대기 (Atmosphere)

  • 제30권2호
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  • Pages.155-167
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  • 2020
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  • 1598-3560(pISSN)
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  • 2288-3266(eISSN)
한국기상학회 (Korean Meteorological Society)
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전지구 고해상도 수문모델 적용을 위한 격자유량 추정 방법 적용 연구

Application of a Method Estimating Grid Runoff for a Global High-Resolution Hydrodynamic Model

  • 류영 (국립기상과학원 현업운영개발부) ;
  • 지희숙 (국립기상과학원 현업운영개발부) ;
  • 황승언 (국립기상과학원 현업운영개발부) ;
  • 이조한 (국립기상과학원 현업운영개발부)
  • Ryu, Young (Operational Systems Development Department, National Institute of Meteorological Sciences) ;
  • Ji, Hee-Sook (Operational Systems Development Department, National Institute of Meteorological Sciences) ;
  • Hwang, Seung-On (Operational Systems Development Department, National Institute of Meteorological Sciences) ;
  • Lee, Johan (Operational Systems Development Department, National Institute of Meteorological Sciences)
  • 투고 : 2020.03.18
  • 심사 : 2020.06.05
  • 발행 : 2020.06.30
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초록

In order to produce more detailed and accurate information of river discharge and freshwater discharge, global high-resolution hydrodynamic model (CaMa-Flood) is applied to an operational land surface model of global seasonal forecast system. In addition, bias correction to grid runoff for the hydrodynamic model is attempted. CaMa-Flood is a river routing model that distributes runoff forcing from a land surface model to oceans or inland seas along continentalscale rivers, which can represent flood stage and river discharge explicitly. The runoff data generated by the land surface model are bias-corrected by using composite runoff data from UNH-GRDC. The impact of bias-correction on the runoff, which is spatially resolved on 0.5° grid, has been evaluated for 1991~2010. It is shown that bias-correction increases runoff by 30% on average over all continents, which is closer to UNH-GRDC. Two experiments with coupled CaMa-Flood are carried out to produce river discharge: one using this bias correction and the other not using. It is found that the experiment adapting bias correction exhibits significant increase of both river discharge over major rivers around the world and continental freshwater discharge into oceans (40% globally), which is closer to GRDC. These preliminary results indicate that the application of CaMa-Flood as well as bias-corrected runoff to the operational global seasonal forecast system is feasible to attain information of surface water cycle from a coupled suite of atmospheric, land surface, and hydrodynamic model.

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