EPA/600/A-97/074
Processing Emission Inventory Data in the ModeIs-3 Integrated
Distributed Modeling System: A Tutorial Example
William G. Benjey*
Atmospheric Sciences Modeling Division
Air Resources Laboratory
National Oceanic and Atmospheric Administration
Research Triangle Park, North Carolina 27711
Nick M. Moghari, Joseph W. Susick, and David E. Tivel
Science Applications International Corporation
EPA Systems Development Center
200 North Glebe Road, Suite 300
Arlington, Virginia 22203
ABSTRACT
This paper presents a brief tutorial example and describes the benefits of emission inventory
data processing for air quality modeling using the windows of the Study Planner of the Models-3
environmental modeling system. The functions of the key windows and the procedure for using
them are illustrated using a 21 column by 21 row spatial grid with 12 km cell resolution, centered on
Birmingham, Alabama. The Study Planner makes manipulation of input data and processing
programs relatively simple and flexible. Emission inventory processing that had often been
accomplished step-by-step with large amounts of intensive labor, including quality control, spatial
allocation (gridding), temporal allocation, and chemical speciation, has now been automated. It is
not necessary to change processor coding for different study areas, spatial resolutions, and time, to
remember the locations of data files and processors in the system, and to use command line
instructions to initiate and control the processing system for each step.
INTRODUCTION
The processing of air pollutant emission inventory data for use in urban and regional scale air
quality modeling is often complicated and time-consuming. For each study area, processing typically
requires conversion of different inventory formats to a consistent format, painstaking but time-limited
quality control of the emission data, and spatial, temporal, and chemical species allocation of the
data. These steps are often accomplished independently, which increases the likelihood of data errors
and inconsistencies between steps. The Models-3 Emission Processing and Projection System
(MEPPS) integrates and substantially automates emission data processing and quality control,
reducing the chances for undetected errors. Models-3 is a distributed environmental modeling
framework, initially focused on air quality modeling.1 It is designed to integrate modular modeling
components (including MEPPS), automatically track files with metadata, simplify data processing and
model setup and execution, enable the use of consistent data formats between system components,
and provide a suite of visualization analysis tools. Models-3 runs on Sun® UNIX-based workstations,
and will be ported to other UNIX and Windows NT® based machines in the future. The emission
projection capability runs on both UNIX-based workstations using Soft Windows®, and Windows
NT®. The purpose of this paper is to illustrate the operation and benefits of MEPPS processing of a
base year inventory through a tutorial example. The operation is described in sequence. However,
description of all specific steps and options is beyond the space limitations of this paper. More
detailed information is available in the draft Models-3 User Manual and Tutorial.2
"On assignment to the National Exposure Research Laboratory, U.S. Environmental Protection Agency
-------
Benefits- of the Models-3 Emission Processor
Compared with previous practices, processing emission inventory data with Models-3 offers
several significant benefits. These reduce overall processing and personnel time. The following
principal benefits are illustrated by the discussion of the processing system in this paper.
• The system, including the emission processor, is relatively easy to use and flexible. Clear
menu windows with pick lists, help buttons, and selectable icons are used for navigation,
modification and option selection, and for execution of processing. Changes in options and
files do not require receding or command line instructions.
• Repetitive processing is more efficient. Once a processing sequence is established,
processing may proceed with little human supervision; and minor changes between processing
runs are made simply through the windows.
• Management of emission files and programs within the system is simplified. The Models-3
File Manager tracks all registered files through associated metadata, and newly created files
are automatically named and tracked by an internal convention. Consequently, file access is
easy and old files are not inadvertently overwritten.
• Processed emission inventory data are directly available in a common format and in common
locations for use in air quality modeling or other applications in the Models-3 system.
Reformatting or maintaining duplicate data files are not necessary within the system.
Emission Processor Structure
Figure 1 illustrates the key role of MEPPS as a module within the Models-3, along with the
meteorology data generated by Mesoscale Model 5 (MM5) (through the Meteorology Chemistry
Input Processor or MCIP) and the Community Multiscale Air Quality (CMAQ) model. The
meteorology data are input for both MEPPS and CMAQ, and MEPPS provides processed emission
data to CMAQ. Data are passed between modules in NetCDF format using the Models-3
Input/Output Applications Program Interface (I/O API).3 The MEPPS is a SAS*-based system
which incorporates the ARC/Info® geographic information system (GIS) to accomplish spatial
allocation of either discrete point source emission data or data derived using surrogate spatial
information (area, mobile, and biogenic sources). The core of MEPPS is a greatly modified version
of the Geocoded Emission Modeling and Projection (GEMAP) system4 (now know as the Emission
Modeling System 95 (EMS-95).
