Citation:

Douglas, S. APPLICATION OF A DATA-ASSIMILATING PROGNOSTIC METEOROLOGICAL MODEL TO TWO URBAN AREAS. U.S. Environmental Protection Agency, Washington, D.C., EPA/600/R-92/221 (NTIS PB93126571).

Description:

In this study we have used a data-assimilating prognostic meteorological model, the Systems Applications International Mesoscale Model (SAIMM), ot generate meteorological fields suitable for photochemical modeling of two urban areas; os Angeles, California and the Lower Lake Michigan area which includes Chicago, Illinois; Milwaukee, Wisconsin; Gary, Indiana; and Muskegon, Michigan. he objectives of this study were to test the ability of the SAIMM to provide accurate meteorological fields for photochemical modeling of the Los Angeles and Lower Lake Michigan urban areas and to investigate the meteorological data requirements needed to support the use of the SAIMM four-dimensional data assimilation (FDDA) procedure. esting of the SAIMM/FDDA methodology for application to the Los Angeles and Lower Lake Michigan urban areas was accomplished through a series of nudging-effectiveness and data-reduction simulations. or Los Angeles the SAIMM/FDDA procedure was tested using observational data collected during the 1987 Southern California Air Quality Study (SCAQS) and was applied to 25 June (one of the SCAQS episode days); for the Lower Lake Michigan area the procedure was tested using observational data collected during the 1991 Lake Michigan Ozone Study (LMOS) and was applied to 26 June (one of the LMOS episode days).

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