Record Display for the EPA National Library Catalog

RECORD NUMBER: 160 OF 887

OLS Field Name OLS Field Data
Main Title Description of the Models-3 Community Multiscale Air Quality (CMAQ) Modeling System.
Author Byun, D. ; Young, J. ; Gipson, G. ; Godowitch, J. ; Binkowski, F. ;
CORP Author Environmental Protection Agency, Research Triangle Park, NC. National Exposure Research Lab. ;National Oceanic and Atmospheric Administration, Research Triangle Park, NC. Atmospheric Sciences Modeling Div. ;MCNC, Research Triangle Park, NC. North Carolina Supercomputing Center.
Publisher 1997
Year Published 1997
Report Number EPA/600/A-97/076;
Stock Number PB98-116528
Additional Subjects Air pollution dispersion ; Mathematical models ; Atmospheric diffusion ; Diffusion modeling ; Plumes ; Emissions ; Aerosols ; Air pollutants ; Atmospheric chemistry ; Photochemistry ; Environmental transport ; Euler equations of motion ; Meteorological data ; Spatial resolution ; Algorithms ; Computerized simulation ; CMAQ(Community Multiscale Air Quality) ; Community Multiscale Air Quality Model ; Models-3 modeling system
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB98-116528 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 03/07/1998
Collation 12p
Abstract
The key science characteristics and science process modules of the Models-3/CMAQ are discussed with respect to the terms in the governing atmospheric conservation equation. The authors also demonstrated the modular functionality of the CMAQ science process codes by comparing results with different numerical algorithms for a regional scale air quality simulation. The Models-3/CMAQ system achieves multipollutant and multiscale capability by combining several distinct modeling techniques. First, the authors recast the governing atmospheric diffusion equation in a generalized coordinate system to accommodate many different meteorological coordinates and assumptions on atmosphere. Second, CMAQ uses a nesting capability to refine grid resolutions to apply to the small-scale air quality problem. Third, a Plume-in-Grid module allows the computation of subgrid scale plume-scale dispersion and reactions. Finally, the multi-pollutant capacity is provided by a generalized mechanism chemistry reader, generalized mechanism chemistry reader, generalized chemistry solvers, linked aqueous reaction processor, and aerosol modules.