 1972 5 14 135 
62957 1972 5 15 136 
62958 1972 5 16 137 
62959 1972 5 17 138 
62960 1972 5 18 139 
62961 1972 5 19 140 
62962 1972 5 20 141 
62963 1972 5 21 142 
62964 1972 5 22 143 
62965 1972 5 23 144 
62966 1972 5 24 145 
62967 1972 5 25 146 
62968 1972 5 26 147 
62969 1972 5 27 148 
62970 1972 5 28 149 
62971 1972 5 29 150 
62972 1972 5 30 151 
62973 1972 5 31 152 
62974 1972 6 1 153 
62975 1972 6 2 154 
62976 1972 6 3 155 
62977 1972 6 4 156 
62978 1972 6 5 157 
62979 1972 6 6 158 
62980 1972 6 7 159 
62981 1972 6 8 160 
62982 1972 6 9 161 
62983 1972 6 10 162 
62984 1972 6 11 163 
62985 1972 6 12 164 
62986 1972 6 13 165 
62987 1972 6 14 166 
62988 1972 6 15 167 
1.3 10.0 1.7 0.0
3.3 6.7 1.7 0.0
1.3 5.6 -2.2 0.0
0.0 8.3 -2.2 0.0
0.0 12.2 2.2 0.0
0.0 11.7 0.6 0.0
0.0 7.8 -2.8 0.0
0.0 5.6 -5.0 0.0
0.0 8.9 -3.9 0.0
0.0 12.8 0.0 0.0
0.0 12.8 3.3 0.0
0.0 9.4 -5.0 0.0
0.0 8.9 -1.1 0.0
0.0 21.1 7.2 0.0
0.0 13.3 0.6 0.0
0.0 11.7 -1.7 0.0
0.0 15.0 0.6 0.0
0.0 23.3 5.6 0.0
0.0 8.3 -3.3 0.0
0.0 10.6 -3.9 0.0
0.0 11.7 -3.3 0.0
0.0 16.7 0.6 0.0
0.0 20.6 2.8 0.0
0.0 22.2 4.4 0.0
0.0 23.3 4.4 0.0
0.0 22.2 8.3 0.0
0.0 18.9 5.6 0.0
16.8 15.6 4.4 0.0
24.4 6.7 2.8 0.0
1.8 8.9 4.4 0.0
0.0 15.6 5.6 0.0
0.0 17.8 6.7 0.0
0.0 21.7 8.3 0.0
0.0 25.0 7.2 0.0
0.0 23.9 10.0 0.0
0.0 21.1 8.3 0.0
0.0 22.2 9.4 0.0
2.3 15.0 2.2 0.0
0.0 14.4 3.9 0.0
0.0 25.0 8.9 0.0
0.0 22.2 8.3 0.0
5.6 9.4 6.1 0.0
0.0 15.6 3.3 0.0
0.0 14.4 3.3 0.0
0.0 13.9 0.6 0.0
0.0 18.3 3.9 0.0
0.0 22.8 8.3 0.0
0.0 27.2 12.2 0.0
0.0 28.3 12.2 0.0
0.0 31.1 13.3 0.0
0.0 29.4 13.9 0.0
-999.9 M -999.9 M -999.9 M -999.9 M
-999.9 M -999.9 M -999.9 M -999.9 M
-999.9 M -999.9 M -999.9 M -999.9 M
-999.9 M -999.9 M -999.9 M -999.9 M
-999.9 M -999.9 M -999.9 M -999.9 M
-999.9 M -999.9 M -999.9 M -999.9 M
-999.9 M -999.9 M -999.9 M -999.9 M
-999.9 M -999.9 M -999.9 M -999.9 M
-999.9 M -999.9 M -999.9 M -999.9 M
-999.9 M -999.9 M -999.9 M -999.9 M
-999.9 M -999.9 M -999.9 M -999.9 M
-999.9 M -999.9 M -999.9 M -999.9 M
-999.9 M -999.9 M -999.9 M -999.9 M
-999.9 M -999.9 M -999.9 M -999.9 M
-999.9 M -999.9 M -999.9 M -999.9 M

Record Dy Dy 
Day of of Precip 
Number Year Mo Mo Yr mm 
Max Min Snow
Temp Temp Fall
deg C deg C mm
62989 1972 6 16 168 
62990 1972 6 17 169 
62991 1972 6 18 170 
62992 1972 6 19 171 
62993 1972 6 20 172 
62994 1972 6 21 173 
62995 1972 6 22 174 
62996 1972 6 23 175 
62997 1972 6 24 176 
62998 1972 6 25 177 
62999 1972 6 26 178 
63000 1972 6 27 179 
63001 1972 6 28 180 
63002 1972 6 29 181 
63003 1972 6 30 182 
63004 1972 7 1 183 
63005 1972 7 2 184 
63006 1972 7 3 185 
63007 1972 7 4 186 
63008 1972 7 5 187 
63009 1972 7 6 188 
63010 1972 7 7 189 
63011 1972 7 8 190 
63012 1972 7 9 191 
63013 1972 7 10 192 
63014 1972 7 11 193 
63015 1972 7 12 194 
63016 1972 7 13 195 
63017 1972 7 14 196 
63018 1972 7 15 197 
63019 1972 7 16 198 
63020 1972 7 17 199 
63021 1972 7 18 200 
63022 1972 7 19 201 
63023 1972 7 20 202 
63024 1972 7 21 203 
63025 1972 7 22 204 
63026 1972 7 23 205 
63027 1972 7 24 206 
63028 1972 7 25 207 
63029 1972 7 26 208 
63030 1972 7 27 209 
63031 1972 7 28 210 
63032 1972 7 29 211 
63033 1972 7 30 212 
63034 1972 7 31 213 
63035 1972 8 1 214 
63036 1972 8 2 215 
63037 1972 8 3 216 
63038 1972 8 4 217 
63039 1972 8 5 218 
63040 1972 8 6 219 
63041 1972 8 7 220 
63042 1972 8 8 221 
63043 1972 8 9 222 
63044 1972 8 10 223 
63045 1972 8 11 224 
63046 1972 8 12 225 
63047 1972 8 13 226 
63048 1972 8 14 227 
63049 1972 8 15 228 
63050 1972 8 16 229 
63051 1972 8 17 230 
63052 1972 8 18 231 
63053 1972 8 19 232 
63054 1972 8 20 233 
-999.9 M -999.9 M -999.9 M -999.9 M
-999.9 M -999.9 M -999.9 M -999.9 M
-999.9 M -999.9 M -999.9 M -999.9 M
-999.9 M -999.9 M -999.9 M -999.9 M
-999.9 M -999.9 M -999.9 M -999.9 M
-999.9 M -999.9 M -999.9 M -999.9 M
-999.9 M -999.9 M -999.9 M -999.9 M
-999.9 M -999.9 M -999.9 M -999.9 M
-999.9 M -999.9 M -999.9 M -999.9 M
-999.9 M -999.9 M -999.9 M -999.9 M
-999.9 M -999.9 M -999.9 M -999.9 M
-999.9 M -999.9 M -999.9 M -999.9 M
-999.9 M -999.9 M -999.9 M -999.9 M
-999.9 M -999.9 M -999.9 M -999.9 M
-999.9 M -999.9 M -999.9 M -999.9 M
0.0 27.8 6.1 0.0
0.0 23.3 7.8 0.0
0.0 23.9 8.3 0.0
0.0 26.7 7.8 0.0
0.0 31.1 6.7 0.0
0.0 
32.2 16.1 0.0
5.8 
33.3 10.6 0.0
0.0 
27.8 11.1 0.0
1.5 
25.6 8.9 0.0
0.0 
20.0 3.3 0.0
3.0 
21.1 9.4 0.0
0.0 20.0 10.6 0.0
0.0 29.4 15.6 0.0
0.0 26.7 8.3 0.0
0.0 27.2 6.1 0.0
0.0 27.8 7.2 0.0
0.0 29.4 10.6 0.0
0.0 28.3 10.0 0.0
0.0 26.7 9.4 0.0
0.0 
20.6 10.6 0.0
5.6 
21.7 8.9 0.0
0.5 18.3 8.9 0.0
0.0 27.2 10.6 0.0
0.0 28.9 9.4 0.0
0.0 24.4 10.0 0.0
0.0 28.9 7.2 0.0
0.0 30.6 8.3 0.0
0.0 29.4 8.9 0.0
0.0 33.9 10.0 0.0
0.0 35.0 12.8 0.0
0.0 33.9 11.1 0.0
0.0 33.3 11.7 0.0
0.0 30.0 7.8 0.0
0.0 28.3 8.9 0.0
0.0 30.6 7.8 0.0
0.0 32.8 8.9 0.0
0.0 35.0 10.0 0.0
0.0 37.2 10.6 0.0
0.0 38.3 14.4 0.0
0.0 39.4 18.3 0.0
0.0 35.0 12.8 0.0
0.0 32.8 11.7 0.0
0.0 29.4 12.2 0.0
0.0 27.2 11.7 0.0
0.0 26.7 7.8 0.0
0.0 
32.2 13.3 0.0
21.6 
A 23.3 7.8 0.0
0.5 23.9 10.0 0.0
0.0 20.0 5.0 0.0
0.0 26.7 6.7 0.0
0.0 25.6 10.0 0.0

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 

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 

 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 
(> 10 days for precipitation and > 20 for air temperature). In addition, the following file 
illustrates the additional column of mean air temperature calculated as 
(TMAX+TMIN)/2. 
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
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 

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 

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 

 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)
 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 
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 

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 
Day of of Precip 
Number Year Mo Mo Yr mm 
Max Min Mean Snow
Temp Temp Temp Fall
deg C deg C deg C mm
71263 1995 2 10 41 0.0 
71264 1995 2 11 42 0.0 
71265 1995 2 12 43 0.0 
71266 1995 2 13 44 0.0 E1 
71267 1995 2 14 45 0.8 
71268 1995 2 15 46 0.0 
71269 1995 2 16 47 3.8 
71270 1995 2 17 48 13.7 
71271 1995 2 18 49 0.0 
71272 1995 2 19 50 8.9 
71273 1995 2 20 51 5.8 
8.3 -1.7 3.3 C1 0.0
6.1 -2.8 1.7 C1 0.0
1.1 -8.9 -3.9 C1 0.0
-6.7 -12.2 -9.4 C1 -999.9 M
-7.2 -12.2 -9.7 C1 12.7
-6.7 -11.7 -9.2 C1 0.0
2.2 -5.8 E2 -1.8 C1 50.8
4.4 0.0 2.2 C1 0.0
7.8 1.1 4.4 C1 0.0
11.1 2.8 6.9 C1 0.0
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)
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==== Import EARTH-INFO NCDC export files
c ----------------------------------c---- 
open EARTH-INFO NCDC export files
open(unit=8,file=NCDCfile)
c
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 
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---- 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
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
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 

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,
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
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
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-------
c
c
c
c
c
c
310
c
c-------
c
c
c
c
c
c
320
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.
read-in maximum daily air temp data for each month
do 310 j = 1,ndmonth(dyear,dmonth)
n2 = n2 + 1
ndaymo = ndaymo + 1
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
continue
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.
read-in minimum daily air temp data for each month
do 320 j = 1,ndmonth(dyear,dmonth)
n3 = n3 + 1
ndaymo = ndaymo + 1
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
continue
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
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 /' ',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
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 
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', 

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)
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 
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-------- 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'
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
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 

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',
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,
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

ATTACHMENT VI
CALCULATION OF BLOCKING RIDGES USING BLOCKR7 V1.0
TOTAL PAGES: 40

Calculation of Blocking Ridges using BLOCKR7 V1.0 
1. 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
2. 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. 
3. 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 AMR. 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 attachment, 
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. The parameters used and 
developed by BLOCKR7 V1.0 are equivalent to the parameters used in the input file for 
INFIL V1.0 (Flint and others, 1996). 
4. 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 topography obstructs a locations view of the sky 
and potential direct beam solar radiation. The 36 blocking ridge angles are calculated at each 
10-degree 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 9 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-degree 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 
attachment. 
 Description of test(s) to be performed: 
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 so-on 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 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 meters 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 potential evapotranspiration. 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 9 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 attachment). 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 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 from 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) 
5. 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). 

 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 attachment 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 the 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 
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 VI-1 
through VI-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 VI-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 VI-2 and VI-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 VI-2 and VI-3 indicates a high percentage of sky-view 
(90 percent and higher) for ridge-top and flat, open area locations, and a low percentage of 
1 Grid cell location number 
2 UTM easting coordinate , in meters 
3 UTM northing coordinate, in meters 
4 Latitude coordinate, in decimal degrees 
5 Longitude coordinate, in decimal degrees 
6 Ground surface slope, in degrees 
7 Ground surface aspect, in degrees 
8 Ground surface elevation, in meters 
9 Soil type identification number, integer value 
10 Soil depth class number, integer value 
11 Rock type Identification number, integer value 
12 Topographic identification number, integer value 
13 First of 36 blocking ridge angles, in degrees 
14 Second of 36 blocking ridge angles, in degrees 
15 Third of 36 blocking ridge angles, in degrees 
16-47 blocking ridge angles 4 through 35 
48 Last blocking ridge angle, in degrees. 

sky-view (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, and in the ability of the reviewer to discern 
topography from the shaded relief representation of 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 attachment to the AMR. 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 attachment. 
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 attachment. 
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 attachment. 
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 attachment. 

30MASPCT.ASC: 
30MELEV.ASC: 
30MSOIL.ASC: 
30MDEPTH.ASC: 
30MROCK.ASC: 
30MTOPO.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 attachment. 
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 attachment. 
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 
attachment. 
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 attachment. 
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 
attachment. 
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 
attachment. 

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
11 3
21 2
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 attachment. 
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. 

