A Hessian-Based Method for Uncertainty Quantification in Global Ocean State Estimation

Abstract

Derivative-based methods are developed for uncertainty quantification (UQ) in largescale ocean state estimation. The estimation system is based on the adjoint method for solving a least-squares optimization problem, whereby the state-of-the-art MIT general circulation model (MITgcm) is fit to observations. The UQ framework is applied to quantify Drake… (More)
DOI: 10.1137/130925311

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