## BART M ODELING 

## P ROTOCOL  

## R EFINED 

## A NALYSIS 

## A MERICAN 

## E LECTRIC 

## P OWER



### C OMANCHE 

### P OWER 

### S TATION 

### N ORTHEASTERN 

### P OWER 

### S TATION 

### S OUTHWESTERN 

### P OWER 

### S TATION

Prepared by: Eugene Chen, PE  Senior Consultant Jeremy Townley  Consultant

T RINITY C ONSULTANTS 120 East Sheridan Suite 205 Oklahoma City, OK 73104 (405) 228-3292

August, 2008

Project 083701.0057American Electric Power i Trinity Consultants BART Modeling Protocol 083701.0057 

## T ABLE OF 

## C ONTENTS



### 1. I NTRODUCTION 

### .................................................................................................... 1-1 1.1 B EST 

### A VAILABLE 

### R ETROFIT 

### T ECHNOLOGY 

### R ULE 

### B ACKGROUND 

### ......................... 1-1 1.2 M ODELING 

### P ROTOCOL 

### B ACKGROUND 

### .................................................................. 1-1 1.3 O BJECTIVE 

### ............................................................................................................ 1-2 1.4 L OCATION OF 

### S OURCES AND 

### R ELEVANT 

### C LASS 

### I A REAS 

### ...................................... 1-2

2. CALPUFF M ODEL 

### S YSTEM 

### ............................................................................... 2-1 2.1 M ODEL 

### V ERSIONS 

### ................................................................................................. 2-1 2.2 M ODELING 

### D OMAIN 

### ............................................................................................. 2-1

3. CALMET............................................................................................................ 3-1 3.1 G EOPHYSICAL 

### D ATA 

### ............................................................................................. 3-1 3.1.1 T ERRAIN D ATA .................................................................................................3-1 3.1.2 L AND U SE D ATA ...............................................................................................3-2 3.1.3 C OMPILING T ERRAIN AND LAND U SE D ATA .....................................................3-3 

### 3.2 M ETEOROLOGICAL 

### D ATA 

### ..................................................................................... 3-3 3.2.1 M ESOSCALE M ODEL M ETEOROLOGICAL D ATA ...............................................3-3 3.2.2 S URFACE M ETEOROLOGICAL D ATA .................................................................3-4 3.2.3 U PPER A IR M ETEOROLOGICAL D ATA ...............................................................3-5 3.2.4 P RECIPITATION M ETEOROLOGICAL D ATA ........................................................3-6 3.2.5 B UOY M ETEOROLOGICAL D ATA ......................................................................3-7 

### 3.3 CALMET C ONTROL 

### P ARAMETERS 

### ....................................................................... 3-8 3.3.1 V ERTICAL M ETEOROLOGICAL P ROFILE ............................................................3-8 3.3.2 I NFLUENCES OF O BSERVATIONS .......................................................................3-9


### 4. CALPUFF........................................................................................................... 4-1 4.1 E MISSIONS 

### S OURCE 

### D ATA 

### .................................................................................... 4-1 4.2 R ECEPTOR 

### L OCATIONS 

### .......................................................................................... 4-1 4.3 B ACKGROUND 

### O ZONE AND 

### A MMONIA 

### .................................................................. 4-1 4.4 CALPUFF M ODEL 

### C ONTROL 

### P ARAMETERS 

### ......................................................... 4-1

5. P OST 

### P ROCESSING 

### ............................................................................................... 5-1 5.1 POSTUTIL P ROCESSING 

### M ETHOD 

### ....................................................................... 5-1American Electric Power ii Trinity Consultants BART Modeling Protocol 083701.0057 

### 5.2 CALPOST

– L IGHT 

### E XTINCTION 

### A LGORITHM 

### ..................................................... 5-1 5.3 CALPOST P ROCESSING METHOD 

### ......................................................................... 5-3 5.4 N ATURAL 

### B ACKGROUND 

### ...................................................................................... 5-3 5.5 E VALUATING 

### V ISIBILITY 

### R ESULTS 

### ....................................................................... 5-4 5.6 S UMMARY OF 

### CALPOST C ONTROL 

### P ARAMETERS 

### ............................................... 5-4

A PPENDIX 

### A- M ETEOROLOGICAL 

### S TATIONSAmerican Electric Power iii Trinity Consultants BART Modeling Protocol 083701.0057 

## L IST OF 

## T ABLES

T ABLE 1-1. BART-E LIGIBLE S OURCES ...............................................................................................1-2

T ABLE 1-2. D ISTANCE F ROM S TATION TO S URROUNDING C LASS I A REAS .......................................1-3

T ABLE 2-1. CALPUFF M ODELING S YSTEM V ERSIONS .....................................................................2-1

T ABLE 3-1. V ERTICAL L AYERS OF THE CALMET M ETEOROLOGICAL D OMAIN ................................3-9

T ABLE 5-1. M ONTHLY H UMIDITY F ACTORS .......................................................................................5-3

T ABLE 5-2. D EFAULT A VERAGE A NNUAL N ATURAL B ACKGROUND L EVELS ...................................5-4

T ABLE A-1. L IST OF S URFACE METEOROLOGICAL S TATIONS

T ABLE A-2. L IST OF U PPER A IR METEOROLOGICAL S TATIONS

T ABLE A-3. L IST OF P RECIPITATION METEOROLOGICAL S TATIONS

T ABLE A-4. L IST OF O VER W ATER METEOROLOGICAL S TATIONSAmerican Electric Power iv Trinity Consultants BART Modeling Protocol 083701.0057 

## L IST OF 

## F IGURES

F IGURE 1-1. P LOT OF S OURCES AND N EAREST C LASS I A REAS .........................................................1-3

F IGURE 2-1. R EFINED M ETEOROLOGICAL M ODELING D OMAIN .........................................................2-2

F IGURE 3-1. P LOT OF L AND E LEVATION U SING USGS T ERRAIN D ATA ............................................3-2

F IGURE 3-2. P LOT OF L AND U SE U SING USGS LULC D ATA .............................................................3-3

F IGURE 3-3. P LOT OF S URFACE S TATION L OCATIONS ........................................................................3-5

F IGURE 3-4. P LOT OF U PPER A IR S TATIONS L OCATIONS ...................................................................3-6

F IGURE 3-5. P LOT OF P RECIPITATION METEOROLOGICAL S TATIONS .................................................3-7

F IGURE 3-6. P LOT OF B UOY M ETEOROLOGICAL S TATIONS ................................................................3-8American Electric Power 1-1 Trinity Consultants BART Modeling Protocol 083701.0057 

## 1. I NTRODUCTION

American Electric Power/Public Service Comp any of Oklahoma (AEP) owns and operates three electric generating stations near Lawton, Oklahom a (Comanche Power Station), Oologah, Oklahoma (Northeastern Power Station), and Washita, Oklahoma (Southwestern Power Station). These generating stations are considered eligible to be regulated under the U.S. Environmental Protection Agency’s (EPA) Best Available Retrofit Technology (BART) provisions of the Regional Haze Rule. This protocol describes the proposed methodol ogy for the Refined CALPUFF BART modeling analysis for the Comanche, Northeastern, and Southwestern Power Stations.



## 1.1 B EST 

## A VAILABLE 

## R ETROFIT 

## T ECHNOLOGY 

## R ULE 

## B ACKGROUND On July 1, 1999, the U.S. Environmental EPA pub lished the final Regional Haze Rule (RHR). The objective of the RHR is to improve visibility in 156 specific areas across with United States, known as Class I areas. The Clean Air Act defines Class I areas as certain national parks (over 6000 acres), wilderness areas (over 5000 acres), national memorial parks (over 5000 acres), and international parks that were in existence on August 7, 1977.
On July 6, 2005, the EPA published amendments to its 1999 RHR, often called the BART rule, which included guidance for making source-specific B est Available Retrofit Technology (BART) determinations. The BART rule defines BART-e ligible sources as sources that meet the following criteria:
(1) Have potential emissions of at least 250 tons per year of a visibility-impairing pollutant, (2) Began operation between August 7, 1962 and August 7, 1977, and (3) Are listed as one of the 26 listed source categories in the guidance.
A BART-eligible source is not automatically subject to BART. Rather, BART-eligible sources are subject-to-BART if the sources are “reasonably an ticipated to cause or contribute to visibility impairment in any federal mandatory Class I area.” EPA has determined that sources are reasonably anticipated to cause or contribute to visibility impa irment if the visibility impacts from a source are greater than 0.5 deciviews (dv) when compared against a natural background.
Air quality modeling is the tool that is used to dete rmine a source’s visibility impacts. States have the authority to exempt certain BART-eligible sources fro m installing BART controls if the results of the dispersion modeling demonstrate that the source cannot reasonably be anticipated to cause or contribute to visibility impairment in a Class I area. Further, states also have the authority to define the modeling procedures for conducting modeling related to making BART determinations.



## 1.2 M ODELING 

## P ROTOCOL 

## B ACKGROUND To promote consistency between states in the de velopment of BART modeling protocols and to harmonize the approaches between adjacent RPOs, the Central States Regional Air Planning (CENRAP) organization developed BART Modeling Gu idelines (December 15, 2005). The intent ofAmerican Electric Power 1-2 Trinity Consultants BART Modeling Protocol 083701.0057 the guidelines is to assist CENRAP states and sour ce operators in the development of statewide and source-specific modeling protocols.



## 1.3 O BJECTIVE The objective of this document is to provide a protocol summarizing the modeling methods and procedures that will be followed to conduct a refined CALPUFF modeling analysis for the AEP stations discussed above. The modeling methods and procedures will be used to determine appropriate controls for AEP’s BART-eligible sour ces that can reasonably be anticipated to reduce the sources’ effects on or contribution to visibility impairment in the surrounding Class I areas.



## 1.4 L OCATION OF 

## S OURCES AND 

## R ELEVANT 

## C LASS 

## I A REAS The sources listed in Table 1-1 through 1-3 are th e sources that have been identified by AEP as sources that meet the three criteria for BART-eligible sources.

