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Amortized Localized Posterior Inference for Model Calibration with Application to an Ocean Turbulence Closure
Not provided in the abstract
model calibrationuncertainty quantificationocean modelingvariational inference
2610.37731
Builder Relevance
1h ago70%
Abstract
The paper discusses a method for improving model calibration by using localized posteriors that account for uncertainties in observations and contexts.
Reality Card
Core Claim
Localized posterior calibration significantly reduces temperature and zonal-velocity errors in ocean models compared to deterministic and global-posterior calibration.
Method / Result
Localization reduces aggregate predictive errors relative to the global posterior.
Limitations
The method's effectiveness may vary based on the context distribution and the specific application, which could affect reproducibility.
Paper to code
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