2014
DOI: 10.1002/2013rs005336
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Polarization of ELF waves generated during “beat-wave” heating experiment near cutoff frequency of the Earth-ionosphere waveguide

Abstract: High‐frequency heating of the ionosphere is effective for generating extremely low frequencies (ELF, 3–3000 Hz) through modulation of the auroral electrojet current. While the amplitudes of the resulting ELF waves depend on the auroral electrojet current strength, the polarization of their horizontal magnetic field remains relatively stable. In this work, we determined that at the distance of several wavelengths from an ionospheric ELF source created by two HF heating waves separated by an ELF frequency, polar… Show more

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Cited by 34 publications
(24 citation statements)
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“…The noise level of the receiver is about of 10 −14 nT 2 Hz −1 . The method for receiver calibration is described in Fedorenko et al (2014). Fast Fourier transform was carried out to calculate the power spectral densities of the magnetic field of VLF emissions (frequency-time dynamic spectra, or so-called spectrograms).…”
Section: Observations and Discussionmentioning
confidence: 99%
“…The noise level of the receiver is about of 10 −14 nT 2 Hz −1 . The method for receiver calibration is described in Fedorenko et al (2014). Fast Fourier transform was carried out to calculate the power spectral densities of the magnetic field of VLF emissions (frequency-time dynamic spectra, or so-called spectrograms).…”
Section: Observations and Discussionmentioning
confidence: 99%
“…In addition, there is a vertical electric field sensor that can be used to remove the 180° ambiguity of propagation direction. Details of the LOZ hardware can be found in Fedorenko et al ().…”
Section: Datamentioning
confidence: 99%
“…A more detailed description of the instrument was given by Manninen []. The magnetic field intensities are calibrated using the method described by Fedorenko et al []. Fast Fourier transform (FFT) is performed to obtain power spectral densities of magnetic field fluctuations.…”
Section: Data Setmentioning
confidence: 99%