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dc.contributor.authorThompson, Andrew F.
dc.contributor.authorFlierl, Glenn Richard
dc.contributor.authorChen, Ru, Ph. D. Massachusetts Institute of Technology
dc.date.accessioned2017-04-28T14:46:30Z
dc.date.available2017-04-28T14:46:30Z
dc.date.issued2016-09
dc.date.submitted2016-07
dc.identifier.issn0022-3670
dc.identifier.issn1520-0485
dc.identifier.urihttp://hdl.handle.net/1721.1/108489
dc.description.abstractInsight into the global ocean energy cycle and its relationship to climate variability can be gained by examining the temporal variability of eddy–mean flow interactions. A time-dependent version of the Lorenz energy diagram is formulated and applied to energetic ocean regions from a global, eddying state estimate. The total energy in each snapshot is partitioned into three components: energy in the mean flow, energy in eddies, and energy temporal anomaly residual, whose time mean is zero. These three terms represent, respectively, correlations between mean quantities, correlations between eddy quantities, and eddy-mean correlations. Eddy–mean flow interactions involve energy exchange among these three components. The temporal coherence about energy exchange during eddy–mean flow interactions is assessed. In the Kuroshio and Gulf Stream Extension regions, a suppression relation is manifested by a reduction in the baroclinic energy pathway to the eddy kinetic energy (EKE) reservoir following a strengthening of the barotropic energy pathway to EKE; the baroclinic pathway strengthens when the barotropic pathway weakens. In the subtropical gyre and Southern Ocean, a delay in energy transfer between different reservoirs occurs during baroclinic instability. The delay mechanism is identified using a quasigeostrophic, two-layer model; part of the potential energy in large-scale eddies, gained from the mean flow, cascades to smaller scales through eddy stirring before converting to EKE. The delay time is related to this forward cascade and scales linearly with the eddy turnover time. The relation between temporal variations in wind power input and eddy–mean flow interactions is also assessed.en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (OCE-1459702).en_US
dc.language.isoen_US
dc.publisherAmerican Meteorological Societyen_US
dc.relation.isversionofhttp://dx.doi.org/10.1175/JPO-D-16-0012.1en_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.titleTime-Dependent Eddy-Mean Energy Diagrams and Their Application to the Oceanen_US
dc.typeArticleen_US
dc.identifier.citationChen, Ru, Andrew F. Thompson, and Glenn R. Flierl. “Time-Dependent Eddy-Mean Energy Diagrams and Their Application to the Ocean.” Journal of Physical Oceanography 46.9 (2016): 2827–2850. © 2016 American Meteorological Societyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciencesen_US
dc.contributor.mitauthorFlierl, Glenn Richard
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.orderedauthorsChen, Ru; Thompson, Andrew F.; Flierl, Glenn R.en_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-3589-5249
mit.licensePUBLISHER_POLICYen_US


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