Final Report here<\/a><\/h4>\nSEACS 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 \u201cICT & Environment\u201d of Cominlabs call for proposal.\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\nTargeted scientific challenges & project organisation<\/h3>\n
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\u00a0\u00a0application challenge is the simulation and reconstruction of high-resolution upper ocean dynamics (Challenge III).<\/p>\n
![\"\"](\"https:\/\/project.inria.fr\/seacs\/files\/2019\/06\/Diapositive8.jpg\")
<\/a><\/p>\nPrincipal investigators :<\/h1>\n\n- Ronan Fablet<\/strong>, Professor, Telecom Bretagne, LabSTICC\/TOMS, Labex Cominlabs,\u00a0http:\/\/perso.telecom-bretagne.eu\/ronanfablet\/<\/a><\/li>\n
- Etienne m\u00e9min<\/strong>, Senior researcher, INRIA Rennes, Fluminance,\u00a0\u00a0Labex Cominlabs,\u00a0http:\/\/www.irisa.fr\/prive\/memin<\/a><\/li>\n
- Pierre Ailliot<\/strong>, Associate Professor UBO, LMBA,\u00a0\u00a0Labex Lebesgue,\u00a0http:\/\/pagesperso.univ-brest.fr\/~ailliot\/<\/a><\/li>\n
- Anne Cuzol<\/strong>,\u00a0Associate Professor UBS, LMBA,\u00a0http:\/\/web.univ-ubs.fr\/lmam\/cuzol\/<\/a><\/li>\n
- Val\u00e9rie Monbet<\/strong>, Professor Univ. Rennes 1,\u00a0Labex Lebesgue,\u00a0http:\/\/perso.univ-rennes1.fr\/valerie.monbet<\/a><\/li>\n
- Bertrand Chapro<\/strong>n, Senior Researcher, Ifremer\/LOPS,\u00a0Labex Mer,\u00a0http:\/\/annuaire.ifremer.fr\/cv\/15870\/en\/<\/a><\/li>\n
- Guillaume Roullet<\/strong>,\u00a0Associate Professor UBO, LOPS, Labex Mer,\u00a0http:\/\/stockage.univ-brest.fr\/~roullet<\/a><\/li>\n<\/ul>\n
Associated dissemination events:<\/h1>\n\n- Workshop and summer school on Data Science & Environment, July 2017, Brest, (website<\/a>)<\/li>\n
- Workshop on Stochastic Weather Genrators, May 2016, Vannes, France (website<\/a>)<\/li>\n
- 3rd Summer School on Ocean Remote Sensing Synergy, June 20-24 2016, Logonna-Daoulas, France (website<\/a>)<\/li>\n
- 2nd Summer School on Ocean Remote Sensing Synergy, July 6-10 2015, T\u00e9l\u00e9com Bretagne, Brest, France (website<\/a>)<\/li>\n<\/ul>\n
SEACS-related PhD :<\/h1>\n\n- Brahim Boussidi, “Textural-based methods for image superresolution : Application to Satellite-derived Sea Surface Temperature imagery”, \u00a0PhD \u00a0defended on Oct. 18 2016 at IMT Atlantique\/Lab-STICC.<\/li>\n
- Valentin Resseguier, “Mixing and fluid dynamics under location uncertainty”, PhD defended on Jan. 10 2017 at Univ. Rennes 1\/INRIA Rennes.<\/li>\n
- Manuel Lopez-Radcenco, “”,\u00a0, ongoing PhD at\u00a0IMT Atlantique\/Lab-STICC.<\/li>\n
- Said Ouala, “Deep learning for ocean data assimilation”,\u00a0IMT Atlantique\/Lab-STICC.<\/li>\n
- Thi Tuyet Trang Chau, “Metocean multi-source data fusion non parametric filtering”, ongoing PhD at\u00a0Univ. Rennes 1\/IRMAR.<\/li>\n<\/ul>\n
Awards<\/h1>\n\n- Best PhD thesis award SMAI\/GAMNI 2017 Valentin Resseguier<\/li>\n<\/ul>\n
Associated invited and visiting scientists:<\/h1>\n\n- Dr. Marcelo Barreiro (Univ. Montevideo<\/em>, Uruguay), July 2017<\/li>\n
