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Future joint probability behaviors of precipitation extremes across China: Spatiotemporal patterns and implications for flood and drought hazards

机译:中国未来极端降水的联合概率行为:时空格局及其对洪涝灾害的影响

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摘要

Observed daily precipitation from 527 meteorology stations in China during 1960-2005, and simulated daily precipitation from five Earth System Models (ESMs) under historical, RCP2.6 and RCP8.5 scenarios from Coupled Model Intercomparison Project Phase 5 (CMIP5) datasets are analyzed to investigate joint probability behaviors of precipitation extremes in China during 2021-2050 and 2071-2100. Five joint return periods based on six extreme precipitation indices are defined. These joint return periods consider co-occurrence of extreme heavy and weak precipitation, as well as joint extreme heavy precipitation events in terms of different combinations of extreme precipitation amount, intensity, fractional contribution to annual precipitation days, and consecutive wet periods. Weather Generator Model (WGEN) is used to downscale the outputs of ESMs, and Copula is applied to construct joint probability distributions. The variations of joint return periods with 5-year marginal values (marginal values larger than their 5-year return period values respectively) and 20-year marginal values are discussed to represent changes in joint probability behaviors. Results show that: (1) during 1960-2005, spatial distributions of joint return periods with 5-year marginal values are similar to those with 20-year marginal values; (2) changes in marginal distributions and bivariate relationships between extreme indices may be the causes of joint probability distribution shift; (3) in general, during 2021-2050 and 2071-2100, there is less cooccurrence of consecutive wet and dry days, and more joint extreme heavy precipitation events with various aspects, implying less risk of co-occurrence of floods and droughts in the same year but higher risk of floods in China. But north China may face higher risk of co-occurrence of severe floods and droughts in the same year; and (4) changes in joint return periods under RCP8.5 are more remarkable than under RCP2.6. Even under RCP2.6, a scenario 2 ℃ global average warming target is met, the changes in joint return periods are still considerable.
机译:分析了1960-2005年期间中国527个气象站的日降水量,并分析了5个地球系统模型(ESM)在历史,RCP2.6和RCP8.5情景下从耦合模型比较项目第5阶段(CMIP5)数据集获得的模拟日降水量研究2021-2050年和2071-2100年中国极端降水的联合概率行为。定义了基于六个极端降水指数的五个联合返回期。这些联合回归期考虑了极端强降水和弱降水的共同出现,以及根据极端降水量,强度,对年降水日的分数贡献以及连续的湿润期的不同组合的联合极端强降水事件。天气生成器模型(WGEN)用于缩减ESM的输出,而Copula用于构建联合概率分布。讨论了具有5年边际值(边际值分别大于其5年回报期值)和20年边际值的联合回报期的变化,以表示联合概率行为的变化。结果表明:(1)在1960-2005年间,具有5年边际价值的联合回报期的空间分布与具有20年边际价值的联合回报期的空间分布相似; (2)边际分布的变化和极端指数之间的二元关系可能是联合概率分布偏移的原因; (3)一般而言,在2021-2050和2071-2100期间,连续的干湿日并发较少,而在各个方面都有更多的联合极端强降水事件,这意味着在该地区洪水和干旱并发的风险较小。同年,但中国发生洪灾的风险更高。但是在同一年,中国北方可能面临更高的同时发生严重洪灾和干旱的风险; (4)与RCP2.6相比,RCP8.5的联合返回期的变化更为显着。即使在RCP2.6下,也可以满足2℃的全球平均变暖目标,联合返回期的变化仍然很大。

著录项

  • 来源
    《Global and planetary change》 |2015年第1期|107-122|共16页
  • 作者单位

    Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong, China;

    Department of Water Resources and Environment, Sun Yat-sen University, Guangzhou 510275, China,School of Geography and Planning, and Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou 510275, China,Key Laboratory of Water Cycle and Water Security in South China of Guangdong High Education Institute, Sun Yat-sen University, Guangzhou 510275, China;

    Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong, China,Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Hong Kong, China;

    Department of Biological & Agricultural Engineering and Department of Civil and Environmental Engineering, Texas A&M University, College Station, TX 77843-2117, USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Joint return period; Copula; Extreme precipitation; CMIP5; China;

    机译:联合退货期;系词;极端降水;CMIP5;中国;

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