32 3
41 1
53 2
62 1
73 1
81 0
93 -1
102 -1
113 -2
121 -1
132 -3
141 -2
151 -3
160 -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
320 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 

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
36.9369 36.9369 36.9369 36.9369 36.9369 36.9369 36.9369 36.9369 36.9369
36.9369 36.9369 36.9369 36.9369 36.9369 36.9369 36.9369 36.9369 36.9369
36.9369 36.9369 36.9369 36.9369 36.9369 36.9369 36.9369 36.9369 36.9369
36.9369 36.9369 36.9369 36.9369 36.9369 36.9369 36.9369 36.9369 36.9369
36.9369 36.9369 36.9369 36.9369 36.9369 36.9369 36.9369 36.9369 36.9369
36.9369 36.9369 36.9369 36.9369 36.9369 36.9369 36.9369 36.9369 36.9369
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
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 36.9367 36.9367
36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 36.9367 
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 36.9370 36.9369 36.9369 36.9369
36.9369 36.9369 36.9369 36.9369 36.9369 36.9369 36.9369 36.9369 36.9369
36.9369 36.9369 36.9369 36.9369 36.9369 36.9369 36.9369 36.9369 36.9369
36.9369 36.9369 36.9369 36.9369 36.9369 36.9369 36.9369 36.9369 36.9369
36.9369 36.9369 36.9369 36.9369 36.9369 36.9369 36.9369 36.9369 36.9369
36.9369 36.9369 36.9369 36.9369 36.9369 36.9369 36.9369 36.9369 36.9369
36.9369 36.9369 36.9369 36.9369 36.9369 36.9369 36.9369 36.9369 36.9369
36.9369 36.9369 36.9369 36.9369 36.9369 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 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
36.9367 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

36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 36.9368 36.9368
 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
116.4985 116.4981 116.4978 116.4975 116.4971 116.4968 116.4965 116.4961
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
116.4796 116.4793 116.4789 116.4786 116.4783 116.4779 116.4776 116.4773
116.4769 116.4766 116.4762 116.4759 116.4756 116.4752 116.4749 116.4746
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 
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 
36.9364 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 
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 
36.9363 36.9363 36.9363 36.9363 36.9363 36.9363 36.9363 36.9363 36.9363 
36.9363 36.9363 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 
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 

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
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 116.4378 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 116.4314
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 116.4250 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 116.4186 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
116.4122 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 116.4058 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 116.3994 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 116.3940 116.3937
116.3934 116.3930 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 116.3876 116.3873 116.3870 116.3866 116.3863 116.3860 116.3856
116.3853 116.3850 116.3846 116.3843 116.3840 116.3836 116.3833 116.3829
116.3826 116.3823 116.3819 116.3816 116.3812 116.3809 116.3806 116.3802
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 
116.4985 116.4982 116.4978 116.4975 116.4971 116.4968 116.4965 116.4961
116.4958 116.4955 116.4951 116.4948 116.4944 116.4941 116.4938 116.4934
116.4931 116.4928 116.4924 116.4921 116.4918 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 116.4854
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
116.4796 116.4793 116.4789 116.4786 116.4783 116.4779 116.4776 116.4773
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 116.4725 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
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 116.4058 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 116.3994 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 116.3940 116.3937
116.3934 116.3930 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 116.3876 116.3873 116.3870 116.3866 116.3863 116.3860 116.3856
116.3853 116.3850 116.3846 116.3843 116.3840 116.3836 116.3833 116.3829
116.3826 116.3823 116.3819 116.3816 116.3812 116.3809 116.3806 116.3802
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 
116.4985 116.4982 116.4978 116.4975 116.4971 116.4968 116.4965 116.4961
116.4958 116.4955 116.4951 116.4948 116.4944 116.4941 116.4938 116.4934
116.4931 116.4928 116.4924 116.4921 116.4918 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 116.4854
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
116.4796 116.4793 116.4790 116.4786 116.4783 116.4779 116.4776 116.4773
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

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 

 
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
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 

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
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

 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
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 

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
55 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 4 4 9 
5 5 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 
3 2 2 2 2 2 
5 5 5 5 5 5 
9 9 9 9 5 5 
5 5 5 5 5 5 
5 5 5 5 5 5 
1 1 1 1 1 1 
4 4 3 3 
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 4 5 5 5 
5 5 5 5 5 5 
5 5 5 5 5 5 
9 9 9 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 
3 3 2 2 2 2 
5 5 5 5 5 5 
5 5 5 5 5 5 5
5 5 5 5 5 5 5
5 5 5 5 5 5 5
5 5 5 5 5 5 5
5 5 5 5 5 5 5
5 5 5 5 5 5 5
5 5 5 5 5 5 5
5 5 5 5 5 5 5
5 5 5 5 5 5 5
5 5 5 5 5 5 5
5 5 5 5 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 5 5 5 5 5
5 5 5 5 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 5 5
5 5 5 5 5 5 5
5 5 5 5 3 3 3
2 5 5 5 5 5 5
5 5 5 2 5 9 9
5 5 5 5 9 9 5
5 5 5 5 5 5 5
5 1 1 1 2 5 1
5 5 5 5 5 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
9 9 9 5 5 5 5
5 5 5 5 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 5 5
5 5 5 5 5 5 5
5 5 5 5 3 3 3
2 5 5 5 5 5 5
5 5 5 2 5 9 9

9 9 9 9 5 
5 5 5 5 5 
5 5 5 5 5 
1 1 1 1 1 
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 
9 9 9 5 5 
9 9 9 5 5 
5 5 5 5 5 
5 5 5 5 5 
5 5 5 5 5 
3 3 3 3 2 
5 5 5 5 5 
9 9 9 5 5 
5 5 5 5 5 
5 5 5 5 5 
1 1 1 1 1 
4 3 3 3
5 5 5 9 9 9 9 9
5 5 5 5 5 5 5 5
5 5 9 1 1 1 2 3
1 1 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 9 9 9 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 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
2 2 2 5 5 5 5 5
5 5 5 5 2 5 3 9
5 5 5 9 9 9 9 9
5 5 5 5 5 5 5 5
5 9 9 9 1 1 1 2
1 1 1 5 5 5 5 4
 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
11 1 1 1 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 
4 4 4 4 4 
1 1 1 1 1 
2 2 2 2 1 
1 1 1 1 1 
1 1 1 1 1 
3 3 3 3 3 
4 4 4 4 
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 3 1 1 
1 1 1 1 1 
1 1 1 1 1 
2 2 2 1 1 
2 1 1 1 1 
1 1 1 1 1 
1 1 1 1 1 
1 1 1 1 1 
4 4 4 4 4 
1 1 1 1 1 
2 2 2 2 1 
1 1 1 1 1 
1 1 1 1 1 
4 4 4 4 4 
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 
2 2 2 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
1 1 1 1 1 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
3 3 1 1 1 1 1 1
1 1 1 1 3 1 2 2
1 1 1 1 1 2 2 1
1 1 1 1 1 1 1 1
1 1 3 4 4 3 1 1
3 1 1 1 1 1 3 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 2 2 2 1 1 1 1
1 1 1 1 1 1 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 1 1 1 1 1
1 1 1 1 1 1 1 1
1 1 1 1 1 3 3 3
4 3 1 1 1 1 1 1
1 1 1 1 3 1 2 2
1 1 1 2 2 2 2 2
1 1 1 1 1 1 1 1
1 1 2 3 4 4 3 3
4 3 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 2 2 2 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 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

3 3 4 4 4 
1 1 1 1 1 
2 2 2 1 1 
1 1 1 1 1 
1 1 1 1 1 
4 4 4 4 4 
4 4 4 4
4 4 3 1 1 1 1 1
1 1 1 1 3 1 3 2
1 1 1 2 2 2 2 2
1 1 1 1 1 1 1 1
1 2 2 2 3 4 4 4
4 4 3 1 1 1 1 3
 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). 
ncols 367
nrows 691
xllcorner 544661.000000
yllcorner 4067133.000000
cellsize 30.000000
NODATA_value -9999
11 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 3 3 2 
1 1 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 
4 4 4 4 4 3 
1 1 1 1 1 1 
2 2 2 2 1 1 
1 1 1 1 1 1 
1 1 1 1 1 1 
3 3 3 3 3 3 
4 4 4 4 
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 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
2 2 1 1 1 1 1
1 1 1 1 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 1 1
1 1 1 1 1 1 1
1 1 1 1 3 4 4
3 1 1 1 1 1 1
1 1 1 3 1 2 2
1 1 1 1 2 2 1
1 1 1 1 1 1 1
1 3 4 4 3 1 1
1 1 1 1 1 3 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
2 2 2 1 1 1 1

1 1 1 1 1 
1 1 1 1 1 
2 2 2 1 1 
2 1 1 1 1 
1 1 1 1 1 
1 1 1 1 1 
1 1 1 1 1 
4 4 4 4 4 
1 1 1 1 1 
2 2 2 2 1 
1 1 1 1 1 
1 1 1 1 1 
4 4 4 4 4 
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 
2 2 2 1 1 
2 2 2 1 1 
1 1 1 1 1 
1 1 1 1 1 
1 1 1 1 1 
3 3 4 4 4 
1 1 1 1 1 
2 2 2 1 1 
1 1 1 1 1 
1 1 1 1 1 
4 4 4 4 4 
4 4 4 4
1 1 1 1 1 1 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 1 1 1 1 1
1 1 1 1 1 1 1 1
1 1 1 1 1 3 3 3
4 3 1 1 1 1 1 1
1 1 1 1 3 1 2 2
1 1 1 2 2 2 2 2
1 1 1 1 1 1 1 1
1 1 2 3 4 4 3 3
4 3 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 2 2 2 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 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
4 4 3 1 1 1 1 1
1 1 1 1 3 1 3 2
1 1 1 2 2 2 2 2
1 1 1 1 1 1 1 1
1 2 2 2 3 4 4 4
4 4 3 1 1 1 1 3
 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
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
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
44 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 1 1 3 
4 4 5 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 
2 2 2 2 2 2 
4 4 4 4 4 4 
3 3 3 3 2 2 
2 2 2 2 2 2 
2 2 2 2 2 2 
2 2 2 2 2 2 
1 1 2 2 
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 5 4 4 4 4
3 3 4 4 4 4 4
4 4 4 4 4 4 4
4 4 3 3 3 3 3
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 2 1 2
2 4 4 4 4 4 4
4 4 4 2 4 3 3
2 2 2 2 3 3 2
2 2 2 2 2 2 2
2 2 2 2 2 5 4
4 4 4 4 4 2 2
4 4 4 4 4 4 4
4 4 4 4 5 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 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 1 4 4 
4 4 4 4 4 
4 4 4 4 4 
3 3 3 4 4 
3 4 4 4 4 
4 4 4 4 4 
4 4 4 4 4 
4 4 4 4 4 
2 2 2 2 2 
4 4 4 4 4 
3 3 3 3 5 
2 2 2 2 2 
2 2 2 2 2 
2 2 2 2 2 
1 2 2 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 6 4 4 
4 4 4 4 4 
4 4 4 4 5 
5 4 4 4 4 
3 3 3 4 4 
3 3 3 4 4 
4 4 4 4 4 
4 4 4 4 4 
4 4 4 4 4 
2 2 2 2 2 
5 5 4 4 4 
3 3 3 2 5 
2 2 2 2 2 
2 2 2 2 2 
2 2 2 2 2 
1 2 2 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 3 3 3 4 4 4 4
4 4 4 4 4 4 4 4
4 4 4 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
4 4 4 4 4 2 2 2
2 2 4 4 4 4 4 4
4 4 4 4 2 4 3 3
2 2 2 3 3 3 3 3
2 2 2 2 2 2 2 2
2 2 3 2 2 2 2 2
2 2 4 5 5 4 4 2
4 4 4 4 5 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 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 3 3 3 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 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
2 2 2 4 4 4 4 4
4 4 4 4 2 4 2 3
2 2 2 3 3 3 3 3
2 2 2 2 2 2 2 2
2 3 3 3 2 2 2 2
2 2 2 5 4 4 4 1
 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 
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: 
Figure VI-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. 
Hill545000 
545000 
550000 
550000 
555000 
555000 
40700004070000 
40750004075000 
40800004080000 
40850004085000 
shade 
0 -132 
133 -152 
153 -164 
165 -171 
172 -175 
176 -179 
180 -186 
187 -201 
202 -254 

Figure VI-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. 
i545000 
545000 
550000 
550000 
555000 
555000 
40700004070000 
40750004075000 
40800004080000 
40850004085000 
Skyvew 
70 -73 
73 -76 
76 -79 
79 -82 
82 -85 
85 -88 
88 -91 
91 -94 
94 -97 
97 -100 

Figure VI-3. Sky-view factor for the area of the potential repository, indicating the expected high (> 90%) 
sky-view percentages for ridge-tops and alluviul fans, and the expected low (<80%) sky-
view percentages on steep side-slopes and narrow washes. 
i545000 
545000 
550000 
550000 
555000 
555000 
40700004070000 
40750004075000 
40800004080000 
40850004085000 
Skyvew 
70 -73 
73 -76 
76 -79 
79 -82 
82 -85 
85 -88 
88 -91 
91 -94 
94 -97 
97 -100 

 Listing of source code for routine BLOCKR7 V1.0: 
program blockr7
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)
real EL,EST,NTH,maxelev,initelev,perdone
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 

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---------------------------------------------------------------------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
c
c 
dr = 0.0174533 
rd = 57.29579 
c 

c---- Begin input of standard ARCINFO ASCII matrix grid files
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
c
c 
77 format(a14,i12) 
66 format(a14,f14.4) 
c 

c---- read-in slope input grid file
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
write(*,65)
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 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
write(*,66) ascgrid5,cellsize
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 

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-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
write(*,115)
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 

115 format(///)
c
c---------------------------------------------------------------------72
C SET UP THE INITIAL BLOCKING RIDGES AS ZERO'S 
C START THE LOOP SEARCHING FOR THE BLOCKING ANGLES FOR EACH LOCATION
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)
ANG(8)=(80-78.75)/(78.75-67.5)
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 

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
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

ATTACHMENT VII
INCLUSION OF UPDATED BEDROCK GEOLOGY USING GEOMAP7 V1.0
TOTAL PAGES: 28

Title: Simulation of Net Infiltration for Modern and Potential Future Climates 
Inclusion Of Updated Bedrock Geology Using GEOMAP7 V1.0 
1. 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
2. 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. 
3. 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 AMR. 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 
attachment, 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. The file GEOMAP7.INP is used directly as input to the routine 
SOILMAP6 V1.0 (see Attachment IX). 
4. 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 and others, 1998, 
(GS971208314221.003) 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 and 
others, 1996). The modified bedrock geology is defined by the rock-type identification 

Title: Simulation of Net Infiltration for Modern and Potential Future Climates 
number included in the output file GEOMAP7.INP. The updated 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) (MO0003COV00095.000) and Sawyer et al. (1995) (GS000300001221.010), 
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) rock-type identification number (column 11 in 30MSITE.INP) 
wherever there are locations with soil thickness less than 6 meters 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 and others (1998). 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)

Title: Simulation of Net Infiltration for Modern and Potential Future Climates 
 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 
attachment. 
 Description of test(s) to be performed: 
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 rock-type 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 and others (1998) 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. 

Title: Simulation of Net Infiltration for Modern and Potential Future Climates 
 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 Attachment VI 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 and others, 1996). 
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 
and others (1998) (DTN: GS971208314221.003) 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 and others (1998) 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 and others, 1996) and are based on 
the Scott and Bonk (1984) (DTN: MO0003COV00095.000) and the Sawyer et 
al. (1995) (DTN: GS000300001221.010) geology maps. A more complete 
description of the parameters included in this file, along with input and output 
ranges, is provided in Attachment VI. 
5. 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 (GEOMAP7.XLS) used to perform additional 
inspections of parameter modifications for a selected subset of grid cell locations. 

Title: Simulation of Net Infiltration for Modern and Potential Future Climates 
 Description of how the testing shows that the results are correct for the specified 
input: 
The map images developed using TRANSFORM (Figures VII-1 through VII-3) indicate 
by visual inspection that the integer values defining the updated bedrock geology from 
Day and others (1998) 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 VII-2), which 
range from 1 to 214, have been correctly modified to include the updated rock-types 
(Figure VII-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 VII-3). Visual inspection of the map images 
indicates that the integer values represented by Figure VII-1 have been correctly overlain 
onto the original rock-type integer values shown in Figure VII-2 and increased by a value 
of 300 to produce the final set of rock-type identification numbers represented by Figure 
VII-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) geology for locations where a soil depth of less than 
6 meters (soil depth classes less than 4) coincided with mapped alluvium from Day and 
others (1998) is provided by a comparison of Figures VII-4 (indicating the original rock-
type identification numbers defined using Scott and Bonk (1984)) and VII-5 (indicating 
the new rock-type identification numbers defined using Day and others (1998) with 
Figure VII-4 (the new rock-type identification numbers) and Figure VII-6 (the soil depth 
class map). The locations where the Scott and Bonk (1984) 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 VII-1 through VII-6. Tables VII-1 through VII-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 and others (1998) geology map 
(NEWGEOL.HDF) for Table VII-1, the soil depth class map (30MDPTH.HDF) for 
Table VII-2, the original rock-type identification numbers in 30MSITE.INP 
(30MGEOL.HDF) for Table VII-3, and the new rock-types identification numbers 
created by GEOMAP7 (GEOMAP7.HDF) for Table VII-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 consolidated 
rock-type number 20 from Scott and Bonk (1984) 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 meters 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 VII-5 shows the input parameters obtained 

Title: Simulation of Net Infiltration for Modern and Potential Future Climates 
from 30MSITE.INP (with the exception of the 36 blocking ridge parameters) and 
Table VII-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 attachment to the AMR. 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 and 
others (1998). 
GEOMAP7.FOR: FORTRAN source code listing for the routine GEOMAP7 V1.0. 
A printout of the source code is included as part of this attachment. 
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 4 
columns and 57,038 rows. This file was developed in ARCINFO 
by a rasterization of the Day and others (1998) map coverage, 
(DTN: GS971208314221.003) 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 print-out of the first part of 
this file is included as part of this attachment. 
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 Attachment VI of this AMR 
for more details). A partial print-out of the first part of this file is 
included as part of this attachment. 

