Articles | Volume 28, issue 11
https://doi.org/10.5194/hess-28-2531-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.Quantifying cascading uncertainty in compound flood modeling with linked process-based and machine learning models
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- Final revised paper (published on 14 Jun 2024)
- Supplement to the final revised paper
- Preprint (discussion started on 30 Jan 2024)
- 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 hess-2024-9', Anonymous Referee #1, 12 Feb 2024
- AC1: 'Reply on RC1', David F. Muñoz, 07 Mar 2024
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RC2: 'Comment on hess-2024-9', Anonymous Referee #2, 03 Mar 2024
- AC2: 'Reply on RC2', David F. Muñoz, 07 Mar 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) (03 Apr 2024) by Silvia De Angeli
AR by David F. Muñoz on behalf of the Authors (03 Apr 2024)
Author's response
Author's tracked changes
Manuscript
ED: Referee Nomination & Report Request started (11 Apr 2024) by Silvia De Angeli
RR by Anonymous Referee #2 (06 May 2024)
ED: Publish subject to technical corrections (07 May 2024) by Silvia De Angeli
ED: Publish subject to technical corrections (07 May 2024) by Thom Bogaard (Executive editor)
AR by David F. Muñoz on behalf of the Authors (07 May 2024)
Author's response
Manuscript