Analysis of Sparse and Noisy Ocean Current Data Using Flow Decomposition. Part II: Applications to Eulerian and Lagrangian Data
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 cir-culation of the eastern Black Sea from model data distorted by white and red noi...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.1025.8111 2023-05-15T18:25:19+02:00 Analysis of Sparse and Noisy Ocean Current Data Using Flow Decomposition. Part II: Applications to Eulerian and Lagrangian Data Ivanov Leonid M Peter C. Chu Leonid M. Ivanov Tatiana P. Korzhova Tatiana M. Margolina Oleg V. Melnichenko The Pennsylvania State University CiteSeerX Archives 2001 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1025.8111 en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1025.8111 Metadata may be used without restrictions as long as the oai identifier remains attached to it. https://calhoun.nps.edu/bitstream/handle/10945/36159/recon2.pdf?sequence%3D1 text 2001 ftciteseerx 2016-10-30T00:02:20Z 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 cir-culation 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. 1. Text Southern Ocean Unknown Southern Ocean |
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English |
description |
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 cir-culation 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. 1. |
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The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Ivanov Leonid M Peter C. Chu Leonid M. Ivanov Tatiana P. Korzhova Tatiana M. Margolina Oleg V. Melnichenko |
spellingShingle |
Ivanov Leonid M Peter C. Chu Leonid M. Ivanov Tatiana P. Korzhova Tatiana M. Margolina Oleg V. Melnichenko Analysis of Sparse and Noisy Ocean Current Data Using Flow Decomposition. Part II: Applications to Eulerian and Lagrangian Data |
author_facet |
Ivanov Leonid M Peter C. Chu Leonid M. Ivanov Tatiana P. Korzhova Tatiana M. Margolina Oleg V. Melnichenko |
author_sort |
Ivanov Leonid M |
title |
Analysis of Sparse and Noisy Ocean Current Data Using Flow Decomposition. Part II: Applications to Eulerian and Lagrangian Data |
title_short |
Analysis of Sparse and Noisy Ocean Current Data Using Flow Decomposition. Part II: Applications to Eulerian and Lagrangian Data |
title_full |
Analysis of Sparse and Noisy Ocean Current Data Using Flow Decomposition. Part II: Applications to Eulerian and Lagrangian Data |
title_fullStr |
Analysis of Sparse and Noisy Ocean Current Data Using Flow Decomposition. Part II: Applications to Eulerian and Lagrangian Data |
title_full_unstemmed |
Analysis of Sparse and Noisy Ocean Current Data Using Flow Decomposition. Part II: Applications to Eulerian and Lagrangian Data |
title_sort |
analysis of sparse and noisy ocean current data using flow decomposition. part ii: applications to eulerian and lagrangian data |
publishDate |
2001 |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1025.8111 |
geographic |
Southern Ocean |
geographic_facet |
Southern Ocean |
genre |
Southern Ocean |
genre_facet |
Southern Ocean |
op_source |
https://calhoun.nps.edu/bitstream/handle/10945/36159/recon2.pdf?sequence%3D1 |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1025.8111 |
op_rights |
Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
_version_ |
1766206683725430784 |