Articles | Volume 17, issue 8
https://doi.org/10.5194/amt-17-2539-2024
https://doi.org/10.5194/amt-17-2539-2024
Research article
 | 
02 May 2024
Research article |  | 02 May 2024

Drone-based photogrammetry combined with deep learning to estimate hail size distributions and melting of hail on the ground

Martin Lainer, Killian P. Brennan, Alessandro Hering, Jérôme Kopp, Samuel Monhart, Daniel Wolfensberger, and Urs Germann

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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 amt-2023-89', Anonymous Referee #1, 07 Aug 2023
    • AC2: 'Reply on RC1', Martin Lainer, 19 Oct 2023
  • RC2: 'Comment on amt-2023-89', Anonymous Referee #2, 31 Aug 2023
    • AC1: 'Reply on RC2', Martin Lainer, 19 Oct 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Martin Lainer on behalf of the Authors (19 Oct 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (20 Oct 2023) by Pavlos Kollias
RR by Anonymous Referee #2 (23 Nov 2023)
RR by Anonymous Referee #3 (22 Jan 2024)
RR by Anonymous Referee #4 (22 Jan 2024)
ED: Publish subject to minor revisions (review by editor) (08 Feb 2024) by Pavlos Kollias
AR by Martin Lainer on behalf of the Authors (22 Feb 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (02 Mar 2024) by Pavlos Kollias
AR by Martin Lainer on behalf of the Authors (08 Mar 2024)
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Short summary
This study uses deep learning (the Mask R-CNN model) on drone-based photogrammetric data of hail on the ground to estimate hail size distributions (HSDs). Traditional hail sensors' limited areas complicate the full HSD retrieval. The HSD of a supercell event on 20 June 2021 is retrieved and contains > 18 000 hailstones. The HSD is compared to automatic hail sensor measurements and those of weather-radar-based MESHS. Investigations into ground hail melting are performed by five drone flights.