Articles | Volume 24, issue 4
https://doi.org/10.5194/nhess-24-1341-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-24-1341-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
23 Apr 2024
Research article |
| 23 Apr 2024
| 23 Apr 2024
Assessment of wind–damage relations for Norway using 36 years of daily insurance data
Geophysical Institute, University of Bergen, Bergen, Norway
Bjerknes Centre for Climate Research, Bergen, Norway
Asgeir Sorteberg
Geophysical Institute, University of Bergen, Bergen, Norway
Bjerknes Centre for Climate Research, Bergen, Norway
Clio Michel
Norwegian Meteorological Institute, Bergen, Norway
Øyvind Breivik
Geophysical Institute, University of Bergen, Bergen, Norway
Norwegian Meteorological Institute, Bergen, Norway
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The benefits of establishing wind storm damage relationships are twofold: 1) forecasting losses and 2) assessment of the damages post event. The present study uses the daily insurance losses and wind speeds to fit storm damage functions at the municipality level of Norway. The results show that the damage functions accurately estimate losses associated with extreme damaging events and can reconstruct their spatial patterns in the complex terrain of Norway.
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The benefits of establishing wind storm damage relationships are twofold: 1) forecasting losses and 2) assessment of the damages post event. The present study uses the daily insurance losses and wind speeds to fit storm damage functions at the municipality level of Norway. The results show that the damage functions accurately estimate losses associated with extreme damaging events and can reconstruct their spatial patterns in the complex terrain of Norway.
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Short summary
The present study uses daily insurance losses and wind speeds to fit storm damage functions at the municipality level of Norway. The results show that the damage functions accurately estimate losses associated with extreme damaging events and can reconstruct their spatial patterns. However, there is no single damage function that performs better than another. A newly devised damage–no-damage classifier shows some skill in predicting extreme damaging events.
The present study uses daily insurance losses and wind speeds to fit storm damage functions at...
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