Evaluation of a Procedure to Correct Spatial Averaging in Turbulence Statistics from a Doppler Lidar by Comparing Time Series with an Ultrasonic Anemometer
Evaluation of a Procedure to Correct Spatial Averaging in Turbulence Statistics from a Doppler Lidar by Comparing Time Series with an Ultrasonic Anemometer
复制标题
通过将时间序列与超声波风速计进行比较来评估多普勒激光雷达湍流统计中的空间平均校正程序
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
C. Jung
中科院分区：
文献类型：
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作者：
P. Brugger;K. Träumner;C. Jung
摘要：多普勒激光雷达经常用于大气边界层的风测量，但由于激光脉冲长度和返回信号的采样频率，其数据会受到空间平均的影响。这种空间平均还会影响对湍流统计数据的估计，例如来自多普勒激光雷达数据的湍流的速度方差和外部尺度。在这项研究中，系统地应用了 Frehlich 和 Cornman 基于冯卡门湍流模型的程序来纠正空间平均对湍流统计的影响。在比较多普勒激光雷达和超声波风速计的时间序列时，该模型能够减少速度方差和湍流外部规模的偏差。测量结果表明，速度方差的偏差减少了 29%，湍流外部尺度的偏差减少了 43%。但这两个湍流参数都存在剩余的系统误差，无法用结构的冯卡门模型来解释......
AbstractDoppler lidars are frequently used for wind measurements in the atmospheric boundary layer, but their data are subject to spatial averaging due to the pulse length of the laser and sampling frequency of the return signal. This spatial averaging also affects estimates of turbulence statistics like the velocity variance and outer scale of turbulence from Doppler lidar data. In this study a procedure from Frehlich and Cornman based on a von Karman turbulence model was systematically applied to correct these effects of spatial averaging on turbulence statistics. The model was able to reduce the occurring bias of the velocity variance and outer scale of turbulence in a comparison of time series from a Doppler lidar and an ultrasonic anemometer. The measurements show that the bias of the velocity variance was reduced by 29% and that of the outer scale of turbulence by 43%. But both turbulence parameters had a remaining systematic error that could not be explained by the von Karman model of the structure...
影响因子：
2.2
作者：
O'Connor, Ewan J.;Illingworth, Anthony J.;Brooks, Barbara J.
通讯作者：
Brooks, Barbara J.