Title: Simulation of Net Infiltration for Modern and Potential Future Climates 
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 print-out of the first part of this file is included as part of 
this attachment. 
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 and others (1998) (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. 
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 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 

Title: Simulation of Net Infiltration for Modern and Potential Future Climates 
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 
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

Title: Simulation of Net Infiltration for Modern and Potential Future Climates 
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 and others (1998). 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 and others (1998) 
(DTN: GS971208314221.003) 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 
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

Title: Simulation of Net Infiltration for Modern and Potential Future Climates 
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 
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 

Title: Simulation of Net Infiltration for Modern and Potential Future Climates 
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 (See Attachment VIII). 
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

Title: Simulation of Net Infiltration for Modern and Potential Future Climates 
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

Title: Simulation of Net Infiltration for Modern and Potential Future Climates 
 Figures used as part of the routine test plan: 
UTM northing, in meters
4082500
4081250
4080000
4078750
4077500
4076250
546000 547667 549333 551000
UTM easting, in meters
1 612172328333944
Newgeol_dat_4: rock-type ID number
Figure VII-1. TRANSFORM map image of the rasterized central block geology map form Day 
and others (1998) (DTN: GS971208314221.003). 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) 

Title: Simulation of Net Infiltration for Modern and Potential Future Climates 
UTM northing (meters)
4087500
4085000
4082500
4080000
4077500
4075000
4072500
4070000
4067500
546000 550000 554000
UTM easting (meters)
25 50 75 100 125 150 175 200
_30msite_inp_11: bedrock identifier
Figure VII-2. TRANSFORM map image of the rock-type identification numbers representing the 
original bedrock geology input for INFIL V1.0 (Flint and others, 1996). 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. 

Title: Simulation of Net Infiltration for Modern and Potential Future Climates 
UTM northing (meters)
4087500
4085000
4082500
4080000
4077500
4075000
4072500
4070000
4067500
546000 550000 554000
UTM easting (meters)
50 100 150 200 250 300
Geomap7_inp: Bedrock identifier
Figure VII-3. TRANSFORM map image of the updated rock-type identification numbers created by 
GEOMAP7. The map image (GEOMAP7.HDF) was developed using column 11 of the 
file GEOMAP7.INP generated as output from GEOMAP7 V1.0. 

Title: Simulation of Net Infiltration for Modern and Potential Future Climates 
UTM northing (meters)
4082500
4081250
4080000
4078750
4077500
4076250
4075000
546000 547667 549333 551000
UTM easting (meters)
13 25 38 50 63
Geomap7_inp_11_rock-type number
Figure VII-4. TRANSFORM map image of the updated rock-type identification numbers created by
GEOMAP7. 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) geology map were left in place.

Title: Simulation of Net Infiltration for Modern and Potential Future Climates 
UTM northing (meters)
4082500
4081250
4080000
4078750
4077500
4076250
4075000
546000 547667 549333 551000
UTM easting (meters)
300 310 320 330 340
Geomap7_inp_11_rock-type number
Figure VII-5. TRANSFORM map image of the updated rock-type identification numbers created by
GEOMAP7. 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 and others (1998) geology map were exchanged for the original
rock-type numbers of the input file 30MSITE.INP.

Title: Simulation of Net Infiltration for Modern and Potential Future Climates 
UTM northing, in meters
4087500
4085000
4082500
4080000
4077500
4075000
4072500
4070000
4067500
546000 550000 554000
UTM easting, in meters
1.0 2.0 3.0 4.0
_30msite_inp_10: soil depth class 
Figure VII-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. 

Title: Simulation of Net Infiltration for Modern and Potential Future Climates 
 Tables used as part of the routine test plan: 
Table VII-1. Subset of raster grid matrix from the file NEWGEOL.DAT that is provided as input to 
GEOMAP7 V1.0. The rock-type identification numbers correspond to the geologic codes 
provided by Day and others (1998) 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 northing grid 
coordinates 
(meters) 
UTM easting 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 

Title: Simulation of Net Infiltration for Modern and Potential Future Climates 
Table VII-2. Subset of raster grid matrix for soil depth class from the file 30MSITE.INP (identical to the 
grid cell locations used in Table VII-1) that is provided as input to GEOMAP7 V1.0. Soil 
depth class values are provided in column 10 of 30MSITE.INP, and were used as input 
for INFIL V1.0 (Flint and others, 1996). The soil depth class values of 1 indicate thin 
upland soils ranging from 0 to 0.5 meters in thickness for all grid cell locations in the 
selected subset. 
UTM northing grid 
coordinates 
(meters) 
UTM easting 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 

Title: Simulation of Net Infiltration for Modern and Potential Future Climates 
Table VII-3. Subset of raster grid matrix from 30MSITE.INP (identical to the grid cell locations used in 
Table VII-1) showing rock-type identification numbers used in the geospatial parameter 
input file for INFIL V1.0 (Flint and others, 1996) and provided as input to GEOMAP7. The 
rock-type identifier codes correspond to the rasterized bedrock geology map of Scott and 
Bonk (1984). 
UTM northing grid 
coordinates 
(meters) 
UTM easting 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 

Title: Simulation of Net Infiltration for Modern and Potential Future Climates 
Table VII-4. Subset of raster grid matrix from GEOMAP7.INP (identical to the grid cell locations used 
in Tables VII-1 and VII-2) showing new rock-type identification numbers (values of 300 
and greater) created by GEOMAP7 using updated bedrock geology map from Day and 
others (1998). Rock-type identification numbers less than 300 indicate locations where 
the original rock-type used for INFIL V1.0 (Flint and others, 1996) was substituted back 
because the updated rock-type indicated alluvium or colluvium for locations having less 
than 6 meters of soil cover, as identified by the soil depth class map. 
UTM northing grid 
coordinates 
(meters) 
UTM easting 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 

Title: Simulation of Net Infiltration for Modern and Potential Future Climates 
Table VII-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. 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. 
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) 
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 

Title: Simulation of Net Infiltration for Modern and Potential Future Climates 
Table VII-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. The 
grid cell locations are identical to those indicated in Table VII-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) 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 and others (1998). 
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 
and others 
(1998) 
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 

Title: Simulation of Net Infiltration for Modern and Potential Future Climates 
 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 " " 
c " " 
c column 48 RIDGE(36) (last blocking ridge angle) 
c 

Title: Simulation of Net Infiltration for Modern and Potential Future Climates 
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
150read(8,*,end=160) nx,x3(n),y3(n),geo(n)
n = n + 1
goto 150
160n = n -1
write(*,*) n
pause
c
c---- read in original INFIL version 1.0 input file
c ---------------------------------------------
200read(9,*,END=900) locid,x2,y2,lat,lon,
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
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. 
1 sl,asp,elev,SOILTYPE,depthclass,ROCKTYPE, 
2 topoid,(ridge(j), j=1,36) 
c 
c 

Title: Simulation of Net Infiltration for Modern and Potential Future Climates 
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
900continue
close(10)
stop
end
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 

ATTACHMENT VIII
ADJUSTMENT OF THE SOIL DEPTH CLASS MAP USING GEOMOD4 V1.0
TOTAL PAGES: 20

Adjustment of the Soil Depth Class Map using GEOMOD4 V1.0 
1. 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
2. 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. 
3. 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 AMR. 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 attachment, 
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. The file GEOMOD4.INP is used directly as input to the routine 
SOILMAP6 V1.0 
4. 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. 

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 and 
others (1998) 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 meters 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 (see Attachment IX). 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. 

 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 
attachment. 
 Description of test(s) to be performed: 
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 (see Attachment VII). 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 Attachment VI for 
description of source data used for 30MSITE.INP) and a sequence of applied software 
routines described in Attachments VI through VII of this AMR. 

5. 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 pre-processing 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 (Figures VIII-1 and VIII-2) 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. Figure VIII-1 indicates the original soil depth class parameters consisting of 
integer values of 1 to 4 provided by column 10 of the input file GEOMAP7.INP. Figure VIII2 
indicates the modified soil depth class parameters consisting of integer values of 1 to 6 
obtained from the output file GEOMOD4.INP. Visual comparison of the two figures 
indicates that the intended modification of the soil depth class parameters has been correctly 
performed. 
Tables VIII-1 through VIII-4 indicate 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). Table VIII-1 indicates 
the integer values of 1 to 4 for soil depth class obtained from column 10 of the input file, and 
Table VIII-2 indicates integer values of 17 to 325 for rock-type obtained from column 11 of 
the input file. Inspection of Tables VIII-3 and VIII-4 indicates that the correct modifications 
were performed to the soil depth class and the rock-type parameters based on the 
combination of the input soil depth class and rock-type values. For example, the grid cell 
located at 547241 easting and 4079703 northing has an input soil depth class of 3 and a rock-
type of 301. Rock-type values of 301 and 302 indicate unconsolidated material based on the 
Day and others (1998) updated geology for the central block area, and thus there is an 
inconsistency between the intermediate soil depth class and the rock-type for this grid cell. 
Table VIII-3 indicates that GEOMOD4 has correctly changed the soil depth class to 5, and 
Table VIII-4 indicates that GEOMOD4 has correctly estimated the underlying rock-type to 
be 19 based on the value for the adjacent grid cell. This 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 meters 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 VIII-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 VIII-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. 
 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. 
 Electronic files identified by name and location: 
Electronic files are located on CD-ROM labeled GEOINPUT-1, under the directory 
GEOMOD4, included as an attachment to the AMR. The following electronic files 
GEOMOD4.FOR: FORTRAN source code listing for the routine GEOMOD4 V1.0. A 
printout of the source code is included 
as part of this attachment. 
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 (see Attachment VII). A 
partial print-out of the first part of this file is included as part of 
this attachment. 
are provided: 
GEOMOD4.CTL: Input file consisting of the input and output file names for 
GEOMOD4. 

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 attachment. 
GEOMAP7B.HDF: TRANSFORM raster-based map image (Figure VIII-1) 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 (Figure VIII-2) of the 
modified soil depth class parameters obtained from column 10 of 
the output 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. 
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 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 
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 
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: 
UTM northing (meters)
4087500
4085000
4082500
4080000
4077500
4075000
4072500
4070000
4067500
546000 548667 551333 554000
UTM easting (meters)
1.0 1.5 2.0 2.5 3.0 3.5
Geomap7_inp_10: soil depth class
Figure VIII-1. TRANSFORM map image (file GEOMAP7B.HDF) of soil depth class obtained from 
column 10 of the input file GEOMAP7.INP. 

UTM northing (meters)
4087500
4085000
4082500
4080000
4077500
4075000
4072500
4070000
4067500
546000 548667 551333 554000
UTM easting (meters)
123456
geomod4_inp_10: soil depth class 
Figure VIII-2. TRANSFORM map image (file GEOMOD4A.HDF) of modified soil depth class 
parameters obtained from column 10 of the output file GEOMOD4.INP generated by 
GEOMOD4 V1.0 showing integer values ranging from 1 to 6. 

 Tables used as part of the routine test plan: 
Table VIII-1. Soil depth classes obtained from column 10 of the input file GEOMAP7.INP, showing 
integer values ranging from 1 to 4 for a subset of grid cells located in upper Solitario 
Canyon. 
UTM northing 
grid 
coordinates 
(meters) 
UTM easting grid coordinates (meters) 
547211 547241 547271 547301 547331 547361 547391 547421 
4079703 1 3 4 4 3 2 1 1 
4079673 2 1 3 4 3 2 1 1 
4079643 1 2 3 3 3 2 1 1 
4079613 1 1 2 3 3 1 1 1 
4079583 1 1 2 3 3 1 1 1 
4079553 1 1 2 3 3 1 1 1 
4079523 1 1 3 4 3 1 1 1 
4079493 1 1 3 3 1 1 1 1 
4079463 1 1 3 3 1 1 1 1 
4079433 1 3 4 3 1 1 1 1 
4079403 1 3 4 3 1 1 1 1 
4079373 3 3 4 3 1 1 1 1 
4079343 3 4 4 3 1 1 3 3 
4079313 4 4 4 4 3 3 3 3 
4079283 4 4 4 4 4 4 3 1 
4079253 4 4 4 4 4 4 4 3 
4079223 4 4 4 4 4 3 3 3 
4079193 4 4 4 4 3 1 1 1 
4079163 4 4 4 4 3 1 1 1 
4079133 4 4 3 3 1 1 1 1 
4079103 4 4 3 1 1 1 1 1 
4079073 4 4 3 3 1 1 1 1 
4079043 4 4 3 3 1 1 1 1 
4079013 4 3 1 1 1 1 1 1 
4078983 4 3 1 1 1 1 1 1 
4078953 3 3 1 1 1 1 1 1 
4078923 3 1 2 1 1 1 1 1 
4078893 3 1 1 1 1 1 1 1 
4078863 3 3 2 1 1 1 1 1 
4078833 3 1 2 1 1 1 1 1 
4078803 3 1 2 2 1 1 1 1 
4078773 3 3 2 2 1 1 1 1 
4078743 3 1 2 1 1 1 1 1 

Table VIII-2. Rock-type numbers obtained from column 11 of the input file GEOMAP7.INP, showing 
integer values ranging from 1 to 345 for a subset of grid cells located in upper Solitario 
Canyon. 
UTM northing 
grid 
coordinates 
(meters) 
UTM easting grid coordinates (meters) 
547211 547241 547271 547301 547331 547361 547391 547421 
4079703 301 301 301 301 301 31 320 319 
4079673 19 301 301 301 301 31 320 319 
4079643 314 19 301 301 301 31 320 319 
4079613 314 314 18 301 301 321 320 320 
4079583 314 314 17 301 301 321 320 320 
4079553 314 314 17 301 313 321 321 320 
4079523 314 314 17 301 313 321 320 320 
4079493 314 314 17 301 313 321 320 320 
4079463 314 314 301 313 313 321 320 320 
4079433 314 17 301 313 320 321 320 320 
4079403 314 17 301 313 320 321 320 320 
4079373 17 17 301 313 320 321 320 320 
4079343 17 301 301 313 320 321 321 320 
4079313 301 301 301 313 320 321 321 320 
4079283 301 301 301 313 320 321 321 320 
4079253 301 301 301 313 320 321 321 324 
4079223 301 301 301 313 320 321 321 324 
4079193 301 301 301 313 320 321 321 324 
4079163 301 301 301 313 319 321 321 324 
4079133 301 301 301 313 314 319 321 324 
4079103 301 301 301 313 314 319 319 324 
4079073 301 301 313 313 314 319 319 324 
4079043 301 301 313 313 314 319 319 324 
4079013 301 301 313 313 314 319 319 325 
4078983 301 301 313 313 314 314 319 325 
4078953 301 301 313 314 314 313 323 325 
4078923 301 301 16 314 313 311 323 325 
4078893 301 302 313 314 314 313 325 325 
4078863 301 302 30 314 314 314 325 324 
4078833 301 302 30 314 314 314 325 324 
4078803 301 302 30 28 315 315 325 324 
4078773 302 302 30 28 315 319 325 324 
4078743 302 302 30 314 314 319 325 324 

Table VIII-3. Soil depth classes obtained from column 10 of the output file GEOMOD4.INP, showing 
integer values ranging from 1 to 6 for a subset of grid cells located in upper Solitario 
Canyon. 
UTM northing 
grid 
coordinates 
(meters) 
UTM easting 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 

Table VIII-4. Rock-type numbers obtained from column 11 of the output file GEOMOD4.INP, showing 
integer values ranging from 1 to 345 for a subset of grid cells located in upper Solitario 
Canyon. 
UTM northing 
grid 
coordinates 
(meters) 
UTM easting 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 

 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:
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
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. 
col(n) = coln 
row(n) = rown 
coln = coln + 1 
yold = y(n)
geo(row(n),col(n)) = rocktype 
n = n + 1
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

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
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.
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
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
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 

ATTACHMENT IX
ESTIMATION OF SOIL DEPTH USING SOILMAP6 V1.0
TOTAL PAGES: 25

Estimation of Soil Depth using SOILMAP6 V1.0 
1. 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
2. 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. 
3. 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 AMR. 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 attachment, 
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. The file SOILMAP6 is used directly as 
input to the routine SORTGRD1 V1.0 
4. 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 ground surface 

slope parameters obtained from the file 30msite.inp1. 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 
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 
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
D = 2.0 S > 25
For depth class 4, soil depth is set to a uniform depth of 6 meters. 
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 provides a final consistency check to ensure 
that no grid cell locations have a combination of a soil depth class indicating thin soils 
1 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. 
defined by: 
D = 0.03 * S + 0.1, S  10 
D = 0.013 * (10 - S) + 0.4, 10 < S < 40 
D = 0.01, S  40 

(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 
attachment. 
 Description of test(s) to be performed: 
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. 
 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 (see Attachment VIII). 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 Attachment VII for 
description of source data used for 30MSITE.INP) and a sequence of applied software 
routines described in Attachments VII through VIII of this AMR. 
5. 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 pre-processing 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 IX-1 through IX-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 IX-1 and IX-2 indicates that 
the re-defined soil depth classes are consistent with calculated ground surface slope. Figure 
IX-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 IX-2 and IX-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 meters and greater match the 
area of soil depth class 4, and thin soils of 0.5 meters and less match the area of depth class 1. 
Figure IX-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 (< 0.1 meters) coincide with locations 
having high slope values (> 30 degrees). Locations with relatively high soil thickness 
estimates (> 0.35 meters) for depth class 1 coincide with low and intermediate slope values 
(< 20 degrees). Figure IX-5 indicates the expected result for soil thickness estimates in the 
intermediate depth classes (2, 3, 5, and 6). The soil thickness estimates range from 
approximately 0.5 to < 6.0 meters 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 IX-1 and IX-2 indicate the values of input parameters obtained from GEOMOD4.INP 
(Table IX-1 shows the soil depth class number and Table IX-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 IX3 
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 IX-4 indicates the 
values of calculated ground surface slope obtained from the input file that are used in 
calculating soil thickness estimates. Table IX-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 meters 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 meters 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. 
 Electronic files identified by name and location: 
Electronic files are located on CD-ROM labeled GEOINPUT-1, under the directory 
SOILMAP6, included as an attachment to the AMR. 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 attachment. 

