Articles | Volume 21, issue 1
https://doi.org/10.5194/nhess-21-279-2021
© Author(s) 2021. 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-21-279-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Comparing an insurer's perspective on building damages with modelled damages from pan-European winter windstorm event sets: a case study from Zurich, Switzerland
Christoph Welker
GVZ Gebäudeversicherung Kanton Zürich, Zurich, Switzerland
Thomas Röösli
CORRESPONDING AUTHOR
Institute for Environmental Decisions, ETH Zurich, Zurich,
Switzerland
Federal Office of Meteorology and Climatology MeteoSwiss, Zurich,
Switzerland
David N. Bresch
Institute for Environmental Decisions, ETH Zurich, Zurich,
Switzerland
Federal Office of Meteorology and Climatology MeteoSwiss, Zurich,
Switzerland
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- Assessment of wind–damage relations for Norway using 36 years of daily insurance data A. Jaison et al. 10.5194/nhess-24-1341-2024
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- Using high-resolution global climate models from the PRIMAVERA project to create a European winter windstorm event set J. Lockwood et al. 10.5194/nhess-22-3585-2022
- Towards operational impact forecasting of building damage from winter windstorms in Switzerland T. Röösli et al. 10.1002/met.2035
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- Advances in numerical weather prediction, data science, and open‐source software herald a paradigm shift in catastrophe risk modeling and insurance underwriting H. Steptoe et al. 10.1111/rmir.12199
- Population, land use and economic exposure estimates for Europe at 100 m resolution from 1870 to 2020 D. Paprotny & M. Mengel 10.1038/s41597-023-02282-0
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Latest update: 06 Nov 2024
Short summary
How representative are local building insurers' claims to assess winter windstorm risk? In our case study of Zurich, we use a risk model for windstorm building damages and compare three different inputs: insurance claims and historical and probabilistic windstorm datasets. We find that long-term risk is more robustly assessed based on windstorm datasets than on claims data only. Our open-access method allows European building insurers to complement their risk assessment with modelling results.
How representative are local building insurers' claims to assess winter windstorm risk? In our...
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