Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 19, issue 17
Articles | Volume 19, issue 17
https://doi.org/10.5194/gmd-19-8349-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-8349-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 17
Model description paper
 | 
09 Sep 2026
Model description paper |  | 09 Sep 2026

SeapoPym v0.1: implementation of the SEAPODYM low and mid trophic levels in Python with a flexible optimization framework

Jules Victor Lehodey, Alexandre Mignot, Alexandre Ganachaud, Sarah Albernhe, and Simon Nicol

Data sets

Global Ocean Low and Mid Trophic Levels Biomass Content Hindcast E.U. Copernicus Marine Service Information (CMEMS) https://doi.org/10.48670/moi-00020

Bermuda Atlantic Time-Series Study (BATS) Zooplankton Biomass Simons CMAP and Bermuda Atlantic Time-series Study (BATS) https://doi.org/10.5281/zenodo.10182499

Zooplankton Community Structure HOT v2022 Simons CMAP and Hawaii Ocean Time-series https://doi.org/10.5281/zenodo.10850539

Model code and software

SeapoPym/seapopym: SeapoPym v0.1.1 Jules Victor Lehodey https://doi.org/10.5281/zenodo.21838667

Reproducibility deposit for SeapoPym v0.1: Implementation of the SEAPODYM low and mid trophic levels in Python with a flexible optimization framework Jules Victor Lehodey et al. https://doi.org/10.5281/zenodo.21849337

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Short summary
Marine zooplankton transfer energy from microscopic algae to fish and larger predators. Understanding their distribution helps predict how oceans respond to climate change. We developed SeapoPym, a freely available model that simulates zooplankton using ocean temperature and plant productivity. This tool lets scientists test biological hypotheses and estimate parameters from observations.
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