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Author

J. Le Sommer

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#machine learning Preprint Sep 2026

Calibrating subgrid parametrizations of single-column ocean models via simulation-based inference

Subgrid parametrizations of vertical mixing in ocean models depend on free coefficients that cannot be measured directly and must be calibrated against high-fidelity references such as large-eddy simulations (LES). Existing approaches return point estimates and leave the associated uncertainty unquantified, a limitatio...

Luben M. C. Cabezas, Sacha Wendling, Aurèle Gallard et al. · 0 citations
Open access 2025

OceanBench: A Benchmark for Data-Driven Global Ocean Forecasting systems

OceanBench is a benchmark designed to evaluate and accelerate global short-range data-driven ocean forecasting, constructed from a curated dataset comprising first-guess trajectories, nowcasts, and atmospheric forcings from operational physical ocean models, typically unavailable in public datasets due to assimilation...

A. El Aouni, Quentin Gaudel, J. E. Johnson et al. · 7 citations · ⚡2

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