||Testing Physics and Chemistry Sensitivities in the U.S. EPA Community Multiscale Air Quality (CMAQ) Modeling System.
Arnold, J. R. ;
Dennis, R. L. ;
||Environmental Protection Agency, Research Triangle Park, NC. National Exposure Research Lab. ;National Oceanic and Atmospheric Administration, Silver Spring, MD. Atmospheric Sciences Modeling Div.
Meterorological data ;
Experimental design ;
Sensitivity analysis ;
Schematic diagrams ;
Community Multiscale Air Quality Modeling System (CMAQ) ;
US Environmental Protection Agency (EPA) ;
Air quality models (AQMs) ;
Volatile organic compounds
||Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy.
||one CD-ROM contains 9 page document
Uncertainties in key elements of emissions and meteorology inputs to air quality models (AQMs) can range from 50 to 100% with some areas of emissions uncertainty even higher (Russell and Dennis, 2000). Uncertainties in the chemical mechanisms are thought to be smaller (Russell and Dennis, 2000) but can range to 30% or more as new techniques are applied to re-measure reaction rate constants and yields. Single perturbation sensitivity analyses have traditionally been used with AQMs to characterize effects of these uncertainties on peak predicted ozone concentration (O3). However, confidence in AQM applications depends on understanding the physical and chemical model dynamics in full emissions cases and in cases with proposed controls on oxides of nitrogen (NO+NO2=NOX) and/or volatile organic compounds (VOC).