Key propagation pathways of extreme precipitation events revealed by climate networks

被引:3
|
作者
Li, Kaiwen [1 ,2 ,3 ]
Huang, Yu [3 ,4 ]
Liu, Kai [1 ,5 ]
Wang, Ming [1 ,5 ]
Cai, Fenying [3 ]
Zhang, Jianxin [1 ,3 ,6 ]
Boers, Niklas [3 ,4 ]
机构
[1] Beijing Normal Univ, Sch Natl Safety & Emergency Management, Beijing, Peoples R China
[2] Beijing Normal Univ, Fac Geog Sci, Beijing, Peoples R China
[3] Potsdam Inst Climate Impact Res PIK, Dept Complex Sci, Potsdam, Germany
[4] Tech Univ Munich, Sch Engn & Design, Earth Syst Modelling, Munich, Germany
[5] Beijing Normal Univ Zhuhai, Joint Int Res Lab Catastrophe Simulat & Syst Risk, Zhuhai, Peoples R China
[6] Beijing Normal Univ, Sch Syst Sci, Beijing, Peoples R China
来源
NPJ CLIMATE AND ATMOSPHERIC SCIENCE | 2024年 / 7卷 / 01期
基金
中国国家自然科学基金;
关键词
ATMOSPHERIC RIVERS; RAINFALL EVENTS; MOISTURE TRANSPORT; SOUTH-AMERICA; VARIABILITY; PATTERNS; IMPACT; ANDES; ENSO;
D O I
10.1038/s41612-024-00701-6
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The comprehensive understanding of propagation patterns of extreme precipitation events (EPEs) is essential for early warning of associated hazards such as floods and landslides. In this study, we utilize climate networks based on an event synchronization measure to investigate the propagation patterns of EPEs over the global land masses, and identify 16 major propagation pathways. We explain them in association with regional weather systems, topographic effects, and travelling Rossby wave patterns. We also demonstrate that the revealed propagation pathways carry substantial EPE predictability in certain areas, such as in the Appalachian, the Andes mountains. Our results help to improve the understanding of key propagation patterns of EPEs, where the global diversity of the propagated patterns of EPEs and corresponding potential predictability provide prior knowledge for predicting EPEs, and demonstrate the power of climate network approaches to study the spatiotemporal connectivity of extreme events in the climate system.
引用
收藏
页数:8
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