Spectral and Statistical Properties of the Doppler Frequency Shift during Substorms in the F2 Layer.
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| Title: | Spectral and Statistical Properties of the Doppler Frequency Shift during Substorms in the F2 Layer. |
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| Authors: | Sergeenko, N. P.1 (AUTHOR) serg@izmiran.ru |
| Source: | Geomagnetism & Aeronomy. Dec2021 Supplement, Vol. 61 Issue 1, pS116-S126. 11p. |
| Subject Terms: | *Doppler effect, *Magnetic storms, *Probability density function, *Stochastic processes, *Kurtosis, *Spectral energy distribution |
| Abstract: | The observational results of the spectral density of the Doppler frequency shift Δfd during intervals of bay-like perturbations in the ionospheric F2 layer are presented. We showed that wave perturbations with periods of 1–2 h are observed during substorm intervals, and their intensity reaches a maximum 1–2 h after the substorm onset, after which it decreases. The statistical properties of the Doppler frequency shift variations are analyzed. We showed that the normal law can be used as a probabilistic model of the time series Δfd(t) as a random process in quiet intervals, and the normal law with a refined asymmetry and kurtosis of the probability density function can be used during substorms (Edgeworth series). [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| Abstract: | The observational results of the spectral density of the Doppler frequency shift Δfd during intervals of bay-like perturbations in the ionospheric F2 layer are presented. We showed that wave perturbations with periods of 1–2 h are observed during substorm intervals, and their intensity reaches a maximum 1–2 h after the substorm onset, after which it decreases. The statistical properties of the Doppler frequency shift variations are analyzed. We showed that the normal law can be used as a probabilistic model of the time series Δfd(t) as a random process in quiet intervals, and the normal law with a refined asymmetry and kurtosis of the probability density function can be used during substorms (Edgeworth series). [ABSTRACT FROM AUTHOR] |
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| ISSN: | 00167932 |
| DOI: | 10.1134/S0016793222010170 |
