Analysis of ionospheric parameters during Solar events and geomagnetic storms

Abstract

Abstract. The paper shows new methods of analysis of ionospheric and magnetic data applying the models of multicomponent constructions (MCM models) developed by the authors. Based on ground station data, the analysis of ionospheric and magnetic data during increased solar activity was carried out.

Joint analysis of the ionospheric parameters and cosmic ray data during periods of magnetic storms 2015

“…The analysis of GCR in the work is based on the joint application of wavelet transform and neural network methods, which are currently gaining intensive development in this field [1,[6][7][8][9][10][11][12]. The method of joint application of mathematical devices for studying complex time series was first proposed by the authors in works [7,10,[12][13][14] The method allows to study in detail the data structure, to determine typical variations and to allocate anomalies. Its application allowed us to isolate the anomalous effects in the dynamics of GCR (increases that occur 8-20 hours before the onset of magnetic storms) [7,10,11] arising on the eve of geomagnetic storms.…”

“…A similar approach based on the combination of wavelet transform and neural networks was developed by the authors to study the dynamics of ionospheric parameters [13,14,16] (the data of the critical frequency of the F2 layer of the ionosphere (foF2) and PES data were analyzed). During the periods of disturbances, anomalous changes are observed in the recorded ionospheric parameters, which indicate the occurrence of anomalous processes in the ionosphere.…”

Analysis of ionospheric parameters by the software system “Aurora”

“…The most strong and complex ionospheric disturbances (irregularities) are formed during solar flares and geomagnetic storms. They manifest themselves as significant changes of electron concentration in comparison to some characteristic (calm) level and reflect in the ionospheric parameters [1,2,[7][8][9]. Methods and computational algorithms developed by the authors for processing of the ionospheric data and the detection of ionospheric irregularities are described in the present paper.…”

“…suppressed on the basis of ionospheric data preprocessing by wavelets. This operation allows improving the efficiency of neural networks for the ionospheric irregularities detection [7]. To more detailed study of the ionospheric parameter dynamics in "Aurora" system, the computational solutions based on the continuous wavelet transform (CWT) are used [17].…”