Radio bursts related geomagnetic storms with coronal mass ejections, x-ray solar flares and solar wind disturbances: a survey
Journal: International Journal of Innovative Research & Growth (Vol.10, No. 10)Publication Date: 2021-12-15
Authors : Preetam Singh Gour Shiva Soni;
Page : 48-55
Keywords : Keywords: - Coronal mass ejections; X-ray solar flares; Geomagnetic storms; solar wind Plasma parameters.;
Abstract
In this survey we have studied radio bursts related geomagnetic storms having magnitude ≤-90nT observed during the period of 1997-2011 and analyzed with coronal mass ejections, X-ray solar flares and disturbances in solar wind plasma parameters. From the analysis we have found total number of radio bursts related geomagnetic storms ≤-90nT, observed are 42. Out of 42 geomagnetic storms 37 (88.09%) geomagnetic storms are found to be associated with coronal mass ejections (CMEs). We have further observed that the majority of geomagnetic storms are related to halo CMEs (67.57%). Further we have observed weak positive co-relation with co-relation 0.28 between the magnitudes of radio bursts related geomagnetic storms and speed of associated coronal mass ejections by statistical method. Out of 42 geomagnetic storms 05 (11.90 %) geomagnetic storms are found to be associated with X class X-ray solar flares. 25 (59.52%) geomagnetic storms are found to be associated with M class X-ray solar flares and 07(16.67%) geomagnetic storms are found to be associated with C class X-ray solar flares. 05(11.90%) are found to be associated with B class X-ray solar flares. We have selected jump in different plasma parameters events associated with RB related GMS and studied statistical behavior of these events with coronal mass ejections. By the analysis we observed that the peak value of jump in solar wind plasma temperature (JSWT), jump in solar wind plasma pressure (JSWP), jump in solar wind plasma velocity (JSWV) events are moderately correlated with CMEs and magnitude of jump in solar wind plasma density (JSWD), JSWV are weakly correlated with CMEs with correlation coefficient 0.26.
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