[E] Oral

M (Multidisciplinary and Interdisciplinary) » M-GI General Geosciences, Information Geosciences & Simulations

[M-GI27] Data-driven approaches for weather and hydrological predictions

Thu. May 29, 2025 9:00 AM - 10:30 AM Exhibition Hall Special Setting (4) (Exhibition Hall 7&8, Makuhari Messe)

convener:Shunji Kotsuki(Center for Environmental Remote Sensing, Chiba University), Daisuke Hotta(Meteorological Research Institute), Yuki Yasuda(Institute of Science Tokyo), Thomas Sekiyama(Meteorological Research Institute), Chairperson:Yuki Yasuda(Institute of Science Tokyo)

In the digital era, data-driven techniques are transforming our understanding and prediction capabilities of complex earth systems. This session aims to explore the cutting-edge methodological and applicational studies for weather, climate and hydrological predictions.
Key themes includes: (1) methodological studies to deepen data-driven approaches for geoscience problems, (2) machine/deep learning studies applied for extreme weather-related disasters, (3) climate predictive analysis to discern climate variability, trends, and anomalies, (4) integrating remote sensing and ground data to refine prediction models.
This session aims to foster a rich dialogue among experts, highlighting both the advancements and challenges in data-driven environmental modeling. Participants will gain insights into current best practices and envision the future trajectory of this rapidly evolving domain.

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9:00 AM - 9:15 AM

[MGI27-01] Global precipitation nowcasting with ConvLSTM and adversarial training

★Invited Papers

*Shigenori Otsuka¹, Takemasa Miyoshi¹ (1.RIKEN)

9:15 AM - 9:30 AM

[MGI27-02] Conditional Deep Diffusion Modeling for GSMaP Inpainting

*Daiko Kishikawa¹, Yuka Muto¹, Shunji Kotsuki^2,1 (1.Center for Environmental Remote Sensing, Chiba University, 2.Institute for Advanced Academic Research, Chiba University)

9:30 AM - 9:45 AM

[MGI27-03] Deep learning approach to subseasonal prediction of the western North Pacific subtropical high: transfer and multitask learning

*Yuki Maeda¹, Masaki Satoh¹ (1.Atmosphere and Ocean Research Institute, The University of Tokyo)

9:45 AM - 10:00 AM

[MGI27-04] Sequential analysis of tipping in high-dimensional complex systems with partially known dynamics

*Tomomasa Hirose¹, Yohei Sawada¹ (1.The University of Tokyo)

10:00 AM - 10:15 AM

[MGI27-05] Automatic Front Detection Using Deep Learning: Leveraging Temporal Data and Local Explanations with Attention Mechanisms

*Takumi Matsuda¹, Shoichi Shige¹, Kazumasa Aonashi¹ (1.Kyoto University)

10:15 AM - 10:30 AM

[MGI27-06] ClimaX-LETKF: A pure data-driven artificial intelligence-based ensemble weather forecasting system

*Akira Takeshima¹, Kenta Shiraishi¹, Atsushi Okazaki^2,1, Tadashi Tsuyuki¹, Shunji Kotsuki^2,1 (1.Center for Environmental Research, Chiba University, 2.Institute for Advanced Academic Research, Chiba University)

Session information