Articles | Volume 17, issue 24
https://doi.org/10.5194/amt-17-7109-2024
https://doi.org/10.5194/amt-17-7109-2024
Research article
 | 
19 Dec 2024
Research article |  | 19 Dec 2024

IceDetectNet: a rotated object detection algorithm for classifying components of aggregated ice crystals with a multi-label classification scheme

Huiying Zhang, Xia Li, Fabiola Ramelli, Robert O. David, Julie Pasquier, and Jan Henneberger

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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-2023-2770', Anonymous Referee #1, 08 Mar 2024
    • AC2: 'Reply on RC1', Huiying Zhang, 06 May 2024
  • RC2: 'Comment on egusphere-2023-2770', Anonymous Referee #2, 26 Mar 2024
    • AC1: 'Reply on RC2', Huiying Zhang, 06 May 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Huiying Zhang on behalf of the Authors (06 May 2024)  Author's response   Author's tracked changes 
EF by Sarah Buchmann (08 May 2024)  Manuscript 
ED: Referee Nomination & Report Request started (13 May 2024) by Linlu Mei
RR by Anonymous Referee #1 (29 May 2024)
RR by Anonymous Referee #2 (16 Jun 2024)
ED: Reconsider after major revisions (30 Jun 2024) by Linlu Mei
AR by Huiying Zhang on behalf of the Authors (19 Jul 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (02 Aug 2024) by Linlu Mei
RR by Anonymous Referee #3 (14 Sep 2024)
ED: Publish subject to minor revisions (review by editor) (20 Sep 2024) by Linlu Mei
AR by Huiying Zhang on behalf of the Authors (03 Oct 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (23 Oct 2024) by Linlu Mei
AR by Huiying Zhang on behalf of the Authors (25 Oct 2024)
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Short summary
Our innovative IceDetectNet algorithm classifies each part of aggregated ice crystals, considering both their basic shape and physical processes. Trained on ice crystal images from the Arctic taken by a holographic camera, it correctly classifies over 92 % of the ice crystals. These more detailed insights into the components of aggregated ice crystals have the potential to improve our estimates of microphysical properties such as riming rate, aggregation rate, and ice water content.