Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 19, issue 14
Articles | Volume 19, issue 14
https://doi.org/10.5194/gmd-19-6663-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-6663-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 14
Model evaluation paper
 | 
23 Jul 2026
Model evaluation paper |  | 23 Jul 2026

Ensemble forecasts of isolated and compound wind and precipitation extremes in Europe using HC-SWG (v3.1) and MA-SWG (v1.1) Stochastic Weather Generators

Meriem Krouma and Gabriele Messori

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Short summary
We present two forecasting methods for extreme precipitation and extreme wind in Europe, using stochastic weather generators and past atmospheric patterns. One targets precipitation via weather model reforecasts; the other predicts wind from large-scale patterns. Both outperform standard weather models up to 10 d ahead, offering improved accuracy for both individual and compound extreme events.
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