Method of analysis of geomagnetic data based on wavelet transform and threshold functions

Abstract

The suggested method is aimed at studying the dynamics of the magnetospheric current systems during magnetic storms. The method is based on algorithmic solutions for processing of geomagnetic field variations, detection of local increases in geomagnetic disturbance intensity and estimation of their dynamic characteristics. Parameters of the algorithms allow us to evaluate the characteristics of small-scale local features emerging during geomagnetic activity slight increases and large-scale variations observed during magnetic storms. To evaluate the method, geomagnetic data from the stations located in the north-east of Russia and equatorial India were used. The method testing showed the possibility to apply it for the detection of pre-storm anomalous effects in geomagnetic data.

Analysis of geomagnetic disturbances dynamics during increased solar activity and magnetic storms (according to the measurements of INTERMAGNET station network)

“…Traditional methods of data analysis based on smoothing procedures and spectral analysis methods cannot investigate in detail the fast-changing structure of geomagnetic field variations and lead to the loss of significant information. The wavelet transform allows us to study shortperiod oscillations of the geomagnetic field and to evaluate their parameters [8][9][10]. In this paper, we used algorithms developed on the basis of wavelet transform for analysis of geomagnetic data and extracted different-scale perturbations of the geomagnetic field [11].…”