Spatio-temporal Variation Characteristics of Extreme Climate Events and Their Teleconnections to Large-scale Ocean-atmospheric Circulation Patterns in Huaihe River Basin, China During 1959

Spatio-temporal Variation Characteristics of Extreme Climate Events and Their Teleconnections to Large-scale Ocean-atmospheric Circulation Patterns in Huaihe River Basin, China During 1959–2019

Published:2023-11-11 Issue:1 Volume:34 Page:118-134
ISSN:1002-0063
Container-title:Chinese Geographical Science
language:en
Short-container-title:Chin. Geogr. Sci.

Author:

Yao Tian,Zhao Qiang,Wu Chuanhao,Hu Xiaonong,Xia Chuan’an,Wang Xuan,Sang Guoqiang,Liu Jian,Wang Haijun

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,Geography, Planning and Development

Link

https://link.springer.com/content/pdf/10.1007/s11769-023-1398-1.pdf

Reference66 articles.

1. Almazroui M, Saeed S, 2020. Contribution of extreme daily precipitation to total rainfall over the Arabian Peninsula. Atmospheric Research, 231: 104672. doi: https://doi.org/10.1016/j.atmosres.2019.104672

2. CAO Xiaoming, Feng Yiming, SHI Zhongjie, 2020. Spatio-temporal variations in drought with remote sensing from the Mongolian Plateau During 1982–2018. Chinese Geographical Science, 30(6): 1081–1094. doi: https://doi.org/10.1007/s11769-020-1167-3

3. Chen F L, Chen H M, Yang Y Y, 2015. Annual and seasonal changes in means and extreme events of precipitation and their connection to elevation over Yunnan Province, China. Quaternary International, 374: 46–61. doi: https://doi.org/10.1016/j.quaint.2015.02.016

4. Chen J F, Zhao S H, Wang H M et al., 2013. Risk assessment and classification for detention basins based on particle swarm optimization support vector regression (PSO-SVR) in Huaihe River Basin, China. Environmental Engineering and Management Journal, 12(9): 1843–1848. doi: https://doi.org/10.30638/eemj.2013.226

5. Cox P M, Betts R A, Jones C D et al., 2000. Acceleration of global warming due to carbon-cycle feedbacks in a coupled climate model. Nature, 408(6809): 184–187. doi: https://doi.org/10.1038/35041539