IMT-Atlantique & RIKEN Online Joint Seminar Series (Jointly with Data Assimilation Seminar Series)


  • Dates: Feb.17 - Apr.14, 2021
  • Language: English
  • Place: Zoom
  • Videos: Youtube

Theme: Statistical Modeling and Machine Learning in Meteorology and Oceanography

This online joint seminar series follows the first and second joint RIKEN-IMT Atlantique workshops in 2019 and 2020. The main topic is the fusion of Data Assimilation (DA) with Artificial Intelligence (AI) in the fields of Meteorology, Oceanography, and Climate. The use of AI and statistical techniques such as neural networks in geophysics has a potential to enhance our knowledge and to improve physical models’ performance by exploiting more from available observations and by accelerating DA workflow for real time response. This seminar series aims to exchange ideas about potential future research on the fusion of DA and AI with HPC in the research fields of meteorology and oceanography for enhancing future collaborations between RIKEN and IMT-Atlantique based on the international agreement signed in 2019.

Seminar 1

Feb. 17: Jointly with OceaniX project of IMT-Atlantique

Time Speaker Title
JST 21:30-23:00
CET 13:30-15:00
Dr. Takemasa Miyoshi Big Data, Big Computation, and Machine Learning in Numerical Weather Prediction

Seminar 2: Application of deep-learning methods to environmental data

Mar. 3

Time Speaker Title
JST 17:30-18:00
CET 9:30-10:00
Mr. Aurélien Colin
(IMT Atlantique & CLS)
Semantic Segmentation of Metocean Processes and Estimation of Ancillary Data
JST 18:00-18:30 CET 10:00-10:30 Dr. Hirotaka Hachiya Spatio-temporal integration of forecast guidance outputs using U-Net
JST 18:30-19:00 CET 10:30-11:00 - Discussion

Seminar 3: Model acceleration and emulation using ML

Mar. 18

Time Speaker Title
JST 17:30-18:00
CET 9:30-10:00
Dr. Maha Mdini Accelerating Climate Model Computation by Neural Networks
JST 18:00-18:30 CET 10:00-10:30 Dr. Simon Benaïchouche
(IMT Atlantique & e-odyn)
Variational learning of sea surface current reconstructions from AIS data streams
JST 18:30-19:00 CET 10:30-11:00 - Discussion

Seminar 4: Characterization of model errors using ML

Mar. 31

Time Speaker Title
JST 16:30-17:00 CET 9:30-10:00 Dr. Yicun Zhen
(Ifremer & IMT Atlantique)
Location uncertainty from another point of view.
JST 17:00-17:30 CET 10:00-10:30 Dr. Arata Amemiya Connecting Data Assimilation and Neural ODEs
JST 17:30-18:00 CET 10:30-11:00 - Discussion

Seminar 5

Apr. 14

Time Speaker Title
JST 16:30-17:30 CET 9:30-10:30 Dr. Pierre Tandeo Narrowing uncertainties in climate projections using data science tools
JST 17:30-18:00 CET 10:30-11:00 - Discussion

Past IMT Atlantique & RIKEN workshops


Organized by

  • RIKEN Center for Computational Science (RCCS) / Cluster for Pioneering Research (CPR)
  • IMT-Atlantique

Co-Organized by

  • RIKEN Interdisciplinary Theoretical and Mathematical Sciences Program (iTHEMS)

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