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Adaptive robust nonparametric estimations of the first four moments of wind velocity components from minisodar measurements
Author(s): V. A. Simakhin; L. G. Shamanaeva; N. V. Vasil’ev
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Paper Abstract

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.

Paper Details

Date Published: 13 December 2018
PDF: 6 pages
Proc. SPIE 10833, 24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 108334L (13 December 2018); doi: 10.1117/12.2504324
Show Author Affiliations
V. A. Simakhin, Kurgan State Univ. (Russian Federation)
L. G. Shamanaeva, V.E. Zuev Institute of Atmospheric Optics (Russian Federation)
National Research Tomsk State Univ. (Russian Federation)
N. V. Vasil’ev, Kurgan State Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 10833:
24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
Gennadii G. Matvienko; Oleg A. Romanovskii, Editor(s)

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