Record Display for the EPA National Library Catalog

RECORD NUMBER: 846 OF 871

OLS Field Name OLS Field Data
Main Title Visualization of Remotely Sensed Data with 3-D Meteorological Modeling Results.
Author Zhang, Y. C. Q. ; Wang, J. ; LeDuc, S. ; Pleim, J. ;
CORP Author Lockheed Martin, Research Triangle Park, NC. ;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-68-W2-0025; EPA/600/A-97/018;
Stock Number PB97-192926
Additional Subjects Air pollution monitoring ; Scientific visualization ; Meterological data ; Three-dimensional models ; Mesoscale meteorology ; Couds(Meteorology) ; Water vapor ; Wind(Meteorology) ; Atmospheric chemistry ; Remote sensing ; Satellite imagery ; Computerized simulation ; Mathematical models ; MODELS-3 modeling system
Internet Access
Description Access URL
https://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=P100UDHT.PDF
Holdings
Library Call Number Additional Info Location Last
Modified
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Status
NTIS  PB97-192926 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
The EPA Models-3 system, a third-generation air quality modeling system, is a framework which accommodates new science modules and supports their evaluation. One component of the Models-3 system is the mesoscale meteorological model (MM5) which simulates clouds, water-vapor, wind and air deposition. The authors' purpose in this paper is to investigate how they can determine the quality of simulations from MM5 using available software tools to display both simulated and measured data. This capability will help environmental scientists to modify meteorological simulations in the MM5. The authors compare the modeling data using two software tools, the McIDAS and Vis5D. Output from two variations of the MM5 are visualized along with remotely sensed data imagery from a Geostationary Operational Environmental Satellite (GOES).