Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 17, issue 24
Articles | Volume 17, issue 24
https://doi.org/10.5194/amt-17-7143-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-7143-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 24
Research article
 | 
20 Dec 2024
Research article |  | 20 Dec 2024

Double-moment normalization of hail size number distributions over Switzerland

Alfonso Ferrone, Jérôme Kopp, Martin Lainer, Marco Gabella, Urs Germann, and Alexis Berne

Viewed

Total article views: 862 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
634 185 43 862 31 34
  • HTML: 634
  • PDF: 185
  • XML: 43
  • Total: 862
  • BibTeX: 31
  • EndNote: 34
Views and downloads (calculated since 06 Mar 2024)
Cumulative views and downloads (calculated since 06 Mar 2024)

Viewed (geographical distribution)

Total article views: 862 (including HTML, PDF, and XML) Thereof 854 with geography defined and 8 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 23 Apr 2025
Download
Short summary
Estimates of hail size have been collected by a network of hail sensors, installed in three regions of Switzerland, since September 2018. In this study, we use a technique called “double-moment normalization” to model the distribution of diameter sizes. The parameters of the method have been defined over 70 % of the dataset and tested over the remaining 30 %. An independent distribution of hail sizes, collected by a drone, has also been used to evaluate the method.
Read more
Share