JSM 2011 Online Program

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Abstract Details

Activity Number: 406
Type: Contributed
Date/Time: Tuesday, August 2, 2011 : 2:00 PM to 3:50 PM
Sponsor: Section on Bayesian Statistical Science
Abstract - #301113
Title: A Statistical Approach to an Ocean Circulation Inverse Problem
Author(s): Seo-eun Choi*+ and Fred W. Huffer and Kevin G. Speer
Companies: Arkansas State University and Florida State University and Florida State University
Address: Department of Mathematics and Statistics, State University, AR, 72467, USA
Keywords: MCMC ; Bayesian ; Inverse problem ; Spatial Statistics
Abstract:

It 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, 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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