Estimation of the parameters of the power model of the turbulence spectrum from the data of the sonic weather station

Dmitrii A. Marakasov; Alexey L. Afanasiev

doi:10.1117/12.2689346

17 October 2023 Estimation of the parameters of the power model of the turbulence spectrum from the data of the sonic weather station

Dmitrii A. Marakasov, Alexey L. Afanasiev

Author Affiliations +

Proceedings Volume 12780, 29th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 1278028 (2023) https://doi.org/10.1117/12.2689346
Event: XXIX International Symposium "Atmospheric and Ocean Optics, Atmospheric Physics", 2023, Moscow, Russian Federation

Abstract

An algorithm for processing time series of meteorological parameters is proposed, which makes it possible to establish the limits of applicability of the power-law model for the spectra and structure functions of turbulent fluctuations and to determine the values of its parameters - the exponent, the structural characteristic, and the inverse outer scale. The results of experimental data processing, demonstrating a good agreement between the power-law model and the measurement results over most of the observation interval. At the same time, significant deviations of the exponent of power dependence from Kolmogorov one were found, are presented. The measurements also contain intervals lasting several hours with an estimate of the spectrum index close to and less than 1, when the model does not work and its modification is necessary to ensure the suppression of the high-frequency region of the spectrum.

Citation Download Citation

Dmitrii A. Marakasov and Alexey L. Afanasiev "Estimation of the parameters of the power model of the turbulence spectrum from the data of the sonic weather station", Proc. SPIE 12780, 29th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 1278028 (17 October 2023); https://doi.org/10.1117/12.2689346

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