The major internal components of MEPPS are shown in Figure 2. The input processor
(INPRO) inputs and quality controls emission inventory and meteorology data, and reformats and
subsets the inventory data to the spatial domain specified by the user. The main processor (EMPRO)
is the portion derived from GEMAP. The EMPRO allocates point, area, mobile, and biogenic
emission data spatially (by grid cell) and temporally (by time step) according to user specifications.
It also chemically speciates the emission data using source-category specific species split factors
associated with either the Regional Acid Deposition Model (RADM) 2.0,5 Carbon Bond 4 (CB4)
chemical mechanisms,6 or a generic speciation mechanism modifiable by the user. Mobile and
biogenic source emissions for the period of interest are estimated within EMPRO which runs the
Mobile 5a7 and BEIS-28 models, respectively. With user-defined criteria, OUTPRO merges specified
EMPRO-processed point, area, mobile, biogenic source files into a file of surface emission data, and
a file of elevated point source stack emission data. These files are converted to the NetCDF I/O API
format and provided as modeling input to CMAQ. The OUTPRO also provides standard and user-
defined summary and quality control output files.
Basic Functions
Figure 3 shows the main window of the Models-3 system. Each icon accesses a high-level
function of the system. The key functions to process emission inventory data using the Models-3
-------
windows are in the Science Manager, Study Planner, and Strategy Manager. The MEPPS may also
be accessed through the Tool Manager using SAS® screens for detailed interactive use of the
processors, editing of input and lookup files, access to intermediate files, and selection of specific
non-standard options. However, many of the advantages of using Models-3 for emission processing
are associated with the use of Study Planner windows, which is the approach addressed here. Study
Planner is perhaps the key feature of Models-3. It allows the use of selectable icons on an
interactive screen to define and link component models, properties, data files, and tools; and to
execute defined actions such as estimating biogenic emissions. A study is any environmental
analysis activity or sequence of activities defined by the user in Study Planner. A study may consist
of several plans. A plan is a smaller sequence of activities that may be a subset of a study. Typical
studies and plans (described later) have been established under tutorial study "tutebase" in the Study
Planner for the main components of emission data processing (point, area, mobile, biogenic, and
output processing). These plans call scripts, which each link a series of processing programs.
The existing plans may be modified (annotated) to link to input and output data of interest and
appropriate environment variables, which is usually sufficient to process emission data. This
approach avoids the need to modify or separately run each program for each emission study.
Science Manager establishes new, and provides access to existing, user-defined coordinate
systems and spatial grids, vertical coordinates, and (soon) definition of specific dates of interest
(cases). Strategy Manager accesses the Models-3 Emission Projection Processing System (MEPRO).
The MEPRO projects base year emission data using source-category-specific economic growth
factors and then sends (either interactively or automatically by a defined plan) the projected
inventory to EMPRO for modeling pre-processing.
EMISSION PROCESSING USING STUDY PLANS
The example used in the figures in the following sections was prepared as a tutorial for
Models-3. The spatial extent includes most of Alabama and part of Mississippi, using 12 km grid
cell spatial resolution with 21 cell rows and 21 cell columns (Figure 4). The case (date) chosen is
July 27, 1988. The processing sequence followed begins with annual emission inventory data,
spatially allocates the data from a point source or area (usually county-level) basis, temporally
allocates emission data to time steps needed for air quality modeling, chemically speciates emission
data to the species grouping needed for modeling, and outputs files in NetCDF I/O API format.
Accessing Input and Output Data
Input data files (emission inventories, meteorology data) needed within Models-3 are
registered by the system using user-supplied metadata (descriptive data about the files) through the
File Manager. Once registered, the data files may be easily located and referenced by name or key
word searches without typing in their specific location from memory. Input files for emission
processing are specified when defining data links in a study plan in the Study Planner windows.
Study output files are automatically named and registered by the Models-3 system when created.
