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RCP 시나리오에 근거한 고해상도 미래 풍력 기상자원 분석 KCI 등재

Analysis of the High-Resolution Future Wind Resource based on RCP Scenarios

  • 언어KOR
  • URLhttps://db.koreascholar.com/Article/Detail/320981
  • DOIhttps://doi.org/10.14383/cri.2016.11.1.29
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기후연구 (Journal of Climate Research)
건국대학교 기후연구소 (KU Climate Research Institute)
초록

We developed the Parameter-elevation Regressions on Independent Slopes Model(PRISM)-based Dynamical downscaling Error correction(PRIDE)-Wind speed(WS) model version 3.0 to produce highresolution( 1km) grid data at a monthly time scale by using observation and Regional Climate Model(RCM) wind speed data. We consequently produced monthly wind speed grid data during the observation period(2000~2014) and the future period(2021~2100) for Representative Concentration Pathway(RCP) 2 type scenarios by using the PRIDE-WS model. The PRIDE-WS model is constructed by combining the MK(Modified Korean)-PRISM-Wind, the RCM anomaly and Cumulative Density Function(CDF) fitting, basically based on Kim et al.(2016)’s algorithm applied for daily precipitation. The upper level wind(80m altitude) was estimated by Deacon equation using surface wind speed that was produced by the PRIDE-WS model. The results show that the wind speed at the upper level generally increased during the summer season while it decreased during the spring, autumn and winter seasons.

저자
  • 임윤정(공주대학교 대기과학과) | Yun-Jung Lim
  • 김선애(공주대학교 대기과학과) | Seonae Kim
  • 장동호(공주대학교 지리학과) | Dong-Ho Jang
  • 박종철(공주대학교 지리정보과학연구소) | Jongchul Park
  • 김연희(국립기상과학원 응용기상연구과) | Yeon-Hee Kim
  • 김백조(국립기상과학원 응용기상연구과) | Baek-Jo Kim
  • 김맹기(공주대학교 대기과학과) | Maeng-Ki Kim Correspondence