Articles | Volume 24, issue 7
https://doi.org/10.5194/nhess-24-2331-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-24-2331-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Jul 2024
Research article |
| 12 Jul 2024
| 12 Jul 2024
Characterizing hail-prone environments using convection-permitting reanalysis and overshooting top detections over south-central Europe
Antonio Giordani
CORRESPONDING AUTHOR
Department of Physics and Astronomy (DIFA) “Augusto Righi”, University of Bologna, Bologna, Italy
ARPAE-SIMC Emilia Romagna, Bologna, Italy
Michael Kunz
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Kristopher M. Bedka
NASA Langley Research Center, Science Directorate, Climate Science Branch, Hampton, VA, USA
Heinz Jürgen Punge
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Tiziana Paccagnella
ARPAE-SIMC Emilia Romagna, Bologna, Italy
Valentina Pavan
ARPAE-SIMC Emilia Romagna, Bologna, Italy
Ines M. L. Cerenzia
ARPAE-SIMC Emilia Romagna, Bologna, Italy
Silvana Di Sabatino
Department of Physics and Astronomy (DIFA) “Augusto Righi”, University of Bologna, Bologna, Italy
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Short summary
To improve the challenging representation of hazardous hailstorms, a proxy for hail frequency based on satellite detections, convective parameters from high-resolution reanalysis, and crowd-sourced reports is tested and presented. Hail likelihood peaks in mid-summer at 15:00 UTC over northern Italy and shows improved agreement with observations compared to previous estimates. By separating ambient signatures based on hail severity, enhanced appropriateness for large-hail occurrence is found.
To improve the challenging representation of hazardous hailstorms, a proxy for hail frequency...
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