Input files are generally located in the directory structure "$M3_DATA/datasets/nostudies", and
output files are automatically named and registered in "$MODELS3/datasets/studies/srw£/y_acron>'m/
plan_acronym/run_number/program_acroynmsllogical_name/userjd-unique_number", where
italicized names are variable by study. $M3_DATA and $MODELS3 are environment variables
defined by the system administrator to represent file locations on a computer system.
Description of Window Functions
The following paragraphs describe access to and contents of the principal Study Planner
windows, from general to specific, which are used to process emission inventory data using existing
emission processing study plans. The user may also use the windows to generate new study plans
using new or existing components. Principal windows include generic menu and generic tool bar
-------
ic.ons at the top. The icons, from left to right (see Figure 5), represent new, open existing, save,
print, undo, detail (of existing selection, help, and exit. Space limitations preclude showing all
windows.
The Study Planner icon is selected using a mouse from the main Models-3 window.
The Study Planner (Figure 5) provides the name and brief description of studies from which
to select. If the study of interest is not listed, the Find Study icon (a file folder in the tool
bar at the top of the screen) is selected which can search by key word. If a new study is
needed, the white page icon (new) is selected to access a blank series of study and plan
screens to use in defining the study. For this example, the existing study "tutebase" is
chosen and you are returned to the Study Planner window.
In the Study Planner window, the name of the study of interest is selected. The study
"tutebase" contains a series of emission processing plans which may be modified and reused.
It is highlighted and a "S" (selected) appears in the left margin.
The "detail" button (eye and lens icon) is selected next. A window containing four
overlapping tabbed windows appears. The Study Properties window appears on top (Figure
6) listing the study name, acronym, description, and the environmental variables related to the
study. These properties are tracked automatically once entered.
The "Plans" tab invokes a window listing the plans included within the specified study
(Figure 7). Each plan is an ensemble of programs and datasets which may be executed from
the Study Planner. There are separate plans for processing point, area, mobile, and biogenic
source emission data through chemical speciation, and a plan for merging and reporting
emission processing output data. The area source processing plan is highlighted.
The tab for the Environmental Parameter window (not shown) displays a list of the
environmental variables associated with the plan. These variables are automatically copied
from the study level, and may be edited, deleted, or inserted from the Environment Variable
window.
The Plan Layout tab is selected next. A window with selectable icons, including process
node icons (rectangles) and data dependency links (arrows) of the plan, appears (Figure 8).
The dependencies refer to the logical and physical file names and locations. The icons down
the left side are used to create or modify a plan. A plan may be defined, modified, and
executed from Plan Layout using these icons. It is not necessary to recode any of the
information once it exists in the system. A Legend icon on the lower right of the window
gives access to a window which specifies the meaning of the selectable icons and their color
coding. Buttons along the bottom of the window allow execution, termination, and
suspension of execution, and resetting of the screen. "VCR" (video cassette recorder) style
buttons allow navigation between plans associated with a study.
If the user selects a rectangular icon (node), a Node Properties window appears (Figure 9).
It displays environment variables for the node and commands and arguments associated with
the underlying programs invoked by the node. A program detail icon invokes a window
which shows the programs and environmental variables associated with the node. Because
there are many underlying programs in MEPPS used in emission data processing, the
programs have been linked by scripts and grouped corresponding to point, area, mobile, and
biogenic emission processing to reduce the complexity of the Plan Layout windows. Table 1
lists the existing emission processing scripts which are called from the process nodes. The
environmental variables may be selected and viewed or cleared, and new variables may be
inserted using the Insert window invoked by the View button. The command arguments
modify specific programs and may be used to vary the application of the program. For
example, the argument for the "extract.ar" program script used to extract inventory data for
area source processing may be varied to reference different inventories (e.g., 90, 95).
From the Plan Layout window, a link arrow is selected by double-clicking on it. A Link
-------
Properties window appears which lists the "from" and "to" processing data dependencies by
name and location in the Models-3 system. It is not necessary to examine file formats and
contents for consistency and quality at this stage. The quality control was performed when
data was imported to the system, and Models-3 provides an internal standard for data format.
An Insert button will invoke a window which allows entry of command arguments,
environmental variables, or input data files (Figure 10).
