2026· IEEE Geoscience and Remote Sensing Letters· Vol 23, pp. 1504705-1504705· 0 citations· 27 references
Abstract
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, Haiyang-2 (HY-2), and the surface waves investigation and monitoring (SWIM) instrument onboard the China–France Oceanography Satellite (CFOSAT), and applied to the 2014–2023 hindcasts. Validation against buoy observations during 2022–2023 shows that Unet reduces the root-mean-squared error (RMSE) from 0.65 to 0.53 m and increases the correlation coefficient (Cor) from 0.84 to 0.86. Unet also outperforms residual Unet (ResUNet), the Kalman filter (KF), and ensemble optimal interpolation (EnOI), whose RMSEs are 0.58, 0.63, and 0.64 m, respectively. Monthly mean SWH from the assimilated fields shows positive tendencies during 2014–2023, demonstrating the framework’s potential for regional decadal-scale variability analysis.
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.· IEEE Journal of Selected Top...· 0 citations
Daily reservoir water level reconstruction remains challenging when satellite observations are sparse and temporally irregular. This study proposes a framework integrating multisource remote sensing, gated recurrent unit (GRU) priors, and ensemble Kalman filtering/smoothing (EnKF/EnKS), using the Fengtan Reservoir as a...
Hai-Rong Zhang, Ming-Yang Zhang, Hong-Wei Zhang et al.· IEEE Geoscience and Remote S...· 0 citations
This study assesses the impact of assimilating remote sensing observations of significant wave height (SWH) and 10 m wind speed (WSPD) into the analysis using a weakly coupled data assimilation (WCDA) framework to improve ocean surface monitoring offshore of the Contiguous US (CONUS). We assimilated SWH and WSPD data f...
Panagiotis Mitsopoulos, Malaquias Peña, S. Flampouris et al.· Remote Sensing· 0 citations
Accurate and continuous monitoring of cyanobacterial blooms is essential for lake ecosystem management, but optical remote-sensing observations are frequently limited by cloud contamination and illumination conditions. To address this limitation, this study proposes a multi-source machine learning framework for daily l...
Hong-Ying Li, Qing-Yun Yan, Yuan-Jin Pan et al.· Remote Sensing· 0 citations
Accurate wet tropospheric correction (WTC) is essential for sea surface height (SSH) retrieval from the surface water and ocean topography (SWOT) wide-swath altimetry, especially in coastal regions where onboard microwave radiometer (MWR) observations are affected by land contamination. This letter quantifies the coast...
Xiang-Ying Miao, Kun-Ming Wang, Jia-Bao Chen et al.· IEEE Geoscience and Remote S...· 0 citations
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