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...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Jingwei Xu, Yangyang Zhang, Xiefei Zhi, Ziqi Ma, Xiuzhi Zhang, Ying Xu, Yong Luo, Lisha Kong, Lin Yi
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-11-01
Edice:	Remote Sensing
Témata:	deep learning significant wave height validation China’s offshore waters
On-line přístup:	https://www.mdpi.com/2072-4292/17/23/3802
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!