A Hessian-Based Method for Uncertainty Quantification in Global Ocean State Estimation
Derivative-based methods are developed for uncertainty quantification (UQ) in large-scale 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 obser...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Society for Industrial and Applied Mathematics
2014
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| Online Access: | http://hdl.handle.net/1721.1/92547 https://orcid.org/0000-0002-5317-2573 https://orcid.org/0000-0003-3925-6161 |