[E] Poster
M (Multidisciplinary and Interdisciplinary) » M-GI General Geosciences, Information Geosciences & Simulations
Mon. May 25, 2026 5:15 PM - 7:00 PM Poster Hall (Exhibition Hall 7&8, Makuhari Messe)
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.
5:15 PM - 7:00 PM
*Young gu Her1, Minhyuk Jeung1 (1. University of Florida)
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5:15 PM - 7:00 PM
*Keigo Sato1, Yusaku Katsuragi1, Yasumasa Matsuda1 (1. Tohoku University)
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5:15 PM - 7:00 PM
*Shih-Meng Hsu1, Cheng-Jun Zheng1 (1. National Taiwan Ocean University)
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5:15 PM - 7:00 PM
*Young Jun Kim1, Gibeom Nam1, Euiho Hwang2 (1. Senior Researcher, K-water Satellite Research Center, K-water Research Institute, Daejeon, South Korea, 2. General Director, K-water Satellite Research Center, K-water Research Institute, Daejeon, South Korea)
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