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Measurements of temperature and velocity structure parameters from sonic anemometers

机译:通过声速风速计测量温度和速度结构参数

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Abstract: A study of two methods for computing temperature and velocity structure parameters C$-T$/$+2$/ and C$-v$/$+2$/ is presented. Fluctuating temperature and wind data obtained from sonic anemometers were processed utilizing time and frequency analyses to derive C$-T$/$+2$/ and C$-v$/$+2$/. The time-domain method is less rigorous and simplifies processing of the sonic anemometer data for deriving the turbulence parameters. The frequency-domain method has the advantage of providing the spectral characteristics of turbulence. This feature greatly facilitates in identifying data that contain spike noise. Thus, corrections may be made to adjust the derived values accordingly. The comparison shows a very good correlation between the two methods. However, the frequency-domain method yield results that are 2 2/3 times greater than the corresponding values from the time-domain method. The difference was determined to be a bias in the frequency-domain method, resulting from the coefficient used in the inertial subrange form of the one-dimensional spectrum, $Phi$-theta$/($kappa@) $EQ $alpha@C$- theta$/$+2$/$kappa$+$MIN@5/3$/. In order to remove the bias, the coefficient $alpha must be changed from the original value of 0.25 to 0.50. !7
机译:摘要:提出了两种计算温度和速度结构参数C $ -T $ / $ + 2 $ /和C $ -v $ / $ + 2 $ /的方法的研究。从声波风速计获得的温度和风的波动数据经过时间和频率分析,得到C $ -T $ / $ + 2 $ /和C $ -v $ / $ + 2 $ /。时域方法不那么严格,并且简化了用于导出湍流参数的声速计数据的处理。频域方法的优点是提供了湍流的频谱特性。此功能极大地有助于识别包含尖峰噪声的数据。因此,可以进行校正以相应地调整导出的值。比较显示两种方法之间的相关性非常好。但是,频域方法的结果比时域方法的相应值大2 2/3倍。确定该差异是频域方法中的偏差,这是由一维频谱的惯性子范围形式中使用的系数$ Phi $ -theta $ /($ kappa @)$ EQ $ alpha @ C引起的$-theta $ / $ + 2 $ / $ kappa $ + $ MIN @ 5/3 $ /。为了消除偏差,必须将系数$ alpha从原始值0.25更改为0.50。 !7

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