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
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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)
![](https://www.hydrology-and-earth-system-sciences.net/graphic_grey_open_symbol_running_text.jpg)
ED: Publish subject to technical corrections (07 May 2024) by Silvia De Angeli
![](https://www.hydrology-and-earth-system-sciences.net/graphic_grey_open_symbol_running_text.jpg)
ED: Publish subject to technical corrections (07 May 2024) by Thom Bogaard (Executive editor)
![](https://www.hydrology-and-earth-system-sciences.net/graphic_grey_open_symbol_running_text.jpg)
AR by David F. Muñoz on behalf of the Authors (07 May 2024)
Author's response
Manuscript