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A 20-year spatio-temporal analysis of 3D radar-based hail tracks in Germany: trends and regional differences

Mohr, Susanna ORCID iD icon 1,2; Tonn, Mathis 2; Augenstein, Markus 2; Sperka, Christian 2; Kavil Kambrath, Gokul 2; Kunz, Michael ORCID iD icon 1,2
1 Center for Disaster Management and Risk Reduction Technology (CEDIM), Karlsruher Institut für Technologie (KIT)
2 Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO), Karlsruher Institut für Technologie (KIT)

Abstract:

For a long time, the lack of archived radar data in Germany prevented comprehensive, long-term studies of convective storms. However, the recent availability of a 20-year, homogeneous dataset based on 16, and in some years 17, single-polarization C-band radars now allows for consistent, national-scale analyses. This dataset provides a solid foundation for more precise hail statistical assessments and long-term hail frequency estimation, including potential trends. A tracking algorithm (TRACE3D), which was specifically modified to detect severe convective cells with the potential to produce hail, was used to identify 15,577 potential hail tracks (PHTs) during the summer half-year period from 2005 to 2024. Validation against building insurance data shows that the modified TRACE3D algorithm performs reasonably well and can adequately reproduce hail statistics in Germany. The spatial distribution of the PHTs reveals distinct regional patterns, including a north-to-south gradient influenced by the proximity to seas and orographic features. The highest hail frequency occurs south of Stuttgart and over the Bavarian Prealps. Most tracks are shorter than 40 km and last no more than 75 min (both at the 75th percentile). ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000190307
Veröffentlicht am 06.02.2026
Originalveröffentlichung
DOI: 10.3389/fenvs.2026.1736782
Cover der Publikation
Zugehörige Institution(en) am KIT Center for Disaster Management and Risk Reduction Technology (CEDIM)
Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 06.02.2026
Sprache Englisch
Identifikator ISSN: 2296-665X
KITopen-ID: 1000190307
HGF-Programm 12.11.35 (POF IV, LK 01) Tailored information for users and stakeholders
Erschienen in Frontiers in Environmental Science
Verlag Frontiers Media SA
Band 14
Projektinformation CEDIM (HGF, HGF IVF, VH-FZ-015)
Schlagwörter 3D radar data, clustering, Germany, hail, hail tracks, spatio-temporal features, trends
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