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Variance Analysis of RCP4.5 and 8.5 Ensemble Climate Scenarios for Surface Temperature in South Korea

우리나라 상세 기후변화 시나리오의 지역별 기온 전망 범위 - RCP4.5, 8.5를 중심으로 -

  • Han, Jihyun (Department of atmospheric and climate change research, Korea Environment Institute) ;
  • Shim, Changsub (Department of atmospheric and climate change research, Korea Environment Institute) ;
  • Kim, Jaeuk (Department of land and water environment research, Korea Environment Institute)
  • 한지현 (한국환경정책.평가연구원 기후대기연구부) ;
  • 심창섭 (한국환경정책.평가연구원 기후대기연구부) ;
  • 김재욱 (한국환경정책.평가연구원 물국토연구부)
  • Received : 2018.02.14
  • Accepted : 2018.03.23
  • Published : 2018.03.31

Abstract

The uncertainty of climate scenarios, as initial information, is one of the significant factors among uncertainties of climate change impacts and vulnerability assessments. In this sense, the quantification of the uncertainty of climate scenarios is essential to understanding these assessments of impacts and vulnerability for adaptation to climate change. Here we quantified the precision of surface temperature of ensemble scenarios (high resolution (1km) RCP4.5 and 8.5) provided by Korea Meteorological Administration, with spatiotemporal variation of the standard deviation of them. From 2021 to 2050, the annual increase rate of RCP8.5 was higher than that of RCP4.5 while the annual variation of RCP8.5 was lower than that of RCP4.5. The standard deviations of ensemble scenarios are higher in summer and winter, particularly in July and January, when the extreme weather events could occur. In general, the uncertainty of ensemble scenarios in summer were lower than those in winter. In spatial distribution, the standard deviation of ensemble scenarios in Seoul Metropolitan Area is relatively higher than other provinces, while that of Yeongnam area is lower than other provinces. In winter, the standard deviations of ensemble scenarios of RCP4.5 and 8.5 in January are higher than those of December. Especially, the standard deviation of ensemble scenarios is higher in the central regions including Gyeonggi, and Gangwon, where the mean surface temperature is lower than southern regions along with Chungbuk. Such differences in precisions of climate ensemble scenarios imply that those uncertainty information should be taken into account for the implementation of national climate change policy.

Keywords

Acknowledgement

Supported by : 환경부, 한국 기상산업 진흥원