2017
DOI: 10.1063/1.4978803
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The variation of large-scale structure inclination angles in high Reynolds number atmospheric surface layers

Abstract: Field observations were performed to explore the variation of large-scale structure inclination angles in the high Reynolds number atmospheric surface layer (ASL). The high Reynolds number flow measurements [Reτ ∼ Ο (106)] were acquired at the Qingtu Lake observation array site. The structure inclination angles inferred from two-point correlations of the fluctuating streamwise velocity were obtained for different friction velocities in the neutral regime and different thermal stability conditions. Results indi… Show more

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Cited by 63 publications
(72 citation statements)
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“…This result is within the experimental error of such ASL observations suggested by the analysis of ASL experimental data in Metzger and Klewicki (), Kunkel and Marusic (), and Liu, Bo, et al. (). In addition, a comparison of the correlation coefficient at different Δ y values indicates that R uu decreases with increasing spanwise separation.…”
Section: Symmetry Of Two‐point Correlations In the Spanwise Directionsupporting
confidence: 87%
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“…This result is within the experimental error of such ASL observations suggested by the analysis of ASL experimental data in Metzger and Klewicki (), Kunkel and Marusic (), and Liu, Bo, et al. (). In addition, a comparison of the correlation coefficient at different Δ y values indicates that R uu decreases with increasing spanwise separation.…”
Section: Symmetry Of Two‐point Correlations In the Spanwise Directionsupporting
confidence: 87%
“…This is as expected because the ASL results reported in Liu, Bo, et al. () indicated that the inclination angle is approximately invariant when the reference height satisfies z ref <0.01 δ , while it increases with z ref at higher reference height. The inclined structure leads to an obvious streamwise shift of the horizontal section.…”
Section: Reconstructing the 3‐d Large‐scale Structuresupporting
confidence: 85%
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“…The streamwise velocity u was obtained by wind direction adjustment using the following formula: u=u0cosα+v0sinα α=arctan()truev0¯/trueu0¯ where u 0 and v 0 are the measured streamwise and spanwise velocities in the anemometer coordinate, respectively; the upper line means average. The measured data were split into multiple hourly time series to obtain converged statistics for the subsequent analysis (Hutchins et al, ; Liu, Bo, & Liang, ; Wang & Zheng, ). Our measuring height is between 0.9 and 30 m, which is approximately in the logarithmic region (Liu, Bo, & Liang, ; Liu, Wang, & Zheng, ; Wang & Zheng, ; Yang & Bo, ).…”
Section: Methodsmentioning
confidence: 99%
“…The measured data were split into multiple hourly time series to obtain converged statistics for the subsequent analysis (Hutchins et al, ; Liu, Bo, & Liang, ; Wang & Zheng, ). Our measuring height is between 0.9 and 30 m, which is approximately in the logarithmic region (Liu, Bo, & Liang, ; Liu, Wang, & Zheng, ; Wang & Zheng, ; Yang & Bo, ). Eleven CSAT3B anemometers were installed in a logarithmic manner in the vertical direction for z = 0.9, 1.71, 2.5, 3.49, 5, 7.15, 8.5, 10.3, 14.5, 20.9, 30 m. The friction velocity u τ and the aerodynamic roughness length z 0 were calculated by fitting the mean velocity profile through the least squares method based on the logarithmic law (Bagnold, ): utrue¯uτ=1κln()zz0 where κ is the von Karman constant, typically equals 0.41.…”
Section: Methodsmentioning
confidence: 99%