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.
Research article
| 
25 Jan 2021
Research article |
| 25 Jan 2021
| 25 Jan 2021
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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Cited
18 citations as recorded by crossref.
- Consequence forecasting: A rational framework for predicting the consequences of approaching storms S. Wilkinson et al. 10.1016/j.crm.2022.100412
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- Rapid increase in the risk of heat-related mortality S. Lüthi et al. 10.1038/s41467-023-40599-x
- Assessing climate risk using ensembles: A novel framework for applying and extending open-source climate risk assessment platforms L. Dawkins et al. 10.1016/j.crm.2023.100510
- Return levels of extreme European windstorms, their dependency on the North Atlantic Oscillation, and potential future risks M. Priestley et al. 10.5194/nhess-23-3845-2023
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- Windstorm losses in Europe – What to gain from damage datasets J. Moemken et al. 10.1016/j.wace.2024.100661
- Review article: A European perspective on wind and storm damage – from the meteorological background to index-based approaches to assess impacts D. Gliksman et al. 10.5194/nhess-23-2171-2023
- A generalized framework for designing open-source natural hazard parametric insurance C. Steinmann et al. 10.1007/s10669-023-09934-x
- Antecedent rainfall, wind direction and seasonal effects may amplify the risk of wind-driven power outages in the UK C. Manning et al. 10.1038/s43247-025-02176-6
- 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
- Regional Multihazard Risk-Assessment Method for Overhead Transmission Line Structures Based on Failure Rate and a Bayesian Updating Scheme A. Zekavati et al. 10.1061/(ASCE)CF.1943-5509.0001777
- 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
- Impact Forecasting to Support Emergency Management of Natural Hazards B. Merz et al. 10.1029/2020RG000704
17 citations as recorded by crossref.
- Consequence forecasting: A rational framework for predicting the consequences of approaching storms S. Wilkinson et al. 10.1016/j.crm.2022.100412
- Globally consistent assessment of economic impacts of wildfires in CLIMADA v2.2 S. Lüthi et al. 10.5194/gmd-14-7175-2021
- A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA L. Riedel et al. 10.21105/joss.06755
- Rapid increase in the risk of heat-related mortality S. Lüthi et al. 10.1038/s41467-023-40599-x
- Assessing climate risk using ensembles: A novel framework for applying and extending open-source climate risk assessment platforms L. Dawkins et al. 10.1016/j.crm.2023.100510
- Return levels of extreme European windstorms, their dependency on the North Atlantic Oscillation, and potential future risks M. Priestley et al. 10.5194/nhess-23-3845-2023
- Projections and uncertainties of winter windstorm damage in Europe in a changing climate L. Severino et al. 10.5194/nhess-24-1555-2024
- Assessment of wind–damage relations for Norway using 36 years of daily insurance data A. Jaison et al. 10.5194/nhess-24-1341-2024
- Windstorm losses in Europe – What to gain from damage datasets J. Moemken et al. 10.1016/j.wace.2024.100661
- Review article: A European perspective on wind and storm damage – from the meteorological background to index-based approaches to assess impacts D. Gliksman et al. 10.5194/nhess-23-2171-2023
- A generalized framework for designing open-source natural hazard parametric insurance C. Steinmann et al. 10.1007/s10669-023-09934-x
- Antecedent rainfall, wind direction and seasonal effects may amplify the risk of wind-driven power outages in the UK C. Manning et al. 10.1038/s43247-025-02176-6
- 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
- Regional Multihazard Risk-Assessment Method for Overhead Transmission Line Structures Based on Failure Rate and a Bayesian Updating Scheme A. Zekavati et al. 10.1061/(ASCE)CF.1943-5509.0001777
- 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
1 citations as recorded by crossref.
Latest update: 23 Apr 2025
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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