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AUWave: A Data-Driven Model for Reconstructing Significant Wave Heights Using Sparse Observations
Reconstructing high-resolution regional significant wave height (SWH) fields from sparse buoy observations is a critical challenge for ocean monitoring. We introduce AUWave, a hybrid deep learning framework that fuses a station-wise encoder with a multi-scale U-Net enhanced by self-attention to reco
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