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Wei-Zeng Shao

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Open access 2026

Evaluating the Potential of Multisource Snow Depth for Improving ICESat-2 Arctic Sea Ice Thickness Retrieval

The accuracy of pan-Arctic sea ice thickness (SIT) derived from the Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) primarily depends on the representation of snow depth during the conversion from ICESat-2 laser freeboard to SIT. Here, we systematically assess ICESat-2 Arctic SIT retrievals by combining multiple...

Yu Zhang, Chang-Xin Li, Yi Zhou et al. · 0 citations
Open access 2026

UNet-SAR: Deep Learning for Simulating Synthetic Aperture Radar Sea Surface Roughness in Northwest Pacific Western Boundary Region

This study presents UNet-SAR, a deep-learning framework based on a U-shaped network (UNet) encoder–decoder architecture for simulating sea-surface roughness represented by vertical–vertical (VV)-polarized normalized radar cross section (NRCS) under complex sea states in the Northwest Pacific western boundary current re...

Xian-Bin Zhao, Jia-Le Chen, Wei-Zeng Shao et al. · 0 citations
2026

Remotely Sensed Data-Driven Deep Learning Assimilation for Wave in China Seas

This letter proposes a U-shaped network (Unet)-based postprocessing data-assimilation framework to improve hourly significant wave height (SWH) hindcasts from the finite-volume community ocean model (FVCOM)–simulating waves nearshore (SWAN) in the China Seas. Unet is trained with 2024 SWH observations from Jason-3, Hai...

Lu Liu, Wei-Zeng Shao, Xingai Song et al. · 0 citations

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