Using spectral analysis to detect singular events such as jerks in the geomagnetic field time series
B. Duka1, A. De Santis2,3, M. Mandea4,5, A. Isac6, and E. Qamili21Faculty of Natural Sciences, University of Tirana, Tirana, Albania 2Istituto Nazionale di Geofisica e Vulcanologia, Roma, Italy 3Universita' G. D'Annunzio, Chieti, Italy 4Institut de Physique du Globe de Paris, Université Paris Diderot, Paris, France 5European Center for the Arctic, Université de Versailles, Guyancourt, France 6Geological Institute of Romania, Bucharest, Romania
Received: 23 Jun 2011 – Accepted for review: 02 Jul 2011 – Discussion started: 12 Jul 2011
Abstract. In this study we have applied two spectral techniques in terms of Fourier and wavelet analysis to geomagnetic field time series and compared the results with those obtained from analogous analyses to synthetic data. Then, an algorithm has been proposed to detect the geomagnetic jerks in time series, mainly being considered by the Eastern component secular variation. Applying such analysis to time series generated from global models has allowed us to depict the most important space-time features of the geomagnetic jerks on global scale, since the beginning of XXth century. Finally, a spherical harmonic analysis of the secular acceleration power spectrum has been computed since 1960 to 2000, bringing new insights in understanding these rapid changes of the geomagnetic field and their origin.
Duka, B., De Santis, A., Mandea, M., Isac, A., and Qamili, E.: Using spectral analysis to detect singular events such as jerks in the geomagnetic field time series, Solid Earth Discuss., 3, 615-654, doi:10.5194/sed-3-615-2011, 2011.