SOILMAP6.EXE: Executable file for the routine SOILMAP6 V1.0, compiled for INTEL 
GEOMOD4.INP: 
processors. 
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 (see Attachment VIII). A partial printout 
of the first part of this file is included as part of this attachment. 
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 attachment. 
30MSLOPE.HDF: TRANSFORM raster-based map image (Figure IX-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 IX-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. 
SOILMP61.HDF: TRANSFORM raster-based map image (Figure IX-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 IX-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 IX-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. 

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 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). 
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
 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 
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: 
UTM northing (meters) 
4087500
4085000
4082500
4080000
4077500
4075000
4072500
4070000
4067500
546000 548667 551333 554000
UTM easting (meters)
0 5 1015202530354045
_30msite_inp_6: ground surface slope (degrees)
Figure IX-1. TRANSFORM map image (file 30MSLOPE.HDF) created using the input parameter ground 
surface slope from column 6 of the input file GEOMOD4.INP. 

UTM northing (meters) 
4087500 
4085000 
4082500 
4080000 
4077500 
4075000 
4072500 
4070000 
4067500 
545000 547500 550000 552500 555000 
UTM easting (meters) 
123456 
soilmap6_inp_10: output soil depth class 
Figure IX-2. TRANSFORM map image (file SOILM6DC.HDF) of the finalized soil depth class obtained 
from column 10 of the output file SOILMAP6.INP, showing integer values ranging from 
1 to 6. 

UTM northing (meters) 
4087500 
4085000 
4082500 
4080000 
4077500 
4075000 
4072500 
4070000 
4067500 
546000 548667 551333 554000 
UTM easting (meters) 
12345 
soilmap6_inp_11: output soil depth (meters) 
Figure IX-3. TRANSFORM map image (file SOILMP61.HDF) created using the estimated soil thickness 
from column 11 of the output file SOILMAP6.INP, showing the full range of estimated soil 
thickness of 0.01 to 6 meters (a soil thickness of 6 meters represents locations where 
actual soil thickness is 6 meters and greater). 

UTM northing (meters) 
4087500
4085000
4082500
4080000
4077500
4075000
4072500
4070000
4067500
546000 548667 551333 554000
UTM easting (meters)
0.05 0.15 0.25 0.35 0.45 
soilmap6_inp_11: output soil depth (meters) 
Figure IX-4. TRANSFORM map image (file SOILMP62.HDF) created using the estimated soil thickness 
from column 11 of the output file SOILMAP6.INP, showing estimated soil thickness for 
locations with thin soils. 

UTM northing (meters) 
4087500
4085000
4082500
4080000
4077500
4075000
4072500
4070000
4067500
546000 548667 551333 554000
UTM easting (meters)
1.0 2.0 3.0 4.0 5.0 
soilmap6_inp_11: output soil depth (meters) 
Figure IX-5. TRANSFORM map image (file SOILMP63.HDF) created using the estimated soil thickness 
from column 11 of the output file SOILMAP6.INP, showing estimated soil thickness for 
locations with intermediate soil thickness. 

 Tables used as part of the routine test plan: 
Table IX-1. Soil depth classes obtained from column 10 of the input file GEOMOD4.INP, showing integer 
values ranging from 1 to 6 for a subset of grid cells located in upper Solitario Canyon. 
UTM 
northing 
grid 
coordinates 
(meters) 
UTM easting 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 

Table IX-2. Rock-type numbers obtained from column 11 of the input file GEOMOD4.INP, showing 
integer values ranging from 16 to 325 for a subset of grid cells located in upper Solitario 
Canyon. 
UTM 
northing 
grid 
coordinates 
(meters) 
UTM easting 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 

Table IX-3. Finalized soil depth classes generated by SOILMAP6 and included in column 10 of the output 
file SOILMAP6.INP, showing values ranging from 1 to 6 for a subset of grid cells located in 
upper Solitario Canyon. 
UTM 
northing 
grid 
coordinates 
(meters) 
UTM easting 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 

Table IX-4. Calculated ground surface slope obtained from column 6 of the input file GEOMOD4.INP, 
showing values ranging from 1 to 345 for a subset of grid cells located in upper Solitario 
Canyon. 
UTM 
northing 
grid 
coordinates 
(meters) 
UTM easting 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 

Table IX-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, the table shows estimated 
soil thickness ranging from 0.24 meters for grid cells in soil depth class 1 with a slope of 22 
degrees to 6 meters and greater for grid cells in soil depth class 4. 
UTM 
northing 
Grid 
coordinates 
(meters) 
UTM easting 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 

 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 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
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 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
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
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 

endif
c
c---- depthclass 2 = colluvium (footslopes)
else if(depthclass.eq.2) then
c
if((rocktype.eq.0).or.
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)
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 

write(11,215) x2,y2,soiltype,rocktype,depthclass,
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
1 sl,depth 
c 
endif 
c 
c 

c
n2 = n2 + 1
goto 200
c
900 continue
close(10)
close(11)
stop
end

ATTACHMENT XDEVELOPMENT OF FLOW ROUTING PARAMETERS USING
SORTGRD1 V1.0
TOTAL PAGES: 19

Development of Flow Routing Parameters using SORTGRD1 V1.0 
1. 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
2. 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. 
3. 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 AMR. 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 
attachment, are located under the directory SORTGRD1 on a CD-ROM labeled GEOINPUT2. 
The routine source code, control file, and the input and output files are ASCII text filesthat 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. The file 30MGRD01.SR1 
is used directly as input to the routines CHNNET16 V1.0 and VEGCOV01 V1.0. 
4. 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 pre-processing 

application performed by SORTGRD1 V1.0 is the initial phase of the pre-processing 
applications required to develop surface water flow routing 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 
attachment. 
 Description of test(s) to be performed: 
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 selection of the 
input printout is in Table X-1; and the output printout is in Table X-2. 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. 
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 place holder 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 (see Attachment IX). 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 meters), UTM northing coordinate values 
(4,067,133 to 4,087,833 meters), and the grid cell number (integers from 1 to 253,597). 
5. 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 pre-processing 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 (Table X-1) and the sorted (descending order) row-sequence of 
elevation values in the output file (Table X-2). 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 (Figure X-1) 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 (Figure X-2) 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 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 is 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 
SORTGRD1, included as an attachment to the AMR. 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 attachment. 
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 (see Attachment IX). A partial printout of 
the first part of this file is included as part of this attachment. 

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 (see Attachment XI). Columns 9 and 10 
are place holder values added by SORTGRD1 for two vegetation 
parameters (all values are 99). A partial printout of the first part of 
this file is included as part of this attachment. 
SRT-ROW.HDF: TRANSFORM map image of the row index (Figure X-1). This file is 
used only as supporting information for the test plan. 
SRT-COL.HDF: TRANSFORM map image of the column index (Figure X-2). This file 
is used only as supporting information for the test plan. 
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 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 window, 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 
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 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 
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 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

 Figures used as part of the routine test plan: 
4087500
4085000
4082500
4080000
4077500
4075000
4072500
4070000
4067500
546000 550000 554000
UTM easting (meters)
UTM northing (meters) 
125 250 375 500 625
_30mgrd01_sr1_6: row index
Figure X-1. TRANSFORM map image (file SRT-ROW.HDF) of the grid cell row index parameter 
calculated by SORTGRD1 V1.0. 

UTM northing (meters) 
4087500
4085000
4082500
4080000
4077500
4075000
4072500
4070000
4067500
546000 548667 551333 554000
UTM easting (meters)
50 100 150 200 250 300 350
_30mgrd01_sr1_7: column index
Figure X-2. TRANSFORM map image (file SRT-COL.HDF) of the grid cell column index parameter 
calculated by SORTGRD1 V1.0. 

 Tables used as part of the routine test plan: 
Table X-1. Selection of input for SORTGRD1 indicating unsorted elevations and grid cell coordinates 
obtained from the file SOILMAP6.INP. Also shown are the grid cell row and column indices 
of the raster-based grid defined by the grid cell coordinates. 
2 544691 4087833 36.9373 116.4981 1 2 1750 
3 544721 4087833 36.9373 116.4978 1 3 1767 
4 544751 4087833 36.9373 116.4975 1 4 1781 
5 544781 4087833 36.9373 116.4971 1 5 1794 
6 544811 4087833 36.9373 116.4968 1 6 1807 
7 544841 4087833 36.9373 116.4965 1 7 1824 
8 544871 4087833 36.9373 116.4961 1 8 1838 
9 544901 4087833 36.9373 116.4958 1 9 1851 
10 544931 4087833 36.9373 116.4955 1 10 1854 
11 544961 4087833 36.9373 116.4951 1 11 1846 
12 544991 4087833 36.9373 116.4948 1 12 1836 
13 545021 4087833 36.9373 116.4944 1 13 1829 
14 545051 4087833 36.9373 116.4941 1 14 1833 
15 545081 4087833 36.9373 116.4938 1 15 1843 
16 545111 4087833 36.9373 116.4934 1 16 1852 
17 545141 4087833 36.9373 116.4931 1 17 1858 
18 545171 4087833 36.9373 116.4928 1 18 1861 
19 545201 4087833 36.9373 116.4924 1 19 1862 
20 545231 4087833 36.9373 116.4921 1 20 1861 
21 545261 4087833 36.9373 116.4917 1 21 1854 
22 545291 4087833 36.9373 116.4914 1 22 1846 
23 545321 4087833 36.9373 116.4911 1 23 1841 
24 545351 4087833 36.9373 116.4907 1 24 1836 
25 545381 4087833 36.9373 116.4904 1 25 1821 
26 545411 4087833 36.9373 116.4901 1 26 1805 
27 545441 4087833 36.9373 116.4897 1 27 1791 
28 545471 4087833 36.9373 116.4894 1 28 1777 
29 545501 4087833 36.9373 116.4891 1 29 1765 
30 545531 4087833 36.9373 116.4887 1 30 1763 
31 545561 4087833 36.9373 116.4884 1 31 1766 
32 545591 4087833 36.9373 116.488 1 32 1772 
33 545621 4087833 36.9373 116.4877 1 33 1781 
34 545651 4087833 36.9373 116.4874 1 34 1789 
Grid Cell 
Identifier 
UTM 
northing 
(meters) 
UTM easting 
(meters) 
Latitude 
(decimal 
degrees) 
Longitude 
(decimal 
degrees) 
Grid cell row 
index 
Grid cell 
column 
index 
Elevation 
(feet) 
1 544661 4087833 36.9373 116.4985 1 1 1739 

UTM Latitude Longitude Grid cell
Grid Cell (decimal Grid cell row Elevation
northing UTM easting (decimal index index (feet)column
Identifier 
(meters) (meters) degrees) degrees) 
35 545681 4087833 36.9373 116.487 1 35 1799 
36 545711 4087833 36.9373 116.4867 1 36 1805 
37 545741 4087833 36.9373 116.4864 1 37 1807 
38 545771 4087833 36.9373 116.486 1 38 1814 
39 545801 4087833 36.9373 116.4857 1 39 1825 
40 545831 4087833 36.9373 116.4853 1 40 1840 
41 545861 4087833 36.9373 116.485 1 41 1854 
42 545891 4087833 36.9373 116.4847 1 42 1863 
43 545921 4087833 36.9372 116.4843 1 43 1868 
44 545951 4087833 36.9372 116.484 1 44 1868 
45 545981 4087833 36.9372 116.4837 1 45 1867 
46 546011 4087833 36.9372 116.4833 1 46 1871 
47 546041 4087833 36.9372 116.483 1 47 1881 
48 546071 4087833 36.9372 116.4827 1 48 1898 
49 546101 4087833 36.9372 116.4823 1 49 1920 
50 546131 4087833 36.9372 116.482 1 50 1939 
51 546161 4087833 36.9372 116.4816 1 51 1955 
52 546191 4087833 36.9372 116.4813 1 52 1969 
53 546221 4087833 36.9372 116.481 1 53 1969 
54 546251 4087833 36.9372 116.4806 1 54 1950 
55 546281 4087833 36.9372 116.4803 1 55 1932 
56 546311 4087833 36.9372 116.48 1 56 1919 
57 546341 4087833 36.9372 116.4796 1 57 1910 
58 546371 4087833 36.9372 116.4793 1 58 1900 
59 546401 4087833 36.9372 116.4789 1 59 1889 
60 546431 4087833 36.9372 116.4786 1 60 1878 
61 546461 4087833 36.9372 116.4783 1 61 1869 
62 546491 4087833 36.9372 116.4779 1 62 1857 
63 546521 4087833 36.9372 116.4776 1 63 1841 
64 546551 4087833 36.9372 116.4773 1 64 1821 
65 546581 4087833 36.9372 116.4769 1 65 1803 

