Deep Learning Prediction of 30-Day Sea Surface Height Anomalies in the Kuroshio–Extension Region Using a Conv3D Encoder–Decoder Framework

Kalpesh Ravindra Patil

講演情報

[E] 口頭発表

セッション記号 A (大気水圏科学) » A-TT 計測技術・研究手法

[A-TT49] Machine Learning Techniques in Weather, Climate, Ocean, Hydrology and Disease Predictions

2026年5月27日(水) 15:30 〜 17:00 101 (幕張メッセ国際会議場)

座長:Martineau Patrick(Japan Agency for Marine-Earth Science and Technology)、Jayanthi Venkata Ratnam(Application Laboratory, JAMSTEC)

16:45 〜 17:00

[ATT49-12] Deep Learning Prediction of 30-Day Sea Surface Height Anomalies in the Kuroshio–Extension Region Using a Conv3D Encoder–Decoder Framework

*Kalpesh Ravindra Patil¹, Toru Miyama², Yasumasa Miyazawa³, Ratnam J. V.², Alessandro Damiani² (1. Researcher, APL, VAiG, JAMSTEC, 2. Senior Researcher, APL, VAiG, JAMSTEC, 3. Deputy Director, APL, VAiG, JAMSTEC)

キーワード：Sea Surface Height Anomaly, Kuroshio, Deep Learning, Northwest Pacific, Mesoscale Eddies, Persistence Model