Articles | Volume 18, issue 3
https://doi.org/10.5194/gmd-18-803-2025
https://doi.org/10.5194/gmd-18-803-2025
Model description paper
 | 
12 Feb 2025
Model description paper |  | 12 Feb 2025

Introducing Iterative Model Calibration (IMC) v1.0: a generalizable framework for numerical model calibration with a CAESAR-Lisflood case study

Chayan Banerjee, Kien Nguyen, Clinton Fookes, Gregory Hancock, and Thomas Coulthard

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CEC1: 'Comment on egusphere-2024-1191', Juan Antonio Añel, 15 Jun 2024
    • AC1: 'Reply on CEC1', Kien Nguyen Thanh, 20 Jun 2024
      • CEC2: 'Not solved - compliance with the code policy of the journal', Juan Antonio Añel, 15 Jul 2024
        • CC3: 'Reply on CEC2', Tom Coulthard, 15 Jul 2024
          • CC4: 'Reply on CC3', Tom Coulthard, 16 Jul 2024
  • RC1: 'Comment on egusphere-2024-1191', Jorge Ramirez, 24 Jun 2024
    • AC2: 'Reply on RC1', Kien Nguyen Thanh, 06 Jul 2024
  • RC2: 'Comment on egusphere-2024-1191', Anonymous Referee #2, 06 Jul 2024
    • CC1: 'Reply on RC2', Chayan Banerjee, 11 Jul 2024
      • RC3: 'Reply on CC1', Anonymous Referee #2, 12 Jul 2024
        • CC2: 'Reply on RC3', Chayan Banerjee, 15 Jul 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Kien Nguyen Thanh on behalf of the Authors (30 Jul 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (28 Aug 2024) by Andy Wickert
RR by Christopher Feeney (28 Aug 2024)
RR by Jorge Ramirez (10 Sep 2024)
ED: Publish subject to minor revisions (review by editor) (17 Oct 2024) by Andy Wickert
AR by Kien Nguyen Thanh on behalf of the Authors (04 Nov 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (15 Dec 2024) by Andy Wickert
AR by Kien Nguyen Thanh on behalf of the Authors (16 Dec 2024)  Manuscript 
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Short summary
In geosciences, the reliance on numerical models necessitates the precise calibration of their parameters to effectively translate information from observed to unobserved settings. We introduce a generalizable framework for calibrating numerical models, with a case study of the geomorphological model CAESAR-Lisflood. This approach efficiently identifies the optimal set of parameters for a given numerical model, enabling retrospective and prospective analyses at various temporal resolutions.
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