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.

1. 서론
 2. 연구방법
  2.1. 사례일 선정
  2.2. WRF모델링 구성
  2.3. 모델링 실험설계 및 연구방법
 3. 주요 물리옵션에 따른 계절별 기상요소 민감도 분석
  3.1. 평균적/정량적 차이 분석
  3.2. 관측지점별 특성 분석
  3.3. 수평분포 분석
 4. 결론
 감사의 글
 REFERENCES

• 정주희(부산대학교 대기환경과학과, Department of Atmospheric Sciences, Pusan National University) | Ju-Hee Jeong
• 오인보(울산의대 환경보건센터, Environmental Health Center, University of Ulsan College of Medicine) | Inbo Oh Corresponding author
• 강윤희(부산대학교 환경연구원, The Institute of Environmental Studies, Pusan National University) | Yoon-Hee Kang
• 방진희(울산의대 환경보건센터, Environmental Health Center, University of Ulsan College of Medicine) | Jin-Hee Bang
• 안혜연(부산대학교 지구환경시스템학부, Division of Earth Environmental System, Pusan National University) | Hyeyeon An
• 석현배((주)에코브레인, Ecobrain Co. Ltd) | Hyeon-Bae Seok
• 김유근(부산대학교 대기환경과학과, Department of Atmospheric Sciences, Pusan National University) | Yoo-Keun Kim
• 홍지형(국립환경과학원 기후대기연구부, Climate and Air Quality Research Department, National Institute of Environmental Research) | Jihyung Hong
• 김지영(국립환경과학원 기후대기연구부, Climate and Air Quality Research Department, National Institute of Environmental Research) | Jiyoung Kim