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NTIS 바로가기대기 = Atmosphere, v.31 no.2, 2021년, pp.185 - 198
양아련 (봄인 사이언스 컨설팅) , 오수빈 (봄인 사이언스 컨설팅) , 김주완 (공주대학교 대기과학과) , 이승우 (기상청 수치모델링센터 수치자료응용과) , 김춘지 (봄인 사이언스 컨설팅) , 박수현 (봄인 사이언스 컨설팅)
In this study, we examined a spatial downscaling method based on Gradient and Inverse Distance Squared (GIDS) weighting to produce high-resolution grid data from a numerical weather prediction model over Korean Peninsula with complex terrain. The GIDS is a simple and effective geostatistical downsca...
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