Using high-resolution global climate models from the PRIMAVERA project to create a European winter windstorm event set

Lockwood, Julia F.; Guentchev, Galina S.; Alabaster, Alexander; Brown, Simon J.; Palin, Erika J.; Roberts, Malcolm J.; Thornton, Hazel E.

doi:https://doi.org/10.5194/nhess-22-3585-2022

Articles | Volume 22, issue 11

https://doi.org/10.5194/nhess-22-3585-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-22-3585-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 11

Research article

|

02 Nov 2022

Research article |

| 02 Nov 2022

Using high-resolution global climate models from the PRIMAVERA project to create a European winter windstorm event set

Julia F. Lockwood, Galina S. Guentchev, Alexander Alabaster, Simon J. Brown, Erika J. Palin, Malcolm J. Roberts, and Hazel E. Thornton

Data sets

PRIMAVERA European winter windstorm event set J. F. Lockwood, G. Guentchev, S. J. Brown, E. J. Palin, M. J. Roberts, and H. E. Thornton https://doi.org/10.5281/zenodo.6492182

Short summary

We describe how we developed a set of 1300 years' worth of European winter windstorm footprints, using a multi-model ensemble of high-resolution global climate models, for use by the insurance industry to analyse windstorm risk. The large amount of data greatly reduces uncertainty on risk estimates compared to using shorter observational data sets and also allows the relationship between windstorm risk and predictable large-scale climate indices to be quantified.