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Preprint Sep 2026

Diffusion-Based Super-Resolution of Adriatic Sea Oceanographic Fields

High-resolution oceanographic fields are critical for resolving mesoscale and sub-mesoscale coastal dynamics, yet their generation remains constrained by both computational cost and observational sparsity. We present OcDiffSR, a conditional denoising diffusion probabilistic model (DDPM) for oceanographic super-resoluti...

R. Srivastava, Muhammad Sarmad, Emanuele Mele et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Neptune: An AI model for Global Ocean Subseasonal Prediction

Subseasonal-to-seasonal (S2S) forecasting is societally critical, supporting decision-making in sectors ranging from water and agricultural management to disaster risk reduction, energy planning, and insurance. Achieving reliable predictions at these timescales requires representing the ocean and its dynamics, but trad...

Davide Donno, I. Epicoco, M. Cafaro et al. · 0 citations

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