T ABLE 1-1. BART-E LIGIBLE S OURCES

EPN Description Comanche Sources Unit 1G1 1,250 MMBtu/hr Natural Gas Fired Turbine Unit 1G2 1,250 MMBtu/hr Natural Gas Fired Turbine Northeastern Sources Unit 2 4,754 MMBtu/hr Natural Gas Fired Boiler Unit 3 4,775 MMBtu/hr Coal Fired Boiler Unit 4 4,775 MMBtu/hr Coal Fired Boiler Southwestern Sources Unit 3 3,290 MMBtu/hr Natural Gas Fired Boiler
As required in CENRAP’s BART Modeling Guidelines, Class I areas within 300 km of each station will be included in each analysis. The following tables summarize the distances of the four closest Class I areas to each station. As seen from this summ ary, some Class I areas are more than 300 km from the certain stations. However, in order to de monstrate that each station will not have an adverse effect on the visibility at any of the four nearest Class I areas, AEP has opted to include those Class I areas more than 300 km away in this analysis. No te that the distances listed in the tables below are the distances between the stations and the closest border of the Class I areas.American Electric Power 1-3 Trinity Consultants BART Modeling Protocol 083701.0057 T ABLE 1-2. D ISTANCE F ROM S TATION TO S URROUNDING C LASS I A REAS

CACR HEGL UPBU WIMO
Comanche 381 537 463 40
Northeastern 262 244 209 323
Southwestern 389 513 449 44
A plot of the Class I areas with respect to th e each station is provided in Figure 1-1.



### F IGURE 

### 1-1. P LOT OF 

### S OURCES AND 

### N EAREST 

### C LASS 

### I A REAS

-800 -600 -400 -200 0 200 400 600 800 LCC Easting (km) -1600 -1400 -1200 -1000 -800 -600 -400 -200LCC Northing (km) Northeastern Station

Comanche Station Southwestern Station
WIMO CACR UPBU

HEGL

Class I AreasAmerican Electric Power 2-1 Trinity Consultants BART Modeling Protocol 083701.0057 

## 2. CALPUFF M ODEL 

## S YSTEM

The main components of the CALPUFF modeling system are CALMET, CALPUFF, and CALPOST. CALMET is the meteorological model that generat es hourly three-dimensional meteorological fields such as wind and temperature. CALPUFF simulates the non-steady state transport, dispersion, and chemical transformation of air pollutants emitte d from a source in “puffs”. CALPUFF calculates hourly concentrations of visibility affecting po llutants at each specified receptor in a modeling domain. CALPOST is the post-processor for CA LPUFF that computes visibility impacts from a source based on the visibility affecting pollutant concentrations that were output by CALPUFF.



## 2.1 M ODEL 

## V ERSIONS The versions of the CALPUFF modeling system programs that are proposed for conducting AEP’s BART modeling are listed in Table 2-1.

T ABLE 2-1. CALPUFF M ODELING S YSTEM V ERSIONS

Processor Version Level

TERREL 3.3 030402

CTGCOMP 2.21 030402

CTGPROC 2.63 050128

MAKEGEO 2.2 030402

CALMET 5.53a 040716

CALPUFF 5.8 070623

POSTUTIL 1.3 030402

CALPOST 5.51 030709



## 2.2 M ODELING 

## D OMAIN The CALPUFF modeling system utilizes three modeling grids: the meteorological grid, the computational grid, and the sampling grid. The meteorological grid is the system of grid points at which meteorological fields are developed with CALMET. The computational grid determines the computational area for a CALPUFF run. Puffs ar e advected and tracked only while within the computational grid. The meteorological grid is de fined so that it covers the areas of concern and gives enough marginal buffer area for puff transport and dispersion. A plot of the proposed meteorological modeling domain with respect to the Class I areas being modeled is provided in Figure 2-1. The computational domain will be set to extend at least 50 km in all directions beyondAmerican Electric Power 2-2 Trinity Consultants BART Modeling Protocol 083701.0057 the Comanche, Northeastern, and Southwestern Power Stations and the Class I areas of interest. Note that the map projection for the modeling domain will be Lambert Conformal Conic (LCC) and the datum will be the World Geodetic System 84 (WGS -84). The reference point for the modeling domain is Latitude 40oN, Longitude 97oW. The southwest corner will be set to -951.547 km LCC, - 1646.637 km LCC corresponding to Latitude 24.813 oN and Longitude 87.778oW. The meteorological grid spacing will be 4 km, resulting in 462 grid points in the X direction and 376 grid points in the Y direction.



### F IGURE 

### 2-1. R EFINED 

### M ETEOROLOGICAL 

### M ODELING 

### D OMAIN

-800 -600 -400 -200 0 200 400 600 800 LCC Easting (km) -1600 -1400 -1200 -1000

-800 -600 -400 -200LCC Northing (km) Northeastern Station

Comanche Station Southwestern Station
WIMO CACR UPBU

HEGL

Class I Areas Meteorological Modeling Domain

Computational Modeling DomainAmerican Electric Power 3-1 Trinity Consultants BART Modeling Protocol 083701.0057 

## 3. CALMET

The EPA Approved Version of the CALMET meteorol ogical processor will be used to generate the meteorological data for CALPUFF. CALMET is the meteorological processor that compiles meteorological data from raw observations of surface and upper air conditions, precipitation measurements, mesoscale model output, and geophy sical parameters into a single hourly, gridded data set for input into CALPUFF. CALMET will be used to assimilate data for 2001- 2003 using National Weather Service (NWS) surface stati on observations, upper air station observations, precipitation station observations, buoy station ob servations (for overwater areas), and mesoscale model output to develop the meteorological field.



## 3.1 G EOPHYSICAL 

## D ATA CALMET requires geophysical data to characteri ze the terrain and land use parameters that potentially affect dispersion. Terrain features affe ct flows and create turbulence in the atmosphere and are potentially subjected to hi gher concentrations of elevated puffs. Different land uses exhibit variable characteristics such as surface roughness, al bedo, Bowen ratio, and leaf-area index that also effect turbulence and dispersion.


### 3.1.1 T ERRAIN 

### D ATA
Terrain data will be obtained from the Unite d States Geological Survey (USGS) in 1-degree (1:250,000 scale or approximately 90 meter resolution) digital format. The USGS terrain data will then be processed by the TERREL program to generate grid-cell elevation averages across the modeling domain. A plot of the land elevations based on the USGS data for the modeling domain is provided in Figure 3-1.American Electric Power 3-2 Trinity Consultants BART Modeling Protocol 083701.0057 

### F IGURE 

### 3-1. P LOT OF 

### L AND 

### E LEVATION 

### U SING 

### USGS T ERRAIN 

### D ATA

-800 -600 -400 -200 0 200 400 600 800 LCC Easting(km) -1600 -1400 -1200 -1000

-800 -600 -400 -200LCCNorthing (km) Northeastern Station

Comanche Station Southwestern Station

0 982 1960 2950 3930

Terrain Elevation (m)



### 3.1.2 L AND 

### U SE 

### D ATA The land use land cover (LULC) data from the USGS North American land cover characteristics data base in the Lambert Azimuthal equal area map projection will be used in order to determine the land use within th e modeling domain. The LULC data will be processed by the CTGPROC program which w ill generate land use for each grid cell across the modeling domain. A plot of th e land use based on the USGS data for the modeling domain is provided in Figure 3-2.American Electric Power 3-3 Trinity Consultants BART Modeling Protocol 083701.0057 

### F IGURE 

### 3-2. P LOT OF 

### L AND 

### U SE 

### U SING 

### USGS LULC D ATA



### 3.1.3 C OMPILING 

### T ERRAIN AND LAND 

### U SE 

### D ATA The terrain data files output by the TERELL program and the LULC files output by the CTGPROC program will be uploaded into the MAKEGEO program to create a geophysical data file that will be input into CALMET.



## 3.2 M ETEOROLOGICAL 

## D ATA CALMET will be used to assimilate data for 2001, 2002, and 2003 using mesoscale model output and National Weather Service (NWS) surface stati on observations, upper air station observations, precipitation station observations, and National O ceanic and Atmosphere Administrations (NOAA) buoy station observations to develop the meteorological field.


### 3.2.1 M ESOSCALE 

### M ODEL 

### M ETEOROLOGICAL 

### D ATA Hourly mesoscale data will also be used as the initial guess field in developing the CALMET meteorological data. It is AEP’s intent to use the following 5 th generation mesoscale model meteorological data sets (or MM5 data) in the analysis:

• 2001 MM5 data at 12 km resolution generated by the U.S. EPA

• 2002 MM5 data at 36 km resolution generated by the Iowa DNR

-800 -600 -400 -200 0 200 400 600 800 LCC Easting (km) -1600 -1400 -1200 -1000 -800 -600 -400 -200

L C C N o r t h i n g ( k m )

10 27.5 45 62.5 80

Land Use Comanche Station Northeastern Station

Southwestern StationAmerican Electric Power 3-4 Trinity Consultants BART Modeling Protocol 083701.0057 • 2003 MM5 data set at 36 km resolution generated by the Midwest RPO
The specific MM5 data that will be used are subsets of the data listed above. As the contractor to CENRAP for developing the meteorological data sets for the BART modeling, Alpine Geophysics extracted thr ee subsets of MM5 data for each year from 2001 to 2003 from the data sets listed above using the CALMM5 extraction program. The three subsets covered the northern, central, and southern portions of CENRAP. AEP is proposing to use the southern set of the extracted MM5 data.