Processing Procedure
Processing of emission inventory data is accomplished by executing properly annotated study
plans from Plan Layout windows for point, area, mobile, and biogenic emissions. The example study
also includes a plan for reporting, merging and format conversion of emission output files in
OUTPRO. For each plan, the study case (time period) is defined by specifying environment
variables for the year and start and stop times. Case will be defined from Science Manager in the
public release expected in July, 1998. The sequence of processing in each plan is similar, as
illustrated by the order of the nodes.
The area source emission processing plan (Figure 8) and point source plan (Figure 11) both
extract data from an inventory (first node), load the data (second node), grid the data (third node),
calculate the emissions by county (fourth node), and speciate the emission data (fifth node).
Environment variables are used to specify the inventory, spatial grid to be used, and the speciation
split factor mechanism (specifics on the environment variables are in the user's manual).
The biogenic source emission plan (not shown) includes two nodes for calculating the
emissions and for speciating the data. In addition, biogenic and mobile source emission processing
require meteorological data processed by MCIP. Existing meteorology data files are presently
extracted in advance of plan execution by using the MEPPS INPRO interactively. The first public
release will include additional nodes in the standard biogenic and mobile source plans which extract
the meteorology data as part of plan execution.
The mobile source emission plan (Figure 12) includes nodes for inventory data extraction
(vehicle miles traveled data, or VMT), loading of data, gridding of data, computation of emissions by
county using Mobile 5a-generated emission factors, and speciation. Prior to plan execution, the user
must specify the geographic location of specific information for fuel use, Inspection and Maintenance
Programs, and fleet structure in a lookup file (mSa.mv) located with other lookup tables in the
common directory established for the study. Models-3 provides a template for the lookup file. A
mobile source paniculate emission model (PART 5)9 will be included in the initial public release.
New gaseous and paniculate mobile source models will be incorporated into MEPPS as soon as
they are available, possibly in late 1998 and 1999, respectively.
Processed emission data from the point, area, biogenic, and mobile plans must be merged and
placed in the NetCDF I/O API format before use in modeling. The output processing plan (Figure
13), contains a processing node ("define splits") which allows the use of environment variables to
define point source criteria for major elevated and major sources (Figure 14). The next processing
node creates a file of the selected large point source data for plume rise modeling, including stack
parameters and converts the file to NetCDF I/O API. The last node merges the user's choice of area,
biogenic, mobile, and minor (smaller) point source files into a single file containing total surface
emission data by grid cell, time step, and chemical species group; and performs the format
conversion. Merge choices are indicated by "yes" or "no" for inclusion in the node environment
variables (Figure 15). The circled dot in the plan is the defined destination of the processed files.
-------
Output Files
The MEPPS produces up to nine output files in NetCDF I/O API format, each with the suffix
".ioapi" (Figure 16). The output files are located at $EMS_RUN, along with the system log files
and error report files. $EMS_RUN is a environment variable defining the location of the MEPPS
output files. The log and error files contain detailed quality control information about the processing
and any problems. Only the NetCDF I/O API files are passed to $MODELS3/datasets/studies/
study_acrony
-------
DISCLAIMER
The information in this document has been funded wholly or in part by the United States
Environmental Protection Agency. It has been subjected to Agency review and approved for
publication. Mention of trade names or commercial products does not constitute endorsement or
recommendation for use.
REFERENCES
1. Novak, J.; Dennis, R.L.; Byun, D.W.; Pleim, J.E.; Galluppi, K.J.; Coats, C.J.; Chall, S.;
Vouk, M.A. EPA Third Generation Air Quality Modeling System, Volume 1: Concept;
U.S. Environmental Protection Agency, Research Triangle Park, NC, 1995; EPA
600/R95/082, 230 pp.
2. Science Applications International Corporation, EPA Systems Development Center,
"Models-3 Draft User Manual. Volume 9B"; SDC-0055-076-NS-6004, Prepared for United
States Environmental Protection Agency, Office of Research and Development, by Science
Applications International Corporation, Arlington, VA. 1997.
3. Coats, C.J., Jr. 1997. MCNC, Inc., Documentation for the Input/Output Applications
Programming Interface, electronic document available at: http://www.iceis.mcnc.org/
EDSS/ioapi/index.html.
4. Wilkinson, J.G.; Emigh, R.A.. "The Geocoded Emissions Modeling and Projections
System (GEMAP). Advanced Training Workshop"; Prepared for Environmental
Protection Agency, Office of Research and Development, by Alpine Geophysics, Boulder,
CO. 1994.
