Journal of Korea Water Resources Association (한국수자원학회논문집)

Korea Water Resources Association (한국수자원학회)
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A development of downscaling scheme for sub-daily extreme precipitation using conditional copula model

조건부 Copula 모형을 활용한 시간단위 극치강우량 상세화 기법 개발

  • Kim, Jin-Young (Department of Civil Engineering, Chonbuk National University) ;
  • Park, Chan-Young (Department of Civil Engineering, Chonbuk National University) ;
  • Kwon, Hyun-Han (Department of Civil Engineering, Chonbuk National University)
  • 김진영 (전북대학교 토목공학과 방재연구센터) ;
  • 박찬영 (전북대학교 토목공학과 방재연구센터) ;
  • 권현한 (전북대학교 토목공학과 방재연구센터)
  • Received : 2016.08.17
  • Accepted : 2016.09.06
  • Published : 2016.10.31
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Abstract

Climate change projections for precipitation are in general provided at daily time step. However, sub-daily precipitation data is necessarily required for hydrologic design and management. Thus, a reliable downscaling model is needed to analyze impact of climate change on water resources. While daily downscaling models have been widely developed and applied in hydrologic and climate community, hourly downscaling models have not been properly developed. In this regard, this study aims at developing a hourly downscaling model that can better reproduce sub-daily extreme rainfalls using conditional copula model. The proposed model was applied to generate extreme rainfalls under the RCP 8.5 scenario for weather stations in South Korea, and design rainfalls were then finally provided. We expected that the future design rainfalls can be used for baseline data to evaluate impact of climate change on water resources.

현재 국내외에서 제공되고 있는 기후변화 시나리오 자료의 경우 일단위로 제공되고 있다. 그러나 수문 설계 및 계획 시 중요한 입력자료 중 하나는 시간단위 강우 자료로서 기후변화 시나리오에 따른 수자원 변동성을 평가하기 위해선 신뢰성 있는 상세화 기법이 필요하다. 국내외에서는 일단 위에서 일단위로 상세화 하는 기법, 또는 공간상세화 기법 연구는 다수 진행된바 있는 반면, 시간단위 상세화 기법 연구는 일단위 연구에 비해 상대적으로 미진한 실정이다. 이러한 점에서 본 연구에서는 기후변화 시나리오에 따른 영향 평가가 가능한 자료생성을 위해 Conditional Copula 모형을 활용하여 극치시간단위 강우량 상세화 기법을 개발하였으며, 미래 RCP 8.5 시나리오를 활용하여 연대별 극치시간강우량을 생성하였다. 생성된 결과는 우리나라 기상청 지점별로 빈도해석을 통해 결과를 제시하였으며, 본 연구결과는 수자원 분야에서 미래 기후변화 영향을 평가하기 위한 기초자료로 활용 될 수 있을 것으로 기대된다.

Keywords

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