Multidisciplinary and Interdisciplinary (M) | ||||
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Session Sub-category | General Geosciences, Information Geosciences & Simulations (GI) | |||
Session ID | M-GI26 | |||
Session Title | Data-driven approaches for weather and hydrological predictions | |||
Short Title | Data driven study in weather prediction | |||
Date & Time | Oral Session |
PM2 Thu, 30 MAY | ||
On-site Poster Coretime |
PM3 Thu, 30 MAY | |||
Main Convener | Name | Shunji Kotsuki | ||
Affiliation | Center for Environmental Remote Sensing, Chiba University | |||
Co-Convener 1 | Name | Daisuke Matsuoka | ||
Affiliation | Japan Agency for Marine-Earth Science and Technology | |||
Co-Convener 2 | Name | Atsushi Okazaki | ||
Affiliation | Chiba University | |||
Co-Convener 3 | Name | Yohei Sawada | ||
Affiliation | The University of Tokyo | |||
Session Language | E | |||
Scope (Session Description) |
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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Presentation Format | Oral and Poster | |||
Collaboration | Joint with | - | ||
Co-sponsoring Society |
Meteorological Society of Japan, Japan Society of Hydrology & Water Resources |