CLIMK–WINDS: a new database of extreme  European winter windstorms

Flynn, Clare M.; Moemken, Julia; Pinto, Joaquim G.; Schutte, Michael K.; Messori, Gabriele

doi:https://doi.org/10.5194/essd-17-4431-2025

Articles | Volume 17, issue 9

https://doi.org/10.5194/essd-17-4431-2025

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

https://doi.org/10.5194/essd-17-4431-2025

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

Articles | Volume 17, issue 9

Data description paper

|

08 Sep 2025

Data description paper |

| 08 Sep 2025

CLIMK–WINDS: a new database of extreme European winter windstorms

Clare M. Flynn, Julia Moemken, Joaquim G. Pinto, Michael K. Schutte, and Gabriele Messori

Supplement

https://doi.org/10.5194/essd-17-4431-2025-supplement

Data sets

Storm Database Files for CLIMK–WINDS: A New Database of Extreme European Winter Windstorms C. M. Flynn et al. https://doi.org/10.5281/zenodo.10594398

Winter windstorm indicators for Europe from 1979 to 2021 derived from reanalysis C3S Climate Data Store https://doi.org/10.24381/cds.9b4ea013

ERA5 hourly data on single levels from 1940 to present H. Hersbach et al. https://doi.org/10.24381/cds.adbb2d47

HoKliSim-De COSMO-CLM climate model simulation data version V2022.01 S. Brienen et al. https://doi.org/10.5676/DWD/HOKLISIM_V2022.01

Towards a high-resolution regional reanalysis for the European CORDEX domain (https://opendata.dwd.de/climate_environment/REA/) C. Bollmeyer et al. https://doi.org/10.1002/qj.2486

The XWS open access catalogue of extreme European windstorms from 1979 to 2012 (https://www.europeanwindstorms.org/repository/) J. F. Roberts et al. https://doi.org/10.5194/nhess-14-2487-2014

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Short summary

We created a new, publicly available, database of the top 50 most extreme European winter windstorms from each of four different meteorological input data sets covering the years 1995–2015. We found variability in all aspects of our database, from which storms were included in the top 50 storms for each input to the storms' spatial variability. We urge users of our database to consider the storms as identified from two or more input sources within our database where possible.