Articles | Volume 16, issue 3
https://doi.org/10.5194/amt-16-695-2023
https://doi.org/10.5194/amt-16-695-2023
Research article
 | 
07 Feb 2023
Research article |  | 07 Feb 2023

Automating the analysis of hailstone layers

Joshua S. Soderholm and Matthew R. Kumjian

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-675', Andrew Heymsfield, 23 Sep 2022
    • AC1: 'Reply on RC1', Joshua Soderholm, 07 Dec 2022
  • RC2: 'Comment on egusphere-2022-675', Jacob Carlin, 13 Oct 2022
    • AC2: 'Reply on RC2', Joshua Soderholm, 07 Dec 2022
  • AC3: 'Comment on egusphere-2022-675', Joshua Soderholm, 15 Dec 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Joshua Soderholm on behalf of the Authors (08 Dec 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (20 Dec 2022) by Rebecca Washenfelder
AR by Joshua Soderholm on behalf of the Authors (31 Dec 2022)
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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.