An investigation of the correlation between ionospheric and geomagnetic variations using data from the GPS and INTERMAGNET networks

Afraimovich, É. L.; Astafieva, E. I.; Voeykov, S. V.; Цэгмэд, Б.; Potekhin, A. Y.; Rasson, Jean L.

doi:10.1016/j.asr.2006.01.012

Cited by 4 publications

(2 citation statements)

References 12 publications

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“…The results of (Yin et al, 2004) demonstrated the potential of the two-dimensional tomographic methods extended to three-dimensional timedependent imaging and applied to ground based GPS observations, which allows GPS data to be used for large-scale studies of the ionosphere under very disturbed geomagnetic conditions. (Afraimovich et al, 2006) carried out a comparative analysis of TEC variations and geomagnetic field variations during the intense magnetic storm of 29-31 October 2003 (Kp = 9) for the middle-latitude ionosphere over the North American and European region and showed that magnetic field intensity variations for the period range of 30-60 min correlated well with TEC variations on the same timescale.…”

Section: Introductionmentioning

confidence: 99%

Unexpected Southern Hemisphere ionospheric response to geomagnetic storm of 15 August 2015

et al. 2018

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Abstract. Geomagnetic storms are the most pronounced phenomenon of space weather. When studying ionospheric response to a storm of 15 August 2015, an unexpected phenomenon was observed at higher middle latitudes of the Southern Hemisphere. This phenomenon was a localized total electron content (TEC) enhancement (LTE) in the form of two separated plumes, which peaked southward of South Africa. The plumes were first observed at 05:00 UT near the southwestern coast of Australia. The southern plume was associated with local time slightly after noontime (1–2 h after local noon). The plumes moved with the Sun. They peaked near 13:00 UT southward of South Africa. The southern plume kept constant geomagnetic latitude (63–64° S); it persisted for about 10 h, whereas the northern plume persisted for about 2 h more. Both plumes disappeared over the South Atlantic Ocean. No similar LTE event was observed during the prolonged solar activity minimum period of 2006–2009. In 2012–2016 we detected altogether 26 LTEs and all of them were associated with the southward excursion of Bz. The negative Bz excursion is a necessary but not sufficient condition for the LTE occurrence as during some geomagnetic storms associated with negative Bz excursions the LTE events did not appear.

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Section: Introductionmentioning

confidence: 99%

Unexpected Southern Hemisphere ionospheric response to geomagnetic storm of 15 August 2015

et al. 2018

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“…Ionosphere, the Earth's upper atmosphere, is a part containing atoms that have been ionized by radiation from the Sun. It will show different behavior with the change of solar activity and input of magnetosphere energy (Fuller-Rowell et al 1994, Forbes et al 2000, Afraimovich et al 2006aStankov et al 2006, Trichtchenko et al 2007, Liu et al 2011. The investigation of the inherent characteristics and rules of variations in ionosphere is important to the field of ionospheric physics and the correction of electromagnetic wave refraction.…”

Section: Introductionmentioning

confidence: 99%

An Empirical Model for the Ionospheric Global Electron Content Storm-Time Response

Galas

Ewert

et al. 2016

Acta Geophys.

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A b s t r a c t By analyzing the variations of global electron content (GEC) during geomagnetic storm events, the ratio "GEC/GEC QT " is found to be closely correlated with geomagnetic Kp index and time weighted Dst index, where GEC QT is the quiet time reference value. Moreover, the GEC/GEC QT will decrease with the increase of the solar flux F10.7 index. Furthermore, we construct a linear model for storm-time response of GEC. Eighty-two storm events during 1999-2011 were utilized to calculate the model coefficients, and the performance of the model was tested using data of 8 storm events in 2012 by comparing the outputs of the model with the observed GEC values. Results suggest that the model can capture the characteristics of the GEC variation in response to magnetic storms. The component describing the solar activity influence shows a counteracting effect with the geomagnetic activity component; and the influence of Kp index causes an increase of GEC, while the time weighted Dst index causes a decrease of GEC.

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Statistical analysis of travelling ionospheric disturbances using TEC observations from geostationary satellites

Katamzi

Smith

Mitchell

et al. 2012

Journal of Atmospheric and Solar-Terrestrial Physics

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An investigation of the correlation between ionospheric and geomagnetic variations using data from the GPS and INTERMAGNET networks

Cited by 4 publications

References 12 publications

Unexpected Southern Hemisphere ionospheric response to geomagnetic storm of 15 August 2015

Unexpected Southern Hemisphere ionospheric response to geomagnetic storm of 15 August 2015

An Empirical Model for the Ionospheric Global Electron Content Storm-Time Response

Statistical analysis of travelling ionospheric disturbances using TEC observations from geostationary satellites

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