Table X-2. Selection from the output file 30MGRD01.SR1, indicating elevation values are arranged in 
descending order. Also indicated are the modified grid cell identifier numbers and the grid 
cell indices that are included in the output file. 
2 546221 4087833 36.9372 116.481 1 53 1969 
3 546191 4087803 36.937 116.4813 2 52 1959 
4 546161 4087833 36.9372 116.4816 1 51 1955 
5 546221 4087803 36.937 116.481 2 53 1955 
6 546191 4087773 36.9367 116.4813 3 52 1951 
7 546251 4087833 36.9372 116.4806 1 54 1950 
8 546161 4087803 36.937 116.4816 2 51 1949 
9 549311 4087833 36.9371 116.4463 1 156 1944 
10 546221 4087773 36.9367 116.481 3 53 1944 
11 546161 4087773 36.9367 116.4816 3 51 1943 
12 546191 4087743 36.9364 116.4813 4 52 1942 
13 546131 4087833 36.9372 116.482 1 50 1939 
14 549281 4087833 36.9371 116.4466 1 155 1939 
15 549341 4087833 36.9371 116.4459 1 157 1939 
16 546251 4087803 36.937 116.4806 2 54 1938 
17 546161 4087743 36.9364 116.4816 4 51 1937 
18 546131 4087803 36.937 116.482 2 50 1933 
19 546281 4087833 36.9372 116.4803 1 55 1932 
20 549371 4087833 36.9371 116.4456 1 158 1932 
21 546221 4087743 36.9364 116.481 4 53 1932 
22 546191 4087713 36.9362 116.4813 5 52 1932 
23 549311 4087803 36.9368 116.4463 2 156 1931 
24 546161 4087713 36.9362 116.4817 5 51 1930 
25 549281 4087803 36.9368 116.4466 2 155 1929 
26 546251 4087773 36.9367 116.4806 3 54 1928 
27 546131 4087773 36.9367 116.482 3 50 1927 
28 549401 4087833 36.9371 116.4453 1 159 1926 
29 549251 4087833 36.9371 116.4469 1 154 1924 
30 549341 4087803 36.9368 116.4459 2 157 1924 
31 549431 4087833 36.9371 116.4449 1 160 1922 
32 546131 4087743 36.9364 116.482 4 50 1922 
33 546221 4087713 36.9362 116.481 5 53 1922 
34 546161 4087683 36.9359 116.4817 6 51 1922 
35 546281 4087803 36.937 116.4803 2 55 1921 
36 546101 4087833 36.9372 116.4823 1 49 1920 
Grid Cell 
Identifier 
UTM 
northing 
(meters) 
UTM easting 
(meters) 
Latitude 
(decimal 
degrees) 
Longitude 
(decimal 
degrees) 
Grid cell row 
index 
Grid cell 
column 
index 
Elevation 
(feet) 
1 546191 4087833 36.9372 116.4813 1 52 1969 

Grid Cell 
Identifier 
UTM 
northing 
(meters) 
UTM easting 
(meters) 
Latitude 
(decimal 
degrees) 
Longitude 
(decimal 
degrees) 
Grid cell row 
index 
Grid cell 
column 
index 
Elevation 
(feet) 
37 546191 4087683 36.9359 116.4813 6 52 1920 
38 546311 4087833 36.9372 116.48 1 56 1919 
39 549281 4087773 36.9365 116.4466 3 155 1918 
40 549251 4087803 36.9368 116.4469 2 154 1917 
41 546131 4087713 36.9362 116.482 5 50 1917 
42 549371 4087803 36.9368 116.4456 2 158 1916 
43 546251 4087743 36.9364 116.4806 4 54 1916 
44 549311 4087773 36.9365 116.4463 3 156 1913 
45 546131 4087683 36.9359 116.482 6 50 1912 
46 549461 4087833 36.9371 116.4446 1 161 1911 
47 546101 4087803 36.937 116.4823 2 49 1911 
48 549251 4087773 36.9365 116.4469 3 154 1911 
49 546161 4087653 36.9356 116.4817 7 51 1911 
50 546341 4087833 36.9372 116.4796 1 57 1910 
51 549401 4087803 36.9368 116.4453 2 159 1910 
52 546281 4087773 36.9367 116.4803 3 55 1910 
53 546221 4087683 36.9359 116.481 6 53 1908 
54 546191 4087653 36.9356 116.4813 7 52 1908 
55 549431 4087803 36.9368 116.4449 2 160 1907 
56 546311 4087803 36.937 116.48 2 56 1905 
57 546101 4087773 36.9367 116.4823 3 49 1905 
58 546251 4087713 36.9362 116.4806 5 54 1905 
59 549221 4087833 36.9371 116.4473 1 153 1904 
60 549341 4087773 36.9365 116.4459 3 157 1904 
61 549281 4087743 36.9363 116.4466 4 155 1903 
62 546131 4087653 36.9356 116.482 7 50 1903 
63 549461 4087803 36.9368 116.4446 2 161 1902 
64 546101 4087743 36.9364 116.4823 4 49 1901 
65 549251 4087743 36.9363 116.447 4 154 1901 

 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 
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) 
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 
row(i) = row2 
enddo 
jid = j 
endif 
610 continue 
c 
el(jid) = el(i)

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
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 
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 

ATTACHMENT XICALCULATION OF FLOW ROUTING PARAMETERS USING
CHNNET16 V1.0
TOTAL PAGES: 23

Calculation of Flow Routing Parameters using CHNNET16 V1.0 
1. 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
2. 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. 
3. 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 AMR. 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 attachment, 
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. The output file created by CHNNET16 is used directly 
as input to the routine WATSHD20 V1.0. 
4. 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 (see Attachment X). 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 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 (see Attachment XIV). 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 
attachment. 
 Description of test(s) to be performed: 
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 
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 (see Attachments X and XI). 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. 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 Attachment VI for description of source data used for 
30MSITE.INP) and a sequence of applied software routines described in Attachments VI 
through X of this AMR. 
5. 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 pre-processing 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 (Figures XI-1 to XI-3) 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. Figure XI-1 indicates the major stream channels (channels having more than 
10,000 upstream grid cells) defined by the flow accumulation term on the scale of the net 
infiltration model. 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. 
Figure XI-2 indicates the major stream channels (channels having more than 1,000 upstream 
grid cells) defined by the flow accumulation term for the area of the UZ ground water flow 
model. The stream channel network defined by the flow accumulation term is consistent 
with the known locations of channels such as Pagany Wash, Wren Wash, Coyote Wash, WT2 
Wash, and Abandoned Wash. Figure XI-3 indicates a more detailed view of the flow 
accumulation term over the area of the potential repository and the ESF. The overlay of the 
flow accumulation term with the shaded relief map image and the elevation contours shows 
the correct locations of surface water flow divides and the stream channel network relative to 
topography (divides are along ridgetops and streams are in valley bottoms). In addition, 
Figure XI-3 shows that the flow accumulation term increases with decreasing elevation, and 
this indicates that the flow routing parameters have been correctly calculated by the routine. 
Tables XI-1 through XI-4 indicate the input and output parameter values for the subset of 
grid cells extracted from the input and output files using TRANSFORM. Table XI-1 
indicates the grid cell elevation and Table XI-2 indicates the grid cell number obtained from 

the input file 30MGRD01.SR1. Inspection of the elevation values and the corresponding 
grid cell numbers indicates that surface water flow should be routed downstream to grid cell 
73,045 from grid cells 72,096, 72,424, and 71,468 (located in right half of the top row of 
each table). Inspection of Table XI-3 indicates that the routine has functioned properly 
because all three cells indicate routing to cell 73,045. The flow accumulation term (Table 
XI-4) indicates an accumulated flow term of 1,389 for grid cell 73,045. The accumulated 
flow term in Table XI-4 is checked by adding the number of cells routing to 73,045 to the 
flow being routed from those grid cells: (3) + (2 + 1,382 + 2). The manual calculation shows 
that the expected flow routed to 73,045 is 1,389 and this agrees with the value in Table XI-4. 
This method of manual checking was repeated using the input and output parameters shown 
in the tables and the output results were found to be in agreement with the expected results, 
indicating that the functions of CHNNET16 V1.0 were executing correctly and performing 
the intended operations. 
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 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-2, under the directory 
CHNNET16, included as an attachment to the AMR. 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 attachment. 
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 (see Attachment IX). A partial printout of 
the first part of this file is included as part of this attachment. 
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 (Figure XI-1). 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 (Figure XI-2). 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 flow accumulation for the 
potential repository area (Figure XI-3). 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. The file is used to 
create Table XI-1 for the software routine validation test and is 
provided as supporting information. This file is not a part of the 
routine application. 
CHN-R1.HDF: TRANSFORM raster-based map image of the first flow routing 
parameter obtained from column 1 of the input file 30MGRD01.SR1. 
The file is used to create Table XI-2 for the software routine validation 
test and is provided as supporting information. This file is not a part of 
the routine application. 
CHN-R2.HDF: TRANSFORM raster-based map image of the second flow routing 
parameter obtained from column 7 of the output file 30MGRD01.C16. 
The file is used to create Table XI-3 for the software routine validation 
test and is provided as supporting information. 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. The file is used to create Table XI-4 for the 
software routine validation test and is provided as supporting 
information. 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 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 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 
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 
546221.0 4087833.0 1 53 
546191.0 4087803.0 2 52 
546161.0 4087833.0 1 51 
546221.0 4087803.0 2 53 
546191.0 4087773.0 3 52 
546251.0 4087833.0 1 54 
546161.0 4087803.0 2 51 
549311.0 4087833.0 1 156 
546221.0 4087773.0 3 53 
546161.0 4087773.0 3 51 
546191.0 4087743.0 4 52 
546131.0 4087833.0 1 50 
549281.0 4087833.0 1 155 
549341.0 4087833.0 1 157 
546251.0 4087803.0 2 54 
546161.0 4087743.0 4 51 
546131.0 4087803.0 2 50 
546281.0 4087833.0 1 55 
549371.0 4087833.0 1 158 
1 -3 0 0 0.00000 -1.0
2 -3 0 0 0.00000 -1.0
3 0 11 0 0.00000 -1.0
4 -3 0 0 0.00000 -1.0
5 0 26 0 0.00000 -1.0
6 0 21 0 0.00000 -1.0
7 -3 0 0 0.00000 -1.0
8 0 27 0 0.00000 -1.0
9 -3 0 0 0.00000 -1.0
10 0 43 0 0.00000 -1.0
11 11 32 0 1.00000 -1.0
12 0 33 0 0.00000 -1.0
13 -3 0 0 0.00000 -1.0
14 -3 0 0 0.00000 -1.0
15 -3 0 0 0.00000 -1.0
16 0 52 0 0.00000 -1.0
17 0 41 0 0.00000 -1.0
18 0 57 0 0.00000 -1.0
19 -3 0 0 0.00000 -1.0
20 -3 0 0 0.00000 -1.0

 Figures used as part of the routine test plan: 
Flow 
0 
1 -10 
10 -100 
100 -1,000 
1,000 -10,000 
> 10,000 
Figure XI-1. ARCVIEW map image (project CHN16-A.APR) of the flow accumulation term calculated by 
CHNNET16 V1.0, indicating the stream channel network for the area of the net infiltration 
model. 
Accumulation 
(number of 
upstream cells) 

Flow 
0 
1 -10 
10 -100 
100 -1,000 
1,000 -10,000 
> 10,000 
Figure XI-2. ARCVIEW map image (project file CHN16-B.APR) of the flow accumulation term calculated 
by CHNNET16 V1.0, indicating the stream channel network for the UZ model area. 
Accumulation 
(number of 
upstream cells) 

Flow 
0 
1 -10 
10 -100 
100 -1,000 
1,000 -10,000 
> 10,000 
Figure XI-3. ARCVIEW map image (project file CHN16-C.APR) of the flow accumulation term calculated 
by CHNNET16 V1.0, indicating the stream channel network for drainages crossing the ESF 
(elevation contour interval is 10 meters). 
Accumulation 
(number of 
upstream cells) 

 Tables used as part of the routine test plan: 
Table XI-1. Grid cell elevation (in meters) obtained from column 8 of the input file 30MGRD01.SR1, 
showing elevation values for a subset of grid cells located in upper Solitario Canyon (subset 
was extracted from the TRANSFORM file CHN-ELEV.HDF). 
UTM 
northing 
grid 
coordinates 
(meters) 
UTM easting grid coordinates (meters) 
547181 547211 547241 547271 547301 547331 547361 547391 
4079703 1364 1356 1354 1354 1353 1352 1355 1364 
4079673 1369 1358 1352 1352 1351 1350 1354 1364 
4079643 1371 1362 1354 1350 1349 1348 1353 1362 
4079613 1370 1362 1355 1350 1346 1346 1350 1359 
4079583 1367 1360 1354 1349 1347 1345 1350 1357 
4079553 1363 1357 1351 1347 1345 1345 1348 1356 
4079523 1360 1353 1347 1345 1343 1343 1349 1357 
4079493 1356 1349 1344 1343 1342 1343 1350 1359 
4079463 1352 1345 1341 1341 1341 1343 1349 1358 
4079433 1348 1342 1340 1340 1340 1343 1349 1357 
4079403 1344 1340 1338 1338 1339 1343 1350 1358 
4079373 1341 1338 1337 1337 1339 1343 1351 1358 
4079343 1338 1336 1336 1336 1339 1342 1348 1355 
4079313 1335 1334 1334 1335 1338 1342 1347 1354 
4079283 1334 1332 1333 1334 1337 1341 1348 1355 
4079253 1332 1331 1331 1333 1336 1340 1347 1356 
4079223 1330 1330 1330 1331 1335 1339 1345 1353 
4079193 1329 1328 1329 1330 1334 1338 1344 1352 
4079163 1328 1327 1327 1329 1333 1338 1344 1351 
4079133 1327 1326 1327 1328 1331 1338 1344 1352 
4079103 1326 1325 1326 1328 1332 1338 1345 1352 
4079073 1324 1324 1324 1327 1332 1337 1344 1352 
4079043 1323 1322 1323 1326 1332 1338 1345 1352 
4079013 1321 1321 1322 1327 1333 1340 1346 1353 
4078983 1320 1320 1322 1326 1332 1338 1344 1351 
4078953 1318 1318 1321 1327 1333 1339 1345 1352 
4078923 1316 1317 1320 1328 1335 1342 1349 1356 
4078893 1315 1316 1320 1327 1334 1341 1348 1355 
4078863 1314 1316 1320 1327 1334 1341 1348 1355 
4078833 1314 1316 1321 1328 1336 1343 1350 1357 
4078803 1314 1316 1321 1328 1335 1342 1349 1356 
4078773 1312 1315 1320 1327 1334 1342 1349 1356 
4078743 1311 1315 1320 1329 1336 1342 1349 1355 

Table XI-2. Grid cell number (first flow routing parameter) obtained from column 1 of the input file 
30MGRD01.SR1, showing grid cell ordering based on elevation (higher elevation cells have 
lower grid cell numbers) for a subset of grid cells located in upper Solitario Canyon (subset 
was extracted from the TRANSFORM file CHN-R1.HDF). 
UTM 
northing 
grid 
coordinates 
(meters) 
UTM easting grid coordinates (meters) 
547181 547211 547241 547271 547301 547331 547361 547391 
4079703 68664 71180 71778 71779 72096 72424 71468 68665 
4079673 67144 70598 72425 72426 72728 73045 71783 68669 
4079643 66541 69291 71784 73047 73329 73644 72098 69292 
4079613 66855 69293 71477 73049 74293 74294 73050 70284 
4079583 67775 69937 71788 73333 73985 74578 73055 70876 
4079553 68996 70880 72733 73987 74580 74581 73649 71188 
4079523 69941 72107 73988 74584 75219 75220 73337 70882 
4079493 71194 73343 74894 75223 75496 75224 73062 70291 
4079463 72445 74588 75842 75843 75844 75228 73345 70617 
4079433 73657 75500 76185 76186 76187 75231 73347 70887 
4079403 74901 76190 76807 76808 76506 75233 73068 70621 
4079373 75853 76809 77106 77107 76508 75238 72743 70622 
4079343 76812 77434 77435 77436 76511 75510 73665 71493 
4079313 77732 78063 78064 77733 76816 75512 73999 71803 
4079283 78065 78701 78391 78066 77114 75863 73670 71497 
4079253 78703 79040 79041 78397 77444 76200 74003 71201 
4079223 79378 79379 79380 79043 77740 76517 74604 72130 
4079193 79689 79981 79690 79384 78075 76819 74912 72460 
4079163 79983 80299 80300 79693 78402 76822 74913 72751 
4079133 80301 80647 80302 79986 79052 76826 74916 72462 
4079103 80649 80974 80650 79988 78714 76830 74607 72466 
4079073 81303 81304 81305 80307 78715 77123 74921 72469 
4079043 81593 81884 81594 80658 78719 76834 74610 72471 
4079013 82191 82192 81893 80308 78410 76210 74335 72145 
4078983 82516 82517 81896 80662 78721 76839 74929 72767 
4078953 83177 83178 82199 80311 78413 76532 74614 72476 
4078923 83810 83501 82521 80000 77757 75534 73370 71217 
4078893 84144 83813 82522 80318 78096 75879 73694 71514 
4078863 84453 83818 82525 80322 78098 75880 73695 71517 
4078833 84455 83822 82207 80005 77456 75266 73086 70916 
4078803 84457 83828 82209 80008 77760 75537 73377 71223 
4078773 85087 84157 82529 80328 78099 75538 73381 71224 
4078743 85418 84161 82534 79713 77461 75540 73383 71524 

