Analysis of Sparse and Noisy Ocean Current Data Using Flow Decomposition. Part II: Applications to Eulerian and Lagrangian Data

• Main Authors: Ivanov, Leonid M., Korzhova, Tatiana P., Margolina, Tatiana M., Melnichenko, Oleg V., Chu, Peter C.
• Other Authors: Oceanography
• Format: Article in Journal/Newspaper
• Language: unknown
• Published: 2003
• Subjects: Southern Ocean
• Online Access: https://hdl.handle.net/10945/36159

Part 2 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. 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.