Atmosphere (대기)

Korean Meteorological Society (한국기상학회)
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Sensitivity Analysis of the High-Resolution WISE-WRF Model with the Use of Surface Roughness Length in Seoul Metropolitan Areas

서울지역의 고해상도 WISE-WRF 모델의 지표면 거칠기 길이 개선에 따른 민감도 분석

  • Jee, Joon-Bum (Weather Information Service Engine, Hankuk University of Foreign Studies) ;
  • Jang, Min (Weather Information Service Engine, Hankuk University of Foreign Studies) ;
  • Yi, Chaeyeon (Weather Information Service Engine, Hankuk University of Foreign Studies) ;
  • Zo, Il-Sung (Research Institute of Radiation & Satellite, Gangneung-Wonju National University) ;
  • Kim, Bu-Yo (Department of Atmospheric & Environmental Sciences, Gangneung-Wonju National University) ;
  • Park, Moon-Soo (Weather Information Service Engine, Hankuk University of Foreign Studies) ;
  • Choi, Young-Jean (Weather Information Service Engine, Hankuk University of Foreign Studies)
  • 지준범 (한국외국어대학교 차세대도시농림융합기상사업단) ;
  • 장민 (한국외국어대학교 차세대도시농림융합기상사업단) ;
  • 이채연 (한국외국어대학교 차세대도시농림융합기상사업단) ;
  • 조일성 (강릉원주대학교 복사위성연구소) ;
  • 김부요 (강릉원주대학교 대기환경과학과) ;
  • 박문수 (한국외국어대학교 차세대도시농림융합기상사업단) ;
  • 최영진 (한국외국어대학교 차세대도시농림융합기상사업단)
  • Received : 2015.12.10
  • Accepted : 2016.01.15
  • Published : 2016.03.31
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Abstract

In the numerical weather model, surface properties can be defined by various parameters such as terrain height, landuse, surface albedo, soil moisture, surface emissivity, roughness length and so on. And these parameters need to be improved in the Seoul metropolitan area that established high-rise and complex buildings by urbanization at a recent time. The surface roughness length map is developed from digital elevation model (DEM) and it is implemented to the high-resolution numerical weather (WISE-WRF) model. Simulated results from WISE-WRF model are analyzed the relationship between meteorological variables to changes in the surface roughness length. Friction speed and wind speed are improved with various surface roughness in urban, these variables affected to temperature and relative humidity and hence the surface roughness length will affect to the precipitation and Planetary Boundary Layer (PBL) height. When surface variables by the WISE-WRF model are validated with Automatic Weather System (AWS) observations, NEW experiment is able to simulate more accurate than ORG experiment in temperature and wind speed. Especially, wind speed is overestimated over $2.5m\;s^{-1}$ on some AWS stations in Seoul and surrounding area but it improved with positive correlation and Root Mean Square Error (RMSE) below $2.5m\;s^{-1}$ in whole area. There are close relationship between surface roughness length and wind speed, and the change of surface variables lead to the change of location and duration of precipitation. As a result, the accuracy of WISE-WRF model is improved with the new surface roughness length retrieved from DEM, and its surface roughness length is important role in the high-resolution WISE-WRF model. By the way, the result in this study need various validation from retrieved the surface roughness length to numerical weather model simulations with observation data.

Keywords

References

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