IMT-Atlantique & RIKEN joint Data Assimilation workshop
Overview
- Date: June the 26th and 27th of 2025
- Place: IMT Atlantique, Brest, France
- Language: English
Overview
Data Assimilation (DA) is closely related to Uncertainty Quantification (UQ) in applied mathematics and is an interdisciplinary science that combines mathematical models (mathematical science), simulations (computational science), and observations (data science). Its theoretical background includes dynamical systems, probability, statistical mathematics, differential equation, numerical analysis, and data science, and it has been applied to not only meteorology but also various research fields. Moreover, Machine Learning (ML) has been making rapid progress, and various achievements in geoscience fields have been made such as application to precipitation forecasting and model bias correction.IMT-Atlantique has its strength in statistical mathematics, ML, and applications to oceanography, and signed an MOU with RIKEN in 2019 to enhance the theoretical aspects of DA. IMT-Atlantique and RIKEN have been actively working together to organize joint workshops, organize sessions at an international conference, and send graduate students from IMT-Atlantique to RIKEN. To extend these collaborations, we organize the IMT-Atlantique & RIKEN joint data assimilation workshop at this time.
Tentative Program (To be updated)
First day (June the 26th)| Time | Speaker | Title |
|---|---|---|
| 10:00-10:25 | Registration | |
| 10:25-10:30 [Chair: S. Otsuka] |
T. Miyoshi, P. Tandeo | Opening remarks |
| 10:30-11:30 | Norihiko Sugimoto (Keio University) |
Keynote: Challenge for the data assimilation of the Venus atmosphere |
| 11:30-12:10 | Michael Goodliff (RIKEN) |
Machine Learning for surrogate models |
| 12:10-13:20 | Lunch Break | |
| 13:20-14:00 | Sibo Cheng (ENPC) |
Keynote: Tackling Sparse Data in Environmental Science: Hybrid Machine Learning and Data assimilation Approaches |
| 14:00-14:40 | Erwan Le Roux (IMT Atlantic) |
Equation Discovery for climate impact: symbolic regression to emulate impact models for unexplored climate trajectories |
| 14:40-15:00 | Coffee Break | |
| 15:00-15:40 | Solene Dealbera (IMT Atlantic) |
Data assimilation in object-oriented spaces: Application to mesoscale ocean eddies |
| 15:40-16:20 | Tristan Hascoet (RIKEN) |
End-to-end learning of hydrological processes at national scale |
| 16:20-16:50 | Discussions | |
| 16:50-17:00 | T. Miyoshi, P. Tandeo | Closing remarks |
| Time | Speaker | Title |
|---|---|---|
| 10:25-10:30 [Chair: S. Otsuka] |
T. Miyoshi, P. Tandeo | Opening remarks |
| 10:30-11:30 | Martin Weissman (Univ. Vienna) |
Keynote: Prospects and challenges of assimilating cloud-affected satellite radiances in NWP models |
| 11:30-12:10 | Yuta Tarumi (RIKEN) |
Deep Bayesian Filter for SPEEDY, an Intermediate-Complexity Atmospheric GCM |
| 12:10-13:20 | Lunch Break | |
| 13:20-14:00 | Shigenori Otsuka (RIKEN) |
Data-driven approaches for precipitation nowcasting |
| 14:00-14:40 | Emilio Gonzalez-Zamora (IMT Atlantic) |
Neural regional ocean models |
| 14:40-15:00 | Coffee Break | |
| 15:00-15:40 | Gwendal Saliou (IMT, IFREMER, RIKEN) |
Regional Weather Forecast based on AI |
| 15:40-16:20 | Shungo Tonoyama (RIKEN) |
Two different approaches to identifying the state of the pressure source |
| 16:20-16:50 | Discussions | |
| 16:50-17:00 | T. Miyoshi, P. Tandeo | Closing remarks |
Past events
Organizer
Inquiry
- RIKEN Center for Computational Science (R-CCS) Data Assimilation Research Team
- Email: da-joint-staff [at] ml.riken.jp (*Replace [at] with @)
Protection of personal data
In accordance with RIKEN's rule on protection of personal data, any data that we gain through our website will be protected strictly and will never be released, given, or lent to any third party without just cause.