Parametric, Semiparametric, and Semi-Nonparametric Estimates of the Kinetic Energy of Ordered Air Motion and Wind Outliers in the Atmospheric Boundary Layer from Minisodar Measurements

Author:

Simakhin Valerii Anan’evich1,Potekaev Alexander Ivanovich23,Cherepanov Oleg Sergeevich1,Shamanaeva Liudmila Grigor’evna24ORCID

Affiliation:

1. Department of Automated Systems Software, Kurgan State University, Kurgan 640000, Russia

2. Faculty of Physics, Tomsk State University, Tomsk 634050, Russia

3. Tomsk Scientific Center of the Siberian Branch of the Russian Academy of Sciences, Tomsk 634055, Russia

4. V.E. Zuev Institute of Atmospheric Optics of the Siberian Branch of the Russian Academy of Sciences, Tomsk 634055, Russia

Abstract

In the present work, we analyze the spatiotemporal dynamics of the kinetic wind energy with and without allowance for the kinetic energy of outliers. We first separated the contributions of the mean kinetic energy and the kinetic energy of the outliers and estimated the latter using robust parametric, semiparametric, and semi-nonparametric algorithms developed by the authors. The kinetic wind energy was estimated by the postprocessing of minisodar measurements of three wind velocity components and their variances in the lower 200 m layer of the atmosphere. By the outliers, we mean wind velocities, including wind gusts, the distribution of which deviates from the prior distribution of the majority of observations. A nonmonotonic increase in the kinetic energy of the outliers with sounding altitude was established. Physically, this can be explained by a nonmonotonic increase in the turbulent kinetic energy of local air vortices in the atmospheric boundary layer (ABL). The vertical extension of the outlier layers was of the order of 10–20 m.

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference27 articles.

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4. (2020, December 30). Doppler MiniSoDAR System: Operation and Maintenance Manual. Available online: https://home.chpc.utah.edu/~{}\{\}u0035056/5910_2010/Minisodarmanual.pdf.

5. Bradley, S. (2007). Atmospheric Acoustic Remote Sensing: Principles and Applications, CRC Press Taylor & Francis Group.

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