Table XI-3. Downstream grid cell number (second flow routing parameter) obtained from column 7 of the 
output file 30MGRD01.C16, identifying the grid cell to which flow is being routed to (grid cells 
are identified by grid cell numbers indicated in Table XI-2) for a subset of grid cells located in 
upper Solitario Canyon (subset was extracted from the TRANSFORM file CHN-R2.HDF). 
UTM 
northing 
grid 
coordinates 
(meters) 
UTM easting grid coordinates (meters) 
547181 547211 547241 547271 547301 547331 547361 547391 
4079703 71180 72425 72426 72728 73045 73045 73045 71783 
4079673 71180 72425 73047 73329 73644 73644 73644 72098 
4079643 70598 72425 73049 74293 74294 74294 74294 73050 
4079613 69937 71788 73333 74293 74578 74578 74578 73055 
4079583 70880 72733 73987 74580 74581 74581 74581 73649 
4079553 72107 73988 74584 75219 75220 75220 75220 73649 
4079523 73343 74894 75223 75496 75496 75496 75224 73649 
4079493 74588 75842 75843 75844 75844 75844 75228 73345 
4079463 75500 76185 76186 76187 76187 76187 75231 73347 
4079433 76190 76807 76808 76808 76808 76506 75233 73347 
4079403 76809 77106 77107 77107 77107 76508 75238 73347 
4079373 77434 77435 77436 77436 77436 76511 75510 73665 
4079343 78063 78064 78064 78064 77733 76816 75512 73999 
4079313 78701 78701 78701 78391 78066 77114 75863 73999 
4079283 79040 79041 79041 79041 78397 77444 76200 74003 
4079253 79379 79380 79380 79380 79043 77740 76517 74604 
4079223 79981 79981 79981 79690 79384 78075 76819 74912 
4079193 80299 80300 80300 80300 79693 78402 76822 74913 
4079163 80647 80647 80647 80302 79986 79052 76826 74916 
4079133 80974 80974 80974 80650 79988 79052 76830 74916 
4079103 81304 81305 81305 81305 80307 79052 77123 74921 
4079073 81884 81884 81884 81594 80658 78719 77123 74921 
4079043 82192 82192 82192 81893 80658 78719 77123 74921 
4079013 82517 82517 82517 81896 80662 78721 76839 74929 
4078983 83178 83178 83178 82199 80662 78721 76839 74929 
4078953 83810 83810 83501 82521 80662 78721 76839 74929 
4078923 84144 84144 83813 82522 80318 78413 76532 74614 
4078893 84453 84453 83818 82525 80322 78098 75880 73695 
4078863 84775 84455 83822 82525 80322 78098 75880 73695 
4078833 85085 84457 83828 82525 80322 78098 75880 73695 
4078803 85415 85087 84157 82529 80328 78099 75538 73381 
4078773 85750 85418 84161 82534 80328 78099 75540 73383 
4078743 86052 85423 84463 82536 80328 78104 76550 74346 

Table XI-4. Flow accumulation term (number of upstream grid cells) obtained from column 9 of the output 
file 30MGRD01.C16. This parameter is used to identify the stream channel network for a 
subset of grid cells located in upper Solitario Canyon (subset was extracted from the 
TRANSFORM file CHN-C16.HDF). 
UTM 
northing 
grid 
coordinates 
(meters) 
UTM easting grid coordinates (meters) 
547181 547211 547241 547271 547301 547331 547361 547391 
4079703 1 7 22 693 2 1382 2 0 
4079673 1 1 11 23 694 1389 1 0 
4079643 0 0 0 12 24 2087 1 1 
4079613 0 0 0 1 15 2115 2 2 
4079583 2 1 1 1 0 2135 3 3 
4079553 1 3 2 2 2 2141 57 50 
4079523 1 2 4 3 3 2203 0 1 
4079493 1 2 3 5 2212 1 0 0 
4079463 1 2 3 4 2221 1 1 0 
4079433 1 2 3 4 2229 2 11 8 
4079403 1 2 3 2239 3 12 0 0 
4079373 1 2 3 2248 13 1 0 0 
4079343 1 2 3 2267 2 1 1 2 
4079313 1 2 2275 3 2 2 36 32 
4079283 2 2281 4 3 3 37 0 0 
4079253 571 3 2291 4 38 1 1 0 
4079223 27 572 2301 39 2 2 1 2 
4079193 1 2903 40 3 3 2 3 3 
4079163 4 2 2949 4 3 4 4 41 
4079133 19 2958 5 4 56 5 43 0 
4079103 22 2985 5 57 0 44 0 0 
4079073 385 23 3050 1 0 68 65 2 
4079043 5 3461 2 72 70 0 0 60 
4079013 5 3471 73 0 0 0 0 0 
4078983 6 3552 1 46 42 38 34 30 
4078953 7 3562 47 0 1 1 1 1 
4078923 3578 48 1 0 0 0 0 0 
4078893 3636 2 1 1 0 0 0 0 
4078863 3649 2 24 20 17 14 11 8 
4078833 3 25 0 0 0 0 0 0 
4078803 26 1 0 0 0 0 0 0 
4078773 2 1 1 6 3 1 1 2 
4078743 2 2 7 0 0 2 3 2 

 Listing of source code for routine CHNNET16 V1.0: 
PROGRAM chnnet16
c-----------------------------------------------------------------------
real ssl,selev,maxsl,minsl,maxelev,minelev
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)
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 

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.
nmax = 1000
maxrow = -999
maxcol = -999
minrow = 9999
mincol = 9999
ncell = 0 
n2 = 0 
elold = 999999
nold = 0
c
c---- read output from sorting subroutine (SORTGRD1 or GRDSORT7)
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
MINELEV = 99999. 
C 
c 
n = 1 
nn = 0 

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))
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,
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.
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 

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
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 ---------------- 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
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 

elmin = elev(row2,col2)
iout(row1,col1) = locid(row2,col2)
endif
230 continue
if(iout(row1,col1).ne.0) then
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
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 ---------------------------------------------------
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------ 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)) =
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============================================
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 

ATTACHMENT XIIDEVELOPMENT OF GEOSPATIAL INPUT PARAMETERS
USING VEGCOV01 V1.0
TOTAL PAGES: 9

Development of Geospatial Input Parameters using VEGCOV01 V1.0 
1. 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
2. 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. 
3. 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 AMR. 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 attachment, 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). 
4. 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)
 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

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 
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 
attachment. 
 Description of test(s) to be performed: 
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. 
5. Test Results 
 Output from test (explain difference between input range used and possible input): 
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 attachment. 
VEGCOV01.FOR: FORTRAN source code listing for the routine VEGCOV01. A 
printout of the source code is included as part of this attachment. 
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 
6. Results from test case 
The data in the input file and output file for VEGCOV01 was extracted to shown an example 
for rock type 324 in Table XII-1. The top 12 rows illustrate the input file with rock type ID 
324 for a series of grid block locations, all of which are north of northing 4082606.93, and all 
of which indicate that the 324 was replaced with rock type 309 in the output file. The center 
series of 12 rows indicate that no change was made to rock type 324 between northings 
4082606.93 and 4079955.91. The bottom four rows indicate that rock type 324 that occurred 
in grid blocks located south of 4079955.91 are replaced with rock type 308. These results 
confirm that the routine performs as required and meets the acceptance criteria. 

Table XII-1. Comparison of extracted data from 30MGRD01.SR1, the input file to VEGCOV01 and 
30MGRD04.SR1, the output file from VEGCOV01. 
30MGRD01.SR1 Input file 30MGRD04.SR1 Output file 
UTM UTM UTM UTM
Grid Block Grid Block
Easting Northing Rock Type Easting Northing Rock Type 
ID IDID ID
(meters) (meters) (meters) (meters) 
43261 548381 4082973 324 43261 548381 4082973 
309 
16087 547271 4082973 324 16087 547271 4082973 
17672 547241 4082973 324
18807 547151 4082973 324
17415 547121 4082973 324
16755 547091 4082973 324
17414 547061 4082973 324
18534 547031 4082973 324
15438 546731 4082973 324
14420 546701 4082973 324
13723 546671 4082973 324
13053 546641 4082973 324
12309 546611 4082973 324
309 
17672 547241 4082973 309 
18807 547151 4082973 309 
17415 547121 4082973 309 
16755 547091 4082973 309 
17414 547061 4082973 309 
18534 547031 4082973 309 
15438 546731 4082973 309 
14420 546701 4082973 309 
13723 546671 4082973 309 
13053 546641 4082973 309 
12309 546611 4082973 309 
46561 548441 4082583 324
24597 547361 4082583 324
25276 547331 4082583 324
26423 547301 4082583 324
23915 547121 4082583 324
22019 547091 4082583 324
14798 546941 4082583 324
14434 546911 4082583 324
14081 546881 4082583 324
13502 546851 4082583 324
12949 546821 4082583 324
12194 546791 4082583 324
49421 548471 4082553 324
46561 548441 4082583 324 
24597 547361 4082583 324 
25276 547331 4082583 324 
26423 547301 4082583 324 
23915 547121 4082583 324 
22019 547091 4082583 324 
14798 546941 4082583 324 
14434 546911 4082583 324 
14081 546881 4082583 324 
13502 546851 4082583 324 
12949 546821 4082583 324 
12194 546791 4082583 324 
49421 548471 4082553 324 
61457 547421 4077843 324
61467 547391 4077633 324
61469 547361 4077543 324
59675 547361 4077513 324
61457 547421 4077843 308 
61467 547391 4077633 308 
61469 547361 4077543 308 
59675 547361 4077513 308 

7. Listing of source code for VEGCOV01 V1.0 
c----- simple veg cover model: cover = 30%
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)
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), 
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 

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
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

ATTACHMENT XIIIEXTRACTION OF WATERSHED MODELING DOMAINS
USING WATSHD20 V1.0
TOTAL PAGES: 28

Extraction of Watershed Modeling Domains using WATSHD20 V1.0 
1. 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
2. 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. 
3. 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 AMR. 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 
attachment, 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. The output files created by WATSHD20 are used 
directly as input to the program INFIL V2.0. 
4. 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. 

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 
attachment. 
 Description of test(s) to be performed: 
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 testplan 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 fow 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 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 (see Attachment XII). 
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) 
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 Attachment VI for description 
of source data used for 30MSITE.INP) and a sequence of applied software routines described 
in Attachments VI through XII of this AMR. 
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. 

5. 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 (Figure XIII-1) 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. 
For example, the map image shows that the area has been correctly defined by the surface 
water flow divides (the ridgetop locations) and that there is only one outflow point for the 
watershed, which is defined by the easting and northing coordinates specified in the control 
file. There is no inflow of water to the area defined by the extracted file, and with the 
exception of the one grid cell defining the watershed outflow location, there is no other 
outflow from the watershed area. This visual comparison of the test watershed area with the 
topography satisfies the test criteria and indicates that the routine has function correctly. 
The TRANSFORM map image (Figure XIII-2) 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 (Figure XIII-3) 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 (Figure XIII-4) 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 Figures 5 and 6 of the flow accumulation term indicates that 
surface water flow is being routed correctly within the watershed. All flow is convergent and 
is 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 increase 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 attachment to the AMR. The following electronic files are 
provided: 
WATSHD20.CTL: Input file consisting of the input and output file names for 
WATSHD20 V1.0. 
WATSHD20.FOR: FORTRAN source code listing for the routine WATSHD20 V1.0. 
A printout of the source code is included as part of this attachment. 
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 (see Attachment VII). A partial printout of 
the first part of this file is included as part of this attachment. 
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 (Figure XIII-1) 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 Figure XIII-2 for the software routine validation 
test and is provided as supporting information. 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 Figure XIII-3 for the software routine 
validation test and is provided as supporting information. 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 Figure XIII-4 for the 
software routine validation test and is provided as supporting 
information. 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 Figure XIII-5 for the 
software routine validation test and is provided as supporting 
information. 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 Figure XIII-6 for the 
software routine validation test and is provided as supporting 
information. 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 
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 Attachment XII 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 
546221.0 4087833.0 1 53 
546191.0 4087803.0 2 52 
546161.0 4087833.0 1 51 
546221.0 4087803.0 2 53 
546191.0 4087773.0 3 52 
546251.0 4087833.0 1 54 
546161.0 4087803.0 2 51 
549311.0 4087833.0 1 156 
546221.0 4087773.0 3 53 
546161.0 4087773.0 3 51 
546191.0 4087743.0 4 52 
546131.0 4087833.0 1 50 
549281.0 4087833.0 1 155 
549341.0 4087833.0 1 157 
546251.0 4087803.0 2 54 
546161.0 4087743.0 4 51 
546131.0 4087803.0 2 50 
546281.0 4087833.0 1 55 
549371.0 4087833.0 1 158 
1 -3 0 0 0.00000 -1.0
2 -3 0 0 0.00000 -1.0
3 0 11 0 0.00000 -1.0
4 -3 0 0 0.00000 -1.0
5 0 26 0 0.00000 -1.0
6 0 21 0 0.00000 -1.0
7 -3 0 0 0.00000 -1.0
8 0 27 0 0.00000 -1.0
9 -3 0 0 0.00000 -1.0
10 0 43 0 0.00000 -1.0
11 11 32 0 1.00000 -1.0
12 0 33 0 0.00000 -1.0
13 -3 0 0 0.00000 -1.0
14 -3 0 0 0.00000 -1.0
15 -3 0 0 0.00000 -1.0
16 0 52 0 0.00000 -1.0
17 0 41 0 0.00000 -1.0
18 0 57 0 0.00000 -1.0
19 -3 0 0 0.00000 -1.0
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 
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
 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 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 
547481.0 4076673.0 -3 
547541.0 4077363.0 -3

 Figures used as part of the routine test plan: 
Figure XIII-1. ARCVIEW map image (project file WT2-W20.APR) of the test watershed WT2.W20 
extracted from the geospatial parameter base-grid (30MGRD04.SR1). The 3,142 extracted 
watershed grid cells (including both the 2,860 active model cells and the 282 inactive 
perimeter cells) with less than 10 upstream cells are shaded purple. The stream channel 
network defined by the flow accumulation term is red for locations with 10 to 100 upstream 
cells, yellow for 100 to 1,000 cells, and blue for more than 1,000 cells. 

Figure XIII-2. TRANSFORM map image (file WT2-ELEV.HDF) of elevation obtained from column 10 of 
the test watershed (file WT2.W20). The elevation values of the 3,142 grid cells included in 
the watershed model domain are used to verify that the correct watershed area has been 
extracted by WATSHD20 V1.0. 

Figure XIII-3. TRANSFORM map image (file WT2-8.HDF) of the downstream cell number obtained from 
column 8 of the test watershed (file WT2.W20). The 282 perimeter grid cells are correctly 
identified by a downstream cell number of 3. The downstream cell number for the 2,860 
active model cells increases in the downstream direction. 

Figure XIII-4. TRANSFORM map image (file WT2-9.HDF) of the flow accumulation term obtained from 
column 9 of the test watershed (file WT2.W20). The grid cell defining the outflow location 
from the watershed has 2,859 upstream cells, and the total number of active cells in the 
watershed model domain is 2,860. Only those cells that are routed to from upstream cells 
are indicated by color in the map image. The non-colored grid cell locations correctly 
indicate the surface water flow divides. 

Figure XIII-5. TRANSFORM map image (file WT2-9B.HDF) of the flow accumulation term obtained from 
column 9 of the test watershed (file WT2.W20). All grid cells with 500 or more upstream 
cells are black. 

