Extreme weather events, such as those associated with winds and precipitation, result in billions of euros in damages annually. While changes in extreme precipitation due to global warming have already been detected at sub-continental scales, their complex characteristics make them a challenges to asses at more regional scales. Extreme winds present an even greater challenge as the varying dynamical response to global warming exhibits high levels of uncertainty. This situation is complicated by local scale interactions with orography, cities, land-sea contrasts, etc. The dataset presented here attempts to address these challenges and provide information that will allow robust assessment of extreme winds and precipitation (maximum five day precipitation). We achieve this by leveraging a large ensemble (52 members) of high resolution (12 km) EURO-CORDEX simulations. The dataset will be of value, not only to the scientific community, but also practitioners in the public (e.g., municipal planners, government agencies) and private sectors (e.g., insurers and reinsurers).
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Outten et al. (2024) studied this question.
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