Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 16, issue 3
Articles | Volume 16, issue 3
https://doi.org/10.5194/amt-16-695-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-16-695-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 3
Research article
 | 
07 Feb 2023
Research article |  | 07 Feb 2023

Automating the analysis of hailstone layers

Joshua S. Soderholm and Matthew R. Kumjian

Viewed

Total article views: 1,352 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
977 310 65 1,352 45 43
  • HTML: 977
  • PDF: 310
  • XML: 65
  • Total: 1,352
  • BibTeX: 45
  • EndNote: 43
Views and downloads (calculated since 02 Sep 2022)
Cumulative views and downloads (calculated since 02 Sep 2022)

Viewed (geographical distribution)

Total article views: 1,352 (including HTML, PDF, and XML) Thereof 1,354 with geography defined and -2 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
Short summary
Hailstones often exhibit opaque and clear ice layers that have an onion-like appearance. These layers are record of the conditions during growth and can be simulated by hail growth models. A new technique for automating the measurement of these layers from hail cross sections is demonstrated. This technique is applied to a collection of hailstones from Melbourne, Australia, to understand their growth evolution, and a first look at evaluating a hail growth model is demonstrated.
Read more