- Dr. Dorit Hammerling (IMAGe-NCAR<\/em>, USA), July 2017<\/li>\n
- Dr. Alexis Hannart (Ouranos<\/em>, Canada), July 2017<\/li>\n
- Dr. Ibrahim Hoteit (KAUST<\/em>, Saudi Arabia), July 2017<\/li>\n
- Dr. Erwan Le Pennec (Ecole Polytechnique<\/em>, France), July 2017<\/li>\n
- Dr. Pierre-Yves Le Traon (MERCATOR<\/em>, France), July 2017<\/li>\n
- Dr. Olivier Mestre (M\u00e9t\u00e9o-France<\/em>, France), July 2017<\/li>\n
- Dr. Takemasa Miyoshi (RIKEN<\/em>, Japan), July 2017<\/li>\n
- Dr. Douglas Nychka (IMAGe-NCAR<\/em>, USA), July 2017<\/li>\n
- Dr. Thierry Penduff (IGE<\/em>, France), July 2017<\/li>\n
- Dr. Eniko Szekely (CIMS-NYU<\/em>, USA), July 2017<\/li>\n
- Dr. Anastassia Baxevani, Univ. of Cyprus, Cyprus, May 2016.<\/li>\n
- Dr. Camerons Bracken, Univ. of Colorado, USA, May 2016<\/li>\n
- Prof. Marc Genton, KAUST, Sausi Arabia, May 2016<\/li>\n
- Prof.\u00a0Dimitris Giannakis,\u00a0<\/a>Courant Institute of Mathematical Sciences, USA, May 2016<\/li>\n
- Prof.\u00a0William Kleiber,\u00a0<\/a>University of Colorado, USA, May 2016<\/li>\n
- Prof.\u00a0Erwan Koch,\u00a0<\/a>ETH Zurich, Switzerland, May 2016<\/li>\n
- Prof.\u00a0Gr\u00e9goire Mariethoz,\u00a0<\/a>University of Lausanne, Switzerland, May 2016<\/li>\n
- Dr. Takemasa Miyoshi,\u00a0<\/a>RIKEN Advanced Institute for Computational Science, Japan,\u00a0May 2016<\/li>\n
- Prof.\u00a0Christian Franzke,\u00a0<\/a>Universit\u00e4t Hamburg, Germany, May 2016<\/li>\n
- Prof.\u00a0Pierre Pinson,\u00a0<\/a>Technical University of Denmark, Denmark<\/li>\n
- Prof.\u00a0Balaji Rajagopalan,\u00a0<\/a>University of Colorado, \u00a0USA, May 2016<\/li>\n
- Prof.\u00a0Christoph Ritshel,\u00a0<\/a>Freie Universit\u00e4t Berlin, Germany, May 2016<\/li>\n
- Dr. Reik Donner,\u00a0Potsdam Institute for Climate Impact Research, May 2016<\/li>\n
- Dr. Ying Sun,\u00a0KAUST, Sausi Arabia, May 2016<\/li>\n
- Dr.\u00a0Aitor Atencia, McGill University, Canada, June 2016<\/li>\n
- Prof. Ibrahim Hoteit,\u00a0KAUST, Sausi Arabia, June 2016<\/li>\n
- Prof. Joe Lacasce, Whoi & Univ. Oslo, Norway, June 2016<\/li>\n
- Dr. Juan Ruiz, Univ. Buenos Aires, July 2015<\/li>\n
- Prof. Marc Genton, KAUST, Sausi Arabia, July 2015<\/li>\n
- Dr. Ying Sun,\u00a0KAUST, Sausi Arabia, July 2015<\/li>\n<\/ul>\n
<\/p>","protected":false},"excerpt":{"rendered":"
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\u2026<\/p>\n
Targeted scientific challenges & project organisation<\/h3>\n
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\u00a0\u00a0application challenge is the simulation and reconstruction of high-resolution upper ocean dynamics (Challenge III).<\/p>\n
<\/p>","protected":false},"excerpt":{"rendered":" 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\u2026<\/p>\n<\/a><\/p>\nPrincipal investigators :<\/h1>\n
\n
Associated dissemination events:<\/h1>\n
\n
SEACS-related PhD :<\/h1>\n
\n
Awards<\/h1>\n
\n
Associated invited and visiting scientists:<\/h1>\n
\n