MeLODy Using artificial intelligence to better understand, model and predict the ocean-atmosphere interface
Some of the main challenges in ocean-atmosphere climate science are understanding, modelling, predicting and reconstructing both small and large-scale processes and the associated scale interactions.
Artificial Intelligence (AI) provides new paradigms for studying these processes, based on in-depth exploration of the masses of observation and simulation data available.
The MeLODy project aims to link the conventional physical paradigms in earth sciences with AI methods and strategies, in order to develop new approaches to identification based on data from representations of geophysical dynamics.
Partenaires
Centres de recherche
- IMT Atlantique Bretagne-Pays de la Loire, Laboratoire Lab-STICC, Brest [Porteur de projet]
- Ifremer LOPS, Brest
- Institut des Géosciences de l'Environnement (IGE), Saint-Martin d’Hères
- Inria, Grenoble
- Inria, Rennes
- Sorbonne Université, Laboratoire d'informatique de Paris, Paris
- Laboratoire des Sciences du Climat et de l'Environnement (LSCE), Gif-sur-Yvette
Entreprise
- Ocean Data Lab, Brest
- Ocean Next, Saint-Martin d'Hères
Financeurs
- Agence Nationale de la Recherche