Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 22, issue 11
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

Viewed

Total article views: 3,435 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,210 1,144 81 3,435 94 146
  • HTML: 2,210
  • PDF: 1,144
  • XML: 81
  • Total: 3,435
  • BibTeX: 94
  • EndNote: 146
Views and downloads (calculated since 25 Jan 2022)
Cumulative views and downloads (calculated since 25 Jan 2022)

Viewed (geographical distribution)

Total article views: 3,435 (including HTML, PDF, and XML) Thereof 3,194 with geography defined and 241 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Nov 2025
Download
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.
Read more
Share
Altmetrics
Final-revised paper
Preprint