The 2001 southern subset of the extracted MM 5 data includes 30 files that are broken into 10 to 11 day increments (3 files per month). The 2002 and 2003 southern subsets of extracted MM5 data include 12 files each of wh ich are broken into 30 to 31 day increment files (1 file per month). Note that the 2001 to 2003 MM5 data extracted by Alpine Geophysics will not be able to be used directly in the modeling analysis. To run the Alpine Geophysics extracted MM data in the EPA approved CALMET program, each of the MM5 files will need to be adjusted by appending an additional six (6) hours, at a minimum, to the end of each file to account for the shift in time zones from the Greenwich Mean Time (GMT) prepared Alpine Geophysics data to Time Zone 6 for this analysis. No change to the data will occur.
The time periods covered by the data in each of the MM5 files extracted by Alpine Geophysics include a specific number of calendar days, where the data starts at Hour 0 in GMT for the first calendar day and ends at H our 23 in GMT on the last calendar day. In order to run CALMET in the local standard time (LST), which is necessary since the surface meteorological observations are recorded in LST, there must be hours of MM5 data referenced in a CALMET run that match the LST observation hours. Since the LST hours in Central Standard Time (CST) are 6 hours behi nd GMT, it is necessary to adjust the data in each MM5 file so that the time periods covered in the files match CST.
Based on the above discussion, the Alpine Geophysics MM5 data will not be used directly. Instead the data files will be modified to add 8 additional hours of data to the end of each file from the beginning of the subsequent file. CALMET will then be run using the appended MM5 data to generate a contiguous set of CALMET output files. The converted MM5 data files occupy approximately 1.2 terabytes (TB) of hard drive space.


### 3.2.2 S URFACE 

### M ETEOROLOGICAL 

### D ATA Parameters affecting turbulent dispersion that are observed hourly at surface stations include wind speed and direction, temperatur e, cloud cover and ceiling, relative humidity, and precipitation type. It is A EP’s intent to use the surface stations listed in Table A-1 of Appendix A. The locations of the surface stations with respect to the modeling domain are shown in Figure 3-3. The stations were selected from the available data inventory to optimize spatial coverage and representation of th e domain. Data from the stations will be processed for use in CALMET using EPA’s SMERGE program.American Electric Power 3-5 Trinity Consultants BART Modeling Protocol 083701.0057 

### F IGURE 

### 3-3. P LOT OF 

### S URFACE 

### S TATION 

### L OCATIONS

-800 -600 -400 -200 0 200 400 600 800 LCC Easting (km) -1600 -1400 -1200 -1000 -800 -600 -400 -200LCC Northing (km) Northeastern Station

Comanche Station Southwestern Station
WIMO CACR UPBU

HEGL

Class I Areas Surface Stations



### 3.2.3 U PPER 

### A IR 

### M ETEOROLOGICAL 

### D ATA Observations of meteorological conditions in the upper atmosphere provide a profile of turbulence from the surface through the depth of the boundary layer in which dispersion occurs. Upper air data are collected by balloons launched simultaneously across the observation network at 0000 Greenwich Mean Time (GMT) (6 o’clock PM in Oklahoma) and 1200 GMT (6 o’clock AM in Oklahoma). Sensors observe pressure, wind speed and direction, and temperature (among other pa rameters) as the balloon rises through the atmosphere. The upper air observation network is less dense than surface observation points since upper air conditions vary less and are generally not as affected by local effects (e.g., terrain or water bodies). The upper air sta tions that are proposed for this analysis are listed in Table A-2 of Appendix A. The locati ons of the upper air stations with respect to the modeling domain are shown in Figure 3- 4. These stations were selected from the available data inventory to optimize spatial coverage and representation of the domain. Data from the stations will be processed for use in CALMET using EPA’s READ62 program.American Electric Power 3-6 Trinity Consultants BART Modeling Protocol 083701.0057 

### F IGURE 

### 3-4. P LOT OF 

### U PPER 

### A IR 

### S TATIONS 

### L OCATIONS

-800 -600 -400 -200 0 200 400 600 800 LCC Easting (km) -1600 -1400 -1200 -1000 -800 -600 -400 -200LCC Northing (km) Northeastern Station

Comanche Station Southwestern Station
WIMO CACR UPBU

HEGL

Class I Areas Upper Air Stations



### 3.2.4 P RECIPITATION 

### M ETEOROLOGICAL 

### D ATA
The effects of chemical transformation and deposition processes on ambient pollutant concentrations will be considered in this an alysis. Therefore, it is necessary to include observations of precipitation in the CALMET anal ysis. The precipitation stations that are proposed for this analysis are listed in Table A-3 of Appendix A. The locations of the precipitation stations with respect to the modeling domain are shown in Figure 3-5. These stations were selected from the available data inventory to optimize spatial coverage and representation of the domain. Data from the stations will be processed for use in CALMET using EPA’s PMERGE program.American Electric Power 3-7 Trinity Consultants BART Modeling Protocol 083701.0057 

### F IGURE 

### 3-5. P LOT OF 

### P RECIPITATION METEOROLOGICAL 

### S TATIONS

-800 -600 -400 -200 0 200 400 600 800 LCC Easting (km) -1600 -1400 -1200 -1000 -800 -600 -400 -200LCC Northing (km) Northeastern Station

Comanche Station Southwestern Station
WIMO CACR UPBU

HEGL

Class I Areas Precipitation Stations



### 3.2.5 B UOY 

### M ETEOROLOGICAL 

### D ATA The effects of land/sea breeze on ambient polluta nt concentrations will be considered in this analysis. Therefore, it is necessary to include observations of buoy stations in the CALMET analysis. The buoy stations that are proposed for this analysis are listed in Table A-4 of Appendix A. The locations of the buoy stations with respect to the modeling domain are shown in Figure 3-6. These sta tions were selected from the available data inventory to optimize spatial coverage and representation of the domain along the coastline. Data from the stations will be pr epared by filling missing hour records with the CALMET missing parameter value (9999). No adjustments to the data will occur.American Electric Power 3-8 Trinity Consultants BART Modeling Protocol 083701.0057 

### F IGURE 

### 3-6. P LOT OF 

### B UOY 

### M ETEOROLOGICAL 

### S TATIONS

-800 -600 -400 -200 0 200 400 600 800 LCC Easting (km) -1600 -1400 -1200 -1000 -800 -600 -400 -200LCC Northing (km) Northeastern Station

Comanche Station Southwestern Station
WIMO CACR UPBU

HEGL

Class I Areas Buoy Stations



## 3.3 CALMET C ONTROL 

## P ARAMETERS A sample CALMET input file used in AEP’s modeli ng analysis is contained on the included CD. A few details of the CALMET model setup for sens itive parameters are also discussed below.


### 3.3.1 V ERTICAL 

### M ETEOROLOGICAL 

### P ROFILE The height of the top vertical layer will be set to 3,500 meters. This height corresponds to the top sounding pressure level for which upper air observation data w ill be relied upon. The vertical dimension of the domain will be divided into 12 layers with the maximum elevations for each layer shown in Table 3-1. The vertical dimensions are weighted towards the surface to resolve the mixing laye r while using a somewhat coarser resolution for the layers aloft.American Electric Power 3-9 Trinity Consultants BART Modeling Protocol 083701.0057 T ABLE 3-1. V ERTICAL L AYERS OF THE CALMET M ETEOROLOGICAL D OMAIN Layer Elevation (m) 1 20 2 40 3 60 4 80 5 100 6 150 7 200 8 250 9 500 10 1000 11 2000 12 3500
CALMET allows for a bias value to be applied to each of the vertical layers. The bias settings for each vertical layer determine th e relative weight given to the vertically extrapolated surface and upper air wind and temperature observations. The initial guess fields are computed with an inverse distance weighting (1/r 2 ) of the surface and upper air data. The initial guess fields may be modified by a layer dependent bias factor. Values for the bias factor may range from -1 to +1. A bias of -1 eliminates upper-air observations in the 1/r 2 interpolations used to initialize the vertical wind fields. Conversely, a bias of +1 eliminates the surface observations in the interpola tions for this layer. Normally, bias is set to zero (0) for each vertical layer, such that the upper air and surface observations are given equal weight in the 1/r 2 interpolations. The biases for each layer of the proposed modeling domain will be set to zero.
CALMET allows for vertical extrapolation of surface wind observations to layers aloft to be skipped if the surface station is close to the upper air station. Alternatively, CALMET allows data from all surface stations to be extrapolated. The CALMET parameter that controls this setting is IEXTRP. Setting IEXT RP to a value less than zero (0) means that layer 1 data from upper air soundings is ignored in any vertical extrapolations. IEXTRP will be set to -4 for this analysis (i.e., the sim ilarity theory is used to extrapolate the surface winds into the layers aloft, which provides more information on observed local effects to the upper layers).


### 3.3.2 I NFLUENCES OF 

### O BSERVATIONS Step 1 wind fields will be based on an initial guess using MM5 data and refined to reflect terrain affects. Step 2 wind fields will adju st the Step 1 wind field by incorporating the influence of local observations. An inver se distance method is used to determine the influence of observations to the Step 1 wind field. RMAX1 and RMAX2 define the radius of influence for data from surface stations to land in the surface layer and data from upper air stations to land in the layers aloft. In general, RMAX1 and RMAX2 are used to exclude observations from being inappropriately included in the development of the Step 2American Electric Power 3-10 Trinity Consultants BART Modeling Protocol 083701.0057 wind field if the distance from an observation station to a grid point exceeds the maximum radius of influence.

If the distance from an observation station to a grid point is less than the value set for RMAX, the observation data will be used in the development of the Step 2 wind field. R1 represents the distance from a surface observa tion station at which the surface observation and the Step 1 wind field are weighted equally. R2 represents the comparable distance for winds aloft. R1 and R2 are used to weight the observation data with respect to the MM5 data that was used to generate the Step 1 wind field. Large values for R1 and R2 give more weight to the observations, where as small va lues give more weight to the MM5 data.
In this BART modeling analysis, RMAX 1 will be set to 20 km, and R1 will be set to 10 km. This will limit the influence of the surf ace observation data from all surface stations to 20 km from each station, and will equally wei ght the MM5 and observation data at 10 km. RMAX2 will be set to 50 km, and R2 will be set to 25 km. This will limit the influence of the upper air observation data from all surface stations to 50 km from each station, and will equally weight the MM5 and observation data at 25 km. These settings of radius of influence will allow for adequate weighting of the MM5 data and the observation data across the modeling domain due to the vast domai n to be modeled. RAMX 3 will be set to 500 km.American Electric Power 4-1 Trinity Consultants BART Modeling Protocol 083701.0057 

## 4. CALPUFF

The CALPUFF model uses the output file from CA LMET together with source, receptor, and chemical reaction information to predict hourly c oncentration impacts. AEP proposes to conduct a three-year CALPUFF analysis using data and model settings as described below.



