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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
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;
Joint return period; Copula; Extreme precipitation; CMIP5; China;
机译:基于地球系统模型的2071–2100年中国极端降水的时空格局变化
机译:气候变化下喜马拉雅地区极端温度的时空联合概率行为
机译:使用基于Copula的评估方法评估未来极端降水的联合概率
机译:分析安纳托利亚东南部极端降水事件的时空模式
机译:21世纪中国在中国改变气候变化下极端降水和温度和洪水和干旱影响的变化
机译:基于CMIP5气候模式的中国金沙江流域未来极端降水与洪水变化预测。
机译:韩国民主人民共和国Z-Indem的Z-Indem的时空沉淀和洪水模式