Bayesian hierarchical modeling of air-sea interaction

By means of Bayesian hierarchical modeling (BHM), we develop a model for aspects of vigorous air‐sea interactions on a basin scale. The approach relies on both physical reasoning and statistical techniques for data processing and uncertainty management. The theory and current practice of BHM of air‐...

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Bibliographic Details
Published in:Journal of Geophysical Research. C. Oceans 2003-04, Vol.108 (C4), p.1.1-n/a
Main Authors: Berliner, L. Mark, Milliff, Ralph F., Wikle, Christopher K.
Format: Article
Language:English
Subjects:
data assimilation
Earth, ocean, space
Exact sciences and technology
External geophysics
Geophysics. Techniques, methods, instrumentation and models
Marine
Monte Carlo
Physics of the oceans
quasigeostrophy
Sea-air exchange processes
uncertainty
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Summary:By means of Bayesian hierarchical modeling (BHM), we develop a model for aspects of vigorous air‐sea interactions on a basin scale. The approach relies on both physical reasoning and statistical techniques for data processing and uncertainty management. The theory and current practice of BHM of air‐sea interaction physics will be introduced and demonstrated in this paper. The demonstration is in the context of an observing system simulation experiment. An ocean “truth” simulation is driven by idealized surface winds in a testbed domain ed from the Labrador Sea. Artificial observations analogous to scatterometer and altimeter data are supplied to a BHM and comparisons made with the evolution of the “truth” simulation over a ten day experiment. Substantial attention is devoted to description of computational techniques.
ISSN:0148-0227
2169-9275
2156-2202
2169-9291
DOI:10.1029/2002JC001413