Detection and selection of anomalous observations in acoustic sounding of wind velocity

V. A. Simakhin; O. S. Cherepanov; L. G. Shamanaeva

doi:10.1117/12.2539938

18 December 2019 Detection and selection of anomalous observations in acoustic sounding of wind velocity

V. A. Simakhin, O. S. Cherepanov, L. G. Shamanaeva

Proceedings Volume 11208, 25th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 112086X (2019) https://doi.org/10.1117/12.2539938
Event: XXV International Symposium, Atmospheric and Ocean Optics, Atmospheric Physics, 2019, Novosibirsk, Russian Federation

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.

Citation Download Citation

V. A. Simakhin, O. S. Cherepanov, and L. G. Shamanaeva "Detection and selection of anomalous observations in acoustic sounding of wind velocity", Proc. SPIE 11208, 25th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 112086X (18 December 2019); https://doi.org/10.1117/12.2539938

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