IMT-Atlantique & Kyoto University & RIKEN joint Data Assimilation workshop


Registration/Poster presentation/Icebreaker

  • Registration form
  • Deadline: 31st July 2023

*The registration form is the same as 14th Data Assimilation workshop (29th-30th Aug.) .

*Call for only poster presentation at the 14th Data Assimilation workshop (Please submit the title only)

*Icebreaker at the 14th Data Assimilation workshop is an optional event with charge of ¥1000. Please pay "cash" at the registration desk on-site. Cancellation can be accepted by 12:00 JST 25th August by sending an email to the desk of the 14th Data Assimilation workshop. After that, the icebreaker fee will be charged regardless of your attendance.


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. In addition, Kyoto University and RIKEN have regularly organized joint data assimilation workshops focusing on mathematical science and theory since 2013. To extend these collaborations, we organize the IMT-Atlantique & Kyoto University & RIKEN joint data assimilation workshop at this time. To enhance exchanges and interactions among broader researchers in various fields, the Japanese Data Assimilation Research Consortium organizes the 14th Data Assimilation workshop on the same day.


Time Speaker Title
09:00-09:30 Registration
[Chair: S. Otsuka]
T. Miyoshi, P. Tandeo,
and T. Sakajo
Opening remarks
09:35-10:05 Pierre Tandeo
Estimating dynamical models using machine learning and data assimilation
10:05-10:35 Jianyu Liang
A machine learning approach to the observation operator for satellite radiance data assimilation
10:35-10:50 Yuki Kobayashi
(Kyoto University)
Including cross-correlation between the forecast and observation errors in the ensemble Kalman filter
10:50-11:10 Break
[Chair: R. T. Kondoru]
Mai Quyen Pham
A fast multiplicative updates algorithm for non-negative matrix factorization
11:40-12:10 Lin Li
Explore the possibility of controlling typhoons with deep reinforcement learning
12:10-12:25 Kota Takeda
(Kyoto University)
Ensemble filter with the optimal transport of gaussian mixture distributions
12:25-12:30 T. Miyoshi, P. Tandeo, and T. Sakajo Closing remarks

Lunch information: [restarurant] [kitcken car]


  • RIKEN Center for Computational Science (R-CCS) Data Assimilation Research Team
  • Email: da-joint-staff [at] (*Replace [at] with @)

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