Articles | Volume 19, issue 2
https://doi.org/10.5194/tc-19-645-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.Physics-aware machine learning for glacier ice thickness estimation: a case study for Svalbard
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- Final revised paper (published on 07 Feb 2025)
- Preprint (discussion started on 14 Jun 2024)
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
-
RC1: 'Comment on egusphere-2024-1732', Guillaume Jouvet, 09 Jul 2024
- AC1: 'Reply on RC1', Viola Steidl, 28 Aug 2024
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RC2: 'Comment on egusphere-2024-1732', Anonymous Referee #2, 24 Jul 2024
- AC2: 'Reply on RC2', Viola Steidl, 28 Aug 2024
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Reconsider after major revisions (further review by editor and referees) (02 Sep 2024) by Ben Marzeion

AR by Viola Steidl on behalf of the Authors (30 Sep 2024)
Author's response
Author's tracked changes
Manuscript
ED: Referee Nomination & Report Request started (22 Oct 2024) by Ben Marzeion
RR by Anonymous Referee #3 (05 Nov 2024)

RR by Anonymous Referee #2 (06 Nov 2024)

RR by Anonymous Referee #4 (08 Nov 2024)

ED: Publish subject to minor revisions (review by editor) (08 Nov 2024) by Ben Marzeion

AR by Viola Steidl on behalf of the Authors (18 Nov 2024)
Author's response
Author's tracked changes
Manuscript
ED: Publish as is (11 Dec 2024) by Ben Marzeion

AR by Viola Steidl on behalf of the Authors (13 Dec 2024)
Manuscript