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http://dx.doi.org/10.5322/JESI.2016.25.1.67

WRF Modeling Approach for Improvement of Air Quality Modeling in the Seoul Metropolitan Region: Seasonal Sensitivity Analysis of the WRF Physics Options  

Jeong, Ju-Hee (Department of Atmospheric Sciences, Pusan National University)
Oh, Inbo (Environmental Health Center, University of Ulsan College of Medicine)
Kang, Yoon-Hee (The Institute of Environmental Studies, Pusan National University)
Bang, Jin-Hee (Environmental Health Center, University of Ulsan College of Medicine)
An, Hyeyeon (Division of Earth Environmental System, Pusan National University)
Seok, Hyeon-Bae (Ecobrain Co. Ltd.)
Kim, Yoo-Keun (Department of Atmospheric Sciences, Pusan National University)
Hong, Jihyung (Climate and Air Quality Research Department, National Institute of Environmental Research)
Kim, Jiyoung (Climate and Air Quality Research Department, National Institute of Environmental Research)
Publication Information
Journal of Environmental Science International / v.25, no.1, 2016 , pp. 67-83 More about this Journal
Abstract
In order to improve the prediction of the regional air quality modeling in the Seoul metropolitan area, a sensitivity analysis using two PBL and microphysics (MP) options of the WRF model was performed during four seasons. The results from four sets of the simulation experiments (EXPs) showed that meteorological variables (especially wind field) were highly sensitive to the choice of PBL options (YSU or MYJ) and no significant differences were found depending on MP options (WDM6 or Morrison) regardless of specific time periods, i.e. day and night, during four seasons. Consequently, the EXPs being composed of YSU PBL option were identified to produce better results for meteorological elements (especially wind field) regardless of seasons. On the other hand, the accuracy of all simulations for summer and winter was somewhat lower than those for spring and autumn and the effect according to physics options was highly volatile by geographical characteristics of the observation site.
Keywords
Air quality modeling; WRF; PBL; Microphysics; Physics options; Sensitivity analysis;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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