Projected changes in European hail damage risk to buildings: Insights from 3 °C Pseudo Global Warming simulations with a km-scale regional climate model

Severe hailstorms are among the most destructive weather phenomena in Europe, with the recent hail seasons of 2022 and 2023 both causing record losses above 5 billion euros. This highlights the importance of assessing hail risk in a warming climate. We approach this question by leveraging 11-year convection-resolving climate simulations using the COSMO model with the hail growth module HAILCAST. Comparing a 3 °C warming scenario to present-day simulations, we observe a generally increasing trend in expected hail damage to buildings, with a 42% increase over the calibration region in Switzerland and pronounced spatial variability across Europe. Assuming a building vulnerability as calibrated over Switzerland, 24 of 28 countries show an increasing potential for hail damage, despite only 11 with increasing overall hail frequency. Given the concentration of hail damages into few events with limited spatial extent, we observe a large variability in modelled hail damage based on sampling uncertainty within the 11-year simulations, which locally mostly exceeds the change signal. Larger spatial aggregation increases the confidence in the climate change signal, with the overall damage potential over Europe increasing by 25%–42% in the 3 °C warming scenario. On top of the change signal, we provide a spatially resampled hail event set for explicit risk assessments and a new technique to calibrate impact functions for climate simulations to observed data.

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Publication Details

Journal
Climate Services
Published
2025-12-05
DOI
https://doi.org/10.1016/j.cliser.2025.100630
Primary Topic
Meteorological Phenomena and Simulations
Type
article
Field-Weighted Citation Impact
2.60
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article

Projected changes in European hail damage risk to buildings: Insights from 3 °C Pseudo Global Warming simulations with a km-scale regional climate model

Timo Schmid, Valentin Gebhart, David N. Bresch
Climate Services
Meteorological Phenomena and Simulations
2.60
article

Projected changes in European hail damage risk to buildings: Insights from 3 °C Pseudo Global Warming simulations with a km-scale regional climate model

Timo Schmid, Valentin Gebhart, David N. Bresch
article en

Abstract

Severe hailstorms are among the most destructive weather phenomena in Europe, with the recent hail seasons of 2022 and 2023 both causing record losses above 5 billion euros. This highlights the importance of assessing hail risk in a warming climate. We approach this question by leveraging 11-year convection-resolving climate simulations using the COSMO model with the hail growth module HAILCAST. Comparing a 3 °C warming scenario to present-day simulations, we observe a generally increasing trend in expected hail damage to buildings, with a 42% increase over the calibration region in Switzerland and pronounced spatial variability across Europe. Assuming a building vulnerability as calibrated over Switzerland, 24 of 28 countries show an increasing potential for hail damage, despite only 11 with increasing overall hail frequency. Given the concentration of hail damages into few events with limited spatial extent, we observe a large variability in modelled hail damage based on sampling uncertainty within the 11-year simulations, which locally mostly exceeds the change signal. Larger spatial aggregation increases the confidence in the climate change signal, with the overall damage potential over Europe increasing by 25%–42% in the 3 °C warming scenario. On top of the change signal, we provide a spatially resampled hail event set for explicit risk assessments and a new technique to calibrate impact functions for climate simulations to observed data.

Climate ServicesVol. 41
Federal Office of Meteorology and Climatology MeteoSwiss (CH), ETH Zurich (CH)
Openalex Percentile: Top 9%
Meteorological Phenomena and Simulations
2.60
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