Articles | Volume 17, issue 3
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


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-1697', Anonymous Referee #1, 13 Sep 2023
  • RC2: 'Comment on egusphere-2023-1697', Anonymous Referee #2, 22 Sep 2023
  • AC1: 'Comment on egusphere-2023-1697', Benjamin Post, 11 Nov 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Benjamin Post on behalf of the Authors (11 Dec 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to technical corrections (21 Dec 2023) by Andrew Yool
AR by Benjamin Post on behalf of the Authors (21 Dec 2023)  Manuscript 
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.