Workshop on AI for Ocean, Atmosphere and Climate Dynamics

Update [31/01]slides of the keynotes link

Update [25/01]:  Best working groups' Awards awarded to "Learning & Space-time extremes" and "Learning & space-time interpolation of geophysical dynamics" working groups.

Update [23/01]:  Feedback for the workshop link

Update [21/01]:  slides of the introduction to NNs link

Update [20/01]slides of the welcome session (link) and of the Open Forum session (link)


This workshop is co-organized in the framework of EUR Isblue (Interdisciplinary Graduate School for the Blue Planet, Brest, co-funded through by ANR grant ANR-17-EURE-0015), LEFE/MANU project IA-OAC, ANR project Melody and ANR AI Chair OceaniX (PI: R. Fablet, IMT Atlantique), which both aim at developing AI 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 aims to explore, review, discuss and advance these challenges.

The program will combine keynotes (see below invited speakers) and working groups. Any participant will have the opportunity to propose a theme for a working group during an initial open forum session. Two types of working groups will be encouraged: data-challenge-like groups and more prospective working groups investigating AI-based formulations for ocean/atmosphere/climate challenges.

Feel free to contact us for additional information: send a mail to ronan.fablet AT 

List of keynote speakers:

  • Prof. Mihai Datcu, DLR, "AI and Earth Observation"  
  • Prof. Anne Sabourin, TelecomParisTech, "PCA for Multivariate Extremes"
  • Dr. Samy Bengio, Google Research, "Towards Better Understanding Generalization in Deep Learning"
  • Dr. Olivier Pannekoucke, CERFACS, "NN generator for PDEs"
  • Dr. Gilles Tissot, INRIA Rennes, "Koopman Operator and RKHS"
  • Dr. Nicolas Papadakis, CNRS/IMB, "Optimal transport for image assimilation"

The associated abstracts can be found at: link.

Organizing committee

  • Prof. Ronan Fablet, IMT Atlantique/Lab-STICC, Brest, France
  • Dr. Bertrand Chapron, Ifremer, LOPS, Brest, France
  • Dr. Laurent Debreu, INRIA GRA, Grenoble, France
  • Prof. Patrick Gallinari, Sorbonne Univ., Paris, France
  • Dr. Julien Le Sommer, CNRS, IGE, Grenoble, France
  • Dr. Philippe Naveau, CNRS, LSCE, Paris, France
  • Prof. Sylvie Thiria, Sorbonne Univ., Paris, France

List of working groups' themes

The workshop will involve both methodological and topical working groups. Below is a preliminary list of the envisioned working groups (WGs), which may be updated during the open forum session the first day of the workshop:

  • Learning-based approaches for reduced-order (stochastic) modeling
  • Learning & Space-time extremes
  • Generative modeling for OAC processes
  • Automated NN generation from PDEs
  • Dynamical Systems, Optimal Transport & Physics-informed Learning
  • Learning closures for ocean dynamics
  • Learning-based separation of wave and eddy processes
  • (End-to-end) learning and space-time interpolation of geophysical dynamics
  • Learning & biogeochemical dynamics 

Each workshop participant will have the opportunity to participate to at least one methodological WG and one topical WG. A short description of each is available (link).

Please fill up the following form to select your WGs of interest:

Practical information

Location: Pôle Numérique Brest Iroise, Technopôle Brest-Iroise, 29280 Plouzané (google map link).

Sponsors: The workshop is supported by IMT Atlantique, EUR Isblue, LEFE/MANU project IA-OAC, ANR project Melody (link) and ANR AI Chair OceaniX (link).

Link to 2018 workshop on AI for Geophysical Dynamics

List of participants (soon)

  • Simon Benaichouche, IMT Atlantique/Lab-STICC, France
  • Laurent Debreu, INRIA GRA, France
  • Jean-Marc Delouis, CNRS/LOPS, France
  • Angélique Drémeau, ENSTA Br./Lab-STICC, France
  • Noura Dridi, IMT Atlantique/Lab-STICC, France
  • Lucas Drumetz, IMT Atlantique/Lab-STICC, France
  • Ronan Fablet, IMT Atlantique/Lab-STICC, France
  • Jean-François Filipot, ITE-FEM, France
  • Patrick Gallinari, Sorbonnne Univ./LIP6, France
  • Lucile Gaultier, OceanDataLab, France
  • Jonathan Gula, UBO/LOPS, France
  • Cédric Herzet, INRIA Rennes, France
  • Frédéric Jourdin, SHOM, France
  • Stéphanie Leroux, OceanNext, France
  • Clément Le Goff, Eodyn, France
  • Julien Le Sommer, CNRS/IGE, France
  • Elodie Martinez, IRD/LOPS, France
  • Laurent Mémery, CNRS/LEMAR, France
  • Etienne Mémin, INRIA Rennes, France
  • Philippe Naveau, CNRS/LSCE, France
  • Duong Nguyen, IMT Atlantique/Lab-STICC, France
  • Said Ouala, IMT Atlantique/Lab-STICC, France
  • Nicolas Papadakis, CNRS, France
  • Valentin Resseguier, Scalian, France
  • François Rousseau, IMT Atlantique/Latim, France
  • Amédée Roy, IRD/MARBEC, France
  • Pierre Tandeo, IMT Atlantique/Lab-STICC, France
  • Clément Ubelmann, CLS, France
  • Jean-Marie VIENT, UBO/LGO, France
  • Olivier Zahm, INRIA GRA, France
  • Yicun Zhen, IMT Atlantique, France
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