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National Aeronautics and Space Administration project
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Bayesian Hierarchical Air-Sea Interaction Modeling: Application to the Labrador Sea
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Objectives
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The objectives of the
four grants on the project are to use Bayesian hierarchical modeling
strategies to develop models for aspects of air-sea interactions in the
Labrador Sea.
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Approach
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Our approach incorporates both physics and
observational data in a way that accounts for uncertainties
implicit in both. We exploit remotely sensed observations
in the Labrador Sea region (i.e., scatterometry, altimetry),
as well as a surface MiniMET drifter dataset. Dynamical models
of the atmospheric and oceanic boundary layers will be used
to infer the ocean boundary-layer depths due to mechanical
forcing by the surface wind.
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Investigators
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- Mark Berliner, Department
of Statistics, The Ohio State University. Principal Investigator.
- Ralph F. Milliff, National Center for Atmospheric Research. Principal Investigator.
- Pearn P. Niiler, Scripps Institution of Oceanography. Principal Investigator.
- Christopher K. Wikle,
Department of Statistics, University of Missouri. Principal Investigator.
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