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Journal Article

Global multi-hazard risk assessment in a changing climate


Stalhandske,  Zélie
External Organizations;

Steinmann,  Carmen B.
External Organizations;

Meiler,  Simona
External Organizations;


Sauer,  Inga
Potsdam Institute for Climate Impact Research;


Vogt,  Thomas
Potsdam Institute for Climate Impact Research;

Bresch,  David N.
External Organizations;

Kropf,  Chahan M.
External Organizations;

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Stalhandske, Z., Steinmann, C. B., Meiler, S., Sauer, I., Vogt, T., Bresch, D. N., Kropf, C. M. (2024): Global multi-hazard risk assessment in a changing climate. - Scientific Reports, 14, 5875.

Cite as: https://publications.pik-potsdam.de/pubman/item/item_29861
Natural hazards pose significant risks to people and assets in many regions of the world. Quantifying associated risks is crucial for many applications such as adaptation option appraisal and insurance pricing. However, traditional risk assessment approaches have focused on the impacts of single hazards, ignoring the effects of multi-hazard risks and potentially leading to underestimations or overestimations of risks. In this work, we present a framework for modelling multi-hazard risks globally in a consistent way, considering hazards, exposures, vulnerabilities, and assumptions on recovery. We illustrate the approach using river floods and tropical cyclones impacting people and physical assets on a global scale in a changing climate. To ensure physical consistency, we combine single hazard models that were driven by the same climate model realizations. Our results show that incorporating common physical drivers and recovery considerably alters the multi-hazard risk. We finally demonstrate how our framework can accommodate more than two hazards and integrate diverse assumptions about recovery processes based on a national case study. This framework is implemented in the open-source climate risk assessment platform CLIMADA and can be applied to various hazards and exposures, providing a more comprehensive approach to risk management than conventional methods.