||Linking ERA Model with the Community Multiscale Air Quality (CMAQ) Modeling System: Ozone Boundary Conditions.
Lee, P. C. ;
Pleim, J. E. ;
Mathur, R. ;
MCQueen, J. T. ;
Tsidulko, M. ;
||Environmental Protection Agency, Research Triangle Park, NC. National Exposure Research Lab. ;National Oceanic and Atmospheric Administration, Washington, DC.
Air quality ;
Air pollution monitoring ;
Air pollution sources ;
Boundary conditions ;
Environmental transport ;
Atmospheric chemistry ;
Meteorological data ;
Mathematical models ;
Computerized simulation ;
Community Multiscale Air Quality(CMAQ) ;
||Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy.
||one CD-ROM contains 8 page document
||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.
||This document is color dependent and/or in landscape layout. It is currently available on CD-ROM and paper only. CD-ROM contains an 8 page document. Prepared in cooperation with National Oceanic and Atmospheric Administration, Washington, DC.
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