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
Download
- 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
-
RC1: 'Comment on gmd-2021-305', Anonymous Referee #1, 22 Feb 2022
- AC1: 'Reply on RC1', Artur Safin, 23 Jun 2022
-
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
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
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