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    Reconstructing the Ocean's Interior from Surface Data

    Source: Journal of Physical Oceanography:;2013:;Volume( 043 ):;issue: 008::page 1611
    Author:
    Wang, Jinbo
    ,
    Flierl, Glenn R.
    ,
    LaCasce, Joseph H.
    ,
    McClean, Julie L.
    ,
    Mahadevan, Amala
    DOI: 10.1175/JPO-D-12-0204.1
    Publisher: American Meteorological Society
    Abstract: 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.
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      Reconstructing the Ocean's Interior from Surface Data

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4226466
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    contributor authorWang, Jinbo
    contributor authorFlierl, Glenn R.
    contributor authorLaCasce, Joseph H.
    contributor authorMcClean, Julie L.
    contributor authorMahadevan, Amala
    date accessioned2017-06-09T17:19:43Z
    date available2017-06-09T17:19:43Z
    date copyright2013/08/01
    date issued2013
    identifier issn0022-3670
    identifier otherams-83261.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4226466
    description abstractnew 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.
    publisherAmerican Meteorological Society
    titleReconstructing the Ocean's Interior from Surface Data
    typeJournal Paper
    journal volume43
    journal issue8
    journal titleJournal of Physical Oceanography
    identifier doi10.1175/JPO-D-12-0204.1
    journal fristpage1611
    journal lastpage1626
    treeJournal of Physical Oceanography:;2013:;Volume( 043 ):;issue: 008
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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    yabeshDSpacePersian