Presentation

Final Report here

SEACS aims at exploring novel statistical and stochastic methods to address the emulation, reconstruction and forecast of fine-scale upper ocean dynamics. From the recent advances in the theoretical understanding, modeling and simulation of upper ocean dynamics along with the mass of data routinely available to observe the ocean evolution, our key objective is to investigate new tools and methods for the calibration and implementation of novel sound and efficient oceanic dynamical models. In this respect, the emphasis will be given to stochastic frameworks to encompass multi-scale/multi-source approaches and benefit from the available observation and simulation massive data. The addressed scientific questions constitute basic research issues at the frontiers of several disciplines. It crosses in particular advanced data analysis approaches, physical oceanography and stochastic representations. To develop such an interdisciplinary initiative, we gather a set of research groups associated with these different scientific domains, which have already proven for several years their capacities to interact and collaborate on topics related to oceanic data and models. This project will place Brittany with an innovative and leading expertise at the frontiers of Computer Science, Statistics and Oceanography. This transdisciplinary research initiative is expected to resort to significant advances challenging the current thinking in computational oceanography. It falls within the thematic priority “ICT & Environment” of Cominlabs call for proposal. 

Targeted scientific challenges & project organisation

As illustrated below, SEACS address two complementary methodological approaches for the stochastic representation of geophysical systems : model-driven framework (Challenge I) and data-driven framework (Challenge II). The common targeted  application challenge is the simulation and reconstruction of high-resolution upper ocean dynamics (Challenge III).

Principal investigators :

Associated dissemination events:

  • Workshop and summer school on Data Science & Environment, July 2017, Brest, (website)
  • Workshop on Stochastic Weather Genrators, May 2016, Vannes, France (website)
  • 3rd Summer School on Ocean Remote Sensing Synergy, June 20-24 2016, Logonna-Daoulas, France (website)
  • 2nd Summer School on Ocean Remote Sensing Synergy, July 6-10 2015, Télécom Bretagne, Brest, France (website)

SEACS-related PhD :

  • Brahim Boussidi, “Textural-based methods for image superresolution : Application to Satellite-derived Sea Surface Temperature imagery”,  PhD  defended on Oct. 18 2016 at IMT Atlantique/Lab-STICC.
  • Valentin Resseguier, “Mixing and fluid dynamics under location uncertainty”, PhD defended on Jan. 10 2017 at Univ. Rennes 1/INRIA Rennes.
  • Manuel Lopez-Radcenco, “”, , ongoing PhD at IMT Atlantique/Lab-STICC.
  • Said Ouala, “Deep learning for ocean data assimilation”, IMT Atlantique/Lab-STICC.
  • Thi Tuyet Trang Chau, “Metocean multi-source data fusion non parametric filtering”, ongoing PhD at Univ. Rennes 1/IRMAR.

Awards

  • Best PhD thesis award SMAI/GAMNI 2017 Valentin Resseguier

Associated invited and visiting scientists:

  • Dr. Marcelo Barreiro (Univ. Montevideo, Uruguay), July 2017
  • Dr. Dorit Hammerling (IMAGe-NCAR, USA), July 2017
  • Dr. Alexis Hannart (Ouranos, Canada), July 2017
  • Dr. Ibrahim Hoteit (KAUST, Saudi Arabia), July 2017
  • Dr. Erwan Le Pennec (Ecole Polytechnique, France), July 2017
  • Dr. Pierre-Yves Le Traon (MERCATOR, France), July 2017
  • Dr. Olivier Mestre (Météo-France, France), July 2017
  • Dr. Takemasa Miyoshi (RIKEN, Japan), July 2017
  • Dr. Douglas Nychka (IMAGe-NCAR, USA), July 2017
  • Dr. Thierry Penduff (IGE, France), July 2017
  • Dr. Eniko Szekely (CIMS-NYU, USA), July 2017
  • Dr. Anastassia Baxevani, Univ. of Cyprus, Cyprus, May 2016.
  • Dr. Camerons Bracken, Univ. of Colorado, USA, May 2016
  • Prof. Marc Genton, KAUST, Sausi Arabia, May 2016
  • Prof. Dimitris Giannakis, Courant Institute of Mathematical Sciences, USA, May 2016
  • Prof. William Kleiber, University of Colorado, USA, May 2016
  • Prof. Erwan Koch, ETH Zurich, Switzerland, May 2016
  • Prof. Grégoire Mariethoz, University of Lausanne, Switzerland, May 2016
  • Dr. Takemasa Miyoshi, RIKEN Advanced Institute for Computational Science, Japan, May 2016
  • Prof. Christian Franzke, Universität Hamburg, Germany, May 2016
  • Prof. Pierre Pinson, Technical University of Denmark, Denmark
  • Prof. Balaji Rajagopalan, University of Colorado,  USA, May 2016
  • Prof. Christoph Ritshel, Freie Universität Berlin, Germany, May 2016
  • Dr. Reik Donner, Potsdam Institute for Climate Impact Research, May 2016
  • Dr. Ying Sun, KAUST, Sausi Arabia, May 2016
  • Dr. Aitor Atencia, McGill University, Canada, June 2016
  • Prof. Ibrahim Hoteit, KAUST, Sausi Arabia, June 2016
  • Prof. Joe Lacasce, Whoi & Univ. Oslo, Norway, June 2016
  • Dr. Juan Ruiz, Univ. Buenos Aires, July 2015
  • Prof. Marc Genton, KAUST, Sausi Arabia, July 2015
  • Dr. Ying Sun, KAUST, Sausi Arabia, July 2015

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