Adaptive robust nonparametric estimations of the first four moments of wind velocity components from minisodar measurements

被引:0
|
作者
Simakhin, V. A. [1 ]
Shamanaeva, L. G. [2 ,3 ]
Vasil'ev, N. V. [1 ]
机构
[1] Kurgan State Univ, Kurgan, Russia
[2] RAS, VE Zuev Inst Atmospher Opt, SB, Tomsk, Russia
[3] Natl Res Tomsk State Univ, Tomsk, Russia
关键词
acoustic sounding; nonparametric robust estimations; statistical characteristics of wind velocity components;
D O I
10.1117/12.2504324
中图分类号
P7 [海洋学];
学科分类号
0707 ;
摘要
Since the late 70s, Doppler sodars have been widely used to study the statistical characteristics of wind velocity field in the atmospheric boundary layer and to analyze their dynamics. However, the distribution functions of the wind velocity components are asymmetric with the presence of outliers, which significantly reduces the efficiency of application of the classical parametric methods of statistics. In the report, an algorithm is suggested for nonparametric robust estimations of the first four moments of wind velocity components and their confidence intervals from minisodar measurements in the atmospheric boundary layer.
引用
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页数:6
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