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Main Title Sensitivity of the Regional Oxidant Model to Meterological Parameters.
Author Olerud, D. T. ; Pierce, T. E. ; Schere, K. L. ; Hanna, A. F. ;
CORP Author MCNC, Research Triangle Park, NC. Information Technologies Div. ;National Oceanic and Atmospheric Administration, Research Triangle Park, NC. Air Resources Lab.;Environmental Protection Agency, Research Triangle Park, NC. Atmospheric Research and Exposure Assessment Lab.
Publisher 1993
Year Published 1993
Report Number EPA/600/A-94/096;
Stock Number PB94-176625
Additional Subjects Ozone ; Air pollution dispersion ; Meteorological data ; Atmospheric diffusion ; Mathematical models ; Three-dimensional calculations ; Atmospheric models ; Photochemistry ; Atmospheric chemistry ; Air temperature ; Air pollution monitoring ; Spatial distribution ; Wind velocity ; Wind direction ; Boundary layer stability ; Boundary conditions ; Atmospheric boundary layer ; Sensitivity ; Reprints ; Regional Oxidant Model
Library Call Number Additional Info Location Last
NTIS  PB94-176625 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 17p
A variety of non-emissions-related sensitivity and shock tests are performed on the Regional Oxidant Model (ROM) version 2.2, a regional-scale, three-layer, Eulerian-grid air quality model. Variables perturbed include the initial conditions, boundary conditions, cloud transmissivities, horizontal diffusivities, layer heights, temperature, deposition velocity, and vertical fluxes. The sensitivity tests fall into three groups: (1) boundary-conditions-related tests, (2) layer-related tests, and (3) miscellaneous meteorological tests. The authors find that the ROM2.2 is particularly sensitive to perturbations in the height of layer 2 and in cloud transmissivity. Perturbations in deposition velocity, upper boundary conditions, layer 1 heights, temperature, and vertical fluxes can also produce significant changes in model predictions. Lateral boundary conditions and initial conditions play relatively minor roles in the model predictions for more polluted areas.