Spatiotemporal Dynamics of the Wind Velocity from Minisodar Measurement Data


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The spatiotemporal dynamics of the three wind velocity components in the atmospheric boundary layer is analyzed on the basis of Doppler minisodar measurements. The data were processed and analyzed with the help of robust nonparametric methods based on the weighted maximum likelihood method and classical methods. Distribution laws were obtained for each wind velocity component. There are outliers in the distribution functions; both right and left asymmetry of the distributions are observed. For the x- and ycomponents, the width of the distribution increases as the observation altitude is increased, but the maximum of the distribution function decreases, which is in agreement with the data available in the literature. For the zcomponents the width of the distribution remains practically constant, but the value of the maximum also decreases with altitude. Analysis of the hourly semidiurnal dynamics showed that all three components have maxima in the morning and evening hours. For the y- and z-components the maxima in the evening hours are more strongly expressed than in the morning hours. For the x- and y-components the horizontal wind shear is closely tracked in the evening hours. It is shown that adaptive estimates on the efficiency significantly exceed the classical parametric estimates and allow one to analyze the spatiotemporal dynamics of the wind velocity, and reveal jets and detect wind shears.

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V. Simakhin

Kurgan State University

编辑信件的主要联系方式.
Email: sva_full@mail.ru
俄罗斯联邦, Kurgan

O. Cherepanov

Kurgan State University

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Email: ocherepanov@inbox.ru
俄罗斯联邦, Kurgan

L. Shamanaeva

V. E. Zuev Institute of Atmospheric Optics of the Siberian Branch of the Russian Academy of Sciences; National Research Tomsk State University

编辑信件的主要联系方式.
Email: sima@iao.ru
俄罗斯联邦, Tomsk; Tomsk

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