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Inferring upper-ocean submesoscale ageostrophic dyna-mics using a physics-informed constrained deep learning framework
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DOI：10.1016/j.ocemod.2026.102771.png)
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Abstract
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• Physics-constrained deep learning reconstructs submesoscale ageostrophic dynamics. • The model achieves high predictive skill in capturing submesoscale structures. • Adding physical constraints cuts reconstruction RMSE by ∼40% versus baseline.
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