Articles | Volume 21, issue 1
https://doi.org/10.5194/nhess-21-393-2021
https://doi.org/10.5194/nhess-21-393-2021
Research article
 | 
29 Jan 2021
Research article |  | 29 Jan 2021

Regional tropical cyclone impact functions for globally consistent risk assessments

Samuel Eberenz, Samuel Lüthi, and David N. Bresch

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Cited articles

Abon, C. C., David, C. P. C., and Pellejera, N. E. B.: Reconstructing the Tropical Storm Ketsana flood event in Marikina River, Philippines, Hydrol. Earth Syst. Sci., 15, 1283–1289, https://doi.org/10.5194/hess-15-1283-2011, 2011. 
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, 2019. 
Aznar-Siguan, G. and Bresch, D. N.: CLIMADA_python documentation, available at: https://climada-python.readthedocs.io/en/stable/, last access: 26 January 2021. 
Aznar-Siguan, G., Bresch, D. N., Eberenz, S. and Röösli, T.: CLIMADA-papers repository, GitHub, (202005), available at: https://github.com/CLIMADA-project/climada_papers, last access: 9 July 2020. 
Bagtasa, G.: Contribution of Tropical Cyclones to Rainfall in the Philippines, J. Climate, 30, 3621–3633, https://doi.org/10.1175/JCLI-D-16-0150.1, 2017. 
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Asset damage caused by tropical cyclones is often computed based on impact functions mapping wind speed to damage. However, a lack of regional impact functions can lead to a substantial bias in tropical cyclone risk estimates. Here, we present regionally calibrated impact functions, as well as global risk estimates. Our results are relevant for researchers, model developers, and practitioners in the context of global risk assessments, climate change adaptation, and physical risk disclosure.
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