Author

Dominique Béréziat

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#machine learning Preprint Sep 2026

Drift Field Net: Learning Ocean Lagrangian advection fields from in-situ and satellite observations

DFN is a deep neural network that predicts ocean surface flow fields from operational satellite observations that reduces the mean positioning error after a 7-day forecast compared with the operational model and demonstrates the potential of deep learning for ocean surface flow prediction.

T. Archambault, Pierre Garcia, Mattia Romero et al. · 0 citations

Jul 2026

BG4Sea: Biogeochemical Seasonal Forecastability via Progressive Information Scaling

BG4Sea is introduced, which to this knowledge is the first global, data-driven system to produce multivariate seasonal forecasts of the marine biogeochemical state, and predictability attribution to each component is discussed, alongside the model's structural limitations.

Gabriela Martinez Balbontin, A. Charantonis, Dominique Béréziat et al. · arXiv.org · 0 citations