Record Display for the EPA National Library Catalog

RECORD NUMBER: 31 OF 48

OLS Field Name OLS Field Data
Main Title Linking ERA Model with the Community Multiscale Air Quality (CMAQ) Modeling System: Ozone Boundary Conditions.
Author Lee, P. C. ; Pleim, J. E. ; Mathur, R. ; MCQueen, J. T. ; Tsidulko, M. ;
CORP Author Environmental Protection Agency, Research Triangle Park, NC. National Exposure Research Lab. ;National Oceanic and Atmospheric Administration, Washington, DC.
Publisher 2004
Year Published 2004
Report Number EPA/600/A-04/113 ;NERL-RTP-AMD-04-093;
Stock Number PB2005-101225
Additional Subjects Air quality ; Air pollution monitoring ; Ozone ; Air pollution sources ; Modeling ; Forecasting ; Boundary conditions ; Environmental transport ; Predictions ; Atmospheric chemistry ; Concentrations ; Meteorological data ; Mathematical models ; Computerized simulation ; Community Multiscale Air Quality(CMAQ) ; ETA model
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB2005-101225 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 05/03/2005
Collation one CD-ROM contains 8 page document
Abstract
Until the recent decade, air quality forecasts have been largely based on statistical modeling techniques. There have been significant improvements and innovations made to these statistically based air quality forecast models during past years. Forecast fidelity has improved considerably using these methods. Nonetheless, being non-physically-based models, the performance of these models can vary dramatically, both spatially and temporally. Recent strides in computational technology and the increasing speed of supercomputers, combined with scientific improvements in meteorological and air quality models has spurred the development of operational numerical air quality prediction models.