Figure XIII-6. TRANSFORM map image (file WT2-9C.HDF) of the flow accumulation term obtained from 
column 9 of the test watershed (file WT2.W20). All grid cells with 10 or more upstream 
cells are black. The map image indicates that surface water on sideslopes is being 
correctly routed as overland flow downslope towards channel locations. 

 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
read(7,15) chnfile 
read(7,15) outfile
read(7,15) outfil2
read(7,15) holefile
read(7,15) boundary
read(7,15) bugfile
read(7,*) xpoint,ypoint
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 

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
x(row(n),col(n)) = xx
y(row(n),col(n)) = yy
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 
col(n) = co 

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
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
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))
if(locid(r1,c1).gt.locid(r0,c0))
if(el(r1,c1).eq.-99999)
if(iout(r1,c1).eq.locid(r0,c0)) then
nw = nw + 1
irow(nw) = r1
icol(nw) = c1
iwat(r1,c1) = nw
c
goto 200
goto 200
goto 200
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---- 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
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 
c 
300 format(1x,2f11.1,f8.1,3i6) 
c 
endif 
c 
c 
200 continue 
c 
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
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)
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,
c 
endif 
1110 continue 
1100 continue 
endif 
1050 continue 
1000 continue 
1500 continue 
if(nw.gt.nw2) then 
nw1 = nw2 + 1 
goto 600 

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
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)
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
1 then 
soild = 3. 
if(slp.le.20) soild = (6-0.15*slp) 
endif 
c 
c 

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
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
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, 
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) 

ATTACHMENT XIV
POST-PROCESSING OF MODEL RESULTS USING MAPADD20 V1.0
TOTAL PAGES: 16

Post-processing of model results using MAPADD20 V1.0 
1. 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
2. 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. 
3. 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 AMR. 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 attachment, 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). 
4. 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 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 
analog 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 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 
attachment. 
 Description of test(s) to be performed: 
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 netinfiltration 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. 
5. 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. 
 
Description of how the testing shows that the results are correct for the specified 
input: 
 
List limitations or assumptions to this test case and code in general: 
If the testing results in output that conforms to the above criteria then the results are correct 
for the specified input. 

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. Limitations to 
test case (2) are based on the ability of the evaluator to discern that two maps occupy the 
same space. 
 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 attachment. 
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. Selections of these files are illustrated in Table 
XIV-1 for the verification. 
Test Case for task (3): Input files YM1-X.4E4, 4JA1-X.4E4 and 4JA1-90.4E4 and output 
file MODERN1.OUT. Net infiltration values for selected grid 
block locations from these files are illustrated in Table XIV-5 for 
the verification. 
6. Test Case for Task (1): calculation of arithmetic mean 
Extraction of input files are illustrated below in Table XIV-1 and Table XIV-2. Table XIV-3 
is an extraction of the same grid blocks for the corresponding output file from MAPADD20 
that calculates an arithmetic mean of the two input files. Table XIV-4 is a calculation of the 
arithmetic mean of values in Tables XIV-1 and XIV-2 performed as (Value1+Value2)/2. The 
values in Table XIV-3 and Table XIV-4 for corresponding grid block locations match, 
indicating that the routine MAPADD20 correctly performs the specified function. 

Table XIV-1. Extraction of input file SC2-MU1.504 
UTM UTM snow-snow-snowsublimevaporun-
net-
easting northing precip rain fall cover melt ation trans infil del-soil infil runoff 
(meters) (meters) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) 
545621 4075233 390.64838 390.31409 0.33429 0.91931 0.31581 0.01848 392.27072 0 -1.64082 0 0 
545621 4075203 390.52993 390.19574 0.33419 0.91685 0.31467 0.01952 392.24604 0 -1.73563 0 0 
545591 4075233 390.41155 390.26021 0.15134 0.38352 0.14303 0.00831 392.0268 0 -1.62357 0 0 
545591 4075203 390.29324 390.14195 0.15129 0.3828 0.14261 0.00868 391.98121 0 -1.69664 0 0 
545621 4075173 390.17502 390.02377 0.15125 0.38223 0.14229 0.00896 391.91474 0 -1.74868 0 0 
545561 4075203 390.05687 389.90567 0.1512 0.3828 0.14266 0.00854 391.72013 0 -1.6718 0 0 
545591 4075173 390.05687 389.90567 0.1512 0.38237 0.1424 0.0088 391.76968 0 -1.72161 0 0 
545561 4075173 389.93879 389.78764 0.15115 0.3825 0.14251 0.00864 391.62292 0 -1.69276 0 0 
545621 4075143 389.93879 389.78764 0.15115 0.38197 0.14218 0.00897 391.68411 0 -1.75429 0 0 
545531 4075173 389.8208 389.66969 0.15111 0.38226 0.14239 0.00872 391.5222 0 -1.71012 0 0 
545561 4075143 389.8208 389.66969 0.15111 0.38186 0.14214 0.00896 391.56645 0 -1.75461 0 0 
545591 4075143 389.8208 389.66969 0.15111 0.38185 0.14214 0.00897 384.62755 0 0.55348 0 4.6308 
545501 4075173 389.70288 389.55181 0.15106 0.3821 0.14232 0.00874 391.4104 0 -1.71626 0 0 
545531 4075143 389.70288 389.55181 0.15106 0.38181 0.14214 0.00892 391.44264 0 -1.74869 0 0 
545501 4075143 389.46726 389.31629 0.15097 0.38176 0.14217 0.0088 391.18893 0 -1.73047 0 0 
545591 4075113 389.46726 389.31629 0.15097 0.38172 0.14214 0.00883 391.19263 0 -1.7342 0 0 
545471 4075173 389.34957 389.19864 0.15093 0.38186 0.14226 0.00867 391.04835 0 -1.70745 0 0 
545501 4075113 389.34957 389.19864 0.15093 0.38173 0.14218 0.00875 391.06159 0 -1.72077 0 0 
545531 4075113 389.34957 389.19864 0.15093 0.38158 0.14208 0.00884 391.07804 0 -1.73731 0 0 
545561 4075113 389.34957 389.19864 0.15093 0.38157 0.14208 0.00884 384.5676 0.7188 0.57015 0 4.9218 
545471 4075143 389.23195 389.08107 0.15088 0.38179 0.14224 0.00864 390.92549 0 -1.70218 0 0 
545561 4075083 389.23195 389.08107 0.15088 0.38172 0.1422 0.00868 390.9323 0 -1.70903 0 0 
545471 4075113 389.11441 388.96358 0.15083 0.38165 0.14218 0.00865 390.81158 0 -1.70582 0 0 
545501 4075083 389.11441 388.96358 0.15083 0.38159 0.14215 0.00869 383.91684 0 0.59475 0 4.5941 
545531 4075083 389.11441 388.96358 0.15083 0.38155 0.14212 0.00871 398.52077 8.17741 -1.23766 0 0 
Table XIV2. 
Extraction of input file SC2-MU2.504UTM UTM snow-snow-snow-Sublim-Evaporun-
net-
easting northing precip rain fall cover melt ation trans infil del-soil infil runoff 
(meters) (meters) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) 
545621 4075233 394.33749 386.76666 7.57083 21.29757 7.2249 0.34593 392.16129 0 -1.64526 0 3.47552 
545621 4075203 394.21793 386.6494 7.56853 21.2211 7.20413 0.36441 392.14155 0 -1.73799 0 3.44997 
545591 4075233 394.09847 388.10767 5.9908 15.10834 5.68791 0.30289 391.95811 0 -1.63227 0 3.46974 
545591 4075203 393.97896 387.98997 5.98899 15.06655 5.67397 0.31502 392.84929 0.96379 -1.67158 0 3.45002 
545621 4075173 393.85967 387.8725 5.98717 15.03006 5.66302 0.32416 391.85825 0 -1.75537 0 3.43264 
545561 4075203 393.74034 387.75498 5.98536 15.03408 5.67505 0.31031 392.59228 0.96067 -1.64765 0 3.44606 
545591 4075173 393.74034 387.75498 5.98536 15.01869 5.66631 0.31905 392.63596 0.95307 -1.69674 0 3.43515 
545561 4075173 393.62118 387.63763 5.98355 15.00758 5.66975 0.3138 392.49194 0.95274 -1.66866 0 3.43684 
545621 4075143 393.62118 387.63763 5.98355 14.9884 5.65887 0.32468 391.63636 0 -1.7618 0 3.42194 
545531 4075173 393.50211 387.52038 5.98174 14.98262 5.66532 0.31642 392.39373 0.95036 -1.6861 0 3.42843 
545561 4075143 393.50211 387.52038 5.98174 14.9684 5.65726 0.32448 391.52263 0 -1.76234 0 3.41735 
545591 4075143 393.50211 387.52038 5.98174 14.96808 5.65708 0.32466 370.07629 0.13904 -0.73597 0 23.9761 
545501 4075173 393.383 387.40307 5.97993 14.96111 5.66286 0.31707 391.3702 0 -1.72564 0 3.42137 
545531 4075143 393.383 387.40307 5.97993 14.9505 5.65684 0.32309 392.31421 0.94631 -1.72366 0 3.41568 
545501 4075143 393.14523 387.16891 5.97631 14.91675 5.65716 0.31915 392.06503 0.94254 -1.70684 0 3.41042 
545591 4075113 393.14523 387.16891 5.97631 14.91516 5.65627 0.32005 392.06398 0.93692 -1.71102 0 3.40913 
545471 4075173 393.02637 387.05186 5.97451 14.90407 5.65973 0.31478 391.01993 0 -1.71812 0 3.40978 
545501 4075113 393.02637 387.05186 5.97451 14.89954 5.65717 0.31734 391.03369 0 -1.73127 0 3.40661 

UTM UTM snow-snow-snow-Sublim-Evapo-run-net-
easting northing precip rain fall cover melt ation trans infil del-soil infil runoff 
(meters) (meters) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) 
545531 4075113 393.02637 387.05186 5.97451 14.89406 5.65406 0.32045 391.05083 0 -1.74753 0 3.40262 
545561 4075113 393.02637 387.05186 5.97451 14.89393 5.65399 0.32052 370.29435 1.34731 -0.72987 0 24.4886 
545471 4075143 392.90765 386.93495 5.9727 14.88554 5.65896 0.31375 391.80519 0.93871 -1.67989 0 3.40731 
545561 4075083 392.90765 386.93495 5.9727 14.88304 5.65754 0.31516 391.80516 0.93097 -1.68709 0 3.40539 
545471 4075113 392.78906 386.81816 5.9709 14.86451 5.65676 0.31414 391.69097 0.93409 -1.68386 0 3.4019 
545501 4075083 392.78906 386.81816 5.9709 14.8623 5.65552 0.31538 369.33118 0 -0.7198 0 23.8623 
545531 4075083 392.78906 386.81816 5.9709 14.86084 5.65469 0.31621 409.5185 20.2297 -1.11013 0 4.29423 
Table XIV-3. Extraction of output file, OUTPUT.TXT 
Table XIV-4. Extraction of calculated arithmetic means for comparison with values from Table XIV-3. 
UTM UTM snow-snow-snow-Sublim-Evapo-run-net-
easting northing precip rain fall cover melt ation trans infil del-soil infil runoff 
(meters) (meters) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) 
545621 4075233 392.49294 388.54038 3.95256 11.10844 3.770355 0.182205 392.21601 0 -1.64304 0 1.73776 
545621 4075203 392.37393 388.42257 3.95136 11.06897 3.7594 0.191965 392.1938 0 -1.73681 0 1.72498 
545591 4075233 392.25501 389.18394 3.07107 7.74593 2.91547 0.1556 391.99246 0 -1.62792 0 1.73487 
545591 4075203 392.1361 389.06596 3.07014 7.724675 2.90829 0.16185 392.41525 0.48189 -1.68411 0 1.72501 
545621 4075173 392.01735 388.94814 3.06921 7.706145 2.902655 0.16656 391.8865 0 -1.75202 0 1.71632 
545561 4075203 391.89861 388.83033 3.06828 7.70844 2.908855 0.159425 392.15621 0.48033 -1.65972 0 1.72303 
545591 4075173 391.89861 388.83033 3.06828 7.70053 2.904355 0.163925 392.20282 0.47653 -1.70917 0 1.71757 
UTM 
easting 
(meters) 
UTM 
northing 
(meters) 
precip 
(mm/yr) 
rain 
(mm/yr) 
snowfall 
(mm/yr) 
snow-
cover 
(mm/yr) 
snowmelt 
(mm/yr) 
Sublimation 
(mm/yr) 
Evapotrans 
(mm/yr) 
runinfil 
(mm/yr) 
del-soil 
(mm/yr) (
netinfil 
mm/yr)
runoff 
(mm/yr) 
545621 4075233 392.49293 388.54038 3.95256 11.10844 3.77035 0.18221 392.216 0 -1.64304 0 1.73776 
545621 4075203 392.37393 388.42257 3.95136 11.06898 3.7594 0.19196 392.1938 0 -1.73681 0 1.72498 
545591 4075233 392.25501 389.18394 3.07107 7.74593 2.91547 0.1556 391.99245 0 -1.62792 0 1.73487 
545591 4075203 392.1361 389.06596 3.07014 7.72467 2.90829 0.16185 392.41525 0.4819 -1.68411 0 1.72501 
545621 4075173 392.01734 388.94813 3.06921 7.70615 2.90266 0.16656 391.88649 0 -1.75203 0 1.71632 
545561 4075203 391.8986 388.83033 3.06828 7.70844 2.90885 0.15942 392.1562 0.48034 -1.65972 0 1.72303 
545591 4075173 391.8986 388.83033 3.06828 7.70053 2.90436 0.16392 392.20282 0.47653 -1.70918 0 1.71758 
545561 4075173 391.77999 388.71263 3.06735 7.69504 2.90613 0.16122 392.05743 0.47637 -1.68071 0 1.71842 
545621 4075143 391.77999 388.71263 3.06735 7.68519 2.90053 0.16683 391.66024 0 -1.75805 0 1.71097 
545531 4075173 391.66146 388.59503 3.06643 7.68244 2.90386 0.16257 391.95797 0.47518 -1.69811 0 1.71422 
545561 4075143 391.66146 388.59503 3.06643 7.67513 2.8997 0.16672 391.54454 0 -1.75848 0 1.70867 
545591 4075143 391.66146 388.59503 3.06643 7.67497 2.89961 0.16681 377.35192 0.06952 -0.09125 0 14.3034 
545501 4075173 391.54294 388.47744 3.0655 7.6716 2.90259 0.16291 391.3903 0 -1.72095 0 1.71069 
545531 4075143 391.54294 388.47744 3.0655 7.66615 2.89949 0.166 391.87842 0.47315 -1.73618 0 1.70784 
545501 4075143 391.30624 388.2426 3.06364 7.64926 2.89967 0.16397 391.62698 0.47127 -1.71866 0 1.70521 
545591 4075113 391.30624 388.2426 3.06364 7.64844 2.89921 0.16444 391.62831 0.46846 -1.72261 0 1.70457 
545471 4075173 391.18797 388.12525 3.06272 7.64297 2.90099 0.16173 391.03414 0 -1.71279 0 1.70489 
545501 4075113 391.18797 388.12525 3.06272 7.64063 2.89967 0.16304 391.04764 0 -1.72602 0 1.70331 
545531 4075113 391.18797 388.12525 3.06272 7.63782 2.89807 0.16465 391.06444 0 -1.74242 0 1.70131 
545561 4075113 391.18797 388.12525 3.06272 7.63775 2.89804 0.16468 377.43097 1.03306 -0.07986 0 14.7052 
545471 4075143 391.0698 388.00801 3.06179 7.63367 2.9006 0.16119 391.36534 0.46936 -1.69104 0 1.70365 
545561 4075083 391.0698 388.00801 3.06179 7.63238 2.89987 0.16192 391.36873 0.46548 -1.69806 0 1.7027 
545471 4075113 390.95173 387.89087 3.06087 7.62308 2.89947 0.16139 391.25127 0.46704 -1.69484 0 1.70095 
545501 4075083 390.95173 387.89087 3.06087 7.62194 2.89884 0.16203 376.62401 0 -0.06253 0 14.2282 
545531 4075083 390.95173 387.89087 3.06087 7.6212 2.89841 0.16246 404.01963 14.2035 -1.17389 0 2.14711 

