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

V. A. Simakhin; L. G. Shamanaeva; N. V. Vasil’ev

doi:10.1117/12.2504324

13 December 2018 Adaptive robust nonparametric estimations of the first four moments of wind velocity components from minisodar measurements

V. A. Simakhin, L. G. Shamanaeva, N. V. Vasil’ev

Author Affiliations +

Proceedings Volume 10833, 24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 108334L (2018) https://doi.org/10.1117/12.2504324
Event: XXIV International Symposium, Atmospheric and Ocean Optics, Atmospheric Physics, 2018, Tomsk, Russian Federation

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.

Citation Download Citation

V. A. Simakhin, L. G. Shamanaeva, and N. V. Vasil’ev "Adaptive robust nonparametric estimations of the first four moments of wind velocity components from minisodar measurements", Proc. SPIE 10833, 24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 108334L (13 December 2018); https://doi.org/10.1117/12.2504324

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