Statistical Analysis of Geomagnetic Activity and Solar Activity Features during Solar Cycle 23 & 24

Bimal Pande, Mahesh Chandra Mathpal, Seema Pande

Abstract


We present a statistical analysis of the geomagnetic storm (GMSs) with the solar activity features (Sunspot number (SN), H-α flare and coronal mass ejection (CME)) during solar cycle 23 and 24. Sunspot number (SN) shows good correlation with peak values of GMSs indices (correlations coefficient R= 0.76) while CME(R=0.59) and H-α (R=0.55) show moderate correlation. So we conclude that GMSs have good correlation with solar activity features during major geomagnetic storms of solar cycle 23 and 24. These parameters may act as reliable indicators for predicting GMSs and their strength. We have also correlated peak values of various geomagnetic indices among themselves with the highest correlations between Dst-ap (R=0.80) and A.E-ap (R=0.71). We have analyzed the GMSs data during different phases of the solar cycle 23 and 24 and concluded that CMEs are more important drivers of GMSs during the maximum phase of solar cycle while CIR are more significant drivers of GMSs during the decay phase.

 

Keywords: GMSs, Solar Cycle, GI indices

Cite this Article

Bimal Pande, Mahesh Chandra Mathpal, Seema Pande. Statistical Analysis of Geomagnetic Activity and Solar Activity Features during Solar Cycle 23 & 24. Research & Reviews: Journal of Physics. 2017, 6(2): 14–20p.


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DOI: https://doi.org/10.37591/rrjophy.v6i2.140

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