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    Probability Distribution of Vertical Longitudinal Shear Fluctuations

    Source: Journal of Applied Meteorology:;1972:;volume( 011 ):;issue: 006::page 918
    Author:
    Fichtl, George H.
    DOI: 10.1175/1520-0450(1972)011<0918:PDOVLS>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: In order to properly design aerospace systems (conventional airplanes, V/STOL vehicles, space vehicles, etc.) the engineer must consider the vertical structure of the horizontal wind during the launch and landing phases of flight. One way do this is with vertical two-point wind differences (wind shear). In turbulent flows like those found near the ground, wind shear is composed a steady-state part associated with the mean wind profile and a fluctuating part produced by atmospheric turbulence. Mean wind profile theory can be used to specify the steady-state wind shear; however, the fluctuating part is a stochastic process which can only be specified statistically. This paper discusses some recent measurements of third and fourth moments of vertical differences (shears) of longitudinal velocity fluctuations obtained in unstable air at the NASA 150 m meteorological lower site at Cape Kennedy, Fla. Each set of measurements consisted of longitudinal velocity fluctuation time histories obtained at the 18, 30, 60, 90, 120 and 150 m levels, so that 15 wind-shear time histories were obtained from each set of measurements. It appears that standardized third and forth moments S and K of wind shear are universal functions of ?z/z? and z?/L0, where ?z? is the vertical distance between the two points over which the wind difference is calculated, z? the height of the mid-point of ?z above natural grade, and L0 the surface Monin-Obukhov stability length. As ?z/z? ? 2, K ? 3, S ? 0, and S > 0, K > 3 for ?z/z? < 2. Thus, it appears that the joint distribution function of the longitudinal wind fluctuations at two levels is not bivariate Gaussian and that it can only be approximated with a Gaussian distribution for sufficiently large value of ?z/z?. The kurtosis K appears to be independent of z?/L0. However, the skewness S seems to experience a rather abrupt transition at z?/L0?O(?1). The implications of these and other results relative to the design and operation of aerospace vehicles are discussed.
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      Probability Distribution of Vertical Longitudinal Shear Fluctuations

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4227467
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    contributor authorFichtl, George H.
    date accessioned2017-06-09T17:22:53Z
    date available2017-06-09T17:22:53Z
    date copyright1972/09/01
    date issued1972
    identifier issn0021-8952
    identifier otherams-8416.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4227467
    description abstractIn order to properly design aerospace systems (conventional airplanes, V/STOL vehicles, space vehicles, etc.) the engineer must consider the vertical structure of the horizontal wind during the launch and landing phases of flight. One way do this is with vertical two-point wind differences (wind shear). In turbulent flows like those found near the ground, wind shear is composed a steady-state part associated with the mean wind profile and a fluctuating part produced by atmospheric turbulence. Mean wind profile theory can be used to specify the steady-state wind shear; however, the fluctuating part is a stochastic process which can only be specified statistically. This paper discusses some recent measurements of third and fourth moments of vertical differences (shears) of longitudinal velocity fluctuations obtained in unstable air at the NASA 150 m meteorological lower site at Cape Kennedy, Fla. Each set of measurements consisted of longitudinal velocity fluctuation time histories obtained at the 18, 30, 60, 90, 120 and 150 m levels, so that 15 wind-shear time histories were obtained from each set of measurements. It appears that standardized third and forth moments S and K of wind shear are universal functions of ?z/z? and z?/L0, where ?z? is the vertical distance between the two points over which the wind difference is calculated, z? the height of the mid-point of ?z above natural grade, and L0 the surface Monin-Obukhov stability length. As ?z/z? ? 2, K ? 3, S ? 0, and S > 0, K > 3 for ?z/z? < 2. Thus, it appears that the joint distribution function of the longitudinal wind fluctuations at two levels is not bivariate Gaussian and that it can only be approximated with a Gaussian distribution for sufficiently large value of ?z/z?. The kurtosis K appears to be independent of z?/L0. However, the skewness S seems to experience a rather abrupt transition at z?/L0?O(?1). The implications of these and other results relative to the design and operation of aerospace vehicles are discussed.
    publisherAmerican Meteorological Society
    titleProbability Distribution of Vertical Longitudinal Shear Fluctuations
    typeJournal Paper
    journal volume11
    journal issue6
    journal titleJournal of Applied Meteorology
    identifier doi10.1175/1520-0450(1972)011<0918:PDOVLS>2.0.CO;2
    journal fristpage918
    journal lastpage925
    treeJournal of Applied Meteorology:;1972:;volume( 011 ):;issue: 006
    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
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