Dynamic spatiotemporal variation and its causes of extreme precipitation in the Huaihe River Basin, China

被引:0
作者
Haoyu Jin
Xiaohong Chen
Moyang Liu
Ruida Zhong
Yingjie Pan
Tongtiegang Zhao
Zhiyong Liu
Xinjun Tu
机构
[1] Sun Yat-Sen University,School of Civil Engineering
[2] Sun Yat-Sen University,Guangdong Engineering Technology Research Center of Water Security Regulation and Control for Southern China
[3] Sun Yat-Sen University,Key Laboratory of Water Cycle and Water Security in Southern China of Guangdong High Education Institute
[4] The Australian National University (ANU),The Fenner School of Environment and Society
[5] Dongjiang Water Source Project Management Division of Shenzhen,undefined
来源
Theoretical and Applied Climatology | 2022年 / 149卷
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摘要
With the intensification of global warming, extreme precipitation events occur frequently all over the world. Extreme precipitation has brought huge challenges to the development of human society and economy, and it is urgent to strengthen the analysis of the causes of extreme precipitation. In this study, we first extracted precipitation events from the precipitation time series from 1960 to 2018 in the Huaihe River Basin (HRB) and then extracted extreme precipitation events based on precipitation amount and precipitation intensity. The results show that extreme precipitation in the HRB has an increasing trend after 2000, although the increasing trend is not obvious, and the uncertainty of the occurrence of extreme precipitation events had increased. Extreme precipitation mainly had a strong correlation with the surface air temperature in the North Pacific, Indian Ocean, and Qinghai–Tibet Plateau. The El Niño year and the year of abnormal circulation contribute to the production of extreme precipitation in the HRB. In the years when extremely heavy precipitation occurred in the HRB, the subtropical high was northerly. Although most of the water vapor is brought from the Pacific by the East Asian monsoon, the water vapor that causes extreme precipitation in the HRB mainly comes from the Indian Ocean. Through multivariate wavelet coherence (MWC) analysis, annual precipitation is greatly affected by multiple climate variables, while extreme precipitation is greatly affected by a single climate variable. This study provides an important reference for the analysis and prediction of extreme precipitation.
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页码:1727 / 1751
页数:24
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