Preprints
https://doi.org/10.5194/egusphere-2024-1191
https://doi.org/10.5194/egusphere-2024-1191
27 May 2024
 | 27 May 2024

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

Abstract. In geosciences, including hydrology and geomorphology, the reliance on numerical models necessitates the precise calibration of their parameters to effectively translate information from observed to unobserved settings. Traditional calibration techniques, however, are marked by poor generalizability, demanding significant manual labor for data preparation and the calibration process itself. Moreover, the utility of machine learning-based and data-driven approaches is curtailed by the requirement for the numerical model to be differentiable for optimization purposes, which challenges their generalizability across different models. Furthermore, the potential of freely available geomorphological data remains underexploited in existing methodologies. In response to these challenges, we introduce a generalizable framework for calibrating numerical models, with a particular focus on geomorphological models, named Iterative Model Calibration (IMC). This approach efficiently identifies the optimal set of parameters for a given numerical model through a strategy based on a Gaussian neighborhood algorithm. We demonstrate the efficacy of IMC by applying it to the calibration of the widely-used Landscape Evolution Model, CAESAR-Lisflood, achieving high precision. Once calibrated, this model is capable of generating geomorphic data for both retrospective and prospective analyses at various temporal resolutions, and retrospective and prospective analyses at various temporal resolutions, specifically tailored for scenarios such as gully catchment landscape evolution.

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Journal article(s) based on this preprint

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
Geosci. Model Dev., 18, 803–818, https://doi.org/10.5194/gmd-18-803-2025,https://doi.org/10.5194/gmd-18-803-2025, 2025
Short summary
Chayan Banerjee, Kien Nguyen, Clinton Fookes, Gregory Hancock, and Thomas Coulthard

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

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 

Journal article(s) based on this preprint

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
Geosci. Model Dev., 18, 803–818, https://doi.org/10.5194/gmd-18-803-2025,https://doi.org/10.5194/gmd-18-803-2025, 2025
Short summary
Chayan Banerjee, Kien Nguyen, Clinton Fookes, Gregory Hancock, and Thomas Coulthard

Model code and software

IMC calibration codes Chayan Banerjee, Kien Nguyen, Clinton Fookes, Gregory Hancock, and Thomas Coulthard https://drive.google.com/file/d/1o2Le5Lxf8hDyWmpD9BWeylyQGGzumg8e/view?usp=drive_link

Video supplement

Demonstration videos Chayan Banerjee, Kien Nguyen, Clinton Fookes, Gregory Hancock, and Thomas Coulthard https://drive.google.com/file/d/1v6JIj8lQ2uIKuglzVByZfF7fJAp0L8oH/view?usp=drive_link

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

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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.
Share