Application of a Data-Assimilating Prognostic Meteorological Model to Two UrbanAreas

摘要

In the study the authors have used a data-assimilating prognostic meteorologicalmodel, the Systems Applications International Mesoscale Model (SAIMM), to generate meteorological fields suitable for photochemical modeling of two urban areas: Los Angeles, California and the Lower Lake Michigan area which includes Chicago, Illinois; Milwaukee, Wisconsin; Gary, Indiana; and Muskegon, Michigan. The objectives of the 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. For 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).