Robust Nonparametric Methods of Statistical Analysis of Wind Velocity Components in Acoustic Sounding of the Lower Layer of the Atmosphere
Statistical analysis of the results of minisodar measurements of vertical profiles of wind velocity components in a 5−200 m layer of the atmosphere shows that this problem belongs to the class of robust nonparametric problems of mathematical statistics. In this work, a new consecutive nonp...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-07-01
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| Series: | Symmetry |
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| Online Access: | https://www.mdpi.com/2073-8994/11/8/961 |
| _version_ | 1798002864999628800 |
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| author | Nikolay Krasnenko Valerii Simakhin Liudmila Shamanaeva Oleg Cherepanov |
| author_facet | Nikolay Krasnenko Valerii Simakhin Liudmila Shamanaeva Oleg Cherepanov |
| author_sort | Nikolay Krasnenko |
| collection | DOAJ |
| description | Statistical analysis of the results of minisodar measurements of vertical profiles of wind velocity components in a 5−200 m layer of the atmosphere shows that this problem belongs to the class of robust nonparametric problems of mathematical statistics. In this work, a new consecutive nonparametric method of adaptive pendular truncation is suggested for outlier detection and selection in sodar data. The method is implemented in a censoring algorithm. The efficiency of the suggested algorithm is tested in numerical experiments. The algorithm has been used to calculate statistical characteristics of wind velocity components, including vertical profiles of the first four moments, the correlation coefficient, and the autocorrelation and structure functions of wind velocity components. The results obtained are compared with classical sample estimates. |
| first_indexed | 2024-04-11T11:58:59Z |
| format | Article |
| id | doaj.art-d220f5eed4bd48018927714cc9bcbf23 |
| institution | Directory Open Access Journal |
| issn | 2073-8994 |
| language | English |
| last_indexed | 2024-04-11T11:58:59Z |
| publishDate | 2019-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Symmetry |
| spelling | doaj.art-d220f5eed4bd48018927714cc9bcbf232022-12-22T04:24:57ZengMDPI AGSymmetry2073-89942019-07-0111896110.3390/sym11080961sym11080961Robust Nonparametric Methods of Statistical Analysis of Wind Velocity Components in Acoustic Sounding of the Lower Layer of the AtmosphereNikolay Krasnenko0Valerii Simakhin1Liudmila Shamanaeva2Oleg Cherepanov3Tomsk State University of Control Systems and Radioelectronics, 634050 Tomsk, RussiaKurgan State University, 640000 Kurgan, RussiaV.E. Zuev Institute of Atmospheric Optics SB RAS, 634021 Tomsk, RussiaKurgan State University, 640000 Kurgan, RussiaStatistical analysis of the results of minisodar measurements of vertical profiles of wind velocity components in a 5−200 m layer of the atmosphere shows that this problem belongs to the class of robust nonparametric problems of mathematical statistics. In this work, a new consecutive nonparametric method of adaptive pendular truncation is suggested for outlier detection and selection in sodar data. The method is implemented in a censoring algorithm. The efficiency of the suggested algorithm is tested in numerical experiments. The algorithm has been used to calculate statistical characteristics of wind velocity components, including vertical profiles of the first four moments, the correlation coefficient, and the autocorrelation and structure functions of wind velocity components. The results obtained are compared with classical sample estimates.https://www.mdpi.com/2073-8994/11/8/961robust nonparametric pendular truncation methodoutlier detection and selectionacoustic soundingstatistical characteristics of vertical profiles of wind velocity components |
| spellingShingle | Nikolay Krasnenko Valerii Simakhin Liudmila Shamanaeva Oleg Cherepanov Robust Nonparametric Methods of Statistical Analysis of Wind Velocity Components in Acoustic Sounding of the Lower Layer of the Atmosphere Symmetry robust nonparametric pendular truncation method outlier detection and selection acoustic sounding statistical characteristics of vertical profiles of wind velocity components |
| title | Robust Nonparametric Methods of Statistical Analysis of Wind Velocity Components in Acoustic Sounding of the Lower Layer of the Atmosphere |
| title_full | Robust Nonparametric Methods of Statistical Analysis of Wind Velocity Components in Acoustic Sounding of the Lower Layer of the Atmosphere |
| title_fullStr | Robust Nonparametric Methods of Statistical Analysis of Wind Velocity Components in Acoustic Sounding of the Lower Layer of the Atmosphere |
| title_full_unstemmed | Robust Nonparametric Methods of Statistical Analysis of Wind Velocity Components in Acoustic Sounding of the Lower Layer of the Atmosphere |
| title_short | Robust Nonparametric Methods of Statistical Analysis of Wind Velocity Components in Acoustic Sounding of the Lower Layer of the Atmosphere |
| title_sort | robust nonparametric methods of statistical analysis of wind velocity components in acoustic sounding of the lower layer of the atmosphere |
| topic | robust nonparametric pendular truncation method outlier detection and selection acoustic sounding statistical characteristics of vertical profiles of wind velocity components |
| url | https://www.mdpi.com/2073-8994/11/8/961 |
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