Date : 2023-04-11 => 2023-04-13
Lieu : Hybrid event: in-person attendees in Brest and remote participants

This workshop is organized in the framework of the GDRs “Défis théoriques pour le Climat” and LEFE/MANU program aims to review and discuss advances and challenges in AI/learning-based frameworks for Ocean-Atmosphere-Climate Science. Broadly speaking, the availability of large amounts of simulation and observation data and the emergence of artificial intelligence technologies (big data architectures, GPUs, prolific learning) open up new opportunities to explore open questions in ocean, atmospheric and climate sciences through a data-centric paradigm, rather than a “classical” physical paradigm, one of the central scientific challenges being precisely the ability to unify these two paradigms. The workshop will gather experts in applied math, AI and geoscience to explore, review, discuss and advance these challenges.

The program will combine oral sessions and poster sessions in the afternoon and working groups sessions in the morning. Participants have the opportunity to present their research work as well as to propose themes of interest for working group sessions. We envision workings groups with emphasis on specific processes and/or earth system components as well as working groups with method-oriented interests.

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