## 4.1 E MISSIONS 

## S OURCE 

## D ATA Baseline (pre-BART) emission data will be based upon CEMS data collected by AEP over the 2002- 2005 time frame. Emissions for the various em ission control scenarios will be based upon control device performance estimates and engineering design estimates.



## 4.2 R ECEPTOR 

## L OCATIONS The National Park Service (NPS) has electronic f iles available on their website that include the discrete locations and elevations of receptors to be evaluated in Class I area analyses. These receptor sets will be used in the CALPUFF model.



## 4.3 B ACKGROUND 

## O ZONE AND 

## A MMONIA Background ozone concentrations ar e required in order to model the photochemical conversion of SO 2 and NO X to sulfates (SO 4 ) and nitrates (NO 3 ). CALPUFF can use either a single background value representative of an area or hourly ozone da ta from one or more ozone monitoring stations. Hourly ozone data files will be used in the CA LPUFF simulation. As provided by the Oklahoma DEQ, hourly ozone data for the Oklahoma City , Glenpool, and Lawton monitors over the 2001-2003 timeframe will be used. In addition, the monthly va lue will be set to 40 ppb. This value will only be used by the model if there are missing hourly ozone records. Background concentrations for ammonia will be assumed to be temporally and sp atially invariant and will be set to 3 ppb.



## 4.4 CALPUFF M ODEL 

## C ONTROL 

## P ARAMETERS A sample CALPUFF input file that is proposed fo r the AEP refined modeling analyses is provided on the included CD. Please note that puff splitting is a generally accepted option in refined modeling analyses over large model domains for assessing impacts on Class I areas; however, this option would require significant computer resources and longer runtim e. Due to this, AEP will evaluate the use of this option during the modeling analysis and provid e details in the modeling report about its use.American Electric Power 5-1 Trinity Consultants BART Modeling Protocol 083701.0057 

## 5. P OST 

## P ROCESSING

Hourly concentration outputs from CALPUFF w ill be processed through POSTUTIL and CALPOST to determine visibility conditions. A three-year CALPOST analysis will be conducted to determine the visibility change in deciview (dv) caused by AEP’s BART-eligible sources when compared to a natural background.



## 5.1 POSTUTIL P ROCESSING 

## M ETHOD In the post-processing of CALPUFF-computed concentr ations of visibility-affecting pollutants, the POSTUTIL post-processing utility will be used to apply the ammonia limiting method (ALM) by repartitioning the distribution of HNO 3 and NO 3 concentrations at each Class I area as a function of the temperature and relative humidity during each hour. A sample POSTUTIL input file is provided on the included CD.



## 5.2 CALPOST

– L IGHT 

## E XTINCTION 

## A LGORITHM The algorithm will be used to calculate the daily lig ht extinction attributable to AEP’s BART-eligible sources and light extinction attributable to a natura l background. The change in deciviews based on the source and background light extinctions will be evaluated usi ng the equation below.



### Δ dv = 10*ln b b b ext, background ext, source
ext, background 

### + ⎡ ⎣ ⎢ ⎢ ⎤ ⎦ ⎥ ⎥

EPA’s currently approved algorithm for assessing lig ht extinction and the u pdated light extinction calculation algorithms developed by the Interagency Monitoring of Protected Visual Environments (IMPROVE) workgroup will be used to assess BART eligibility for AEP’s Comanche, Northeastern, and Southwestern Power Stations.
The background extinction coefficient b ext, background is affected by various chemical species and the Rayleigh scattering phenomenon. The original equati on for the background extinction coefficient in the FLM’s FLAG guidance is as follows: 

# ( ) Ray ap Coarse Soil OC NO SO background ext b b b b b b b Mm b + + + + + + = − 3 4 1

,

where,American Electric Power 5-2 Trinity Consultants BART Modeling Protocol 083701.0057 

### ( ) 

## [ ] ( ) 

## [ ] ( ) 

## [ ] [ ] [ ] [ ] 

## ( ) ( ) 

## [ ] 3 1 3 4 3 4 2 4 4

m μ g in ion Concentrat Function Humidity Relative default by Mm 10 Scattering Rayleigh

EC 10 Mass Coarse 6

. 0 Soil 1 OC 4 NO NH 3 SO

NH 3

= =

= = = = = = =

− RH f b b b b b RH f b RH f b

Ray

ap Coarse Soil OC NO SO 

### ( ) 

## [ ] [ ] [ ] [ ] [ ] [ ] molecules air to due scattering is Scattering Rayleigh carbon elemental of ion concentrat the denotes EC dusts coarse of ion concentrat the denotes Mass Coarse soils fine of ion concentrat the denotes Soil carbon organic of ion concentrat the denotes OC ion concentrat nitrate ammonium the denotes NO NH ion concentrat sulfate ammonium the denotes SO NH

3 4 4 2 4

More recently, the Interagency Monitoring of Protected Visual Environments (IMPROVE) workgroup has proposed a more robust equation for calculating background visibility, as described in detail in a report entitled “Revised IMPROVE Al gorithm for Estimating Light Extinction from Particle Speciation Data.” 1 The updated algorithm, which has been approved by the IMPROVE Steering Committee and is currently undergoing peer review, provides a more refined calculation by including visibility impairment due to the following processes:

▲ Visibility impairment due to different sizes of sulfates, nitrates, and organic carbon

▲ Visibility impairment due to sea salt particles

▲ Distinct water growth curves (i.e., f (RH)) for small sulfates and nitrates, large sulfates and nitrates, and sea salt

▲ Elevation-dependent (hence Class I area dependent) Rayleigh scattering coefficient

▲ Visibility impairment due to gaseous nitrogen dioxide (NO 2 )
The revised IMPROVE light extinctio n algorithm takes the following form:



### = ext 

### b 

## ( ) ( ) 

## [ ] ( ) ( ) 

## [ ] ( ) 

## [ ] ( ) 

## [ ] [ ] [ ] [ ][ ] [ ] ( ) 

## [ ] [] 2 Scattering Rayleigh specific Site Large Small Large 3 4 Small 3 4 Large 2 4 4 Small 2 4 4



### NO 33

. 0 Salt Sea 4

. 1 PMC 6

. 0 PMF 1 EC 10 OC 1

. 6 OC 8

. 2 NO NH 1

. 5 NO NH 4

. 2 SO NH 8

. 4 SO NH 2

. 2

+ + + + + + + + + +

+

− 

### b RH f RH f RH f RH f RH f

SS L S L S

For the purposes of calculating the natural backgr ound visibility at Class I areas in this BART modeling analysis, AEP will assess the use of the revised IMPROVE algorithm for the BART Determination Modeling. Values for the paramete rs listed above specific to the natural background conditions at the Class I areas will be obtained on an annual average basis in the U.S. EPA’s Guidance for Estimating Natural Visibil ity Conditions under the Regional Haze Rule

. 2 More detailed information about the natural background conditions particular to Class I areas potentially affected by AEP’s operations at the individual generating sta tions and implementation of the revised IMPROVE equation will be provided in the BART Modeling Report.

1 http://vista.cira.colostate.edu/IMPROVE/P ublications/GrayLit/gray_literature.htm. 2 U.S. EPA, Guidance for Estimating Natural Visibility Conditions Under the Regional Haze Rule , Table 2-1, Attachment A, September 2003, EPA-454/B-03-005.American Electric Power 5-3 Trinity Consultants BART Modeling Protocol 083701.0057 Particulate species that affect visibility are emitted from anthropogenic sources and include coarse particulate matter (PMC), fine particulate ma tter (PMF), and elemental carbon (EC), as well as precursors to secondary organic aerosols (SOA) and fine particulate matter such as SO 2 and NO X . The extinction coefficient due to emissions of visibility-affecting pollutants from a single BARTeligible source b ext,source is calculated using an air quality model. The extinction due to the BARTeligible source was calculated as s hown in the following equation. 

## ( ) EC SOA PMF PMC NO SO source ext b b b b b b Mm b + + + + + = − 3 4 1

, where, 

### ( ) 

## [ ] ( ) 

## [ ] ( ) 

## [ ] [ ]

[ ] [ ] ( ) 

## [ ] 3 3 4 3 4 2 4 4

m μ g in ion Concentrat Function Humidity Relative EC 10 PMC 6

. 0 PMF 1 SOA 4 NO

NH 3 SO

NH 3

= =

=

= = = = =

RH f b b b b RH f b RH f b

EC

PMC PMF SOA NO SO 

### ( ) 

## [ ] [ ] [ ] [ ] [ ] [ ] carbon elemental of ion concentrat the denotes EC PM coarse of ion concentrat the denotes PMC PM fine of ion concentrat the denotes PMF aerosols organic secondary of ion concentrat the denotes SOA ion concentrat nitrate ammonium the denotes NO NH ion concentrat sulfate ammonium the denotes SO NH

3 4 4 2 4



## 5.3 CALPOST P ROCESSING METHOD CALPOST Method 6, which calculates hourly light ex tinction impacts for the source and background using monthly average relative humidity adjustment factors will be used in the refined BART analysis. Monthly Class I area-specific relative humid ity adjustment factors based on the centroid of the Class I areas as included in Table A-3 of EPA’s Guidance for Estimating Natural Visibility Conditions Under the Regional Haze Program will be used. The factors for the Class I areas listed to be evaluated in the analysis are provided in Table 4-1.

