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    On the Evaluation of Seasonal Variability of the Ocean Kinetic Energy

    Source: Journal of Physical Oceanography:;2017:;Volume( 047 ):;issue: 007::page 1675
    Author:
    Kang, Dujuan;Curchitser, Enrique N.
    DOI: 10.1175/JPO-D-17-0063.1
    Publisher: American Meteorological Society
    Abstract: AbstractThe seasonal cycles of the mean kinetic energy (MKE) and eddy kinetic energy (EKE) are compared in an idealized flow as well as in a realistic simulation of the Gulf Stream (GS) region based on three commonly used definitions: orthogonal, nonorthogonal, and moving-average filtered decompositions of the kinetic energy (KE). It is shown that only the orthogonal KE decomposition can define the physically consistent MKE and EKE that precisely represents the KEs of the mean flow and eddies, respectively. The nonorthogonal KE decomposition gives rise to a residual term that contributes to the seasonal variability of the eddies, and therefore the obtained EKE is not precisely defined. The residual term is shown to exhibit more significant seasonal variability than EKE in both idealized and realistic GS flows. Neglecting its influence leads to an inaccurate evaluation of the seasonal variability of both the eddies and the total flow. The decomposition using a moving-average filter also results in a nonnegligible residual term in both idealized and realistic GS flows. This type of definition does not ensure conservation of the total KE, even if taking into account the residual term. Moreover, it is shown that the annual cycles of the three types of EKEs or MKEs have different phases and amplitudes. The local differences of the EKE cycles are very prominent in the GS off-coast domain; however, because of the spatial inhomogeneity, the area-mean differences may not be significant.
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      On the Evaluation of Seasonal Variability of the Ocean Kinetic Energy

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    contributor authorKang, Dujuan;Curchitser, Enrique N.
    date accessioned2018-01-03T11:02:20Z
    date available2018-01-03T11:02:20Z
    date copyright5/22/2017 12:00:00 AM
    date issued2017
    identifier otherjpo-d-17-0063.1.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4246403
    description abstractAbstractThe seasonal cycles of the mean kinetic energy (MKE) and eddy kinetic energy (EKE) are compared in an idealized flow as well as in a realistic simulation of the Gulf Stream (GS) region based on three commonly used definitions: orthogonal, nonorthogonal, and moving-average filtered decompositions of the kinetic energy (KE). It is shown that only the orthogonal KE decomposition can define the physically consistent MKE and EKE that precisely represents the KEs of the mean flow and eddies, respectively. The nonorthogonal KE decomposition gives rise to a residual term that contributes to the seasonal variability of the eddies, and therefore the obtained EKE is not precisely defined. The residual term is shown to exhibit more significant seasonal variability than EKE in both idealized and realistic GS flows. Neglecting its influence leads to an inaccurate evaluation of the seasonal variability of both the eddies and the total flow. The decomposition using a moving-average filter also results in a nonnegligible residual term in both idealized and realistic GS flows. This type of definition does not ensure conservation of the total KE, even if taking into account the residual term. Moreover, it is shown that the annual cycles of the three types of EKEs or MKEs have different phases and amplitudes. The local differences of the EKE cycles are very prominent in the GS off-coast domain; however, because of the spatial inhomogeneity, the area-mean differences may not be significant.
    publisherAmerican Meteorological Society
    titleOn the Evaluation of Seasonal Variability of the Ocean Kinetic Energy
    typeJournal Paper
    journal volume47
    journal issue7
    journal titleJournal of Physical Oceanography
    identifier doi10.1175/JPO-D-17-0063.1
    journal fristpage1675
    journal lastpage1683
    treeJournal of Physical Oceanography:;2017:;Volume( 047 ):;issue: 007
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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