Main Title |
Wind Field Development for the EPA Regional Oxidant Model. |
Author |
Coats, C. J. ;
Schere, K. L. ;
|
CORP Author |
Environmental Protection Agency, Research Triangle Park, NC. Atmospheric Research and Exposure Assessment Lab. ;Computer Sciences Corp., Research Triangle Park, NC. ;National Oceanic and Atmospheric Administration, Rockville, MD. |
Publisher |
1991 |
Year Published |
1991 |
Report Number |
EPA/600/D-91/084; |
Stock Number |
PB91-191213 |
Additional Subjects |
Ozone ;
Pollution transport ;
Wind profiles ;
Mathematical models ;
Wind velocity ;
Wind direction ;
Simulation ;
Meteorological data ;
Regional Oxidant Model ;
Northeastern Region(United States)
|
Holdings |
Library |
Call Number |
Additional Info |
Location |
Last Modified |
Checkout Status |
NTIS |
PB91-191213 |
Some EPA libraries have a fiche copy filed under the call number shown. |
|
07/26/2022 |
|
Collation |
18p |
Abstract |
Regional scale (approximately 1000 km) air quality simulation models require hourly inputs of u and v wind components for each vertical layer of the model and for each grid cell in the horizontal. The standard North American meteorological observation network is used to derive the wind field inputs for the Regional Oxidant Model (ROM) and other regional models. While a fairly dense surface network with hourly observations exists, upper air data are obtained only twice per day at monitoring sites typically separated by 300-500 km distances. Using these data to derive the more spatially and temporally resolved gridded wind fields needed by the ROM introduces uncertainties and errors into the model. The authors present a method of developing gridded wind fields for the ROM that accounts for these non-deterministic features. The method produces a family of potential gridded wind fields allowing for the stochastic nature of the interpolation process. Examples of the derived wind fields are given for the Northeast U.S. Potential differences between the wind fields, in terms of their effects on air quality modeling, are inferred from following multi-day flow trajectories using various members of the wind field family. |