T ABLE 5-1. M ONTHLY H UMIDITY F ACTORS
Class I Area Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Caney Creek 3.4 3.1 2.9 3.0 3.6 3.6 3.4 3.4 3.6 3.5 3.4 3.5 Hercules-Glades 3.2 2.9 2.7 2.7 3.3 3.3 3.3 3.3 3.4 3.1 3.1 3.3 Upper Buffalo 3.3 3.0 2.7 2.8 3.4 3.4 3.4 3.4 3.6 3.3 3.2 3.3 Wichita Mountains 2.7 2.6 2.4 2.4 3.0 2.7 2.3 2.5 2.9 2.6 2.7 2.8



## 5.4 N ATURAL 

## B ACKGROUND EPA’s default average annual aerosol concentrations for the U.S. that are included in Table 2-1 of EPA’s Guidance for Estimating Natural Visibility Conditions Under the Regional Haze Program will be used

. The annual average concentrations are provided in Table 4-2.American Electric Power 5-4 Trinity Consultants BART Modeling Protocol 083701.0057 T ABLE 5-2. D EFAULT A VERAGE A NNUAL N ATURAL B ACKGROUND L EVELS

Class I Area Region SO 4 NO 3 OC EC Soil Coarse Mass Caney Creek EAST 0.23 0.10 1.40 0.02 0.50 3.00 Hercules-Glades EAST 0.23 0.10 1.40 0.02 0.50 3.00 Upper Buffalo EAST 0.23 0.10 1.40 0.02 0.50 3.00 Wichita Mountains WEST 0.12 0.10 0.47 0.02 0.50 3.00



## 5.5 E VALUATING 

## V ISIBILITY 

## R ESULTS When evaluating cost-control effectiveness of the various control scenarios, AEP will examine the 98 th percentile of the 2001-2003 daily Δ dv values output by CALPOST.



## 5.6 S UMMARY OF 

## CALPOST C ONTROL 

## P ARAMETERS A sample CALPOST input file that AEP is proposing for the modeling analysis is contained on the included CD.American Electric Power A-1 Trinity Consultants BART Modeling Protocol 083701.0057 

## A PPENDIX 

## A- M ETEOROLOGICAL 

## S TATIONS

T ABLE A-1. L IST OF S URFACE METEOROLOGICAL S TATIONS

Number Station Acronym Station ID LCC East (km) LCC North (km) Long Lat 1 KDYS 69019 -267.672 -834.095 96.9968 39.9925 2 KNPA 72222 932.565 -1020.909 97.0110 39.9908 3 KBFM 72223 857.471 -996.829 97.0101 39.9910 4 KGZH 72227 946.767 -899.515 97.0112 39.9919 5 KTCL 72228 870.843 -706.104 97.0103 39.9936 6 KNEW 53917 674.172 -1078.342 97.0080 39.9903 7 KNBG 12958 677.719 -1104.227 97.0080 39.9900 8 BVE 12884 741.996 -1153.463 97.0088 39.9896 9 KPTN 72232 550.88 -1124.295 97.0065 39.9898 10 KMEI 13865 774.911 -814.225 97.0092 39.9926 11 KPIB 72234 728.416 -915.165 97.0086 39.9917 12 KGLH 72235 557.072 -703.097 97.0066 39.9936 13 KHEZ 11111 540.777 -912.22 97.0064 39.9918 14 KMCB 11112 622.755 -949.618 97.0074 39.9914 15 KGWO 11113 640.102 -695.286 97.0076 39.9937 16 KASD 72236 692.381 -1043.261 97.0082 39.9906 17 KPOE 72239 363.294 -984.839 97.0043 39.9911 18 KBAZ 72241 -102.133 -1140.886 96.9988 39.9897 19 KGLS 72242 215.108 -1185.604 97.0025 39.9893 20 KDWH 11114 140.413 -1101.174 97.0017 39.9900 21 KIAH 12960 158.266 -1108.37 97.0019 39.9900 22 KHOU 72243 167.147 -1147.402 97.0020 39.9896 23 KEFD 12906 178.551 -1152.782 97.0021 39.9896 24 KCXO 72244 152.739 -1069.309 97.0018 39.9903 25 KCLL 11115 60.898 -1044.381 97.0007 39.9906 26 KLFK 93987 214.643 -969.355 97.0025 39.9912 27 KUTS 11116 136.056 -1026.773 97.0016 39.9907 28 KTYR 11117 150.451 -846.207 97.0018 39.9924 29 KCRS 72246 56.655 -882.642 97.0007 39.9920 30 KGGG 72247 214.572 -841.163 97.0025 39.9924 31 KGKY 11118 -9.365 -812.25 96.9999 39.9927 32 KDTN 72248 304.827 -821.713 97.0036 39.9926 33 KBAD 11119 312.743 -825.101 97.0037 39.9925 34 KMLU 11120 465.834 -816.211 97.0055 39.9926 35 KTVR 11121 561.446 -840.225 97.0066 39.9924 36 KTRL 11122 68.599 -806.417 97.0008 39.9927 37 KOCH 72249 216.81 -930.252 97.0026 39.9916 38 KBRO 12919 -44.167 -1571.387 96.9995 39.9858 39 KALI 72251 -103.012 -1363.74 96.9988 39.9877American Electric Power A-2 Trinity Consultants BART Modeling Protocol 083701.0057 Number Station Acronym Station ID LCC East (km) LCC North (km) Long Lat 40 KLRD 12920 -246.548 -1381.603 96.9971 39.9875 41 KSSF 72252 -143.386 -1183.35 96.9983 39.9893 42 KRKP 11123 -4.965 -1324.914 96.9999 39.9880 43 KCOT 11124 -219.097 -1280.964 96.9974 39.9884 44 KLBX 11125 150.245 -1207.466 97.0018 39.9891 45 KSAT 12921 -143.024 -1160.935 96.9983 39.9895 46 KHDO 12962 -211.702 -1178.172 96.9975 39.9894 47 KSKF 72253 -154.625 -1177.555 96.9982 39.9894 48 KHYI 11126 -84.156 -1122.487 96.9990 39.9899 49 KTKI 72254 38.788 -754.791 97.0005 39.9932 50 KBMQ 11127 -118.39 -1027.031 96.9986 39.9907 51 KATT 11128 -67.587 -1075.97 96.9992 39.9903 52 KSGR 11129 131.478 -1151.702 97.0016 39.9896 53 KGTU 11130 -65.624 -1033.173 96.9992 39.9907 54 KVCT 12912 6.587 -1236.788 97.0001 39.9888 55 KPSX 72255 73.878 -1253.33 97.0009 39.9887 56 KACT 13959 -22.12 -929.156 96.9997 39.9916 57 KPWG 72256 -30.147 -944.073 96.9996 39.9915 58 KILE 72257 -65.288 -988.507 96.9992 39.9911 59 KGRK 11131 -79.643 -990.173 96.9991 39.9911 60 KTPL 11132 -38.203 -981.19 96.9996 39.9911 61 KPRX 13960 143.317 -703.663 97.0017 39.9936 62 KDTO 72258 -17.018 -752.974 96.9998 39.9932 63 KAFW 11133 -29.564 -777.061 96.9997 39.9930 64 KFTW 72259 -34.302 -795.502 96.9996 39.9928 65 KMWL 11134 -99.769 -798.767 96.9988 39.9928 66 KRBD 11135 12.453 -810.467 97.0002 39.9927 67 KDRT 11136 -384.069 -1170.59 96.9955 39.9894 68 KFST 22010 -566.418 -988.838 96.9933 39.9911 69 KGDP 72261 -739.127 -873.302 96.9913 39.9921 70 KSJT 72262 -333.338 -952.54 96.9961 39.9914 71 KMRF 23034 -676.265 -1042.616 96.9920 39.9906 72 KMAF 72264 -489.668 -878.107 96.9942 39.9921 73 KINK 23023 -586.882 -890.654 96.9931 39.9920 74 KABI 72265 -252.044 -836.353 96.9970 39.9924 75 KLBB 13962 -445.006 -689.313 96.9948 39.9938 76 KATS 11137 -696.818 -763.258 96.9918 39.9931 77 KCQC 11138 -785.757 -515.724 96.9907 39.9953 78 KROW 23009 -698.822 -712.898 96.9918 39.9936 79 KSRR 72268 -789.593 -686.226 96.9907 39.9938 80 KCNM 11139 -682.79 -822.109 96.9919 39.9926 81 KALM 36870 -838.056 -752.338 96.9901 39.9932 82 KLRU 72269 -931.527 -804.112 96.9890 39.9927 83 KTCS 72271 -952.353 -695.469 96.9888 39.9937 84 KSVC 93063 -1042.03 -752.033 96.9877 39.9932American Electric Power A-3 Trinity Consultants BART Modeling Protocol 083701.0057 Number Station Acronym Station ID LCC East (km) LCC North (km) Long Lat 85 KDMN 72272 -1006.77 -799.231 96.9881 39.9928 86 KMSL 72323 854.846 -536.687 97.0101 39.9952 87 KPOF 72330 578.62 -336.733 97.0068 39.9970 88 KGTR 11140 779.065 -689.108 97.0092 39.9938 89 KTUP 93862 753.875 -600.337 97.0089 39.9946 90 KMKL 72334 727.051 -454.383 97.0086 39.9959 91 KLRF 72340 440.654 -550.661 97.0052 39.9950 92 KHKA 11141 643.365 -424.419 97.0076 39.9962 93 KHOT 72341 358.094 -604.603 97.0042 39.9945 94 KTXK 11142 278.022 -720.623 97.0033 39.9935 95 KLLQ 72342 488.655 -698.008 97.0058 39.9937 96 KMWT 72343 254.18 -599.224 97.0030 39.9946 97 KFSM 13964 237.97 -512.87 97.0028 39.9954 98 KSLG 72344 224.881 -419.064 97.0027 39.9962 99 KVBT 11143 248.074 -399.892 97.0029 39.9964 100 KHRO 11144 343.525 -405.601 97.0041 39.9963 101 KFLP 11145 404.239 -399.142 97.0048 39.9964 102 KBVX 11146 480.712 -457.853 97.0057 39.9959 103 KROG 11147 258.44 -397.685 97.0031 39.9964 104 KSPS 13966 -138.053 -664.886 96.9984 39.9940 105 KHBR 72352 -186.121 -551.123 96.9978 39.9950 106 KCSM 11148 -198.844 -513.911 96.9977 39.9954 107 KFDR 11149 -181.653 -625.205 96.9979 39.9944 108 KGOK 72353 -35.905 -458.97 96.9996 39.9959 109 KTIK 72354 -34.581 -506.938 96.9996 39.9954 110 KPWA 11150 -58.596 -493.951 96.9993 39.9955 111 KSWO 11151 -7.42 -425.828 96.9999 39.9962 112 KMKO 72355 146.972 -479.879 97.0017 39.9957 113 KRVS 72356 91.059 -438.276 97.0011 39.9960 114 KBVO 11152 87.136 -357.069 97.0010 39.9968 115 KMLC 11153 110.647 -563.566 97.0013 39.9949 116 KOUN 72357 -40.731 -527.298 96.9995 39.9952 117 KLAW 11154 -129.405 -600.222 96.9985 39.9946 118 KCDS 72360 -300.297 -610.668 96.9965 39.9945 119 KGNT 72362 -985.117 -475.563 96.9884 39.9957 120 KGUP 11155 -1059.48 -427.151 96.9875 39.9961 121 KAMA 23047 -425.319 -518.171 96.9950 39.9953 122 KBGD 72363 -395.603 -466.083 96.9953 39.9958 123 KFMN 72365 -993.449 -297.944 96.9883 39.9973 124 KSKX 72366 -770.464 -355.855 96.9909 39.9968 125 KTCC 23048 -597.271 -511.241 96.9930 39.9954 126 KLVS 23054 -732.565 -448.329 96.9914 39.9960 127 KEHR 72423 812.573 -199.695 97.0096 39.9982 128 KEVV 93817 822.929 -172.715 97.0097 39.9984 129 KMVN 72433 704.666 -154.54 97.0083 39.9986American Electric Power A-4 Trinity Consultants BART Modeling Protocol 083701.0057 Number Station Acronym Station ID LCC East (km) LCC North (km) Long Lat 130 KMDH 11156 676.745 -218.041 97.0080 39.9980 131 KBLV 11157 617.659 -136.018 97.0073 39.9988 132 KSUS 3966 547.898 -130.122 97.0065 39.9988 133 KPAH 3816 725.985 -293.319 97.0086 39.9974 134 KJEF 72445 419.01 -145.496 97.0050 39.9987 135 KAIZ 11158 387.096 -200.609 97.0046 39.9982 136 KIXD 72447 182.322 -126.913 97.0022 39.9989 137 KWLD 72450 0 -298.57 97.0000 39.9973 138 KAAO 11159 -18.976 -248.773 96.9998 39.9978 139 KIAB 11160 -23.392 -263.471 96.9997 39.9976 140 KEWK 11161 -24.645 -215.58 96.9997 39.9981 141 KGBD 72451 -161.892 -180.781 96.9981 39.9984 142 KHYS 11162 -195.191 -124.723 96.9977 39.9989 143 KCFV 11163 126.442 -319.698 97.0015 39.9971 144 KFOE 72456 114.618 -115.26 97.0014 39.9990 145 KEHA 72460 -432.761 -320.089 96.9949 39.9971 146 KALS 72462 -777.592 -245.892 96.9908 39.9978 147 KDRO 11164 -945.713 -259.163 96.9888 39.9977 148 KLHX 72463 -568.426 -195.178 96.9933 39.9982 149 KSPD 2128 -494.076 -285.176 96.9942 39.9974 150 KCOS 93037 -664.022 -102.596 96.9922 39.9991 151 KGUC 72467 -857.452 -115.301 96.9899 39.9990 152 KMTJ 93013 -940.981 -109.358 96.9889 39.9990 153 KCEZ 72476 -1020.87 -233.14 96.9880 39.9979 154 KCPS 72531 591.652 -136.14 97.0070 39.9988 155 KLWV 72534 808.939 -94.46 97.0096 39.9992 156 KPPF 74543 130.433 -293.855 97.0015 39.9973 157 KHOP 74671 841.751 -324.569 97.0099 39.9971 158 KBIX 74768 778.252 -1028.514 97.0092 39.9907 159 KPQL 11165 814.599 -1019.583 97.0096 39.9908 160 MMPG 76243 -348.007 -1248.779 96.9959 39.9887 161 MMMV 76342 -446.576 -1449.334 96.9947 39.9869 162 MMMY 76394 -316.664 -1581.176 96.9963 39.9857American Electric Power A-5 Trinity Consultants BART Modeling Protocol 083701.0057 T ABLE A-2. L IST OF U PPER A IR METEOROLOGICAL S TATIONS