5. Walters, R.A.; Saeger, M.L. The 1985 NAPAP Emissions Inventory: Development of
Species Allocation Factors, Final Report; U.S. Environmental Protection Agency,
Research Triangle Park, NC, 1990; EPA-600/7-89-010f, 470 pp.
6. Gery, M.W.; Whitten, G.Z.; Killus, J.P.; Dodge, M.C. "A photochemical kinetics
mechanism for urban and regional scale computer models", J. of Geophys. Res. 1989, 94,
12295-12956.
7. Office of Mobile Sources. User Guide for Mobile 5; U. S. Environmental Protection
Agency, Washington, DC, 1994; EPA-AA-AQAB-94-01, 214 pp.
8. Geron, C.D.; Guenther, A.B.; Pierce, T.E. "An improved model for estimating emissions
of volatile organic compounds from forests in the eastern United States:, Jour, of Geophys.
Res. 1994, 99, 12772-12792.
9. Office of Mobile Sources. Users Guide to Mobile 5 (includes Part 5 Mobile Source
Paniculate Emission Model); U.S. Environmental Protection Agency, Washington, DC,
1994 (revised 1995); EPA-AA-AQAB-94-01, 214pp.
10. Monroe, C.C.; Dean, T.A.; Barnard, W.R. Multiple Projection System (MPS): User's
Manual, Version 1.0; U. S. Environmental Protection Agency, Research Triangle Park,
NC, 1994; EPA-600/R94-085, 70 pp.
11. Young, T.; Economic Growth Analysis System: User's Guide, Version 3.0; U.S.
Environmental Protection Agency, Research Triangle Park, NC, 1994: EPA-600/R-95-
132b, 89 pp.
-------
Table 1. Established emission processing program scripts and functions.
Processor program script |
mepps_calc_ar
mepps_calc_bi
meps_calc_mv
mepps_eale_pt
mepps_create_stk
mepps_define_splits
mepps_extract_ar
mepps_extract_mv
mepps_extract_pt
mepps_exuser_ar
mepps_ex user_m v
mepps_exuser_pt
mepps_grid_ar
mepps_grid_mv
mepps_grid_pt
mepps_load_ar
mepps_load_mv
mepps_load_pt
mepps_spec_ar
mepps_spec_bi
mepps_spec_mv
mepps_spec_pt
| Function |
Calculate area source emissions
Calculate biogenic emissions
Calculate mobile source emissions
Calculate point source emissions
Create stack I/O API files
Define stack categories
Extract area source emissions data from inventory
Extract mobile source VMT data from inventory
Extract point source emission data from inventory
Extract area source emission data for user defined study area
Extract mobile source data for user defined study area
Extract point source emission data for user defined study area
Get area source spatial surrogates for gridding
Get mobile source spatial surrogates for gridding
Assign point source data to grid cells
Load area source foundation emission files
Load mobile source foundation files
Load point source foundation emission files
Speciate area source emission data
Speciate biogenic source emission data
Speciate mobile source emission data
Speciate point source emission data
-------
Figure 1. The position of MEPPS as a module in the Mode!s-3
system.
Meteorology
(MM5)
MCIP
Emission
Processor
(MEPPS)
Data Flow
Principal Non-framework Components
Models-3 Interfaces
Analysis Tools
System Instructions
Figure 2. Principal components of MEPPS.
INPRO
f
Seificn
I Meteorakgy Date
Point Sou reef
Area Sourca
JMobilrSouretDal
C INPRO
I Seffion
[ Sptciate
f Vimtlze
(" Modeh
(^ Grid
J
k
«/ RADM-1
*\ Gcrtenc
•4 Psmt j
{ Art. ]
H Biogenic I
*[ MdbSfc ]
f 1MPRO
OUTPRO
f EpfcodeFib 1
I Rtporti
[ SCC Rtports I
f Stuck Fifes
(xemporalia-tlFife
I SpeciBlcd Hka I
OOTPRO
MEPRO
I POT t Source* I
ArtaSourca
fVojcctfidi
EmaiMin Dats
Rfporto J
Graph!
[Invent
M£PRO
-------
Figure 3. Main Models-3 graphical user interface.
