# Wavelet Analysis of Big Data in the Global Investigation of Magnetic Field Variations in Solar-Terrestrial Physics

## TL;DR

This paper applies wavelet analysis to large-scale solar-terrestrial data to uncover correlations and understand geomagnetic phenomena, contributing to the emerging field of AstroGeoInformatics.

## Contribution

It introduces a wavelet-based approach to analyze diverse big data sources in Solar Terrestrial Physics for the first time.

## Key findings

- Identified correlations in wavelet coefficients across datasets.
- Enhanced understanding of geomagnetic dynamics.
- Demonstrated the utility of wavelet analysis in AstroGeoInformatics.

## Abstract

We provide a Wavelet analysis of Big Data in Solar Terrestrial Physics. In order to explain and predict the dynamics of the geomagnetic phenomena we analyze high frequency time series data from different sources: 1. The Interplanetary Magnetic Field (from the ACE satellite). 2. The Ionospheric parameters - TEC (from ionospheric sounding stations). 3. The ground Geomagnetic data (from ground geomagnetic observatories, located in middle geographic latitudes). We seek for correlations in the wavelet coefficients which explain the dynamics of different magnetic phenomena in the Solar Terrestrial Physics. The large variety of data used in our research from both Solar Astronomy and Earth Observations makes it a contribution to the newly developing area of AstroGeoInformatics.