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    On the Quantification of Imbalance and Inertia–Gravity Waves Generated in Numerical Simulations of Moist Baroclinic Waves Using the WRF Model

    Source: Journal of the Atmospheric Sciences:;2017:;Volume( 074 ):;issue: 012::page 4241
    Author:
    Mirzaei, Mohammad;Mohebalhojeh, Ali R.;Zülicke, Christoph;Plougonven, Riwal
    DOI: 10.1175/JAS-D-16-0366.1
    Publisher: American Meteorological Society
    Abstract: AbstractQuantification of inertia?gravity waves (IGWs) generated by upper-level jet?surface front systems and their parameterization in global models of the atmosphere relies on suitable methods to estimate the strength of IGWs. A harmonic divergence analysis (HDA) that has been previously employed for quantification of IGWs combines wave properties from linear dynamics with a sophisticated statistical analysis to provide such estimates. A question of fundamental importance that arises is how the measures of IGW activity provided by the HDA are related to the measures coming from the wave?vortex decomposition (WVD) methods. The question is addressed by employing the nonlinear balance relations of the first-order δ??, the Bolin?Charney, and the first- to third-order Rossby number expansion to carry out WVD. The global kinetic energy of IGWs given by the HDA and WVD are compared in numerical simulations of moist baroclinic waves by the Weather Research and Forecasting (WRF) Model in a channel on the f plane. The estimates of the HDA are found to be 2?3 times smaller than those of the optimal WVD. This is in part due to the absence of a well-defined scale separation between the waves and vortical flows, the IGW estimates by the HDA capturing only the dominant wave packets and with limited scales. It is also shown that the difference between the HDA and WVD estimates is related to the width of the IGW spectrum.
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      On the Quantification of Imbalance and Inertia–Gravity Waves Generated in Numerical Simulations of Moist Baroclinic Waves Using the WRF Model

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    contributor authorMirzaei, Mohammad;Mohebalhojeh, Ali R.;Zülicke, Christoph;Plougonven, Riwal
    date accessioned2018-01-03T11:02:37Z
    date available2018-01-03T11:02:37Z
    date copyright9/18/2017 12:00:00 AM
    date issued2017
    identifier otherjas-d-16-0366.1.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4246477
    description abstractAbstractQuantification of inertia?gravity waves (IGWs) generated by upper-level jet?surface front systems and their parameterization in global models of the atmosphere relies on suitable methods to estimate the strength of IGWs. A harmonic divergence analysis (HDA) that has been previously employed for quantification of IGWs combines wave properties from linear dynamics with a sophisticated statistical analysis to provide such estimates. A question of fundamental importance that arises is how the measures of IGW activity provided by the HDA are related to the measures coming from the wave?vortex decomposition (WVD) methods. The question is addressed by employing the nonlinear balance relations of the first-order δ??, the Bolin?Charney, and the first- to third-order Rossby number expansion to carry out WVD. The global kinetic energy of IGWs given by the HDA and WVD are compared in numerical simulations of moist baroclinic waves by the Weather Research and Forecasting (WRF) Model in a channel on the f plane. The estimates of the HDA are found to be 2?3 times smaller than those of the optimal WVD. This is in part due to the absence of a well-defined scale separation between the waves and vortical flows, the IGW estimates by the HDA capturing only the dominant wave packets and with limited scales. It is also shown that the difference between the HDA and WVD estimates is related to the width of the IGW spectrum.
    publisherAmerican Meteorological Society
    titleOn the Quantification of Imbalance and Inertia–Gravity Waves Generated in Numerical Simulations of Moist Baroclinic Waves Using the WRF Model
    typeJournal Paper
    journal volume74
    journal issue12
    journal titleJournal of the Atmospheric Sciences
    identifier doi10.1175/JAS-D-16-0366.1
    journal fristpage4241
    journal lastpage4263
    treeJournal of the Atmospheric Sciences:;2017:;Volume( 074 ):;issue: 012
    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