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Assessment of Climate Change Impacts on Extreme Precipitation Events: Applications of CMIP5 Climate Projections Statistically Downscaled over South Korea

机译:评估气候变化对极端降水事件的影响:CMIP5气候预测的应用在韩国统计上较统计

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摘要

Climate change may accelerate the water cycle at a global scale, resulting in more frequent extreme climate events. This study analyzed changes in extreme precipitation events employing climate projections statistically downscaled at a station-space scale in South Korea. Among the CMIP5 climate projections, based on spatial resolution, this study selected 26 climate projections that provide daily precipitation under the representative concentration pathway (RCP) 4.5. The results show that a 20-year return period of precipitation event during a reference period (1980?2005) corresponds to a 16.6 yr for 2011 to 2040,14.1 yr for 2041 to 2070, and 12.8 yr for 2071 to 2100, indicating more frequent extreme maximum daily precipitation may occur in the future. In addition, we found that the probability density functions of the future periods are located out of the 10% confidence interval of the PDF for the reference period. The result indicates that the design standard under the reference climate is not managed to cope with climate change, and accordingly the revision of the design standard is required to improve sustainability in infrastructures.
机译:气候变化可能会在全球范围内加速水循环,导致更频繁的极端气候事件。本研究分析了在韩国的站空间规模上统计上落下的气候预测的极端降水事件的变化。基于空间分辨率的CMIP5气候投影中,本研究选择了26个气候突起,在代表性浓度途径(RCP)4.5下提供每日降水量。结果表明,参考期(1980年)(1980年)期间的降水事件20年的回报期对应于2011至2040,14.1yR的16.6,为2041至2070,以及2071〜2100的12.8yr,表明更频繁将来可能会出现极端最大的每日降水。另外,我们发现未来时段的概率密度函数位于参考周期的PDF的10%置信区间之外。结果表明,参考气候下的设计标准不设法应对气候变化,因此需要修改设计标准,以提高基础设施的可持续性。

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