Type of Document Dissertation Author Choi, Seo-eun URN etd-07092007-135304 Title A Statistical Approach to an Ocean Circulation Inverse Problem Degree Doctor of Philosophy Department Statistics, Department of Advisory Committee
Advisor Name Title Fred W. Huffer Committee Co-Chair Kevin G. Speer Committee Co-Chair Craig Nolder Committee Member Wei Wu Committee Member Xufeng Niu Committee Member Keywords
- Gibbs Sampler
- Gulf Stream
Date of Defense 2007-07-05 Availability unrestricted AbstractThis dissertation presents, applies, and evaluates a statistical approach to an ocean circulation problem.
The objective is to produce a map of ocean velocity in the North Atlantic based
on sparse measurements along ship tracks, based on a Bayesian approach with a physical model.
The Stommel Gulf Stream model which
relates the wind stress curl to the transport stream function is the physical model.
A Gibbs sampler is used to extract features from the posterior velocity field. To specify the prior,
the equation of the Stommel Gulf Stream model on a two-dimensional grid is used.
Comparisons with earlier approaches used by oceanographers are also presented.
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