7. Test Case for Task (2) 
Figure XIV-1 illustrates the boundaries for the 10 watersheds used as input to MAPADD20. 
Figure XIV-2 illustrates the final boundary of the composite model domain as produced by 
MAPADD20, indicating a successful verification of routine function for this task. 
UTM UTM snow-snow-snow-Sublim-Evaporun-
net-
easting northing precip rain fall cover melt ation trans infil del-soil infil runoff 
(meters) (meters) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) 
545561 4075173 391.77999 388.71264 3.06735 7.69504 2.90613 0.16122 392.05743 0.47637 -1.68071 0 1.71842 
545621 4075143 391.77999 388.71264 3.06735 7.685185 2.900525 0.166825 391.66024 0 -1.75804 0 1.71097 
545531 4075173 391.66146 388.59504 3.066425 7.68244 2.903855 0.16257 391.95797 0.47518 -1.69811 0 1.71421 
545561 4075143 391.66146 388.59504 3.066425 7.67513 2.8997 0.16672 391.54454 0 -1.75847 0 1.70867 
545591 4075143 391.66146 388.59504 3.066425 7.674965 2.89961 0.166815 377.35192 0.06952 -0.09124 0 14.3034 
545501 4075173 391.54294 388.47744 3.065495 7.671605 2.90259 0.162905 391.3903 0 -1.72095 0 1.71068 
545531 4075143 391.54294 388.47744 3.065495 7.666155 2.89949 0.166005 391.87843 0.47315 -1.73617 0 1.70784 
545501 4075143 391.30625 388.2426 3.06364 7.649255 2.899665 0.163975 391.62698 0.47127 -1.71865 0 1.70521 
545591 4075113 391.30625 388.2426 3.06364 7.64844 2.899205 0.16444 391.62831 0.46846 -1.72261 0 1.70456 
545471 4075173 391.18797 388.12525 3.06272 7.642965 2.900995 0.161725 391.03414 0 -1.71278 0 1.70489 
545501 4075113 391.18797 388.12525 3.06272 7.640635 2.899675 0.163045 391.04764 0 -1.72602 0 1.70330 
545531 4075113 391.18797 388.12525 3.06272 7.63782 2.89807 0.164645 391.06444 0 -1.74242 0 1.70131 
545561 4075113 391.18797 388.12525 3.06272 7.63775 2.898035 0.16468 377.43098 1.03305 -0.07986 0 14.7052 
545471 4075143 391.0698 388.00801 3.06179 7.633665 2.9006 0.161195 391.36534 0.46935 -1.69103 0 1.70365 
545561 4075083 391.0698 388.00801 3.06179 7.63238 2.89987 0.16192 391.36873 0.46548 -1.69806 0 1.70269 
545471 4075113 390.95174 387.89087 3.060865 7.62308 2.89947 0.161395 391.25128 0.46704 -1.69484 0 1.70095 
545501 4075083 390.95174 387.89087 3.060865 7.621945 2.898835 0.162035 376.62401 0 -0.06252 0 14.2282 
545531 4075083 390.95174 387.89087 3.060865 7.621195 2.898405 0.16246 404.01964 14.2035 -1.17389 0 2.14711 

Watershed 
modeling 
domains 
Yucca Wash 
Drill Hole Wash 
Dune Wash 
Solitario 
Canyon #1 
Plug Hill 
Jet Ridge #1 
Jet Ridge #2 
Jet Ridge #3 
Solitario 
Canyon #2 
546,000 548,000 550,000 552,000 
554,000 Solitario 
UTM Easting (meters) Canyon #4 
elevation contour interval = 50 meters 
Figure XIV-1. Location of 10 individual watershed model domains used as input to MAPADD20. 
i4,072,000 4,074,000 4,076,000 4,078,000 4,080,000 4,082,000 4,084,000 4,086,000 
UTM Northng (meters) 

Figure XIV-2. Composite model domain obtained as output from the addition of all 10 watersheds in 
MAPADD20 and used for, in this example, representation of precipitation rate for the site. 
/
Average 
precipitation 
rate 
(mmyear) 
140 -160 
160 -180 
180 -200 
200 -220 
220 -240 
240 -260 
> 260 

8. 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 for the same grid block locations. The values match exactly, indicating a 
successful routine function for this task. 
Table XIV-5. Input files for MAPADD20 and output files and calculated minimum net infiltration for a 
selection of grid blocks. 
9. 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),
Input file Input file Input file Output file 
4ja1-90.4e4 4ja1-x.4e4 ym1-x.4e4 Modern1.out 
UTM UTM UTM UTM UTM UTM UTM UTM 
easting northing easting northing easting northing Minimum easting northing 
(meters) (meters) net-infil (meters) (meters) net-infil (meters) (meters) net-infil net- Infil (meters) (meters) net-infil 
546521 4083693 0.32 546521 4083693 4.07978 546521 4083693 6.18809 0.32 546521 4083693 0.32 
546491 4083693 0.02 546491 4083693 3.24408 546491 4083693 5.51655 0.02 546491 4083693 0.02 
546461 4083693 0 546461 4083693 3.10509 546461 4083693 5.48266 0 546461 4083693 0 
546551 4083663 0 546551 4083663 3.04639 546551 4083663 5.44498 0 546551 4083663 0 
546521 4083663 0.07 546521 4083663 3.37394 546521 4083663 5.41782 0.07 546521 4083663 0.07 
546581 4083663 0 546581 4083663 2.88503 546581 4083663 5.38286 0 546581 4083663 0 
546491 4083663 0.27 546491 4083663 3.79583 546491 4083663 5.93402 0.27 546491 4083663 0.27 
546461 4083663 0.31 546461 4083663 3.89956 546461 4083663 6.16089 0.31 546461 4083663 0.31 
546641 4083633 0 546641 4083633 3.07656 546641 4083633 5.43437 0 546641 4083633 0 
546551 4083633 0.9 546551 4083633 4.1375 546551 4083633 6.51973 0.9 546551 4083633 0.9 
546581 4083633 0.49 546581 4083633 4.0147 546581 4083633 6.50978 0.49 546581 4083633 0.49 
546611 4083633 0.31 546611 4083633 3.84763 546611 4083633 6.11523 0.31 546611 4083633 0.31 
546431 4083663 0.22 546431 4083663 3.68611 546431 4083663 5.76996 0.22 546431 4083663 0.22 
546521 4083633 1.74 546521 4083633 4.54947 546521 4083633 6.68346 1.74 546521 4083633 1.74 
546671 4083603 0.48 546671 4083603 3.95898 546671 4083603 6.47334 0.48 546671 4083603 0.48 
546491 4083633 2.39 546491 4083633 4.86752 546491 4083633 6.84224 2.39 546491 4083633 2.39 
546641 4083603 2.37 546641 4083603 4.85292 546641 4083603 6.83729 2.37 546641 4083603 2.37 
546401 4083633 0.64 546401 4083633 8.49658 546401 4083633 16.19353 0.64 546401 4083633 0.64 
546431 4083633 0.06 546431 4083633 0.33627 546431 4083633 0.60473 0.06 546431 4083633 0.06 
546461 4083633 2.31 546461 4083633 4.79992 546461 4083633 6.77004 2.31 546461 4083633 2.31 
546701 4083573 0.85 546701 4083573 3.95518 546701 4083573 6.31528 0.85 546701 4083573 0.85 
546611 4083603 4.87 546611 4083603 5.71362 546611 4083603 6.78471 4.87 546611 4083603 4.87 
546581 4083603 6.3 546581 4083603 6.1654 546581 4083603 6.78572 6.1654 546581 4083603 6.1654 

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
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 
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
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',
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) 
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 

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.
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)
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

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/, 
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,
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 
c 
1/1x,'Parameter 
2'Maximum ',5x,'Minimum',/ 
','Average ',5x,
c 
1/1x,'Precipitation (mm/yr): 
2/1x,'Rain (mm/yr): 
3/1x,'Snow-fall (mm/yr): 
4/1x,'Snow cover (mm/yr): 
5/1x,'Snow-melt (mm/yr): 
6/1x,'Sublimation (mm/yr): 
',f14.6,3x,f14.6,3x,f14.6, 
',f14.6,3x,f14.6,3x,f14.6, 
',f14.6,3x,f14.6,3x,f14.6, 
',f14.6,3x,f14.6,3x,f14.6,
',f14.6,3x,f14.6,3x,f14.6,
',f14.6,3x,f14.6,3x,f14.6, 
1/1x,'Net infiltration (mm/yr): 
2/1x,'Run-off (mm/yr): 
3/1x,'Run-on (mm/yr): 
4/1x,'Mass balance error (mm/yr): 
5/1x,'Max daily error (mm/dy): 
6/1x,'Mass balance 2 (mm/yr): 
',f14.6,3x,f14.6,3x,f14.6,
',f14.6,3x,f14.6,3x,f14.6, 
',f14.6,3x,f14.6,3x,f14.6, 
',g14.6,3x,g14.6,3x,g14.6, 
',g14.6,3x,g14.6,3x,g14.6, 
',g14.6,3x,g14.6,3x,g14.6) 
c 
c 
close(12) 
close(13) 
close(14) 
close(15) 
stop 
end 

ATTACHMENT XVPOST-PROCESSING OF MODEL RESULTS USING MAPSUM01 V1.0
TOTAL PAGES
: 14

Post-processing of model results using MAPSUM01 V1.0 
1. 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
2. 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. 
3. 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 AMR. The documentation provided in this attachment 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 post-processing routine MAPADD20 V1.0 (which is a postprocessing 
routine for results obtained using INFIL V2.0). 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 AMR 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 (see Attachments VII 
through XIV). 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 (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, runon, net 
infiltration). The grid cell coordinates and the water balance terms are obtained from the 
input file created by the post-processing 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 AMR, summary statistics were calculated for 
two different sub-areas defined by boundary line files imported into SURFER V6.04: the 
Site-Scale Unsaturated Zone Flow and Transport model area and the potential 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 meters 
in all applications of MAPSUM01 used in this AMR) 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 AMR. 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 
attachment. 
 Description of test(s) to be performed: 
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 
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. 
4. 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 attachment 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 are 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 
(Table XV-1). 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 were checked against the output values in GM-REP8.SUM 
and were found to be within the acceptance criteria defined as + or  0.01 (Table XV-2). 
 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. 

 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 attachment to the AMR. The following electronic files are 
provided: 
REPOS8.BLN  boundary line file for the potential 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 REPOS8DAT. 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 
5. 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)

 Example listing of input file GLACIALM.DAT developed as output from 
MAPADD20 V1.0 (see Attachment XIV). 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 
snow-melt sublimation 
runoff run-on 
547511.0 4077123.0 
56.88268 8.13961 
1.23486 0.000000 
547511.0 4077093.0 
56.99238 7.83101 
1.26772 0.000000 
547541.0 4077243.0 
57.14216 7.63807 
1.10377 0.000000 
547511.0 4077063.0 
56.92711 7.85386 
0.76734 0.000000 
547541.0 4077303.0 
57.46022 7.29764 
1.52826 0.000000 
547541.0 4077273.0 
57.35112 7.40711 
1.31875 0.000000 
547541.0 4077213.0 
56.95580 7.80378 
0.92580 0.000000 
547541.0 4077183.0 
57.01330 7.72482 
0.76992 0.000000 
547511.0 4077033.0 
56.91241 7.82605 
0.76055 0.000000 
547541.0 4077153.0 
57.05420 7.66249 
0.76977 0.000000 
precip rain snow-fall snow-cover
evapotrans run-infil del-soil net-infil
mass-balance max-balance mass-balance #2
333.84400 268.69023 65.15376 1552.67875
277.04121 0.00000 1.32346 45.97340
0.1782278E-12 0.1032971E-13 0.1835568E-13
333.73145 268.77621 64.95524 1550.48055
275.78499 0.00000 1.35319 47.36268
0.2152353E-12 -0.9714450E-14 -0.1125026E-13
333.50649 268.59503 64.91146 1545.16400
276.53962 0.00000 1.35540 46.73842
0.3102703E-12 0.3141931E-13 0.2048731E-12
333.50649 268.59503 64.91146 1539.99094
280.47958 0.00000 1.29955 42.97566
0.2466175E-12 -0.2647420E-13 0.2048731E-12
333.39417 268.50457 64.88959 1548.25314
271.82076 0.00000 1.45925 51.15653
0.9473890E-14 -0.2486900E-13 -0.3552714E-14
333.39417 268.50457 64.88959 1545.67277
273.88094 0.00000 1.39549 49.26052
0.2486900E-13 -0.2645107E-13 -0.3552714E-14
333.39417 268.50457 64.88959 1536.20367
278.87171 0.00000 1.31351 44.34935
0.8348877E-13 0.4296563E-13 -0.3552714E-14
333.28195 268.41420 64.86775 1533.10773
280.05637 0.00000 1.30797 43.29325
0.3141191E-12 0.2593296E-13 0.2398082E-12
333.28195 268.41420 64.86775 1530.70202
280.44832 0.00000 1.29740 42.82034
0.3028688E-12 0.8345175E-14 0.2398082E-12
333.16967 268.32377 64.84590 1529.67595
279.78108 0.00000 1.31261 43.51451
-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: 
total number of model cells in area: 
average elevation of model cells: 
repos8.dat
5231
1403.507
1503.000
1294.000
maximum model elevation: 
minimum model elevation: 
extracted from file: 
Total number of cells: 
Parameter 
Precipitation (mm/yr): 
Rain (mm/yr): 
Snow-fall (mm/yr): 
Snow cover (mm/yr): 
glacialm.dat5231Average Maximum Minimum323.06747 333.84400 311.82975272.79706 276.16370 266.9753450.27041 65.15376 37.75747948.27595 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 
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 

Table XV-1. Comparison of selected summary statistics calculated in EXCEL using the file GM-
REP8.MAP and summary statistics calculated by MAPSUM01. 
Parameter 
(mm/year) EXCEL worksheet calculation GN-REP8.SUM output file 
Precipitation 323.06747 333.84400 311.82975 323.06747 333.84400 311.82975 
Rain 272.79706 276.16370 266.97534 272.79706 276.16370 266.97534 
Snow Fall 50.27041 65.15376 37.75747 50.27041 65.15376 37.75747 
Snow Melt 44.61409 58.02922 32.53234 44.61409 58.02922 32.53234 
Sublimation 5.60752 8.78785 2.21182 5.60752 8.78785 2.21182 
Evapo-
Transpiration. 
287.82413 477.84380 219.28758 287.82413 477.84380 219.28758 
Run-on 
Infiltration 
11.95439 676.58013 0.00000 11.95439 676.58013 0.00000 
Stored 
Water Change 
1.82030 16.35798 -0.56969 1.82030 16.35798 -0.56969 
Net 
Infiltration 
19.78021 590.96199 0.00000 19.78021 590.96199 0.00000 
Run-off 19.94089 92.67664 0.00000 19.94089 92.67664 0.00000 
Run-on 202.82021 11553.51000 0.00000 202.82021 11553.51000 0.00000 

Table XV-2 Summary statistics for net infiltration 
Summary Statistics for net infiltration calculated by EXCEL and located in MAPSUM01.xls 
AVERAGE 19.78 
MAX 590.96 
MIN 0.00 
Summary Statistics for net infiltration calculated by MAPSUM01 and located in output file (GM-REP8.SUM) 
AVERAGE 19.78 
MAX 590.96 
MIN 0.00 
6. 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',
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: 
1 /,'total number of model cells in area: 
2 /,'average elevation of model cells: 
3 /,'maximum model elevation: 
4 /,'minimum model elevation: 
',a20, 
',i12,
',f12.3, 
',f12.3, 
',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.
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
c

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)
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)
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, 
2'Maximum ',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)
close(20)
close(21)
stop
end