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http://dx.doi.org/10.5572/KOSAE.2013.29.4.407

Current Status and Development of Modeling Techniques for Forecasting and Monitoring of Air Quality over East Asia  

Park, Rae Seol (School of Environmental Science and Engineering, Gwangju Institute of Science and Technology)
Han, Kyung Man (School of Environmental Science and Engineering, Gwangju Institute of Science and Technology)
Song, Chul Han (School of Environmental Science and Engineering, Gwangju Institute of Science and Technology)
Park, Mi Eun (School of Environmental Science and Engineering, Gwangju Institute of Science and Technology)
Lee, So Jin (School of Environmental Science and Engineering, Gwangju Institute of Science and Technology)
Hong, Song You (Department of Atmospheric Sciences, Yonsei University)
Kim, Jhoon (Department of Atmospheric Sciences, Yonsei University)
Woo, Jung-Hun (Department of Advanced Technology Fusion, Konkuk University)
Publication Information
Journal of Korean Society for Atmospheric Environment / v.29, no.4, 2013 , pp. 407-438 More about this Journal
Abstract
Current status and future direction of air quality modeling for monitoring and forecasting air quality in East Asia were discussed in this paper. An integrated air quality modeling system, combining (1) emission processing and modeling, (2) meteorological model simulation, (3) chemistry-transport model (CTM) simulation, (4) ground-based and satellite-retrieved observations, and (5) data assimilation, was introduced. Also, the strategies for future development of the integrated air quality modeling system in East Asia was discussed in this paper. In particular, it was emphasized that the successful use and development of the air quality modeling system should depend on the active applications of the data sets from incumbent and upcoming LEO/GEO (Low Earth Orbit/Geostationary Earth Orbit) satellites. This is particularly true, since Korea government successfully launched Geostationary Ocean Color Imager (GOCI) in June, 2010 and has another plan to launch Geostationary Environmental Monitoring Spectrometer (GEMS) in 2018, in order to monitor the air quality and emissions in/around the Korean peninsula as well as over East Asia.
Keywords
Integrated air quality modeling system; Chemistry-transport model (CTM); Air quality forecast (or Chemical weather forecast); Numerical weather prediction (NWP); Geostationary satellites;
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