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Skillful Wind Field Simulation over Complex Terrain using Coupling System of Atmospheric Prognostic and Diagnostic Models

대기예보모형과 진단모형 결합을 통한 복잡지형 바람장 해석능력 평가

  • Lee, Hwa-Woon (Division of Earth Environment System, Pusan National University) ;
  • Kim, Dong-Hyeok (Division of Earth Environment System, Pusan National University) ;
  • Lee, Soon-Hwan (Institute of Environmental studies, Pusan National University) ;
  • Kim, Min-Jung (Division of Earth Environment System, Pusan National University) ;
  • Park, Soon-Young (Division of Earth Environment System, Pusan National University) ;
  • Kim, Hyun-Goo (Korea Institute of Energy Research)
  • 이화운 (부산대학교 지구환경시스템학부) ;
  • 김동혁 (부산대학교 지구환경시스템학부) ;
  • 이순환 (부산대학교 환경문제연구소) ;
  • 김민정 (부산대학교 지구환경시스템학부) ;
  • 박순영 (부산대학교 지구환경시스템학부) ;
  • 김현구 (한국에너지기술연구원)
  • Published : 2010.01.31

Abstract

A system coupled the prognostic WRF mesoscale model and CALMET diagnostic model has been employed for predicting high-resolution wind field over complex coastal area. WRF has three nested grids down to from during two days from 24 August 2007 to 26 August 2007. CALMET simulation is performed using both initial meteorological field from WRF coarsest results and surface boundary condition that is Shuttle Radar Topography Mission (SRTM) 90m topography and Environmental Geographic Information System (EGIS) 30m landuse during same periods above. Four Automatic Weather System (AWS) and a Sonic Detection And Ranging (SODAR) are used to verify modeled wind fields. Horizontal wind fields in CM_100m is not only more complex but better simulated than WRF_1km results at Backwoon and Geumho in which there are shown stagnation, blocking effects and orographically driven winds. Being increased in horizontal grid spacing, CM_100m is well matched with vertically wind profile compared SODAR. This also mentions the importance of high-resolution surface boundary conditions when horizontal grid spacing is increased to produce detailed wind fields over complex terrain features.

Keywords

References

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