Using Copula functions to predict climatic change impacts on floods in river source regionsOA

作者：Ting-Xing CHEN;Hai-Shen LYU;Robert HORTON;Yong-Hua ZHU;Ren-Sheng CHEN;Ming-Yue SUN;Ming-Wen LIU;Yu LIN

作者单位：The National Key Laboratory of Water Disaster Prevention,College of Hydrology and Water Resources,Hohai University,Nanjing 210098,China||College of Hydrology and Water Resources,Hohai University,Nanjing 210098,ChinaThe National Key Laboratory of Water Disaster Prevention,College of Hydrology and Water Resources,Hohai University,Nanjing 210098,China||College of Hydrology and Water Resources,Hohai University,Nanjing 210098,ChinaDepartment of Agronomy,Iowa State University,Ames IA 50011,USAThe National Key Laboratory of Water Disaster Prevention,College of Hydrology and Water Resources,Hohai University,Nanjing 210098,China||College of Hydrology and Water Resources,Hohai University,Nanjing 210098,ChinaQilian Alpine Ecology and Hydrology Research Station,Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,ChinaThe National Key Laboratory of Water Disaster Prevention,College of Hydrology and Water Resources,Hohai University,Nanjing 210098,China||College of Hydrology and Water Resources,Hohai University,Nanjing 210098,ChinaThe National Key Laboratory of Water Disaster Prevention,College of Hydrology and Water Resources,Hohai University,Nanjing 210098,China||College of Hydrology and Water Resources,Hohai University,Nanjing 210098,ChinaThe National Key Laboratory of Water Disaster Prevention,College of Hydrology and Water Resources,Hohai University,Nanjing 210098,China||College of Hydrology and Water Resources,Hohai University,Nanjing 210098,China

中文关键词：Climate changeFlood frequencyCopulaCMIP6River source regions

英文关键词：Climate changeFlood frequencyCopulaCMIP6River source regions

刊名：《气候变化研究进展（英文版）》 2024 (3)

页码/页数：406-418,13

基金：This work was supported by the Ministry of Science and Technology of the People's Republic of China,China(2019YFC1510504)and the National Natural Science Foun-dation of China,China(41830752,42071033,and 41961134003).We are grateful to the World Climate Research Program(WCRP)for making the CMIP6 model dataset pub-licly available and the National Meteorological Science Data Center of China for providing the Chinese precipitation and temperature grid point dataset.We are very grateful to the re-viewers for their constructive comments and thoughtful sug-gestions that have substantially improved this article.

DOI：10.1016/j.accre.2024.04.006