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The article presents a study which uses spectral analysis to analyze geomagnetic field time-series. It mentions the proposed algorithm used in the detection of the geomagnetic jerks in time-series that occur mainly in the Eastern part of the geomagnetic field. It states that the method resulted to understanding of spatial evolution of changes in the geomagnetic field.

The article presents a study that uses two spectral techniques in terms of Fourier and wavelet analysis to detect geometric jerks time series. It suggests that the analysis allows researchers to depict the most important space-time features of the geomagnetic jerks on global scale. It reveals that the spherical harmonic analysis of the secular acceleration power spectrum brings new insights in understanding the rapid changes of the geomagnetic field and their origin.