Abstract
Variations in geomagnetic field data at different spectral frequencies and with different periods are observed during increased geomagnetic activity. The formed local structures depend on the field disturbance and contain information on the magnetic storm intensity and character of development. Numerical solutions and algorithms based on wavelet transforms, which make it possible to “automatically” detect periods of increased geomagnetic activity and identify and analyze the structures forming this process, have been proposed in order to study the time characteristics of geomagnetic field variations, using the H component as an example. The separated components, characterizing disturbances, make it possible to estimate variations in the field energy characteristics. An analysis of the constructed wavelet images makes it possible to trace the dynamics of variations in the H component the day before and during a magnetic storm.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Bartels, J., Potsdamer Erdmagnetische Kennziffern. 1. Mittelung, Zeitschr. Geophys., 1938, vol. 14:68, no. 78, pp. 699–718
Bud’ko, N.I., Zaitsev, A.N., Karpachev, A.T., Kozlov, A.N., and Filippov, B.P., Kosmicheskaya sreda vokrug nas (Space Environment) Troitsk: TROVANT, 2006.
Chui, C.K., An Introduction to Wavelets, Moscow: Mir, 2001.
Daubechies, I., Ten Lectures on Wavelets, Izhevsk: NITs Regulyarn. Khaot. Dinamika, 2001.
Kozlov, V.I. and Markov, V.V., Wavelet Image of the Fine Structure of the 11-Year Cycle Based on Studying Cosmic Ray Fluctuations during Cycles 20–23, Geomagn. Aeron., 2007, vol. 47, no. 1, pp. 56–65 [Geomagn. Aeron. (Engl. transl.), 2007, vol. 47, pp. 52–61].
Mallat, S., A Wavelet Tour of Signal Processing, Moscow: Mir, 2005.
Mandrikova, O.V., Modelirovanie geokhimicheskikh signalov na osnove veivlet-preobrazovaniya (Modeling Geochemical Signals Based on the Wavelet Transform), Vladivostok: Dal’nauka, 2007.
Mandrikova, O.V. and Goreva, T.S., Method for Identifying the Structural Components of a Complex Natural Signal Based on Wavelet Packets, Tsifr. Obrab. Signalov, 2010, no. 1, pp. 45–50.
Mandrikova, O.V. and Solov’ev, I.S., Wavelet Technology Used to Process and Analyze Geomagnetic Field Variations, Inform. Tekhnol., 2011, no. 1, pp. 34–38.
Mandrikova, O.V., Smirnov, S.E., and Solov’ev, I.S., Method for Determining the Geomagnetic Activity Index Based on Wavelet Packets, Geomagn. Aeron., 2011, vol. 51, no. 6, pp. 1–10.
Menvielle, M., Papitashvili, N., Hakkinen, L., and Sucksdorff, C., Computer Production of K Indices: Review and Comparison of Methods, Geophys. J. Int., 1995, vol. 123, pp. 866–886.
Rotanova, N.M., Bondar’, T.N., and Ivanov, V.V., Wavelet Analysis of Secular Geomagnetic Variations, Geomagn. Aeron., 2004, vol. 44, no. 2, pp. 276–282 [Geomagn. Aeron. (Engl. transl.), 2004, vol. 44, pp. 252–258].
Author information
Authors and Affiliations
Corresponding author
Additional information
Original Russian Text © O.V. Mandrikova, V.V. Bogdanov, I.S. Solov’ev, 2013, published in Geomagnetizm i Aeronomiya, 2013, Vol. 53, No. 2, pp. 282–288.
Rights and permissions
About this article
Cite this article
Mandrikova, O.V., Bogdanov, V.V. & Solov’ev, I.S. Wavelet analysis of geomagnetic field data. Geomagn. Aeron. 53, 268–273 (2013). https://doi.org/10.1134/S0016793213020102
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1134/S0016793213020102