Articles | Volume 24, issue 7
https://doi.org/10.5194/nhess-24-2331-2024
https://doi.org/10.5194/nhess-24-2331-2024
Research article
 | 
12 Jul 2024
Research article |  | 12 Jul 2024

Characterizing hail-prone environments using convection-permitting reanalysis and overshooting top detections over south-central Europe

Antonio Giordani, Michael Kunz, Kristopher M. Bedka, Heinz Jürgen Punge, Tiziana Paccagnella, Valentina Pavan, Ines M. L. Cerenzia, and Silvana Di Sabatino

Viewed

Total article views: 1,379 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
974 340 65 1,379 38 33
  • HTML: 974
  • PDF: 340
  • XML: 65
  • Total: 1,379
  • BibTeX: 38
  • EndNote: 33
Views and downloads (calculated since 20 Nov 2023)
Cumulative views and downloads (calculated since 20 Nov 2023)

Viewed (geographical distribution)

Total article views: 1,379 (including HTML, PDF, and XML) Thereof 1,305 with geography defined and 74 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 13 Dec 2024
Download
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.
Altmetrics
Final-revised paper
Preprint