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Korean Meteorological Society (한국기상학회)
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Development of a High-Resolution Near-Surface Air Temperature Downscale Model

고해상도 지상 기온 상세화 모델 개발

  • Lee, Doo-Il (Department of Atmospheric Science, Kongju National University) ;
  • Lee, Sang-Hyun (Department of Atmospheric Science, Kongju National University) ;
  • Jeong, Hyeong-Se (National Institute of Meteorological Sciences) ;
  • Kim, Yeon-Hee (National Institute of Meteorological Sciences)
  • 이두일 (공주대학교 자연과학대학 대기과학과) ;
  • 이상현 (공주대학교 자연과학대학 대기과학과) ;
  • 정형세 (국립기상과학원 미래기반연구부) ;
  • 김연희 (국립기상과학원 미래기반연구부)
  • Received : 2021.07.09
  • Accepted : 2021.09.30
  • Published : 2021.12.31
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Abstract

A new physical/statistical diagnostic downscale model has been developed for use to improve near-surface air temperature forecasts. The model includes a series of physical and statistical correction methods that account for un-resolved topographic and land-use effects as well as statistical bias errors in a low-resolution atmospheric model. Operational temperature forecasts of the Local Data Assimilation and Prediction System (LDAPS) were downscaled at 100 m resolution for three months, which were used to validate the model's physical and statistical correction methods and to compare its performance with the forecasts of the Korea Meteorological Administration Post-processing (KMAP) system. The validation results showed positive impacts of the un-resolved topographic and urban effects (topographic height correction, valley cold air pool effect, mountain internal boundary layer formation effect, urban land-use effect) in complex terrain areas. In addition, the statistical bias correction of the LDAPS model were efficient in reducing forecast errors of the near-surface temperatures. The new high-resolution downscale model showed better agreement against Korean 584 meteorological monitoring stations than the KMAP, supporting the importance of the new physical and statistical correction methods. The new physical/statistical diagnostic downscale model can be a useful tool in improving near-surface temperature forecasts and diagnostics over complex terrain areas.

Keywords

Acknowledgement

이 연구는 기상청 국립기상과학원 「수요자 맞춤형 기상정보 산출기술 개발연구」(KMA2018-00622)와 2019년 공주대학교 연구년 사업의 지원으로 수행되었습니다.

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