JST-Sakura Science Exchange Program: RIKEN-Fudan University joint workshop on atmospheric science, DA and ML

Basic information

  • Date: 5th February 2026 (Thu.), 09:30 - 17:30
  • Venue : RIKEN Center for Computational Science, 1F Seminar room
    (7‑2‑16 Minatojima‑minami‑machi, Chuo‑ku, Kobe, Hyogo 650‑0047, Japan)
  • Language: English
Group photo of participants at the 2nd day of RIKEN-Fudan University joint workshop on atmospheric science, DA and ML, 6 February 2026, Kobe, Japan
Participants of RIKEN-Fudan University joint workshop on atmospheric science, DA and ML (6 February 2026, Kobe, Japan).

Objective

This JST-Sakura Science Exchange Programme leverages the complementary strengths and research foundations of Fudan University and RIKEN in atmospheric science, focusing on the important scientific challenge of applying artificial intelligence to cloud remote sensing and data assimilation. The programme aims to achieve the following goals:


  • Deepening academic understanding,
  • Enhancing scientific research literacy,
  • Stimulating research motivation,
  • Promoting intercultural exchange, and
  • Building a bridge for cooperation.


Program (tentative)

Time Team Speaker Topic
09:00-09:30 Registration & Coffee
09:30-09:45RIKEN iTHEMSLingxiao Wang & Takemasa Miyoshi Opening: Introduction to JST-Sakura Science Exchange Program
09:45-10:00Fudan University teamWei XujunGlobal Nowcasting of Geostationary Satellite Infrared Cloud Imagery
10:00–10:15Zhu RunzeOnboard Deep Learning Nowcasting for FY-4B/AGRI
10:15-10:30Wang CongA Global Meteorological Foundation Model Based on Dual-branch Adaptive Feature Fusion
10:30–10:45Hou RunzepuMask-Prior-Guided Satellite Imagery Forecasting Model and Regional Joint Weather Forecasting Model
10:45-11:00Wu XinResearch on PM2.5 Concentration Forecast in China Based on Large Meteorological Model
11:00–11:15Yin XiaoxiaoRetrieving Aerosol Optical Depth with Machine Learning and Multi-Decadal Visibility Records
11:15-11:30Yang ChunleiSnow or Rain? Hybrid AI Deciphers Surface Precipitation Phase from Satellite
11:30–12:00RIKEN iTHEMSLingxiao WangDiscussions
12:00–13:00Lunch
13:00–13:15RIKEN DA teamGwendal SaliouDL Regional Weather Forecasting: Fusing Global Forecast with Local States with a Nested Approach
13:15–13:30Tristan HascoetDifferentiable River Routing for End-to-end Learning of Hydrological Processes
13:30–13:45Shigenori OtsukaMicheal GoodliffData-driven Approaches for Precipitation NowcastingImpacts of Model Errors on Convergence of Iterative Data Driven Model Refinement with Data Assimilation
13:45–14:00Unashish MondalNICAM-LETKF Using EarthCARE CPR: Introduction and My Initial Research
14:00–14:15James TaylorPhased Array Weather Radar Assimilation with the SCALE-LETKF
14:15–14:30Shun OhishiLETKF-based Ocean Research Analysis for a Quasi-global Domain
14:30–17:00Coffee break and Informal dicussions

Organizer

  • RIKEN
  • Data Assimilation Research Team, RIKEN Center for Computational Science (R-CCS)
  • Prediction Science Research Team, RIKEN Center for Interdisciplinary Theoretical and Mathematical Sciences Program (iTHEMS)
  • Lingxiao Wang

Supported by

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