Number Station Acronym Station ID LCC East (km) LCC North (km) Long Lat 1 KABQ 23050 -869.46 -501.713 96.9897 39.9955 2 KAMA 23047 -425.319 -518.171 96.9950 39.9953 3 KBMX 53823 951.609 -702.935 97.0112 39.9936 4 KBNA 13897 920.739 -377.164 97.0109 39.9966 5 KBRO 12919 -44.167 -1571.39 96.9995 39.9858 6 KCRP 12924 -51.535 -1360.35 96.9994 39.9877 7 KDDC 13985 -259.352 -242.681 96.9969 39.9978 8 KDRT 22010 -384.069 -1170.59 96.9955 39.9894 9 KEPZ 3020 -914.558 -852.552 96.9892 39.9923 10 KFWD 3990 -28.034 -793.745 96.9997 39.9928 11 KJAN 3940 650.105 -826.452 97.0077 39.9925 12 KLCH 3937 364.461 -1089.15 97.0043 39.9902 13 KLZK 3952 432.063 -560.441 97.0051 39.9949 14 KMAF 23023 -489.668 -878.107 96.9942 39.9921 15 KOUN 3948 -40.731 -527.298 96.9995 39.9952 16 KSHV 13957 298.869 -831.166 97.0035 39.9925 17 KSIL 53813 698.079 -1054.03 97.0082 39.9905American Electric Power A-6 Trinity Consultants BART Modeling Protocol 083701.0057 T ABLE A-3. L IST OF P RECIPITATION METEOROLOGICAL S TATIONS

