Reconstructed SWHs Based on a Deep Learning Method and the Revealed Long-Term SWH Variance Characteristics During 1993–2024

Long-term high-resolution spatial gridded altimeter-derived significant wave height (SWH) data with daily temporal resolution are fundamental to revealing the detailed processes through which weather systems influence the ocean. However, elucidation of those processes is hampered by the sparse cover...

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Detalhes bibliográficos

Principais autores:	Jingwei Xu, Yangyang Zhang, Xiefei Zhi, Ziqi Ma, Xiuzhi Zhang, Ying Xu, Yong Luo, Lisha Kong, Lin Yi
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-11-01
coleção:	Remote Sensing
Assuntos:	deep learning significant wave height validation China’s offshore waters
Acesso em linha:	https://www.mdpi.com/2072-4292/17/23/3802
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