Large-scale mid-depth North Atlantic circulation identified from Argo float trajectory data using the optimal spectral decomposition method
Tenth Symposium on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS), American Meteorological Society, Atlanta, Georgia, January 30 - February 3, 2006. Contributed Paper
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ftnavalpschool:oai:calhoun.nps.edu:10945/42409 2024-06-09T07:47:59+00:00 Large-scale mid-depth North Atlantic circulation identified from Argo float trajectory data using the optimal spectral decomposition method Title on document: Large-Scale Mid-Depth North Atlantic Circulation Identified from ARGO Float Trajectory Data Chu, Peter C. Ivanov, L.M. Melnichenko, O.V. N. Wells Oceanography 2006 application/pdf https://hdl.handle.net/10945/42409 unknown Chu, P.C., L.M. Ivanov, and O. V. Melnichenko, and N. Wells, Large-scale mid-depth North Atlantic circulation identified from Argo float trajectory data using the optimal spectral decomposition method. Tenth Symposium on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS), American Meteorological Society, Atlanta, Georgia, January 30 - February 3, 2006. https://hdl.handle.net/10945/42409 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. Presentation 2006 ftnavalpschool 2024-05-15T00:55:15Z Tenth Symposium on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS), American Meteorological Society, Atlanta, Georgia, January 30 - February 3, 2006. Contributed Paper Conference Object North Atlantic Naval Postgraduate School: Calhoun |
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Naval Postgraduate School: Calhoun |
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Tenth Symposium on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS), American Meteorological Society, Atlanta, Georgia, January 30 - February 3, 2006. Contributed Paper |
author2 |
Oceanography |
format |
Conference Object |
author |
Chu, Peter C. Ivanov, L.M. Melnichenko, O.V. N. Wells |
spellingShingle |
Chu, Peter C. Ivanov, L.M. Melnichenko, O.V. N. Wells Large-scale mid-depth North Atlantic circulation identified from Argo float trajectory data using the optimal spectral decomposition method |
author_facet |
Chu, Peter C. Ivanov, L.M. Melnichenko, O.V. N. Wells |
author_sort |
Chu, Peter C. |
title |
Large-scale mid-depth North Atlantic circulation identified from Argo float trajectory data using the optimal spectral decomposition method |
title_short |
Large-scale mid-depth North Atlantic circulation identified from Argo float trajectory data using the optimal spectral decomposition method |
title_full |
Large-scale mid-depth North Atlantic circulation identified from Argo float trajectory data using the optimal spectral decomposition method |
title_fullStr |
Large-scale mid-depth North Atlantic circulation identified from Argo float trajectory data using the optimal spectral decomposition method |
title_full_unstemmed |
Large-scale mid-depth North Atlantic circulation identified from Argo float trajectory data using the optimal spectral decomposition method |
title_sort |
large-scale mid-depth north atlantic circulation identified from argo float trajectory data using the optimal spectral decomposition method |
publishDate |
2006 |
url |
https://hdl.handle.net/10945/42409 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
Chu, P.C., L.M. Ivanov, and O. V. Melnichenko, and N. Wells, Large-scale mid-depth North Atlantic circulation identified from Argo float trajectory data using the optimal spectral decomposition method. Tenth Symposium on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS), American Meteorological Society, Atlanta, Georgia, January 30 - February 3, 2006. https://hdl.handle.net/10945/42409 |
op_rights |
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. |
_version_ |
1801379492746231808 |