Record Display for the EPA National Library Catalog

RECORD NUMBER: 24 OF 323

OLS Field Name OLS Field Data
Main Title Assimilation of Satellite Data in Regional Air Quality Models.
Author McNider, R. T. ; Norris, W. B. ; Casey, D. ; Pleim, J. E. ; Roselle, S. J. ;
CORP Author Environmental Protection Agency, Research Triangle Park, NC. National Exposure Research Lab. ;Alabama Univ. in Huntsville. Earth System Science Lab. ;National Aeronautics and Space Administration, Huntsville, AL. George C. Marshall Space Flight Center.
Publisher 1997
Year Published 1997
Report Number EPA/600/A-97/058;
Stock Number PB97-195499
Additional Subjects Satellite observation ; Cloud cover ; Spatial distribution ; Photochemistry ; Clouds(Meteorology) ; Radiative heat transfer ; Soil moisture ; Moisture content ; Surface temperature ; Air pollution ; Atmospheric models ; Regional analysis ; Remote sensing ; Mathematical models ;
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB97-195499 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 12/22/1997
Collation 12p
Abstract
In terms of important uncertainty in regional-scale air-pollution models, probably no other aspect ranks any higher than the current ability to specify clouds and soil moisture on the regional scale. Because clouds in models are highly parameterized, the ability of models to predict the correct spatial and radiative characteristics is highly suspect and subject to large error. The poor representation of cloud fields from point measurements at National Weather Services stations and the almost total absence of surface moisture availability observations has made assimilation of these variables difficult to impossible. Yet, the correct inclusion of clouds and surface moisture are of first-order importance in regional-scale photochemistry.