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Development of Extreme Event Analysis Tool Base on Spatial Information Using Climate Change Scenarios

기후변화 시나리오를 활용한 공간정보 기반 극단적 기후사상 분석 도구(EEAT) 개발

  • Han, Kuk-Jin (Center for Environmental Data Strategy, Korea Environment Institute) ;
  • Lee, Moung-Jin (Center for Environmental Data Strategy, Korea Environment Institute)
  • 한국진 (한국환경정책.평가연구원 환경데이터전략센터) ;
  • 이명진 (한국환경정책.평가연구원 환경데이터전략센터)
  • Received : 2020.06.09
  • Accepted : 2020.06.16
  • Published : 2020.06.30

Abstract

Climate change scenarios are the basis of research to cope with climate change, and consist of large-scale spatio-temporal data. From the data point of view, one scenario has a large capacity of about 83 gigabytes or more, and the data format is semi-structured, making it difficult to utilize the data through means such as search, extraction, archiving and analysis. In this study, a tool for analyzing extreme climate events based on spatial information is developed to improve the usability of large-scale, multi-period climate change scenarios. In addition, a pilot analysis is conducted on the time and space in which the heavy rain thresholds that occurred in the past can occur in the future, by applying the developed tool to the RCP8.5 climate change scenario. As a result, the days with a cumulative rainfall of more than 587.6 mm over three days would account for about 76 days in the 2080s, and localized heavy rains would occur. The developed analysis tool was designed to facilitate the entire process from the initial setting through to deriving analysis results on a single platform, and enabled the results of the analysis to be implemented in various formats without using specific commercial software: web document format (HTML), image (PNG), climate change scenario (ESR), statistics (XLS). Therefore, the utilization of this analysis tool is considered to be useful for determining future prospects for climate change or vulnerability assessment, etc., and it is expected to be used to develop an analysis tool for climate change scenarios based on climate change reports to be presented in the future.

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