Automatic method for estimation of the Earth's magnetic field state

Abstract

This paper describes a method developed by the authors for estimating the state of the Earth's magnetic field. The method is based on the combination of wavelet transform with radial basis neural networks. The method includes decomposing of recorded geomagnetic field variations on different scale components, estimating their disturbance degree and forming conclusion about the state of the field. For approbation of the method, we used geomagnetic data from the Paratunka station (Paratunka, Kamchatka region, data registration is carried out by IKIR FEB RAS). The analysis of the spectral-temporal characteristics of geomagnetic field variations during periods of moderate and strong magnetic storms was performed. Weak perturbations were detected in the geomagnetic field before the storms. Obtained results confirmed the effectiveness of the proposed method.