Articles | Volume 20, issue 13
https://doi.org/10.5194/bg-20-2671-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.A differentiable, physics-informed ecosystem modeling and learning framework for large-scale inverse problems: demonstration with photosynthesis simulations
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- Final revised paper (published on 06 Jul 2023)
- Preprint (discussion started on 02 Nov 2022)
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 bg-2022-211', Anonymous Referee #1, 14 Dec 2022
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AC2: 'Reply on RC1', Chaopeng Shen, 26 Jan 2023
- AC4: 'Reply on AC2', Chaopeng Shen, 31 Jan 2023
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AC2: 'Reply on RC1', Chaopeng Shen, 26 Jan 2023
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RC2: 'Comment on bg-2022-211', Anonymous Referee #2, 23 Jan 2023
- AC1: 'Reply on RC2', Chaopeng Shen, 23 Jan 2023
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AC3: 'Reply on RC2', Chaopeng Shen, 31 Jan 2023
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RC3: 'Reply on AC3', Anonymous Referee #2, 01 Feb 2023
- AC5: 'Reply on RC3', Chaopeng Shen, 01 Feb 2023
- AC6: 'Reply on RC3', Chaopeng Shen, 08 Feb 2023
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RC3: 'Reply on AC3', Anonymous Referee #2, 01 Feb 2023
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Reconsider after major revisions (13 Feb 2023) by Andreas Ibrom
AR by Chaopeng Shen on behalf of the Authors (17 Mar 2023)
Author's response
Author's tracked changes
Manuscript
ED: Reconsider after major revisions (20 Mar 2023) by Andreas Ibrom
ED: Referee Nomination & Report Request started (23 Mar 2023) by Andreas Ibrom
RR by Anonymous Referee #2 (06 Apr 2023)
ED: Publish subject to technical corrections (10 May 2023) by Andreas Ibrom
AR by Chaopeng Shen on behalf of the Authors (27 May 2023)
Author's response
Manuscript