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Progress in Industrial Mathematics at ECMI 2008 pp 305–310Cite as

The Application of Wavelet Analysis for the Detection of Planetary Wave Type Oscillations in the Ionospheric Total Electron Content

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Part of the book series: Mathematics in Industry ((TECMI,volume 15))

Summary

Ionospheric Total Electron Content (TEC) maps are analysed for detecting oscillations with typical periods of planetary waves (PW). The Fourier transform and the continuous wavelet transform are combined for the spectral analyses of the data set. A few ionospheric oscillations found in TEC have typical properties of PW. However, most of the zonal mean TEC variations, which dominate the ionospheric variability, are allocated to the variability of the solar influence. Propagating and standing waves are supposed to occur due to PW.

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Author information

Authors and Affiliations

  1. University of Applied Sciences Neubrandenburg, Brodaer Str. 2, Neubrandenburg, Germany

    C. Borries

  2. DLR, Institute of Communications and Navigation, Kalkhorstweg 53, Neustrelitz, Germany

    C. Borries

Authors
  1. C. Borries
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Corresponding author

Correspondence to C. Borries .

Editor information

Editors and Affiliations

  1. School of Mathematics, University of Southampton, Southampton, SO17 1BJ, United Kingdom

    Alistair D. Fitt

  2. Mathematical Institute, University of Oxford, St. Giles 24-29, Oxford, OX1 3LB, United Kingdom

    John Norbury

  3. Mathematical Institute, Ctr for Industrial & Applied Mathematics, University of Oxford, St. Giles 24-29, Oxford, OX1 3LB, United Kingdom

    Hilary Ockendon

  4. Dept. Engineering Mathematics, University of Bristol, University Walk, Bristol, BS8 1TR, United Kingdom

    Eddie Wilson

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Borries, C. (2010). The Application of Wavelet Analysis for the Detection of Planetary Wave Type Oscillations in the Ionospheric Total Electron Content. In: Fitt, A., Norbury, J., Ockendon, H., Wilson, E. (eds) Progress in Industrial Mathematics at ECMI 2008. Mathematics in Industry(), vol 15. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12110-4_46

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