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dc.contributor.authorLin, Ying-Tsong
dc.contributor.authorNewhall, Arthur E.
dc.contributor.authorDuda, Timothy F.
dc.contributor.authorLermusiaux, Pierre F. J.
dc.contributor.authorHaley, Patrick
dc.date.accessioned2012-06-14T15:11:39Z
dc.date.available2012-06-14T15:11:39Z
dc.date.issued2010-10
dc.date.submitted2010-05
dc.identifier.issn0364-9059
dc.identifier.issn1558-1691
dc.identifier.otherINSPEC Accession Number: 11673997
dc.identifier.urihttp://hdl.handle.net/1721.1/71144
dc.description.abstractIn this paper, a method for merging partial overlapping time series of ocean profiles into a single time series of profiles using empirical orthogonal function (EOF) decomposition with the objective analysis is presented. The method is used to handle internal waves passing two or more mooring locations from multiple directions, a situation where patterns of variability cannot be accounted for with a simple time lag. Data from one mooring are decomposed into linear combination of EOFs. Objective analysis using data from another mooring and these patterns is then used to build the necessary profile for merging the data, which is a linear combination of the EOFs. This method is applied to temperature data collected at a two vertical moorings in the 2006 New Jersey Shelf Shallow Water Experiment (SW06). Resulting profiles specify conditions for 35 days from sea surface to seafloor at a primary site and allow for reliable acoustic propagation modeling, mode decomposition, and beamforming.en_US
dc.description.sponsorshipUnited States. Office of Naval Research (Grant N00014-04-1-0146)en_US
dc.description.sponsorshipUnited States. Office of Naval Research (Grant N00014-05-1- 0482)en_US
dc.description.sponsorshipUnited States. Office of Naval Research (Postdoctoral Fellowship Award under Grant N00014-08-1-0204)en_US
dc.description.sponsorshipUnited States. Office of Naval Research (Grant N00014-07-1-1061)en_US
dc.description.sponsorshipUnited States. Office of Naval Research (Grant N00014-07-1-0501)en_US
dc.description.sponsorshipUnited States. Office of Naval Research (Grant N00014-08-1-1097)en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/joe.2010.2052875en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceIEEEen_US
dc.titleMerging Multiple-Partial-Depth Data Time Series Using Objective Empirical Orthogonal Function Fittingen_US
dc.typeArticleen_US
dc.identifier.citationLin, Ying-Tsong et al. “Merging Multiple-Partial-Depth Data Time Series Using Objective Empirical Orthogonal Function Fitting.” IEEE Journal of Oceanic Engineering 35.4 (2010): 710–721. Web. ©2010 IEEE.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.approverLermusiaux, Pierre F. J.
dc.contributor.mitauthorLermusiaux, Pierre F. J.
dc.contributor.mitauthorHaley, Patrick
dc.relation.journalIEEE Journal of Oceanic Engineeringen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsLin, Ying-Tsong; Newhall, Arthur E.; Duda, Timothy F.; Lermusiaux, Pierre F. J.; Haley, Patrick J.en
dc.identifier.orcidhttps://orcid.org/0000-0002-1869-3883
mit.licensePUBLISHER_POLICYen_US


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