A depth-aware conditional diffusion model reconstructs high-resolution 3D ocean states from extremely sparse surface observations in the Gulf of Mexico.
Applications of deep learning to ocean data inference and subgrid parameterization.Journal of Advances in Modeling Earth Systems, 11:376– 399
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High-resolution probabilistic estimation of three-dimensional regional ocean dynamics from sparse surface observations
A depth-aware conditional diffusion model reconstructs high-resolution 3D ocean states from extremely sparse surface observations in the Gulf of Mexico.