Articles | Volume 15, issue 20
https://doi.org/10.5194/gmd-15-7715-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.Special issue:
A Bayesian data assimilation framework for lake 3D hydrodynamic models with a physics-preserving particle filtering method using SPUX-MITgcm v1
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- Final revised paper (published on 21 Oct 2022)
- Supplement to the final revised paper
- Preprint (discussion started on 12 Nov 2021)
- Supplement to the preprint
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
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RC1: 'Comment on gmd-2021-305', Anonymous Referee #1, 22 Feb 2022
- AC1: 'Reply on RC1', Artur Safin, 23 Jun 2022
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RC2: 'Comment on gmd-2021-305', Anonymous Referee #2, 24 Mar 2022
- AC2: 'Reply on RC2', Artur Safin, 23 Jun 2022
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Artur Safin on behalf of the Authors (30 Jun 2022)
Author's response
Author's tracked changes
Manuscript
ED: Referee Nomination & Report Request started (16 Jul 2022) by Wolfgang Kurtz
RR by Anonymous Referee #1 (28 Jul 2022)
ED: Reconsider after major revisions (10 Aug 2022) by Wolfgang Kurtz
AR by Artur Safin on behalf of the Authors (10 Sep 2022)
Author's response
Manuscript
EF by Polina Shvedko (13 Sep 2022)
Author's tracked changes
ED: Referee Nomination & Report Request started (16 Sep 2022) by Wolfgang Kurtz
RR by Anonymous Referee #1 (18 Sep 2022)
ED: Publish as is (22 Sep 2022) by Wolfgang Kurtz
AR by Artur Safin on behalf of the Authors (24 Sep 2022)