Wind and Temperature Profile Characteristics from Observations on a 1400 ft Tower

Thuillier, Richard H.; Lappe, U. O.

doi:10.1175/1520-0450(1964)003<0299:watpcf>2.0.co;2

Cited by 54 publications

(14 citation statements)

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“…Wind observations on tall towers have been reported by several authors (DeMarrais, 1958;Thuillier and Lappe, 1964;Yamamoto and Shimanuki, 1964;Slade, 1968;Crawford and Hudson, 1970), the highest level of observation being 114 to 445 meters above the ground in these studies. The reported wind speed generally increases with height, and it is found that logarithmic or power law usually holds within the layer.…”

Section: Introductionsupporting

confidence: 64%

Small Wind-Shear Layer Observed at Kyoto University Reactor Site

Mizuma

1973

Journal of the Meteorological Society of Japan

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Section: Introductionsupporting

confidence: 64%

Small Wind-Shear Layer Observed at Kyoto University Reactor Site

Mizuma

1973

Journal of the Meteorological Society of Japan

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“…Von Kármán constant κ was taken as 0.4, z + is dimensionless height, ν is air viscosity. The fullscale velocity measurements, carried out on a tower by Thuillier and Lappe [42], indicated the logarithmic law can be assumed to be valid for the ABL as well. In the ABL, the inertial sublayer (and hence the logarithmic law) extends to about 100 m height, Garratt [43], Holmes [44].…”

Section: Mean Velocity Profilesmentioning

confidence: 99%

Physical modeling of complex airflows developing above rural terrains

Kozmar

2011

Environ Fluid Mech

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The rural atmospheric boundary layer (ABL) flow was reproduced in a wind tunnel at three different simulation length scales to investigate possible effects of the simulation length scale on flow characteristics. Performance of truncated vortex generators developed for part-depth ABL wind-tunnel simulations was tested in rural terrain exposure against the full-size Counihan vortex generators. A procedure to design the ABL developing above rural type terrain has been described. The 1:395 and 1:236 simulations were created as full-depth simulations, i.e., wind characteristics throughout an entire ABL were reproduced in the wind tunnel. The 1:208 simulation was a part-depth simulation, i.e., only a lower 70% of the ABL was experimentally modelled. The projected scaled-up ABL thicknesses are 395, 354, and 416 m full-scale in the 1:395, 1:236, and 1:208 simulations, respectively. Experimental results show similar trends in all three configurations not depending on the simulation length scale factor. This clearly indicates a possibility to physically, in the wind tunnel, reproduce the same rural atmospheric airflows at different simulation length scales.

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“…Due to turbulence, this effect is directly visible only in the very few millimeters above the boundary. Under certain conditions which guarantee well mixing of the ABL, the velocity depends logarithmically on the height above ground [1,2]. Since real surfaces possess a lot of structure, local wind speeds and in particular their direction can differ strongly from this ideal scenario.…”

Section: Atmospheric Boundary Layer and Wind Speed Datamentioning

confidence: 99%

Statistical analysis and stochastic modelling of boundary layer wind speed

Laubrich

2009

Eur. Phys. J. Spec. Top.

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Abstract. We study the statistics of the horizontal component of atmospheric boundary layer wind speed and introduce a stochastic process which has similar properties. Motivated by the non-stationarity of wind velocity data, we describe statistical methods to verify the picture of natural atmospheric boundary layer turbulence to be composed of successively occurring close to ideal turbulence phases with different parameters. We focus on the fluctuation of wind speed around its mean behaviour and show that there is linear relationship between the standard deviation of the fluctuation and the current mean wind speed. Additionally, we analyse the increment statistics and investigate the time dependence of the parameters describing the increment distribution. Noting that the first order geometric auto regressive process has similar statistical properties, we investigate this similarity and analyse the extent to which this stochastic process is a suitable model for wind speed simulation.

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Wind and Temperature Profile Characteristics from Observations on a 1400 ft Tower

Cited by 54 publications

References 0 publications

Small Wind-Shear Layer Observed at Kyoto University Reactor Site

Small Wind-Shear Layer Observed at Kyoto University Reactor Site

Physical modeling of complex airflows developing above rural terrains

Statistical analysis and stochastic modelling of boundary layer wind speed

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