Articles | Volume 21, issue 1
https://doi.org/10.5194/nhess-21-279-2021
https://doi.org/10.5194/nhess-21-279-2021
Research article
 | 
25 Jan 2021
Research article |  | 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, Thomas Röösli, and David N. Bresch

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Cited articles

Aznar-Siguan, G. and Bresch, D. N.: CLIMADA v1: a global weather and climate risk assessment platform, Geosci. Model Dev., 12, 3085–3097, https://doi.org/10.5194/gmd-12-3085-2019, 2019a. 
Aznar-Siguan, G. and Bresch, D. N.: CLIMADA_python documentation, https://climada-python.readthedocs.io/en/stable/ (last access: 17 July 2019), 2019b. 
Bresch, D. N.: Shaping Climate Resilient Development – Economics of Climate Adaptation, in: Climate Change Adaptation Strategies – An Upstream-downstream Perspective, edited by: Salzmann, N., Huggel, C., Nussbaumer, S., and Ziervogel, G., Springer, Cham, 241–254, https://doi.org/10.1007/978-3-319-40773-9_13, 2016. 
Bresch, D. N. and Aznar-Siguan, G.: CLIMADA-python, available at: https://github.com/CLIMADA-project/climada_python (last access: 17 July 2019), 2019a. 
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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.
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