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首页|期刊导航|气候变化研究进展(英文版)|Using Copula functions to predict climatic change impacts on floods in river source regions

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

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

气候变化研究进展(英文版)2024,Vol.15Issue(3):406-418,13.
气候变化研究进展(英文版)2024,Vol.15Issue(3):406-418,13.DOI:10.1016/j.accre.2024.04.006

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

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

Ting-Xing CHEN 1Hai-Shen LYU 1Robert HORTON 2Yong-Hua ZHU 1Ren-Sheng CHEN 3Ming-Yue SUN 1Ming-Wen LIU 1Yu LIN1

作者信息

  • 1. 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,China
  • 2. Department of Agronomy,Iowa State University,Ames IA 50011,USA
  • 3. Qilian Alpine Ecology and Hydrology Research Station,Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,China
  • 折叠

摘要

关键词

Climate change/Flood frequency/Copula/CMIP6/River source regions

Key words

Climate change/Flood frequency/Copula/CMIP6/River source regions

引用本文复制引用

Ting-Xing CHEN,Hai-Shen LYU,Robert HORTON,Yong-Hua ZHU,Ren-Sheng CHEN,Ming-Yue SUN,Ming-Wen LIU,Yu LIN..Using Copula functions to predict climatic change impacts on floods in river source regions[J].气候变化研究进展(英文版),2024,15(3):406-418,13.

基金项目

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. (2019YFC1510504)

气候变化研究进展(英文版)

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