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On the applications of AWS into the Four-Dimensional Data Assimllation Technique for 3 Dimensional Air Quality Model in Use of Atmospheric Environmental Assessment  

Kim, Cheol-Hee (National Institute of Environmental Research)
Publication Information
Journal of Environmental Impact Assessment / v.11, no.2, 2002 , pp. 109-116 More about this Journal
Abstract
The diagnostic and prognostic methods for generating 3 dimensional wind field were comparatively analyzed and 4 dimensional data assimilation (FDDA) technique by incorporating Automatic Weather System (AWS) into the prognostic methods was discussed for the urban scale air quality model. The A WS covered the urban scale grid distance of 10.6 km and 4.3 km in South Korea and Kyong-in region, respectively. This is representing that AWS for FDDA could be fairly well accommodated in prognostic model with the meso${\gamma}$~ microa scale (~5 km), indicating that the 3 dimensional wind field by FDDA technique could be a useful interpretative tool in urban area for the atmospheric environmental impact assessment.
Keywords
4 Dimensional Data Assimilation Technique; Automatic Weather System; Air Quality Model; Atmospheric Environmental Impact Assessment;
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Times Cited By KSCI : 1  (Citation Analysis)
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