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contributor authorChu, Peter C.
contributor authorIvanov, Leonid M.
contributor authorKorzhova, Tatiana P.
contributor authorMargolina, Tatiana M.
contributor authorMelnichenko, Oleg V.
date accessioned2017-06-09T14:35:09Z
date available2017-06-09T14:35:09Z
date copyright2003/04/01
date issued2003
identifier issn0739-0572
identifier otherams-2222.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4158646
description abstractThe 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.
publisherAmerican Meteorological Society
titleAnalysis of Sparse and Noisy Ocean Current Data Using Flow Decomposition. Part II: Applications to Eulerian and Lagrangian Data
typeJournal Paper
journal volume20
journal issue4
journal titleJournal of Atmospheric and Oceanic Technology
identifier doi10.1175/1520-0426(2003)20<492:AOSANO>2.0.CO;2
journal fristpage492
journal lastpage512
treeJournal of Atmospheric and Oceanic Technology:;2003:;volume( 020 ):;issue: 004
contenttypeFulltext


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