Number Station Acronym Station ID LCC East (km) LCC North (km) Long Lat 1 ADDI 10063 906.825 -601.428 97.0107 39.9946 2 ALBE 10140 917.606 -821.64 97.0108 39.9926 3 BERR 10748 892.454 -683.388 97.0105 39.9938 4 HALE 13620 881.928 -601.878 97.0104 39.9946 5 HAMT 13645 863.663 -612.725 97.0102 39.9945 6 JACK 14193 898.014 -915.623 97.0106 39.9917 7 MBLE 15478 851.953 -1022.41 97.0101 39.9908 8 MUSC 15749 880.113 -567.484 97.0104 39.9949 9 PETE 16370 935.558 -908 .259 97.0110 39.9918 10 THOM 18178 900.858 -915.326 97.0106 39.9917 11 TUSC 18385 895.631 -713.223 97.0106 39.9936 12 VERN 18517 825.585 -685.773 97.0098 39.9938 13 BEEB 30530 462.394 -532.485 97.0055 39.9952 14 BRIG 30900 318.015 -554.857 97.0038 39.9950 15 CALI 31140 419.619 -731.44 97.0050 39.9934 16 CAMD 31152 386.546 -699.659 97.0046 39.9937 17 DIER 32020 268.114 -643.184 97.0032 39.9942 18 EURE 32356 286.738 -390.862 97.0034 39.9965 19 GILB 32794 383.362 -435.625 97.0045 39.9961 20 GREE 32978 450.594 -483.201 97.0053 39.9956 21 STUT 36920 509.943 -596.328 97.0060 39.9946 22 TEXA 37048 278.022 -720.623 97.0033 39.9935 23 ALAM 50130 -749.044 -267.856 96.9912 39.9976 24 ARAP 50304 -441.903 -152.324 96.9948 39.9986 25 COCH 51713 -819.794 -148.582 96.9903 39.9987 26 CRES 51959 -828.107 -119.911 96.9902 39.9989 27 GRAN 53477 -451.781 -203.82 96.9947 39.9982 28 GUNN 53662 -829.573 -141.995 96.9902 39.9987 29 HUGO 54172 -539.364 -81.948 96.9936 39.9993 30 JOHN 54388 -483.95 -201.915 96.9943 39.9982 31 KIM 54538 -544.501 -283.337 96.9936 39.9974 32 MESA 55531 -993.391 -256.696 96.9883 39.9977 33 ORDW 56136 -549.552 -55.741 96.9935 39.9995 34 OURA 56203 -904.197 -168.246 96.9893 39.9985 35 PLEA 56591 -1005.94 -229.472 96.9881 39.9979 36 PUEB 56740 -633.961 -176.872 96.9925 39.9984 37 TYE 57320 -662.095 -242.254 96.9922 39.9978 38 SAGU 57337 -790.269 -176.061 96.9907 39.9984American Electric Power A-7 Trinity Consultants BART Modeling Protocol 083701.0057 Number Station Acronym Station ID LCC East (km) LCC North (km) Long Lat 39 SANL 57428 -726.777 -285.47 96.9914 39.9974 40 SHEP 57572 -714.046 -252.189 96.9916 39.9977 41 TELL 58204 -920.205 -215 .382 96.9891 39.9981 42 TERC 58220 -708.229 -296.023 96.9916 39.9973 43 TRIN 58429 -642.489 -293.805 96.9924 39.9973 44 TRLK 58436 -646.185 -295.727 96.9924 39.9973 45 WALS 58781 -654.989 -262.821 96.9923 39.9976 46 WHIT 58997 -619.615 -250.12 96.9927 39.9977 47 ASHL 110281 684.787 -169.285 97.0081 39.9985 48 CAIR 111166 697.177 -301.436 97.0082 39.9973 49 CARM 111302 772.938 -177.782 97.0091 39.9984 50 CISN 111664 758.146 -151.446 97.0090 39.9986 51 FLOR 113109 751.801 -139.837 97.0089 39.9987 52 HARR 113879 762.044 -246.62 97.0090 39.9978 53 KASK 114629 650.464 -239.886 97.0077 39.9978 54 LAWR 114957 829.038 -128.708 97.0098 39.9988 55 MTCA 115888 827.797 -149.966 97.0098 39.9986 56 MURP 115983 682.261 -251.649 97.0081 39.9977 57 NEWT 116159 766.098 -72.902 97.0090 39.9993 58 REND 117187 731.633 -185.058 97.0086 39.9983 59 SMIT 118020 770.027 -283.638 97.0091 39.9974 60 SPAR 118147 658.275 -185.973 97.0078 39.9983 61 VAND 118781 685.449 -127.048 97.0081 39.9989 62 WEST 119193 778.655 -147.215 97.0092 39.9987 63 EVAN 122738 842.476 -172.871 97.0100 39.9984 64 NEWB 126151 855.854 -223.713 97.0101 39.9980 65 PRIN 127125 836.901 -153.449 97.0099 39.9986 66 STEN 128442 859.099 -156.613 97.0101 39.9986 67 JTML 128967 788.703 -239.572 97.0093 39.9978 68 ARLI 140326 -101.734 -271.373 96.9988 39.9976 69 BAZI 140620 -210.423 -201.758 96.9975 39.9982 70 BEAU 140637 59.762 -288.39 97.0007 39.9974 71 BONN 140957 211.236 -103.29 97.0025 39.9991 72 CALD 141233 -32.689 -330.586 96.9996 39.9970 73 CASS 141351 54.006 -217.645 97.0006 39.9980 74 CENT 141404 170.503 -206.038 97.0020 39.9981 75 CHAN 141427 150.257 -286.094 97.0018 39.9974 76 CLIN 141612 155.623 -157.682 97.0018 39.9986 77 COLL 141730 -265.465 -156.95 96.9969 39.9986 78 COLU 141740 220.541 -316.555 97.0026 39.9971American Electric Power A-8 Trinity Consultants BART Modeling Protocol 083701.0057 Number Station Acronym Station ID LCC East (km) LCC North (km) Long Lat 79 CONC 141867 58.918 -175.589 97.0007 39.9984 80 DODG 142164 -226.497 -277.655 96.9973 39.9975 81 ELKH 142432 -400.112 -321.784 96.9953 39.9971 82 ENGL 142560 -264.927 -324.066 96.9969 39.9971 83 ERIE 142582 162.669 -291.383 97.0019 39.9974 84 FALL 142686 83.491 -288.177 97.0010 39.9974 85 GALA 142938 -136.931 -176.83 96.9984 39.9984 86 GARD 142980 -304.059 -215.308 96.9964 39.9981 87 GREN 143248 64.308 -307.161 97.0008 39.9972 88 HAYS 143527 -190.307 -161.342 96.9978 39.9985 89 HEAL 143554 -292.133 -175.921 96.9966 39.9984 90 HILL 143686 214.018 -174.006 97.0025 39.9984 91 INDE 143954 139.335 -315.058 97.0016 39.9972 92 IOLA 143984 153.451 -269.438 97.0018 39.9976 93 JOHR 144104 134.784 -203.41 97.0016 39.9982 94 KANO 144178 -50.289 -181.177 96.9994 39.9984 95 KIOW 144341 -113.967 -329.843 96.9987 39.9970 96 MARI 145039 -4.343 -195.712 97.0000 39.9982 97 MELV 145210 137.104 -186.781 97.0016 39.9983 98 MILF 145306 39.504 -106.05 97.0005 39.9990 99 MOUD 145536 152.624 -318.136 97.0018 39.9971 100 OAKL 145888 -306.378 -96.814 96.9964 39.9991 101 OTTA 146128 158.639 -178.635 97.0019 39.9984 102 POMO 146498 143.864 -176.707 97.0017 39.9984 103 SALI 147160 -29.426 -166.908 96.9997 39.9985 104 SMOL 147551 -34.639 -171.31 96.9996 39.9985 105 STAN 147756 225.026 -164.85 97.0027 39.9985 106 SUBL 147922 -303.514 -292.808 96.9964 39.9974 107 TOPE 148167 139.116 -104.91 97.0016 39.9991 108 TRIB 148235 -387.855 -180.643 96.9954 39.9984 109 UNIO 148293 211.43 -272.537 97.0025 39.9975 110 WALL 148535 -376.076 -152.432 96.9956 39.9986 111 WICH 148830 -23.729 -288.579 96.9997 39.9974 112 WILS 148946 -111.502 -156.22 96.9987 39.9986 113 BENT 150611 781.608 -348.109 97.0092 39.9969 114 CALH 151227 865.268 -261.635 97.0102 39.9976 115 CLTN 151631 749.287 -365.634 97.0088 39.9967 116 HERN 153798 859.01 -352.458 97.0101 39.9968 117 MADI 155067 854.116 -265.064 97.0101 39.9976 118 PADU 156110 753.185 -293.024 97.0089 39.9974American Electric Power A-9 Trinity Consultants BART Modeling Protocol 083701.0057 Number Station Acronym Station ID LCC East (km) LCC North (km) Long Lat 119 PCTN 156580 834.464 -280.496 97.0099 39.9975 120 ALEX 160103 433.824 -959.253 97.0051 39.9913 121 BATN 160549 562.794 -1032.4 97.0066 39.9907 122 CALH 161411 436.113 -817.451 97.0052 39.9926 123 CLNT 161899 578.969 -999.986 97.0068 39.9910 124 JENA 164696 455.225 -912.366 97.0054 39.9918 125 LACM 165078 364.784 -1089.92 97.0043 39.9901 126 MIND 166244 346.708 -812.651 97.0041 39.9927 127 MONR 166314 463.225 -814.905 97.0055 39.9926 128 NATC 166582 369.451 -905.316 97.0044 39.9918 129 SHRE 168440 299.526 -831.143 97.0035 39.9925 130 WINN 169803 408.309 -884.596 97.0048 39.9920 131 BROK 221094 621.827 -914.236 97.0073 39.9917 132 CONE 221900 737.007 -823.513 97.0087 39.9926 133 JAKS 224472 650.361 -826.097 97.0077 39.9925 134 LEAK 224966 805.886 -943.78 97.0095 39.9915 135 MERI 225776 774.942 -814.558 97.0092 39.9926 136 SARD 227815 658.33 -593.661 97.0078 39.9946 137 SAUC 227840 763.399 -1005.93 97.0090 39.9909 138 TUPE 229003 753.571 -600.03 97.0089 39.9946 139 ADVA 230022 657.892 -298.102 97.0078 39.9973 140 ALEY 230088 505.348 -305.864 97.0060 39.9972 141 BOLI 230789 331.651 -291.689 97.0039 39.9974 142 CASV 231383 310.855 -392.187 97.0037 39.9965 143 CLER 231674 575.868 -302.209 97.0068 39.9973 144 CLTT 231711 307.465 -190.83 97.0036 39.9983 145 COLU 231791 421.287 -155.672 97.0050 39.9986 146 DREX 232331 228.23 -185.776 97.0027 39.9983 147 ELM 232568 257.758 -159.419 97.0030 39.9986 148 FULT 233079 470.408 -150.668 97.0056 39.9986 149 HOME 233999 619.93 -415.469 97.0073 39.9962 150 JEFF 234271 424.774 -172.095 97.0050 39.9984 151 JOPL 234315 238.245 -318.262 97.0028 39.9971 152 LEBA 234825 402.239 -276.263 97.0048 39.9975 153 LICK 234919 480.849 -280.775 97.0057 39.9975 154 LOCK 235027 302.048 -300.612 97.0036 39.9973 155 MALD 235207 659.982 -377.876 97.0078 39.9966 156 MARS 235298 332.062 -94.655 97.0039 39.9991 157 MAFD 235307 391.968 -300.033 97.0046 39.9973 158 MCES 235415 471.737 -143.942 97.0056 39.9987American Electric Power A-10 Trinity Consultants