"l „ ,r ^ < C: Models-3 fmm«wortc<11003::Of
^3 Framework
An Air Quality
Management System
Vets wi 11 Retease 1 (Ju'i' OB. 1!'9
Figure 4. Tutorial grid centered on Birmingham, Alabama,
with 12 km grid cell resolution.
aiPRO CIS M»lo Mmii ;:r>!' .MEESyMJijor -^) v Cham y ) Joofe j } ;
-------
Figure 5. Study Planner window with selected study plan "tutebase".
Study Planner (11003;: 12026)
Study L'tt Sflew Options
Help
•J
_J
I ID! StudvName
Authorfs)
11
OOC> tutebase
Study Planner Summary Window
b«njey
1997&9/20 16:12:69
Figure 6. A Study Properties window for an area source emission processing plan
under the study planner.
Study Planner (11003:: 120S1) - OOOOOOOOT .000000001.000000027
Help
>
-------
Figure 7. Emission processing plans available in the plan window
under study "tutebase".
Study Planner (11OO3:: 12081) - OOOOOO001 .OOOOOOOO 1.00000002 7
'BASE-YEAR BIO PROCESSING
8*$6 MOBI16 80USCI PROCiSSMS
BABE YEAH OUTPUT PROCESSING
PCWr 80URC6 PfWCE8SINO HAN
Tin S-«d 8**f x Point Souret
F
Study Ptaniw Ottsii SWnfew
Figure 8. A Plan Layout window for an area source
emission processing plan.
Study Pta«»er(nO03::12O81)-OOOOOOOOl.OOOOOOOO1.0OOOOO027
•"
S«fy Plwtnx Dtull Mndoo'
-------
Figure 9. A Node Properties window accessed from a
Study Layout node.
.-w
!*xf» Nwne:
Node Properties
Name:
Jn»i)|iB_«irtiact_»r
M»rlD:
- fcmftmmriem va/i»tn«4 -
_J Variable Nwns
EMPHO_HOMe
EMS_OCM«N
E¥S_GRID
_ EMS.HOM6
I V«t*bf»Vaiu» •' j
An9d>b3Aifl»
From Logical Name:'
Front Physical Nsme:
To Physical Nams: ]
To Logical Name:
Link at:
' Environment Variable'
i- Navigation •
H
Cancel
-------
Figure 11. A Plan Layout window for point source emission
data processing.
Study Planner »IWi«J»«
Figure 12. A Plan Layout window for mobile source emission data
processing.
Study Planner (110045:12022)-000000001.000000001.000000027
'mn
^t^^r s^ri^ , "x" »K "' ^^Tf1. " ~ * •£:*"..' '»* 'i -? ^ >'
M»1«l««-iWlin« » , ' ' ' »«,»- /
StaOr Plow* 1
-------
Figure 13. A Plan Layout for output processing of emission
data.
Z) Study Planner OlOOSiil 2007) - OOOOOOQOl .OOOOOOO01,000000027
L
Figure 14. Use of environment variables to define stack
criteria for major point sources.
Node Properties
mm'. •,;'.-, |mepo»_dBf_sp«a
, ' '. '.'^"'i': ':&„•"" y^",-'-^ ;.
MAJCRJSOMD
*P»
.UNITS
CO>4x9 OR NOXM 6 OR S3JS OR VOC MEPS6 1
NW>86 ^ .
MKS ' '' '
BASE Oil
' j«2d
r* Cowifiaiid U^Arnumitiii* ———
^j DegcnpbMM %$tfj, *(
Define 6t
j~ 0*uu«t» —»~ ;^ "—
; pi B*g&«t &OMA Dunion. j«S
fi*y*
Seui
Cancel
-------
Figure 15. Use of environment variables in a Node Properties window
to merge output files.
-w
Node Properties
— Program".; ,.
Man»; " -
6xecuS?nFuHP»(|«^s.
ExacoSon Hwit'". "' t^w
mepps_createjZd
«.--HS
User ID:'1' ~, i'<'' "jn
Fa»»word j i >
tnvironmem va/iaoi
Bi
J Variable Nams" * { Variable Value
ABEA
BIO -
LOQflie * •
MOeili ,•
'YES
'YES
crealeSd fcsfita
YES
1 Description J |
include f
Include E
IQWPlls
Include ft
I ^t i
J" ~ ~"
i -
Insert j
f '
• Contrand Line Afsumert* "
Iv^- t > |
Argument N*me 1 ' 'Argument V/aJue
J Deacfiptio
s iwead-^v^ ^ . , ' ciMMfl
\ ,' •-•'' ^ - '"' '' C
' fieaet
Ones!
