Vertical structure of turbulence

Panofsky, H. A.; Singer, Irving A.

doi:10.1002/qj.49709138908

Cited by 26 publications

(5 citation statements)

References 4 publications

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“…The coherence of various velocity components in tower micrometeorological data (Davenport, 1961a;Panofsky and Singer, 1965;Pielke and Panofsky, 1971;Naito and Kondo, 1974;Panofsky et al, 1974;Brook, 1975;Seginer and Mulhearn, 1978;Kanda and Royles, 1978;Soucy et al, 1982;Bowen et al, 1983;Saranyasoontorn et al, 2004), investigations including the lateral/spanwise coherence (Kristensen and Jensen, 1979;Ropelewski et al, 1973;Panofsky and Mizuno, 1975;Perry et al, 1978;Kristensen, 1979;Kristensen et al, 1981;Schlez and Infield, 1998), the coherence of temperature fluctuations (Davison, 1976) and even meso-scale applications (typically in the horizontal directions) (Hanna and Chang, 1992;Woods et al, 2011;Vincent et al, 2013;Larsén et al, 2013;Mehrens et al, 2016). Together, these measurements cover a great variety of terrain and topography.…”

Section: Datasetmentioning

confidence: 99%

Vertical Coherence of Turbulence in the Atmospheric Surface Layer: Connecting the Hypotheses of Townsend and Davenport

Krug

Baars

Hutchins

et al. 2019

Boundary-Layer Meteorol

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Statistical descriptions of coherent flow motions in the atmospheric boundary layer have many applications in the wind engineering community. For instance, the dynamical characteristics of large-scale motions in wall-turbulence play an important role in predicting the dynamical loads on buildings, or the fluctuations in the power distribution across wind farms. Davenport (Quarterly a seminal study on the subject and proposed a hypothesis that is still widely used to date. Here, we demonstrate how the empirical formulation of Davenport is consistent with the analysis of Baars et al. (Journal of Fluid Mechanics, 2017, Vol. 823, R2) in the spirit of Townsend's attached-eddy hypothesis in wall turbulence. We further study stratification effects based on two-point measurements of atmospheric boundary-layer flow over the Utah salt flats. No self-similar scaling is observed in stable conditions, putting the application of Davenport's framework, as well as the attached eddy hypothesis, in question for this case. Data obtained under unstable conditions exhibit clear self-similar scaling and our analysis reveals a strong sensitivity of the statistical aspect ratio of coherent structures (defined as the ratio of streamwise and wall-normal extent) to the magnitude of the stability parameter.

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Section: Datasetmentioning

confidence: 99%

Vertical Coherence of Turbulence in the Atmospheric Surface Layer: Connecting the Hypotheses of Townsend and Davenport

Krug

Baars

Hutchins

et al. 2019

Boundary-Layer Meteorol

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“…16 is used, as illustrated by early works from e.g. Panofsky and Singer (1965) or Shiotani and Iwatani (1971). In the present paper, the root-coherence and the co-coherence are studied separately.…”

Section: Root-coherence and Co-coherencementioning

confidence: 99%

Application of short-range dual-Doppler lidars to evaluate the coherence of turbulence

et al. 2016

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Two synchronized continuous wave scanning lidars are used to study the coherence of the along-wind and across-wind velocity components. The goal is to evaluate the potential of the lidar technology for application in wind engineering. The wind lidars were installed on the Lysefjord Bridge during four days in May 2014 to monitor the wind field in the horizontal plane upstream of the bridge deck. Wind records obtained by five sonic anemometers mounted on the West side of the bridge are used as reference data. Single and two-point statistics of wind turbulence are studied, with special emphasis on the root-coherence and the co-coherence of turbulence. A four-parameter decaying exponential function has been fitted to the measured co-coherence and a good agreement is observed between data obtained by the sonic anemometers and the lidars. The root-coherence of turbulence is compared to theoretical models. The analytical predictions agree rather well with the measured coherence for the along-wind component. For increasing wavenumbers, larger discrepancies are however noticeable between the measured coherence and the theoretical predictions. The WindScanners are observed to slightly overestimate the integral length scales, which could not be explained by the laser beam averaging effect alone. On the other hand, the spatial

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“…Following Panofsky and Singer (1965), the correlation R(z2,z1) was expressed by an exponential function of z21/3-z11/3 and the result is shown in Fig. 15.…”

Section: Correlation Coefficient Between Two Heightsmentioning

confidence: 99%

“…The wind profile and gust structures were studied by Sherlock (1953) and Deacon (1955) over open level countries. Panofsky (1965), Singer (1964) and others were made analyses of the wind records measured in Brookhaven National Laboratory, U.S.A. and have obtained turbulent properties of the winds over the wooded land. In Japan, Soma (1964), Arakawa (1967) and others were made analyses of the wind records measured at Tokyo Tower located near a central part of Tokyo, and obtained the wind structures over the large city.…”

Section: Introductionmentioning

confidence: 99%

Turbulence Measurements at the Sea Coast during High Winds

Shiotani

1975

Journal of the Meteorological Society of Japan

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Turbulent properties of longitudinal wind velocities were studied from wind records observed in 150m meteorological tower on the coast. It was recognized that the wind from the sea was inflenced by the terrain features near the tower and the magnitude of turbulent velocities increased with decreasing height. The effect of terrain roughness was found clearly on the intensity of turbulence, but was hardly noticed on the scale of turbulence. The low-frequency part of power spectrum was greatly influenced by unknown causes except terrain roughness, and a considerable discrepancy was noticed from one observation to another. It would be hard to represent whole power spectra by one simple algebraic expression. The discrepancy was less between vertical correlations than between longitudinal scales. It might be expected from vertical correlations between various heights that a vertical scale was increasing and phase of gusts was advancing with increasing height.

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Vertical structure of turbulence

Cited by 26 publications

References 4 publications

Vertical Coherence of Turbulence in the Atmospheric Surface Layer: Connecting the Hypotheses of Townsend and Davenport

Vertical Coherence of Turbulence in the Atmospheric Surface Layer: Connecting the Hypotheses of Townsend and Davenport

Application of short-range dual-Doppler lidars to evaluate the coherence of turbulence

Turbulence Measurements at the Sea Coast during High Winds

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