Analysis of Sparse and Noisy Ocean Current Data Using Flow Decomposition. Part II: Applications to Eulerian and Lagrangian Data
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Authors
Ivanov, Leonid M.
Korzhova, Tatiana P.
Margolina, Tatiana M.
Melnichenko, Oleg V.
Chu, Peter C.
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Date of Issue
2003-04
Date
2003-04
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Abstract
The capability of the reconstruction scheme developed in Part I is demonstrated here through three practical
applications. First, the nonlinear regression model is used to reproduce the upper-layer three-dimensional circulation
of the eastern Black Sea from model data distorted by white and red noises. Second, the quasigeostrophic
approximation is used to reconstruct the shallow water circulation pattern in an open domain with various
sampling strategies. Third, the large-scale circulation in the Southern Ocean is reproduced from the First Global
Atmospheric Research Program (GARP) Global Experiment (FGGE) drifter data with noncontrollable noise
statistics. All three cases confirm that the theoretical approach is robust to various noise-to-signal ratios, number
of observations, and station disposition. Using the simplified open boundary condition for analyzing long-term
observational data is recommended because the nonlinear regression procedure requires considerable computer
resources.
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Article
Description
Part 2
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Oceanography
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This research was sponsored by the Office of Naval Research, Naval Oceanographic Office, and the Naval Postgraduate School.Leonid Ivanov also thanks the International Field Office of the Office of Naval Research for support under the Grant N00014-02-1-4058. This work was partially conducted by Leonid Ivanov while he held a National Research Council Research Associateship Award at the Naval Postgraduate School, and while he visited the University of Delaware.
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Chu, P.C., L.M. Ivanov, T.P. Korzhova, T.M. Margolina, and O.M. Melnichenko, 2003: Analysis of sparse and noisy ocean current data using flow decomposition (paper download). Part 2: Application to Eulerian and Lagrangian data. Journal of Atmospheric and Oceanic Technology, American Meteorological Society, 20, 492-512.
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This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.