JpGU-AGU Joint Meeting 2026

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[E] Oral

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

[M-GI34] Data-driven approaches for weather and hydrological predictions

Mon. May 25, 2026 10:45 AM - 12:15 PM 106 (International Conference Hall, Makuhari Messe)

Chairperson:Sawada Yohei(The University of Tokyo), Kotsuki Shunji(Center for Environmental Remote Sensing, Chiba University)

11:30 AM - 11:45 AM

[MGI34-10] Influence of Training Data Dependence in Machine-Learning Front Detection on Long-Term Trends of Frontal Statistics

*Takumi Matsuda1, Shoichi Shige1, Kazumasa Aonashi1 (1. Graduate School of Science, Kyoto University)

Keywords:deep learning, weather fronts