Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 19, issue 21
Articles | Volume 19, issue 21
https://doi.org/10.5194/gmd-19-10345-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/gmd-19-10345-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 21
Development and technical paper
 | 
30 Oct 2026
Development and technical paper |  | 30 Oct 2026

Deploying machine learning components coupled to Earth System Models with OASIS3-MCT (v6) and Eophis (v1.1)

Alexis Barge, Julien Le Sommer, Andrea Storto, and Sophie Valcke

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Short summary
Scientists use programs, called Earth System Models, to study and predict climate. These models are based on physical theories but can be completed with AI tools. However, combining these tools with traditional models is difficult due to their different nature. Our research introduces a new method that connects these AI tools with existing climate models. We tested this method by integrating it with an ocean model. This work should help scientists explore new ways of making climate predictions.
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Nucleus for European Modelling of the Ocean - NEMO
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