Articles | Volume 25, issue 10
https://doi.org/10.5194/nhess-25-3693-2025
https://doi.org/10.5194/nhess-25-3693-2025
Research article
 | Highlight paper
 | 
01 Oct 2025
Research article | Highlight paper |  | 01 Oct 2025

Insights from hailstorm track analysis in European climate change simulations

Killian P. Brennan, Iris Thurnherr, Michael Sprenger, and Heini Wernli

Related authors

Saharan dust linked to European hail events
Killian P. Brennan and Lena Wilhelm
Atmos. Chem. Phys., 25, 10823–10836, https://doi.org/10.5194/acp-25-10823-2025,https://doi.org/10.5194/acp-25-10823-2025, 2025
Short summary
An object-based and Lagrangian view on an intense hailstorm day in Switzerland as represented in COSMO-1E ensemble hindcast simulations
Killian P. Brennan, Michael Sprenger, André Walser, Marco Arpagaus, and Heini Wernli
Weather Clim. Dynam., 6, 645–668, https://doi.org/10.5194/wcd-6-645-2025,https://doi.org/10.5194/wcd-6-645-2025, 2025
Short summary
Drone-based photogrammetry combined with deep learning to estimate hail size distributions and melting of hail on the ground
Martin Lainer, Killian P. Brennan, Alessandro Hering, Jérôme Kopp, Samuel Monhart, Daniel Wolfensberger, and Urs Germann
Atmos. Meas. Tech., 17, 2539–2557, https://doi.org/10.5194/amt-17-2539-2024,https://doi.org/10.5194/amt-17-2539-2024, 2024
Short summary

Cited articles

Adams-Selin, R.: The Quasi-Stochastic Nature of Hail Growth: Hail Trajectory Clusters in Simulations of the Kingfisher, Oklahoma, Hailstorm, Mon. Weather Rev., 153, 67–87, https://doi.org/10.1175/MWR-D-23-0233.1, 2025. a
Adams-Selin, R. D. and Ziegler, C. L.: Forecasting hail using a one-dimensional hail growth model within WRF, Mon. Weather Rev., 144, 4919–4939, https://doi.org/10.1175/MWR-D-16-0027.1, 2016. a, b, c, d
Adlerman, E. J. and Droegemeier, K. K.: The sensitivity of numerically simulated cyclic mesocyclogenesis to variations in model physical and computational parameters, Mon. Weather Rev., 130, 2671–2691, https://doi.org/10.1175/1520-0493(2002)130<2671:TSONSC>2.0.CO;2, 2002. a
Arnould, G., Montmerle, T., Rottner, L., and Moisselin, J.-M.: An object-based method to study the life cycle of mesoscale convective systems and their environment from cloud-resolving AROME-France simulations, Q. J. Roy. Meteor. Soc., 1–19, https://doi.org/10.1002/qj.4919, 2025. a
Ashley, W. S., Haberlie, A. M., and Gensini, V. A.: The future of supercells in the United States, B. Am. Meteor. Soc., 104, E1–E21, https://doi.org/10.1175/BAMS-D-22-0027.1, 2023. a, b
Download
Executive editor
This study provides new insights into hailstorm diagnosis from future European climate simulations.
Short summary
Hailstorms can cause severe damage to homes, crops, and infrastructure. Using high-resolution climate simulations, we tracked thousands of hailstorms across Europe to study future changes. Large hail will become more frequent, hail-covered areas will expand, and instances of extreme hail combined with heavy rain will double. These shifts could increase risks for communities and businesses, highlighting the need for better preparedness and adaptation.
Share
Altmetrics
Final-revised paper
Preprint