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Climatology of severe hail potential in Europe based on a convection-permitting simulation

Lookup NU author(s): Dr Abdullah KahramanORCiD, Professor Hayley Fowler

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© Crown and The Author(s) 2024 2024.We present a new approach to identify severe hailstorms in a convection-permitting climate model, and build a climatology of severe hail potential in Europe using an ingredients-based approach based on a 20-year long hindcast simulation. Severe hail in Europe occurs mostly in southern regions (up to 40 times a year per 10,000 km2 around Northern Italy), and from May to August. It peaks from afternoon to evening hours on land, whilst sea areas are prone to hail at any time of the day. The Mediterranean Sea experiences severe hailstorms mostly in autumn: the central Mediterranean has the highest frequency among all regions studied, and may be considered as an unknown alley for hailstorms in Europe. Results derived from the high-resolution model are in very good agreement with existing hail climatologies constructed from observations, including the fine scale spatial variation. We conclude that our approach provides a reliable proxy for studying future changes in severe hail in convection-permitting simulations.


Publication metadata

Author(s): Kahraman A, Kendon EJ, Fowler HJ

Publication type: Article

Publication status: Published

Journal: Climate Dynamics

Year: 2024

Pages: epub ahead of print

Online publication date: 18/05/2024

Acceptance date: 31/03/2024

Date deposited: 28/05/2024

ISSN (print): 0930-7575

ISSN (electronic): 1432-0894

Publisher: Springer Science and Business Media Deutschland GmbH

URL: https://doi.org/10.1007/s00382-024-07227-w

DOI: 10.1007/s00382-024-07227-w


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Funding

Funder referenceFunder name
ERC-2013-CoG-617329
European Research Counci
FUTURE-STORMS project
INTENSE
NE/R01079X/1Natural Environment Research Council (NERC)
Royal Society
WM140025Royal Society
Wolfson Foundation

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