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

Viewed

Total article views: 5,254 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,842 1,177 235 5,254 179 321
  • HTML: 3,842
  • PDF: 1,177
  • XML: 235
  • Total: 5,254
  • BibTeX: 179
  • EndNote: 321
Views and downloads (calculated since 27 May 2024)
Cumulative views and downloads (calculated since 27 May 2024)

Viewed (geographical distribution)

Total article views: 5,254 (including HTML, PDF, and XML) Thereof 5,176 with geography defined and 78 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 25 Jun 2026
Download
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