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dc.contributor.authorMcClean, Julie L.
dc.contributor.authorMahadevan, Amala
dc.contributor.authorFlierl, Glenn Richard
dc.contributor.authorWang, Jinbo, Ph. D. Massachusetts Institute of Technology
dc.contributor.authorLaCasce, Joseph H., 1964-
dc.date.accessioned2014-06-13T19:13:11Z
dc.date.available2014-06-13T19:13:11Z
dc.date.issued2013-08
dc.date.submitted2013-03
dc.identifier.issn0022-3670
dc.identifier.issn1520-0485
dc.identifier.urihttp://hdl.handle.net/1721.1/87786
dc.description.abstractA new method is proposed for extrapolating subsurface velocity and density fields from sea surface density and sea surface height (SSH). In this, the surface density is linked to the subsurface fields via the surface quasigeostrophic (SQG) formalism, as proposed in several recent papers. The subsurface field is augmented by the addition of the barotropic and first baroclinic modes, whose amplitudes are determined by matching to the sea surface height (pressure), after subtracting the SQG contribution. An additional constraint is that the bottom pressure anomaly vanishes. The method is tested for three regions in the North Atlantic using data from a high-resolution numerical simulation. The decomposition yields strikingly realistic subsurface fields. It is particularly successful in energetic regions like the Gulf Stream extension and at high latitudes where the mixed layer is deep, but it also works in less energetic eastern subtropics. The demonstration highlights the possibility of reconstructing three-dimensional oceanic flows using a combination of satellite fields, for example, sea surface temperature (SST) and SSH, and sparse (or climatological) estimates of the regional depth-resolved density. The method could be further elaborated to integrate additional subsurface information, such as mooring measurements.en_US
dc.description.sponsorshipUnited States. National Aeronautics and Space Administration (NNX12AD47G)en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (OCE 0928617)en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (OCE-0752346)en_US
dc.language.isoen_US
dc.publisherAmerican Meteorological Societyen_US
dc.relation.isversionofhttp://dx.doi.org/10.1175/jpo-d-12-0204.1en_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.sourceAmerican Meteorological Societyen_US
dc.titleReconstructing the Ocean's Interior from Surface Dataen_US
dc.typeArticleen_US
dc.identifier.citationWang, Jinbo, Glenn R. Flierl, Joseph H. LaCasce, Julie L. McClean, and Amala Mahadevan. “Reconstructing the Ocean’s Interior from Surface Data.” J. Phys. Oceanogr. 43, no. 8 (August 2013): 1611–1626. © 2013 American Meteorological Societyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciencesen_US
dc.contributor.mitauthorFlierl, Glenn Richarden_US
dc.contributor.mitauthorMahadevan, Amalaen_US
dc.relation.journalJournal of Physical Oceanographyen_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.orderedauthorsWang, Jinbo; Flierl, Glenn R.; LaCasce, Joseph H.; McClean, Julie L.; Mahadevan, Amalaen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-3589-5249
dc.identifier.orcidhttps://orcid.org/0000-0002-7522-4100
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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