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  Evidence for preferred propagating terrestrial heatwave pathways due to Rossby wave activity

Wang, M., Huang, Y., Franzke, C. L. E., Yuan, N., Fu, Z., Boers, N. (2025): Evidence for preferred propagating terrestrial heatwave pathways due to Rossby wave activity. - Nature Communications, 16, 4742.
https://doi.org/10.1038/s41467-025-60104-w

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https://zenodo.org/records/15380297 (Supplementary material)
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 Creators:
Wang, Mingzhao1, Author
Huang, Yu2, Author              
Franzke, Christian L. E.1, Author
Yuan, Naiming1, Author
Fu, Zuntao1, Author
Boers, Niklas2, Author              
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: Terrestrial heatwaves are prolonged hot weather events often resulting in widespread socioeconomic impacts. Predicting heatwaves remains challenging, partly due to limited understanding of the events’ spatial evolution and underlying mechanisms. Heatwaves were mainly examined at fixed stations, with little attention given to the fact that the center of a heatwave can move a long distance. Here, we examine the spatial propagation of terrestrial heatwaves using a complex network algorithm, and find four preferred propagation pathways of terrestrial heatwaves in the northern hemisphere. Along each preferred pathway, heatwaves evolve in two ways: propagating along the pathway or being stationary. We show that the propagating heatwave pathways are consistent with the movement of Rossby wave trains, and that both are guided by enhanced Rossby wave flux activities. The detected propagation pathways are found to provide prior knowledge for occurrences of downstream heatwaves that can be used for identifying associated precursor signals. The results shed light on the mechanisms responsible for preferred propagating heatwave pathways and provide potential predictability of terrestrial heatwaves.

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Language(s): eng - English
 Dates: 2025-05-152025-05-222025-05-22
 Publication Status: Finally published
 Pages: 10
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1038/s41467-025-60104-w
MDB-ID: No MDB - stored outside PIK (see locators/paper)
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Working Group: Artificial Intelligence
Research topic keyword: Complex Networks
Research topic keyword: Extremes
OATYPE: Gold Open Access
 Degree: -

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Title: Nature Communications
Source Genre: Journal, SCI, Scopus, p3, oa
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Pages: - Volume / Issue: 16 Sequence Number: 4742 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals354
Publisher: Nature