Articles | Volume 25, issue 9
https://doi.org/10.5194/nhess-25-3141-2025
https://doi.org/10.5194/nhess-25-3141-2025
Research article
 | 
09 Sep 2025
Research article |  | 09 Sep 2025

Hail events in Germany: rare or frequent natural hazards?

Tabea Wilke, Katharina Lengfeld, and Markus Schultze

Related authors

From Information to Action: Standardizing and Harmonizing Warnings in Germany's Natural Hazards Portal for Effective Public Communication
Bodo Erhardt, Christoph Brendel, Mario Hafer, Michael Haller, Christian Koziar, Katharina Lengfeld, Dinah Kristin Leschzyk, Armin Rauthe-Schöch, Hella Riede, and Ewelina Walawender
Abstr. Int. Cartogr. Assoc., 9, 10, https://doi.org/10.5194/ica-abs-9-10-2025,https://doi.org/10.5194/ica-abs-9-10-2025, 2025
Brief communication: On the extremeness of the July 2021 precipitation event in western Germany
Katharina Lengfeld, Paul Voit, Frank Kaspar, and Maik Heistermann
Nat. Hazards Earth Syst. Sci., 23, 1227–1232, https://doi.org/10.5194/nhess-23-1227-2023,https://doi.org/10.5194/nhess-23-1227-2023, 2023
Short summary

Cited articles

Ackermann, L., Soderholm, J., Protat, A., Whitley, R., Ye, L., and Ridder, N.: Radar and environment-based hail damage estimates using machine learning, Atmos. Meas. Tech., 17, 407–422, https://doi.org/10.5194/amt-17-407-2024, 2024. a
Allen, J. T. and Tippett, M. K.: The characteristics of United States hail reports: 1955–2014, E-Journal of Severe Storms Meteorology, 10, 1–31, 2015. a
Aydin, K., Seliga, T., and Balaji, V.: Remote sensing of hail with a dual linear polarization radar, J. Appl. Meteorol. Clim., 25, 1475–1484, 1986. a
Battaglioli, F., Groenemeijer, P., Púčik, T., Taszarek, M., Ulbrich, U., and Rust, H.: Modeled Multidecadal Trends of Lightning and (Very) Large Hail in Europe and North America (1950–2021), J. Appl. Meteorol. Clim., 62, 1627–1653, 2023. a, b
Brook, J. P., Soderholm, J. S., Protat, A., McGowan, H., and Warren, R. A.: A Radar-Based Hail Climatology of Australia, Mon. Weather Rev., 152, 607–628, https://doi.org/10.1175/MWR-D-23-0130.1, 2024. a, b, c
Download
Short summary
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. In this study we focus on hail frequency, sizes and spatial distribution in Germany based on crowdsourcing and weather radar data. We compare different algorithms based on weather radar data with crowdsourced data and show the annual and diurnal cycle of hail in Germany.
Share
Altmetrics
Final-revised paper
Preprint