BART Modeling Protocol 083701.0057 Number Station Acronym Station ID LCC East (km) LCC North (km) Long Lat 159 MILL 235594 309.516 -311.398 97.0037 39.9972 160 MTGV 235834 426.937 -310.43 97.0050 39.9972 161 NVAD 235987 243.915 -272.715 97.0029 39.9975 162 OZRK 236460 349.133 -390.626 97.0041 39.9965 163 PDTD 236777 334.055 -265.018 97.0039 39.9976 164 POTO 236826 572.215 -251.455 97.0068 39.9977 165 ROLL 237263 484.503 -253.958 97.0057 39.9977 166 ROSE 237300 500.59 -175.393 97.0059 39.9984 167 SALE 237506 498.94 -274.122 97.0059 39.9975 168 SENE 237656 233.959 -383.703 97.0028 39.9965 169 SPRC 237967 238.112 -373.616 97.0028 39.9966 170 SPVL 237976 332.385 -309.374 97.0039 39.9972 171 STEE 238043 503.354 - 205.135 97.0059 39.9981 172 STOK 238082 310.911 -279.239 97.0037 39.9975 173 SWSP 238223 324.053 -150.325 97.0038 39.9986 174 TRKD 238252 340.418 -395.428 97.0040 39.9964 175 TRUM 238466 326.883 -197.796 97.0039 39.9982 176 UNIT 238524 238.567 -154.494 97.0028 39.9986 177 VIBU 238609 519.633 -267.258 97.0061 39.9976 178 VIEN 238620 470.383 -193.872 97.0056 39.9983 179 WAPP 238700 606.68 -358.746 97.0072 39.9968 180 WASG 238746 556.425 -164.993 97.0066 39.9985 181 WEST 238880 489.373 -377.809 97.0058 39.9966 182 ALBU 290234 -869.46 -501.713 96.9897 39.9955 183 ARTE 290600 -689.529 -773.897 96.9919 39.9930 184 AUGU 290640 -973.07 -598.391 96.9885 39.9946 185 CARL 291469 -680.335 -811.474 96.9920 39.9927 186 CARR 291515 -819.836 -665.132 96.9903 39.9940 187 CLAY 291887 -547.124 -374.102 96.9935 39.9966 188 CLOV 291939 -566.973 -599.296 96.9933 39.9946 189 CUBA 292241 -890.304 -392.495 96.9895 39.9965 190 CUBE 292250 -951.142 -489.293 96.9888 39.9956 191 DEMI 292436 -1007.99 -799.087 96.9881 39.9928 192 DURA 292665 -767.148 -577.618 96.9909 39.9948 193 EANT 292700 -735.089 -366.94 96.9913 39.9967 194 LAVG 294862 -738.245 -461.163 96.9913 39.9958 195 PROG 297094 -811.39 -578.971 96.9904 39.9948 196 RAMO 297254 -733.737 -615.175 96.9913 39.9944 197 ROSW 297610 -698.544 -712.921 96.9918 39.9936 198 ROY 297638 -644.735 -422.422 96.9924 39.9962American Electric Power A-11 Trinity Consultants BART Modeling Protocol 083701.0057 Number Station Acronym Station ID LCC East (km) LCC North (km) Long Lat 199 SANT 298085 -807.375 -445.708 96.9905 39.9960 200 SPRI 298501 -676.681 -374.272 96.9920 39.9966 201 STAY 298518 -810.491 -495.501 96.9904 39.9955 202 TNMN 299031 -912.488 -413.425 96.9892 39.9963 203 TUCU 299156 -604.359 -508.834 96.9929 39.9954 204 WAST 299569 -638.605 -820.288 96.9925 39.9926 205 WISD 299686 -856.967 -756.366 96.9899 39.9932 206 AIRS 340179 -212.731 -597.062 96.9975 39.9946 207 ARDM 340292 -12.242 -645.633 96.9999 39.9942 208 BENG 340670 174.368 -568.011 97.0021 39.9949 209 CANE 341437 71.857 -637.935 97.0009 39.9942 210 CHRT 341544 203.233 -632.067 97.0024 39.9943 211 CHAN 341684 10.494 -475.655 97.0001 39.9957 212 CHIK 341750 -83.175 -547.26 96.9990 39.9951 213 CCTY 342334 -165 -479.536 96.9981 39.9957 214 DUNC 342654 -88.38 -610.04 96.9990 39.9945 215 ELKC 342849 -216.769 -507.879 96.9974 39.9954 216 FORT 343281 -129.964 -541.113 96.9985 39.9951 217 GEAR 343497 -118.53 -482.187 96.9986 39.9956 218 HENN 344052 -31.964 -601.206 96.9996 39.9946 219 HOBA 344202 -189.062 -547.36 96.9978 39.9951 220 KING 344865 24.538 -664.103 97.0003 39.9940 221 LKEU 344975 141.702 -520.6 97.0017 39.9953 222 LEHI 345108 71.634 -612.05 97.0009 39.9945 223 MACI 345463 -254.63 -466.154 96.9970 39.9958 224 MALL 345589 -55.127 -425.644 96.9994 39.9962 225 MAYF 345648 -258.49 -512.583 96.9970 39.9954 226 MUSK 346130 149.764 -466.905 97.0018 39.9958 227 NOWA 346485 121.551 -364.038 97.0014 39.9967 228 OKAR 346620 -88.424 -473.338 96.9990 39.9957 229 OKEM 346638 63.188 -504.958 97.0008 39.9954 230 OKLA 346661 -54.198 -510.562 96.9994 39.9954 231 PAOL 346859 -23.665 -573.142 96.9997 39.9948 232 PAWH 346935 57.704 -369.174 97.0007 39.9967 233 PAWN 346944 16.927 -398.139 97.0002 39.9964 234 PONC 347196 -8.871 -363.068 96.9999 39.9967 235 PRYO 347309 150.763 -407.824 97.0018 39.9963 236 SHAT 348101 -256.963 -407.368 96.9970 39.9963 237 STIG 348497 171.02 -523.736 97.0020 39.9953 238 TULS 348992 99.361 -419.873 97.0012 39.9962American Electric Power A-12 Trinity Consultants BART Modeling Protocol 083701.0057 Number Station Acronym Station ID LCC East (km) LCC North (km) Long Lat 239 TUSK 349023 156.629 -592.395 97.0019 39.9946 240 WMWR 349629 -156.42 -581.308 96.9982 39.9947 241 WOLF 349748 30.212 -538.388 97.0004 39.9951 242 BOLI 400876 760.886 -500.256 97.0090 39.9955 243 BROW 401150 710.048 -480.346 97.0084 39.9957 244 CETR 401587 877.35 -456.294 97.0104 39.9959 245 DICS 402489 872.14 -391.132 97.0103 39.9965 246 DYER 402680 695.792 -409.316 97.0082 39.9963 247 GRNF 403697 760.795 -395.69 97.0090 39.9964 248 JSNN 404561 765.932 -476.414 97.0090 39.9957 249 LWER 405089 885.291 -487.757 97.0105 39.9956 250 LEXI 405210 790.003 -471.897 97.0093 39.9957 251 MASO 405720 694.163 -496.166 97.0082 39.9955 252 MEMP 405954 671.8 -522.492 97.0079 39.9953 253 MWFO 405956 681.292 -516.15 97.0080 39.9953 254 MUNF 406358 678.65 -495.241 97.0080 39.9955 255 SAMB 408065 697.077 -382.536 97.0082 39.9965 256 SAVA 408108 800.788 -498.682 97.0095 39.9955 257 UNCY 409219 711.595 -384.605 97.0084 39.9965 258 ABIL 410016 -251.753 -836.027 96.9970 39.9924 259 AMAR 410211 -425.302 -517.839 96.9950 39.9953 260 AUST 410428 -67.587 -1075.97 96.9992 39.9903 261 BRWN 411136 -43.861 -1571.39 96.9995 39.9858 262 COST 411889 60.611 -1044.72 97.0007 39.9906 263 COCR 412015 -51.832 -1360.01 96.9994 39.9877 264 CROS 412131 -204.599 -868.469 96.9976 39.9922 265 DFWT 412242 -1.867 -786.341 97.0000 39.9929 266 EAST 412715 -171.024 -840.253 96.9980 39.9924 267 ELPA 412797 -886.583 -860.763 96.9895 39.9922 268 HICO 414137 -97.323 -888.181 96.9989 39.9920 269 HUST 414300 157.976 -1108.38 97.0019 39.9900 270 KRES 414880 -434.746 -611.717 96.9949 39.9945 271 LKCK 414975 99.734 -693.521 97.0012 39.9937 272 LNGV 415348 220.962 -844.674 97.0026 39.9924 273 LUFK 415424 214.652 -969.69 97.0025 39.9912 274 MATH 415661 -86.438 -1330.47 96.9990 39.9880 275 MIDR 415890 -489.385 -878.123 96.9942 39.9921 276 MTLK 416104 -672.024 -1008.98 96.9921 39.9909 277 NACO 416177 223.065 -925.966 97.0026 39.9916 278 NAVA 416210 28.358 -892.028 97.0003 39.9919American Electric Power A-13 Trinity Consultants BART Modeling Protocol 083701.0057 Number Station Acronym Station ID LCC East (km) LCC North (km) Long Lat 279 NEWB 416270 239.111 -721.818 97.0028 39.9935 280 BPAT 417174 288.962 -1110.65 97.0034 39.9900 281 RANK 417431 -472.048 -959.488 96.9944 39.9913 282 SAAG 417943 -333.338 -952.54 96.9961 39.9914 283 SAAT 417945 -143.322 -1161.27 96.9983 39.9895 284 SHEF 418252 -463.759 -1019.19 96.9945 39.9908 285 STEP 418623 -112.988 -857.918 96.9987 39.9922 286 STER 418630 -376.683 -897.195 96.9956 39.9919 287 VALE 419270 -720.749 -1015.17 96.9915 39.9908 288 VICT 419364 6.882 -1236.45 97.0001 39.9888 289 WACO 419419 -21.834 -928.823 96.9997 39.9916 290 WATR 419499 -353.767 -916.015 96.9958 39.9917 291 WHEE 419665 57.489 -1008.99 97.0007 39.9909 292 WPDM 419916 262.792 -737.786 97.0031 39.9933 293 DORA 232302 433.256 -378.797 97.0051 39.9966 294 DIXN 112353 756.057 -267.193 97.0089 39.9976 295 DAUP 12172 864.408 -1050.41 97.0102 39.9905 296 FREV 123104 847.031 -117.884 97.0100 39.9989 297 WARR 18673 890.447 -788.703 97.0105 39.9929 298 MDTN 235562 493.264 -87.222 97.0058 39.9992American Electric Power A-14 Trinity Consultants BART Modeling Protocol 083701.0057 T ABLE A-4. L IST OF O VER W ATER METEOROLOGICAL S TATIONS

Number Station ID Input file Name LCC East (km) LCC North (km) Long Lat 1 42001 42001 746.874 -1541.35 89.67 25.9 2 42002 42002 265.486 -1650.616 94.42 25.19 3 42007 42007 795.674 -1063.667 88.77 30.09 4 42019 42019 163.178 -1342.917 95.36 27.91 5 42020 42020 30.212 -1453.738 96.7 26.94 6 42035 42035 254.465 -1193.539 94.41 29.25 7 42040 42040 859.497 -1160.066 88.21 29.18 8 BURL1 42045 743.116 -1202.117 89.43 28.9 9 DPIA1 42046 861.385 -1039.466 88.07 30.25 10 GDIL1 42047 687.984 -1164.910 89.96 29.27 11 PTAT2 42048 -4.980 -1353.398 97.05 27.83 12 SRST2 42049 288.163 -1175.682 94.05 29.67