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    HATS: Field Observations to Obtain Spatially Filtered Turbulence Fields from Crosswind Arrays of Sonic Anemometers in the Atmospheric Surface Layer

    Source: Journal of the Atmospheric Sciences:;2004:;Volume( 061 ):;issue: 013::page 1566
    Author:
    Horst, T. W.
    ,
    Kleissl, J.
    ,
    Lenschow, D. H.
    ,
    Meneveau, C.
    ,
    Moeng, C.-H.
    ,
    Parlange, M. B.
    ,
    Sullivan, P. P.
    ,
    Weil, J. C.
    DOI: 10.1175/1520-0469(2004)061<1566:HFOTOS>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: The Horizontal Array Turbulence Study (HATS) field program utilized horizontal, crosswind arrays of sonic anemometers to calculate estimates of spatially filtered and subfilter-scale (SFS) turbulence, corresponding to its partitioning in large-eddy simulations (LESs) of atmospheric flows. Measurements were made over a wide range of atmospheric stability and for z/?f nominally equal to 0.25, 0.5, 1.0, and 2.0, where z is height and ?f is the width of the spatial filter. This paper examines the viability of the crosswind array technique by analyzing uncertainties in the filtered turbulence fields. Aliasing in the crosswind direction, caused by the discrete spacing of the sonic anemometers, is found to be minimal except for the spatially filtered vertical velocity and for SFS second moments. In those cases, aliasing errors become significant when the sonic spacing is greater than the wavelength at the peak in the crosswind spectrum of vertical velocity. Aliasing errors are estimated to be of a similar magnitude for the crosswind gradients of filtered variables. Surrogate streamwise filtering is performed by assuming Taylor's hypothesis and using the mean wind speed U to interpret sonic time series as spatial data. The actual turbulence advection velocity Uc is estimated from the cross correlation between data from HATS sonics separated in the streamwise direction. These estimates suggest that, for near-neutral stratification, the ratio Uc/U depends on the turbulence variable and is typically between 1.0 and 1.2. Analysis of LES turbulence fields for a neutrally stratified boundary layer finds that the correlation between the true spatially filtered SFS stress component τ13 and the same variable obtained with surrogate streamwise filtering exceeds 0.98 for z/?f > 0.25. Within the limits noted, it is concluded that the horizontal array technique is sufficient for the estimation of resolved and SFS turbulence variables.
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      HATS: Field Observations to Obtain Spatially Filtered Turbulence Fields from Crosswind Arrays of Sonic Anemometers in the Atmospheric Surface Layer

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4160069
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    • Journal of the Atmospheric Sciences

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    contributor authorHorst, T. W.
    contributor authorKleissl, J.
    contributor authorLenschow, D. H.
    contributor authorMeneveau, C.
    contributor authorMoeng, C.-H.
    contributor authorParlange, M. B.
    contributor authorSullivan, P. P.
    contributor authorWeil, J. C.
    date accessioned2017-06-09T14:38:48Z
    date available2017-06-09T14:38:48Z
    date copyright2004/07/01
    date issued2004
    identifier issn0022-4928
    identifier otherams-23500.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4160069
    description abstractThe Horizontal Array Turbulence Study (HATS) field program utilized horizontal, crosswind arrays of sonic anemometers to calculate estimates of spatially filtered and subfilter-scale (SFS) turbulence, corresponding to its partitioning in large-eddy simulations (LESs) of atmospheric flows. Measurements were made over a wide range of atmospheric stability and for z/?f nominally equal to 0.25, 0.5, 1.0, and 2.0, where z is height and ?f is the width of the spatial filter. This paper examines the viability of the crosswind array technique by analyzing uncertainties in the filtered turbulence fields. Aliasing in the crosswind direction, caused by the discrete spacing of the sonic anemometers, is found to be minimal except for the spatially filtered vertical velocity and for SFS second moments. In those cases, aliasing errors become significant when the sonic spacing is greater than the wavelength at the peak in the crosswind spectrum of vertical velocity. Aliasing errors are estimated to be of a similar magnitude for the crosswind gradients of filtered variables. Surrogate streamwise filtering is performed by assuming Taylor's hypothesis and using the mean wind speed U to interpret sonic time series as spatial data. The actual turbulence advection velocity Uc is estimated from the cross correlation between data from HATS sonics separated in the streamwise direction. These estimates suggest that, for near-neutral stratification, the ratio Uc/U depends on the turbulence variable and is typically between 1.0 and 1.2. Analysis of LES turbulence fields for a neutrally stratified boundary layer finds that the correlation between the true spatially filtered SFS stress component τ13 and the same variable obtained with surrogate streamwise filtering exceeds 0.98 for z/?f > 0.25. Within the limits noted, it is concluded that the horizontal array technique is sufficient for the estimation of resolved and SFS turbulence variables.
    publisherAmerican Meteorological Society
    titleHATS: Field Observations to Obtain Spatially Filtered Turbulence Fields from Crosswind Arrays of Sonic Anemometers in the Atmospheric Surface Layer
    typeJournal Paper
    journal volume61
    journal issue13
    journal titleJournal of the Atmospheric Sciences
    identifier doi10.1175/1520-0469(2004)061<1566:HFOTOS>2.0.CO;2
    journal fristpage1566
    journal lastpage1581
    treeJournal of the Atmospheric Sciences:;2004:;Volume( 061 ):;issue: 013
    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