3DV-Unet: Eddy-Resolving Reconstruction of Three-Dimensional Upper-Ocean Physical Fields from Satellite Observations

Three-dimensional (3D) ocean physical fields are essential for understanding ocean dynamics, but reconstructing them solely from sea-surface remote sensing remains challenging. We present 3DV-Unet, an end-to-end deep learning framework that reconstructs eddy-resolving three-dimensional essential oce...

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書誌詳細

出版年:	Remote Sensing
主要な著者:	Qiaoshi Zhu, Hongping Li, Haochen Sun, Tianyu Xia, Xiaoman Wang, Zijun Han
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2025-10-01
主題:	3D ocean reconstruction multi-source satellite observations deep learning Northwest Pacific South China Sea
オンライン･アクセス:	https://www.mdpi.com/2072-4292/17/19/3394