Intra‐Seasonal Variability of Serial Clustering of Severe European Winter Windstorms

Abstract Clustering of severe European winter windstorms causes large economic loss and social‐environmental impacts. We present a detailed analysis of the intra‐seasonal variability of clustering of severe European winter windstorms based on ERA5 reanalysis, with the focus on impact‐relevant footprints of storm systems for the extended winter season (ONDJFM). The magnitude of clustering is quantified using the dispersion statistic on fixed 91‐ and 30‐day timescales, as well as shorter 21‐, 15‐, and 11‐day time‐development windows. Results indicate an increase in the magnitude of clustering in the later part of ONDJFM. Our analysis identifies for the first time that end‐user (including the insurance sector) relevant storm clustering exhibits two intra‐seasonal periods of enhanced clustering, especially in the densely populated regions of western central Europe (e.g., UK, Benelux, Northern France, Germany). Links to important large‐scale modes (North Atlantic Oscillation ‐NAO, Scandinavian Pattern ‐SCA and East‐Atlantic Pattern ‐EA) are analyzed as potential drivers.

Authors

Institutions

Publication Details

Journal
Geophysical Research Letters
Published
2026-09-18
DOI
https://doi.org/10.1029/2025gl120985
Primary Topic
Meteorological Phenomena and Simulations
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Intra‐Seasonal Variability of Serial Clustering of Severe European Winter Windstorms

Gregor C. Leckebusch, Tim Kruschke, Andrew Quinn, S. van der Feltz et al.
Geophysical Research Letters
Meteorological Phenomena and Simulations
article

Intra‐Seasonal Variability of Serial Clustering of Severe European Winter Windstorms

Gregor C. Leckebusch, Tim Kruschke, Andrew Quinn, S. van der Feltz, K. S. Ng, M. Angus, C. Allen
article en

Abstract

Abstract Clustering of severe European winter windstorms causes large economic loss and social‐environmental impacts. We present a detailed analysis of the intra‐seasonal variability of clustering of severe European winter windstorms based on ERA5 reanalysis, with the focus on impact‐relevant footprints of storm systems for the extended winter season (ONDJFM). The magnitude of clustering is quantified using the dispersion statistic on fixed 91‐ and 30‐day timescales, as well as shorter 21‐, 15‐, and 11‐day time‐development windows. Results indicate an increase in the magnitude of clustering in the later part of ONDJFM. Our analysis identifies for the first time that end‐user (including the insurance sector) relevant storm clustering exhibits two intra‐seasonal periods of enhanced clustering, especially in the densely populated regions of western central Europe (e.g., UK, Benelux, Northern France, Germany). Links to important large‐scale modes (North Atlantic Oscillation ‐NAO, Scandinavian Pattern ‐SCA and East‐Atlantic Pattern ‐EA) are analyzed as potential drivers.

Geophysical Research LettersVol. 53(18)
Met Office (GB), Federal Maritime and Hydrographic Agency of Germany (DE), Gallagher (United States) (US), University of Birmingham (GB)
University of Birmingham
Climate action
Openalex Percentile: Top 15%
Meteorological Phenomena and Simulations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Intra‐Seasonal Variability of Serial Clustering of Severe European Winter Windstorms — Gregor C. Leckebusch, Tim Kruschke, et al. · Geophysical Research Letters (2026) | TGRS Research Map | TGRS