Journal of Korean Society of Rural Planning (농촌계획)

Korean Society of Rural Planning (한국농촌계획학회)
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Design and Implementation of Reference Evapotranspiration Database for Future Climate Scenarios

기후변화 시나리오를 이용한 미래 읍면동단위 기준증발산량 데이터베이스 설계 및 구축

  • Kim, Taegon (Institute on the Environment, University of Minnesota) ;
  • Suh, Kyo (Graduate School of International Agricultural Technology, Institute of Green Bio Science & Technology, Seoul National University) ;
  • Nam, Won-Ho (Department of Bioresources and Rural Systems Engineering, Hankyong National University) ;
  • Lee, Jemyung (Division of Environmental Science and Technology, Kyoto University) ;
  • Hwang, Syewoon (Department of Agricultural Engineering, Institute of Agriculture and Life Science, Gyeongsang National University) ;
  • Yoo, Seung-Hwan (Department of Rural and Bio-Systems Engineering, Chonnam National University) ;
  • Hong, Soun-Ouk (Rural Research Institute, Korea Rural Community Corporation)
  • 김태곤 (미네소타대학교 환경연구소) ;
  • 서교 (서울대학교 국제농업기술대학원 및 그린바이오과학기술연구원) ;
  • 남원호 (한경대학교 지역자원시스템공학과) ;
  • 이제명 (교토대학교 지역환경과학전공) ;
  • 황세운 (경상대학교 지역환경기반공학과) ;
  • 유승환 (전남대학교 지역바이오시스템공학과) ;
  • 홍순욱 (한국농어촌공사 농어촌연구원)
  • Received : 2016.10.25
  • Accepted : 2016.11.16
  • Published : 2016.11.30
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Abstract

Meanwhile, reference evapotranspiration(ET0) is important information for agricultural management including irrigation planning and drought assessment, the database of reference evapotranspiration for future periods was rarely constructed especially at districts unit over the country. The Coupled Model Intercomparison Project Phase 5 (CMIP5) provides several meteorological data such as precipitation, average temperature, humidity, wind speed, and radiation for long-term future period at daily time-scale. This study aimed to build a database for reference evapotranspiration using the climate forecasts at high resolution (the outputs of HadGEM3-RA provided by Korea Meteorological Administration (KMA)). To estimate reference evapotranspiration, we implemented four different models such as FAO Modified Penman, FAO Penman-Monteith, FAO Blaney-Criddle, and Thornthwaite. The suggested database system has an open architecture so that user could add other models into the database. The database contains 5,050 regions' data for each four models and four Representative Concentration Pathways (RCP) climate change scenarios. The developed database system provides selecting features by which the database users could extract specific region and period data.

Keywords

References

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