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http://dx.doi.org/10.5322/JES.2010.19.1.027

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

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)
Publication Information
Journal of Environmental Science International / v.19, no.1, 2010 , pp. 27-37 More about this Journal
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
High-resolution wind field; WRF; CALMET; Gwangyang;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
연도 인용수 순위
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