Hail events in Germany: rare or frequent natural hazards?

Abstract. Hail represents a natural hazard in Germany and has potentially substantial economic and environmental impacts, but it often receives less attention than other weather phenomena. This, combined with the very local nature of hail, results in a lack of observations and further analysis. This study investigates hail characteristics across Germany using crowdsourced observations since 2000 and weather radar data from a 6-year period. A study using 3D printed hailstones provided insights into human perception of hail sizes, revealing that collective crowd estimates closely approximate actual measurements, though individual estimations can vary significantly. By deriving hail proxies out of radar data we analyzed hail frequency, spatial distribution and size variations. Our research reveals a gradient in hail occurrence, with southern Germany experiencing substantially higher hail probabilities compared to northern regions. Mountainous areas demonstrated increased hail frequency relative to lower-elevation territories. June emerged as the peak month for hail events, characterized by both highest frequency and largest hail sizes. This research contributes to a better understanding of hail as a natural hazard in Germany, providing valuable insights for risk assessment, insurance purposes and public awareness.

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Publication Details

Journal
Natural hazards and earth system sciences
Published
2025-09-09
DOI
https://doi.org/10.5194/nhess-25-3141-2025
Citations
1
Primary Topic
Meteorological Phenomena and Simulations
Type
article
Field-Weighted Citation Impact
1.30
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article

Hail events in Germany: rare or frequent natural hazards?

Markus Schultze, Katharina Lengfeld, Tabea Wilke
1 citations
Natural hazards and earth system sciences
Meteorological Phenomena and Simulations
1.30
article

Hail events in Germany: rare or frequent natural hazards?

Markus Schultze, Katharina Lengfeld, Tabea Wilke
article en
1 citations

Abstract

Abstract. Hail represents a natural hazard in Germany and has potentially substantial economic and environmental impacts, but it often receives less attention than other weather phenomena. This, combined with the very local nature of hail, results in a lack of observations and further analysis. This study investigates hail characteristics across Germany using crowdsourced observations since 2000 and weather radar data from a 6-year period. A study using 3D printed hailstones provided insights into human perception of hail sizes, revealing that collective crowd estimates closely approximate actual measurements, though individual estimations can vary significantly. By deriving hail proxies out of radar data we analyzed hail frequency, spatial distribution and size variations. Our research reveals a gradient in hail occurrence, with southern Germany experiencing substantially higher hail probabilities compared to northern regions. Mountainous areas demonstrated increased hail frequency relative to lower-elevation territories. June emerged as the peak month for hail events, characterized by both highest frequency and largest hail sizes. This research contributes to a better understanding of hail as a natural hazard in Germany, providing valuable insights for risk assessment, insurance purposes and public awareness.

Natural hazards and earth system sciencesVol. 25(9)
Deutscher Wetterdienst (DE)
Openalex Percentile: Top 18%
Meteorological Phenomena and Simulations
1.30
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