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