Articles | Volume 17, issue 3
https://doi.org/10.5194/gmd-17-1175-2024
https://doi.org/10.5194/gmd-17-1175-2024
Model description paper
 | 
13 Feb 2024
Model description paper |  | 13 Feb 2024

The XSO framework (v0.1) and Phydra library (v0.1) for a flexible, reproducible, and integrated plankton community modeling environment in Python

Benjamin Post, Esteban Acevedo-Trejos, Andrew D. Barton, and Agostino Merico

Viewed

Total article views: 987 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
728 202 57 987 40 59
  • HTML: 728
  • PDF: 202
  • XML: 57
  • Total: 987
  • BibTeX: 40
  • EndNote: 59
Views and downloads (calculated since 18 Aug 2023)
Cumulative views and downloads (calculated since 18 Aug 2023)

Viewed (geographical distribution)

Total article views: 987 (including HTML, PDF, and XML) Thereof 985 with geography defined and 2 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 16 Nov 2024
Download
Short summary
Creating computational models of how phytoplankton grows in the ocean is a technical challenge. We developed a new tool set (Xarray-simlab-ODE) for building such models using the programming language Python. We demonstrate the tool set in a library of plankton models (Phydra). Our goal was to allow scientists to develop models quickly, while also allowing the model structures to be changed easily. This allows us to test many different structures of our models to find the most appropriate one.