Figure 16. A typical listing of emission processing output files, including I/O API files, SAS® files
(ssdOl suffix), and log files.
-j
.i) . shelltool - /biii/csh
adayspec.ssdCM
areaenis.ssdoi
arsorprc.ssdoi
avptemis.ssdOl
bioenis.ssdOl
debug. bi
enission.bi
episodes.dat
episodes. ssdOl
error. bi
goppt.log
gopxsp.log
gridnvee.ssdOl
hremis.bi
log.bi
net.dat
netdata.ssdoi
invofenis.ssdoi
pol i d_speci es . dat
ptbase.dat
ptbase.ssdO!
ptenis.ssdoi
ptgroup.dat
ptgroup.ssdoi
ptpoltot.ssdOl
ptvars.ssdOl
qaplots.sctoi
report. bi
run_desc.1n
run_desc . met
run_desc.ssdOl
spardrop.ssdoi
sparee.ssdO!
sparlc.ssdoi
sparspec.ssdO!
spbidrop.ssdoi
spbiee.ssdoi
spbilc.ssdot
spbispec.ssdoi
spedes.dat
sperai s_naj g . i oapi
speni s_mepg , i oapi
speni s_mi ng . 1 oapi
spnvdrop.ssdOl
spnvee.ssdoi
spmvlc.ssdoi
spuvspec.ssdoi
spptdrop.ssdOl
spptee.dat i
spptee.ssdOl !
spptid.dat i
spptlc.ssdO! |
spptspec.ssdO! i
spxxee.dat
spxxee.logfile
spxxeeg.ioapi \
spxxid.dat
stacK_najor.ioapi *
stackjiepse . i oapi
stackjninor.ioapi 2
-------
.
1. REPORT NO.
EPA/600/A-97/074
TECHNICAL REPORT DATA
2.
4 . TITLE AND SUBTITLE
Processing Emission Inventory Data in the Models- 3
Integrated Distributed Modeling System: A Tutorial Example
7. AUTHOR (£)
William Benjey'
Nick M. Moghari, Joseph W. Susick,& David E. Tivel2
9. PERFORMING ORGANIZATION NAME AND ADDRESS
'National Exposure Research Laboratory
Office of Research and Development
U.S. Environmental Protection Agency
Research Triangle Park, NC 27711
2 Science Applications International Corporation
EPA Systems Development Center
200 North Glebe Road, Suite 300
Arlington, VA 22203
12. SPONSORING AGENCY NAME AND ADDRESS
'National Exposure Research Laboratory
Office of Research and Development
U.S. Environmental Protection Agency
Research Triangle Park, NC 27711
3
5. REPORT DATE
6. PERFORMING ORGANIZATION CODE
8. PERFORMING ORGANIZATION REPORT NO.
10. PROGRAM ELEMENT NO.
11. CONTRACT/GRANT NO.
13. TYPE OF REPORT AND PERIOD COVERED
14. SPONSORING AGENCY CODE
15. SUPPLEMENTARY NOTES
16. ABSTRACT
This paper presents a brief tutorial example and describes the benefits of emission inventory
data processing for air quality using the windows of the Study Planner of the Models-3
environmental modeling system. The functions of the key windows and the procedure for using
them are illustrated using a 21 column by 21 row spatial grid with 12 km cell resolution,
centered on Birmingham, Alabama. The Study Planner makes manipulation of input data and
processing programs relatively simple and flexible. Emission inventory processing that had
often been accomplished step-by-step with large amounts of intensive labor, including quality
control, spatial allocation (gridding) , temporal allocation, and chemical speciation, has now
been automated. It is not necessary to change processor coding for different study areas,
spatial resolutions, and time, to remember the locations of data files and processors in the
system, and to use command line instructions to initiate and control the processing for each
step.
17.
a. DESCRIPTORS
KEY WORDS AND DOCUMENT ANALYSIS
b. IDENTIFIERS/ OPEN ENDED TERMS C.COSATI
18. DISTRIBUTION STATEMENT
19. SECURITY CLASS (This Report! 21. NO. OF PAGES
20. SECURITY CLASS (This Page) 22. PRICE
------- |