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    Estimating Four-Dimensional Internal Wave Spectrum in the Northern South China Sea

    Source: Journal of Atmospheric and Oceanic Technology:;2019:;volume 036:;issue 007::page 1199
    Author:
    Sun, Hui
    ,
    Zhao, Wei
    ,
    Yang, Qingxuan
    ,
    Cai, Shuqun
    ,
    Liang, Xinfeng
    ,
    Tian, Jiwei
    DOI: 10.1175/JTECH-D-18-0046.1
    Publisher: American Meteorological Society
    Abstract: AbstractInternal waves can transfer energy from large-scale to microscale processes; however, the spectra of these waves remain poorly known. A method that combines modal harmonic decomposition and maximum-likelihood method is proposed in this study to estimate four-dimensional internal wave spectrum using limited mooring observations. Using this method, a four-dimensional internal wave spectrum was obtained for the first time based on the mooring measurements collected during the South China Sea (SCS) Internal Wave Experiment in July 2014. The spectrum was then validated by comparing with the spectrum based on Fourier analysis and with the modified Garrett?Munk internal wave spectrum, respectively. The power of the internal wave spectrum decreased obviously with increasing frequency and wavenumber, with a falloff rate of ??2 beyond tidal frequencies, and with falloff rates of kh?2 and kz?2.5 for horizontal and vertical wavenumbers, respectively. In addition, at a fixed frequency and vertical wavenumber, the propagation direction and phase speed of internal waves can be obtained through the four-dimensional spectrum. In summary, we verified the feasibility of estimating four-dimensional internal wave spectrum using limited mooring observations in this study, and the method we proposed should be applicable to other regions where such mooring observations are available.
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      Estimating Four-Dimensional Internal Wave Spectrum in the Northern South China Sea

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4263328
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    • Journal of Atmospheric and Oceanic Technology

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    contributor authorSun, Hui
    contributor authorZhao, Wei
    contributor authorYang, Qingxuan
    contributor authorCai, Shuqun
    contributor authorLiang, Xinfeng
    contributor authorTian, Jiwei
    date accessioned2019-10-05T06:45:34Z
    date available2019-10-05T06:45:34Z
    date copyright4/3/2019 12:00:00 AM
    date issued2019
    identifier otherJTECH-D-18-0046.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4263328
    description abstractAbstractInternal waves can transfer energy from large-scale to microscale processes; however, the spectra of these waves remain poorly known. A method that combines modal harmonic decomposition and maximum-likelihood method is proposed in this study to estimate four-dimensional internal wave spectrum using limited mooring observations. Using this method, a four-dimensional internal wave spectrum was obtained for the first time based on the mooring measurements collected during the South China Sea (SCS) Internal Wave Experiment in July 2014. The spectrum was then validated by comparing with the spectrum based on Fourier analysis and with the modified Garrett?Munk internal wave spectrum, respectively. The power of the internal wave spectrum decreased obviously with increasing frequency and wavenumber, with a falloff rate of ??2 beyond tidal frequencies, and with falloff rates of kh?2 and kz?2.5 for horizontal and vertical wavenumbers, respectively. In addition, at a fixed frequency and vertical wavenumber, the propagation direction and phase speed of internal waves can be obtained through the four-dimensional spectrum. In summary, we verified the feasibility of estimating four-dimensional internal wave spectrum using limited mooring observations in this study, and the method we proposed should be applicable to other regions where such mooring observations are available.
    publisherAmerican Meteorological Society
    titleEstimating Four-Dimensional Internal Wave Spectrum in the Northern South China Sea
    typeJournal Paper
    journal volume36
    journal issue7
    journal titleJournal of Atmospheric and Oceanic Technology
    identifier doi10.1175/JTECH-D-18-0046.1
    journal fristpage1199
    journal lastpage1216
    treeJournal of Atmospheric and Oceanic Technology:;2019:;volume 036:;issue 007
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian