Thu. May 30, 2024 3:30 PM - 4:45 PM 106 (International Conference Hall, Makuhari Messe)

convener:Shunji Kotsuki(Center for Environmental Remote Sensing, Chiba University), Daisuke Matsuoka(Japan Agency for Marine-Earth Science and Technology), Atsushi Okazaki(Chiba University), Yohei Sawada(The University of Tokyo), Chairperson:Yohei Sawada(The University of 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.