Record Display for the EPA National Library Catalog

RECORD NUMBER: 10 OF 15

OLS Field Name OLS Field Data
Main Title PREMAQ: A New Pre-Processor to CMAQ for Air-Quality Forecasting.
Author Otte, T. L. ; Pouliot, G. ; Pleim, J. E. ;
CORP Author Environmental Protection Agency, Research Triangle Park, NC. National Exposure Research Lab. ;National Oceanic and Atmospheric Administration, Research Triangle Park, NC. Air Resources Lab.
Publisher 2004
Year Published 2004
Report Number EPA/600/A-04/097 ;NERL-RTP-AMD-04-067;
Stock Number PB2005-100834
Additional Subjects Processors ; Air quality ; Air pollution monitoring ; Modeling ; United States ; Meteorlogy ; Numerical guidance ; Forecasting ; National air quality forecasting systems ; Community Multiscale Air Quality(CMAQ) ; National Oceanic and Atmospheric Administration ; Enviromental Protection Agency ; Eta model ; PREMAQ
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB2005-100834 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 05/03/2005
Collation 6p
Abstract
On 6 May 2003, NOAA and the U.S. EPA signed a Memorandum of Understanding and a Memorandum of Agreement to expand their collaboration toward the development of a national air-quality forecasting (AQF) system. NOAA and the U.S. EPA are jointly developing various components of the AQF system, which will be run operationally at the NOAA's National Weather Service. Currently, the AQF system is based on the National Centers for Environmental Prediction's (NCEP's) Eta Model and the U.S. EPA's Community Multiscale Air Quality (CMAQ) Modeling System. The Eta/CMAQ AQF system is designed to provide twice daily numerical guidance for air-quality forecasts for the U.S. Initially, the capability includes surface-level O3 forecasts of hourly average concentrations as well as 8-h averages. Future expansion of the system will include PM2.5. The current forecast domain is the Northeast U.S. using a 12-km horizontal grid spacing on a Lambert Conformal map projection.