Record Display for the EPA National Library Catalog

RECORD NUMBER: 7 OF 9

OLS Field Name OLS Field Data
Main Title Science Features in Models-3 Community Multiscale Air Quality System.
Author Ching, J. ; Byun, D. ; Young, J. ; Binkowski, F. S. ; Pleim, J. ;
CORP Author National Oceanic and Atmospheric Administration, Research Triangle Park, NC. Atmospheric Sciences Modeling Div.;Environmental Protection Agency, Research Triangle Park, NC. National Exposure Research Lab.
Publisher 1997
Year Published 1997
Report Number EPA/600/A-97/078;
Stock Number PB98-116502
Additional Subjects Air pollution dispersion ; Mathematical models ; Atmospheric diffusion ; Diffusion modeling ; Air pollutants ; Atmospheric chemistry ; Plumes ; Emmissions ; Particulates ; Ozone ; Photolysis ; Photochemistry ; Environmental transport ; Meteorological data ; Grids(Coordinates) ; Computerized simulation ; Algorithms ; CMAQ(Community Multiscale Air Quality) ; Community Multiscale Air Quality Model ; Models-3 Modeling system
Internet Access
Description Access URL
https://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=P100OZA8.PDF
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB98-116502 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 07/03/1998
Collation 12p
Abstract
Models-3/CMAQ model is designed as a multi-pollutant Eularian grid regional to urban scale air quality and atmospheric deposition modeling system. The release version of Models-3/CMAQ will feature science options available to the user including the gas phase chemistry mechanisms, RADM2, and CB-IV a set of chemistry solvers, options for horizontal and vertical advection schemes, algorithms for fine and coarse particulate matter, photolysis rates and a plume-in-grid approach. These current science options are discussed in the context of the overall structure of Models-3/CMAQ model which includes an emission and meteorological preprocessors linked to the CMAQ by interface processors. Also discussed are the methods to determine and test the relative contribution of different atmospheric processes to the air quality predictions, important functions built into the CMAQ system.