Articles | Volume 25, issue 8
https://doi.org/10.5194/nhess-25-2885-2025
https://doi.org/10.5194/nhess-25-2885-2025
Research article
 | Highlight paper
 | 
27 Aug 2025
Research article | Highlight paper |  | 27 Aug 2025

Impact-based temporal clustering of multiple meteorological hazard types in southwestern Germany

Katharina Küpfer, Alexandre Tuel, and Michael Kunz

Model code and software

Code for Küpfer et al. 2025 (NHESS): Impact-based temporal clustering of multiple meteorological hazard types in southwestern Germany Katharina Küpfer https://doi.org/10.35097/bkbwu1c6cbrqjsq6

Download
Executive editor
This study uses insurance loss data to examine how different types of extreme weather—such as floods, heavy rain, windstorms, and hail—occur together. It finds that multiple hazards often cluster seasonally, leading to higher losses than when events happen alone. The results highlight the need to assess multiple weather extremes jointly to better understand and manage risk.
Short summary
Using loss data, we assess when and how single and multiple types of meteorological extremes (river floods and heavy rainfall events, windstorms and convective gusts, and hail) are related. We find that the combination of several types of hazards clusters robustly on a seasonal scale, whereas only some single hazard types occur in clusters. This can be associated with higher losses compared to isolated events. We argue for the relevance of jointly considering multiple types of hazards.
Share
Altmetrics
Final-revised paper
Preprint