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Main Title Intercomparison of Two Regional Photochemical Models.
Author Mathur, R. ; Hanna, A. F. ; Schere, K. L. ; Dennis, R. L. ;
CORP Author MCNC, Research Triangle Park, NC. North Carolina Supercomputing Center. ;National Oceanic and Atmospheric Administration, Research Triangle Park, NC. Atmospheric Sciences Modeling Div.;Environmental Protection Agency, Research Triangle Park, NC. Atmospheric Research and Exposure Assessment Lab.
Publisher 1994
Year Published 1994
Report Number EPA-R816496; EPA/600/A-94/164;
Stock Number PB94-210549
Additional Subjects Atmospheric chemistry ; Photochemical reactions ; Air pollution ; Mathematical models ; Concentration(Composition) ; Regional analysis ; Comparative evaluation ; Oxidation ; Acid rain ; Ozone ; Predictions ; Nitrogen oxides ; Peroxy organic compounds ; RADM(Regional Acid Deposition Model) ; Regional Acid Deposition Model ; ROM(Regional Oxidant Model) ; Regional Oxidant Model
Library Call Number Additional Info Location Last
NTIS  PB94-210549 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 18p
The study attempts to investigate the relative predictability of two major regional scale photochemical models by comparing concentration predictions for various atmospheric chemical species. The Regional Acid Deposition Model (RADM) and the Regional Oxidant Model (ROM) are used to simulate a specific ozone episode over the northeast United States. Trends in spatial and temporal distributions of various photochemical species are compared. Further, the ability of the two models to elucidate relationships between precursor species such as NOx and hydrocarbons with secondary pollutants such as O3, PAN, HNO3, and H202 is examined. Results from the initial phase of the study indicate that although the models show similar spatial patterns of species concentrations, systematic differences in their predictions do occur. The differences result from a combination of effects arising from among others, differences in input emissions and meteorology, numerical representation of the processes and differences inherent to the chemical mechanisms and formulation of the models.