Articles | Volume 18, issue 11
https://doi.org/10.5194/gmd-18-3473-2025
https://doi.org/10.5194/gmd-18-3473-2025
Methods for assessment of models
 | 
13 Jun 2025
Methods for assessment of models |  | 13 Jun 2025

Using automatic calibration to improve the physics behind complex numerical models: an example from a 3D lake model using Delft3D (v6.02.10) and DYNO-PODS (v1.0)

Marina Amadori, Abolfazl Irani Rahaghi, Damien Bouffard, and Marco Toffolon

Viewed

Total article views: 784 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
279 170 335 784 22 28
  • HTML: 279
  • PDF: 170
  • XML: 335
  • Total: 784
  • BibTeX: 22
  • EndNote: 28
Views and downloads (calculated since 09 Oct 2024)
Cumulative views and downloads (calculated since 09 Oct 2024)

Viewed (geographical distribution)

Total article views: 784 (including HTML, PDF, and XML) Thereof 784 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 14 Jun 2025
Download
Short summary
Models simplify reality using assumptions, which can sometimes introduce flaws and affect their accuracy. Properly calibrating model parameters is essential, and although automated tools can speed up this process, they may occasionally produce incorrect values due to inconsistencies in the model. We demonstrate that by carefully applying automated tools, we were able to identify and correct a flaw in a widely used model for lake environments.
Share