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Proceedings Paper

Detection and selection of anomalous observations in acoustic sounding of wind velocity
Author(s): V. A. Simakhin; O. S. Cherepanov; L. G. Shamanaeva
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Paper Abstract

Statistical analysis of minisodar measurements of vertical profiles of the first four moments of wind velocity components in the 5–200 meter atmospheric layer shows that this problem belongs to a class of robust nonparametric problems of mathematical statistics. In the report, a new consecutive nonparametric pendular truncation algorithm is suggested for processing of minisodar measurements of wind velocity components to detect and to select anomalous observations in a data sample. The first four moments of wind velocity components are given, and their comparison with the moments obtained using standard methods of minisodar data processing is performed.

Paper Details

Date Published: 18 December 2019
PDF: 5 pages
Proc. SPIE 11208, 25th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 112086X (18 December 2019); doi: 10.1117/12.2539938
Show Author Affiliations
V. A. Simakhin, Kurgan State Univ. (Russian Federation)
O. S. Cherepanov, Kurgan State Univ. (Russian Federation)
L. G. Shamanaeva, V. E. Zuev Institute of Atmospheric Optics (Russian Federation)
National Research Tomsk State Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 11208:
25th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
Oleg A. Romanovskii; Gennadii G. Matvienko, Editor(s)

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