2019/05/30 by Bozhidar Srebrov, Srebrov, Bozhidar, Ognyan Kounchev +3
Biochemistry, Genetics and Molecular Biology · Computer Science · Earth and Planetary Sciences · Economics, Econometrics and Finance · Physics and Astronomy · #65Z05 #86A25 #Complex Systems and Time Series Analysis #Computational Physics and Python Applications #Data Analysis #Earthquake Detection and Analysis #FOS: Mathematics #FOS: Physical sciences #Geomagnetism and Paleomagnetism Studies #Numerical Analysis (math.NA) #Solar and Space Plasma Dynamics #Space Physics (physics.space-ph) #Statistics and Probability (physics.data-an)
paper · pdf · doi:10.48550/arxiv.1905.12923
openalex publication_date 2019/05/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.