Key propagation pathways of extreme precipitation events revealed by climate networks

Kaiwen Li; Yu Huang; Kai Liu; Ming Wang; Fenying Cai; Jianxin Zhang; Niklas Boers

doi:10.1038/s41612-024-00701-6

journal article Open Access Jul 12, 2024

Key propagation pathways of extreme precipitation events revealed by climate networks

Kaiwen Li

npj Climate and Atmospheric Science Vol. 7 No. 1 · Springer Science and Business Media LLC

View at Publisher Save 10.1038/s41612-024-00701-6

Abstract

AbstractThe 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.

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References

Details

Published: Jul 12, 2024
Vol/Issue: 7(1)
License: View

Authors

Ningbo University

Intergovernmental Oceanographic Commission of UNESCO

M

Ming Wang

Department of Biochemistry, Medical College of Wisconsin, Milwaukee, WI 53226; and Department of Biochemistry, University of Texas Health Science Center at San Antonio, San Antonio, TX 78284

Key Laboratory for Liquid‐Solid Structural Evolution and Processing of Materials (Ministry of Education) School of Materials Science and Engineering Shandong University Jinan 250061 China

N

Niklas Boers

Funding

National Natural Science Foundation of China Award: 52394232

Alexander von Humboldt-Stiftung

Cite This Article

Kaiwen Li, Yu Huang, Kai Liu, et al. (2024). Key propagation pathways of extreme precipitation events revealed by climate networks. npj Climate and Atmospheric Science, 7(1). https://doi.org/10.1038/s41612-024-00701-6

Key propagation pathways of extreme precipitation events revealed by climate networks

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