Analysis and Characteristics of the Unpredicted G2 – Moderate Geomagnetic Storm on April 20, 2018 in Solar Cycle 24 Minimum

Velinov, P.; Tassev, Yordan; Tomova, Dimitrinka; Mateev, L. N.

doi:10.7546/crabs.2018.10.09

Cited by 1 publication

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“…This unpredicted magnetic storm was caused by a transequatorial coronal hole CH861 [23]. The hole took a frontal position on the solar disk on 17 April, and its influence caused a moderate (G2) geomagnetic storm on 20 April.…”

Section: April 2018 G2 Stormmentioning

confidence: 99%

Auroral Oval Boundary Dynamics on the Nature of Geomagnetic Storm

Edemskiy

Yasyukevich

2022

Remote Sensing

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During emergency events, we could significantly depend on the stable operation of radio communication, navigation, and radars. The ionosphere, especially its auroral regions, significantly influences radio systems, which is why scientists and engineers create systems to monitor these regions. Using data from the global GNSS network, we analyzed the 10 strongest magnetic storms of solar cycle 24: five coronal mass ejection-driven (CME-driven) and five high-speed stream-driven (HSS-driven) storms. The analysis was based on the calculation of the standard deviation of the total electron content (TEC) derivative (rate of TEC index, ROTI). Under all the storms, the ROTI featured similar dynamics: the average ROTI reaches the highest values during the main phase, and the higher the intensity is, the more intense and equatorward the average ROTI registered. The highest cross-correlations are observed with a lag of 1 h, between the IMF z-component Bz and the magnetic latitude where the highest ROTI values appear. The auroral electrojet (SME index) shows the highest impact on the ROTI dynamics. An increase in the space weather indices (in absolute value) is accompanied by a decrease in the latitude where the maximal ROTI occurs. We found that the peculiarities of a storm affect the ROTI dynamics: all the CME-driven storms feature a high cross-correlation (>0.75) between the IMF z-component Bz and the magnetic latitude where the highest ROTI appears, while the HSS-driven storms feature a lower cross-correlation (<0.75) between them. The difference in duration of similar (by maximal values of geomagnetic indices) HSS- and CME-driven storms could produce differences in the highest ROTI values. Correlations show that compared to HSS-driven storms, CME-driven ones more directly impact the ROTI values and locations of regions with a high ROTI.

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Section: April 2018 G2 Stormmentioning

confidence: 99%