Articles | Volume 19, issue 4
https://doi.org/10.5194/gmd-19-1559-2026
https://doi.org/10.5194/gmd-19-1559-2026
Development and technical paper
 | 
24 Feb 2026
Development and technical paper |  | 24 Feb 2026

Development of an under-ice river discharge forecasting system in Delft-Flood Early Warning System (Delft-FEWS) for the Chaudière River based on a coupled hydrological-hydrodynamic modelling approach

Kh Rahat Usman, Rodolfo Alvarado Montero, Tadros Ghobrial, François Anctil, and Arnejan van Loenen

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2024-116', Nadia Kovachis, 23 Sep 2024
    • AC1: 'Reply on RC1', Kh Rahat Usman, 24 Sep 2024
    • AC2: 'Reply on RC1', Kh Rahat Usman, 19 Feb 2025
  • RC2: 'Comment on gmd-2024-116', Anonymous Referee #2, 14 Jan 2025
    • AC3: 'Reply on RC2', Kh Rahat Usman, 19 Feb 2025

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Kh Rahat Usman on behalf of the Authors (11 Mar 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (08 May 2025) by Andy Wickert
RR by Anonymous Referee #1 (02 Jun 2025)
RR by Jessica Marggraf (16 Jul 2025)
ED: Reconsider after major revisions (01 Aug 2025) by Andy Wickert
AR by Kh Rahat Usman on behalf of the Authors (07 Sep 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (03 Nov 2025) by Andy Wickert
AR by Kh Rahat Usman on behalf of the Authors (11 Nov 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (30 Nov 2025) by Andy Wickert
AR by Kh Rahat Usman on behalf of the Authors (03 Dec 2025)  Author's response   Manuscript 
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Short summary
Rivers in cold climate regions such as Canada undergo freeze up during winters which makes the estimation forecasting of under-ice discharge very challenging and uncertain since there is no reliable method other than direct measurements. The current study explored the potential of deploying a coupled modelling framework for the estimation and forecasting of this parameter. The framework showed promising potential in addressing the challenge of estimating and forecasting the under-ice discharge.
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