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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/26329


    Title: Probability density functions of turbulent velocity and temperature in the atmospheric surface layer
    Authors: Chu,CR;Parlange,MB;Katul,GG;Albertson,JD
    Contributors: 土木工程研究所
    Keywords: EXPONENTIAL TAILS;BOUNDARY-LAYERS;CONVECTION;FLUXES;FLOWS
    Date: 1996
    Issue Date: 2010-06-29 17:10:55 (UTC+8)
    Publisher: 中央大學
    Abstract: The probability density functions (pdf's) for the longitudinal and vertical velocities, temperature, their derivatives, and momentum and sensible heat fluxes were measured in the atmospheric surface layer for a wide range of atmospheric stability conditions. The measured pdf's for both the velocity and the temperature fluctuations are near-Gaussian and consistent with corresponding laboratory measurements for near-neutral and stable stability conditions. Hence the first- and second-order moments are sufficient to predict the heat and momentum flux pdf's. The lower-order moments can be estimated from mean meteorological conditions using surface layer similarity theory. For unstable conditions the pdf for temperature is non-Gaussian and is strongly skewed due to local convective thermal plumes. For near-neutral and stable conditions the pdf's for the velocity and temperature longitudinal gradients have long exponential tails, in agreement with findings in laboratory experiments and numerical simulations.
    Relation: WATER RESOURCES RESEARCH
    Appears in Collections:[土木工程研究所] 期刊論文

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