지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
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초록· 키워드
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The objective of this study was to correct the bias of the Representative Concentration Pathways (RCP)-based future precipitation data using a quantile mapping method. This method was adopted to correct extreme values because it was designed to adjust simulated data using probability distribution function. The Generalized Extreme Value (GEV) distribution was used to fit distribution for precipitation data obtained from the Korea Meteorological Administration (KMA). The resolutions of precipitation data was 12.5km in space and 3-hour in time. As the results of bias correction over the past 30 years (1976～2005), the annual precipitation was increased 16.3 % overall. And the results for 90 years (divided into 2011～2040, 2041～2070, 2071～2100) were that the future annual precipitation were increased 8.8 %, 9.6 %, 11.3 % respectively. It also had stronger correction effects on high value than low value. It was concluded that a quantile mapping appeared a good method of correcting extreme value.
목차
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참고문헌 (17)
참고문헌 신청
Berg, P. / 2012 / Bias correction of high resolution regional climate model data / Journal of Hydrology 448 : 80 ~ 92
Chen, J. / 2011 / Uncertainty of downscaling method in quantifying the impact of climate change on hydrology / Journal of Hydrology 401 : 190 ~ 202
Gudmundsson, L. / 2012 / Technical note: Downscaling RCM precipitation to the station scale using quantile mapping -a comparison of methods / Hydrology and Earth System Scien
Hashino, T. / 2007 / Evaluation of bias-correction methods for ensemble streamflow volume forecasts / Hydrology and Earth System Sciences Discussions 11 : 939 ~ 950
IPCC / 2007 / Climate Change 2007: Impacts, adaption and vulnerability / Cambridge University Press
Chen, J. / 2011 / Uncertainty of downscaling method in quantifying the impact of climate change on hydrology / Journal of Hydrology 401 : 190 ~ 202
Gudmundsson, L. / 2012 / Technical note: Downscaling RCM precipitation to the station scale using quantile mapping -a comparison of methods / Hydrology and Earth System Scien
Hashino, T. / 2007 / Evaluation of bias-correction methods for ensemble streamflow volume forecasts / Hydrology and Earth System Sciences Discussions 11 : 939 ~ 950
IPCC / 2007 / Climate Change 2007: Impacts, adaption and vulnerability / Cambridge University Press
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