Concurrent modes of climate variability linked to spatially compounding wind and precipitation extremes in the Northern Hemisphere

François, Bastien; Teber, Khalil; Brett, Lou; Leeding, Richard; Gimeno-Sotelo, Luis; Domeisen, Daniela I. V.; Suarez-Gutierrez, Laura; Bevacqua, Emanuele

doi:https://doi.org/10.5194/esd-16-1029-2025

Articles | Volume 16, issue 4

https://doi.org/10.5194/esd-16-1029-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Methodological innovations for the analysis and management...

https://doi.org/10.5194/esd-16-1029-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 4

Research article

|

15 Jul 2025

Research article |

| 15 Jul 2025

Concurrent modes of climate variability linked to spatially compounding wind and precipitation extremes in the Northern Hemisphere

Bastien François, Khalil Teber, Lou Brett, Richard Leeding, Luis Gimeno-Sotelo, Daniela I. V. Domeisen, Laura Suarez-Gutierrez, and Emanuele Bevacqua

Supplement

https://doi.org/10.5194/esd-16-1029-2025-supplement

Data sets

ERA5 hourly data on single levels from 1940 to present Copernicus Climate Change Service, Climate Data Store https://doi.org/10.24381/cds.adbb2d47

CLIVAR LE project, Research Data Archive at the National Center for Atmospheric Research F. Lehner https://rda.ucar.edu/datasets/d651014/

Assessing Climate Variability and Change in Model Large Ensembles: A User's Guide to the "Climate Variability Diagnostics Package for Large Ensembles" Version 1.0 A. Phillips et al. https://doi.org/10.5065/h7c7-f961

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Short summary

Spatially compounding wind and precipitation (CWP) extremes can lead to severe impacts on society. We find that concurrent climate variability modes favor the occurrence of such wintertime spatially compounding events in the Northern Hemisphere and can even amplify the number of regions and population exposed. Our analysis highlights the importance of considering the interplay between variability modes to improve risk management of such spatially compounding events.