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 limitation when the inverse problem is ill-posed or when distinct parameter configurations fit the data comparably well. Simulation-based inference (SBI) addresses exactly this: given a prior and access to the simulator, it approximates the full posterior over parameters without requiring a tractable likelihood, at a cost set by the number of simulator evaluations. We apply it to \te...
| Authors | Luben M. C. Cabezas, Sacha Wendling, Aurèle Gallard et al. |
|---|---|
| Primary category | physics.ao-ph |
| Published | 3 September 2026 |
| Last updated at source | 3 September 2026 |
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