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

수도권 대기질 모델링 정확도 향상을 위한 WRF모델링: 계절별 물리옵션 민감도 연구

  • 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)
  • 정주희 (부산대학교 대기환경과학과) ;
  • 오인보 (울산의대 환경보건센터) ;
  • 강윤희 (부산대학교 환경연구원) ;
  • 방진희 (울산의대 환경보건센터) ;
  • 안혜연 (부산대학교 지구환경시스템학부) ;
  • 석현배 ((주)에코브레인) ;
  • 김유근 (부산대학교 대기환경과학과) ;
  • 홍지형 (국립환경과학원 기후대기연구부) ;
  • 김지영 (국립환경과학원 기후대기연구부)
  • Received : 2015.07.22
  • Accepted : 2015.11.17
  • Published : 2016.01.29

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

References

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