Published September 6, 2024 | Version v1
Dataset Open

Repository for: "Using automatic calibration to improve the physics behind complex numerical models: An example from a 3D lake model"

Authors/Creators

  • 1. CNR IREA
  • 2. ROR icon Swiss Federal Institute of Aquatic Science and Technology
  • 3. ROR icon University of Zurich
  • 4. ROR icon University of Lausanne
  • 5. ROR icon University of Trento

Contributors

Data manager:

  • 1. ROR icon Swiss Federal Institute of Aquatic Science and Technology

Description

Set of numerical experiments supporting the paper entitled "Using automatic calibration to improve the physics behind complex numerical models: An example from a 3D lake model" by Marina Amadori, Abolfazl Irani Rahaghi, Damien Bouffard and Marco Toffolon. Submitted to GMD. 

The folder contains: 

simulations: DYNO-PODS + Delft3D experiments on Lake Morat. See https://github.com/louisXW/DYNO-pods for more insights on DYNO-PODS and instructions for installation.

scripts: extraction and plotting scripts

source_code: modified Delft3D src as available at: https://github.com/eawag-surface-waters-research/Delft3D/tree/d3d4/research/surface_heat_transfer

Files

Amadori_etal_GMD2024_repo.zip

Files (4.8 GB)

Name Size
md5:d5608004308bc220f65e8c8040bc342e
4.8 GB Preview Download

Additional details

Additional titles

Subtitle (English)
DYNO-PODS + Delf3D simulations repository

Identifiers

URL
https://editor.copernicus.org/GMD/ms-records/gmd-2024-118

Related works

Is supplement to
Journal article: gmd-2024-118 (Other)

Dates

Created
2024-09-11
Repository created

Software

Repository URL
https://github.com/eawag-surface-waters-research/Delft3D/tree/d3d4/research/surface_heat_transfer
Programming language
Python
Development Status
Active