Abstract

Based on the ground station data, the paper investigates the dynamics of space rays and ionospheric parameters during strong and moderate magnetic storms 2018. The research was carried out applying new methods for modeling and data analysis suggested by the authors. In the course of investigation, anomalous changes in ionospheric parameters preceding and accompanying magnetic storms were detected. When they were compared with the data of cosmic rays and interplanetary magnetic field, correlation was observed. It confirms the solar nature of the detected ionospheric effects. Application of regression methods confirmed the assumption on statistically significant effect of interplanetary magnetic field parameters on ionospheric parameter dynamics during increased solar activity. The results are of interest in the tasks of space weather forecast.

Highlights

  • Investigation of ionospheric parameters and space weather data is of interest in the tasks of solar-terrestrial physics and applied studies associated with space weather

  • The results confirmed the possibility of application of the developed approach in the problems of detection of anomalous changes in cosmic ray dynamics including those of low amplitude

  • Application of regression methods confirmed the suggestion on statistically significant effect of interplanetary magnetic field parameters on ionosphere dynamics during increased solar activity

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Summary

Introduction

Investigation of ionospheric parameters and space weather data is of interest in the tasks of solar-terrestrial physics and applied studies associated with space weather. The results confirmed the possibility of application of the developed approach in the problems of detection of anomalous changes in cosmic ray dynamics including those of low amplitude. The efficiency of modern methods (empirical, physical and neural network ones) is determined by the presence of qualitative real-time data of geophysical monitoring and decreases significantly during disturbed periods. The results of the work showed high sensitivity of the developed method and the possibility to apply it in the problems of geophysical data complex analysis and detection of space weather effects. When compared with cosmic ray data and interplanetary magnetic field parameters, correlation was noticed confirming solar nature of detected ionospheric effects. Application of regression methods confirmed the suggestion on statistically significant effect of interplanetary magnetic field parameters on ionosphere dynamics during increased solar activity

Multicomponent model and ionospheric parameter analysis algorithm
Data pre-processing based on multiscale wavelet decomposition:
Architecture and operating principles for LVQ neural network
Results of method application
Conclusions
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