2022
DOI: 10.1029/2021ja029986
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Variation of Geomagnetic Index Empirical Distribution and Burst Statistics Across Successive Solar Cycles

Abstract: Geomagnetic response at Earth to solar driving is a problem of long-standing and topical interest (Baker, 2000;Milan et al., 2017;Pulkkinen, 2007), both in terms of understanding the underlying fundamental nonlinear physics of the Sun-Earth system and improving space weather preparedness. Geomagnetic indices such as the auroral electrojet (AE) index (Davis & Sugiura, 1966) and disturbance storm-time (Dst) index (Sugiura, 1964) and their higher resolution counterparts (Gjerloev, 2012) are central to characteriz… Show more

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Cited by 7 publications
(4 citation statements)
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“…The NBL fit parameter does not track the variation in activity (smoothed SSN), of the last four solar cycles in the IMF at L1, in SME or SMR. The distribution of solar wind parameters do show solar cycle variation [Tindale & Chapman, 2016] and the top few percent of the data records of both AE and SMR also track the solar cycle [Bergin et al, 2022]. Auroral indices such as AE and SME sample the ground magnetic perturbations from high-latitude current systems, the largest of which are the auroral electrojets.…”
Section: Discussionmentioning
confidence: 98%
“…The NBL fit parameter does not track the variation in activity (smoothed SSN), of the last four solar cycles in the IMF at L1, in SME or SMR. The distribution of solar wind parameters do show solar cycle variation [Tindale & Chapman, 2016] and the top few percent of the data records of both AE and SMR also track the solar cycle [Bergin et al, 2022]. Auroral indices such as AE and SME sample the ground magnetic perturbations from high-latitude current systems, the largest of which are the auroral electrojets.…”
Section: Discussionmentioning
confidence: 98%
“…Overall geomagnetic activity as seen in the aa index tracks the solar cycle variation in solar activity 12 , 13 , and overall levels of geomagnetic activity can be good solar cycle predictors 14 , 15 . The aa index is however highly discretized 16 , 17 ; high fidelity geomagnetic data, available over the last 4–5 cycles confirm that the high quantiles of geomagnetic activity track the variation in solar activity both within and between solar cycles 17 19 .…”
Section: Introductionmentioning
confidence: 89%
“…Storm occurrence rates and intensities vary with the approximately 11 years cycle of solar activity (Bergin et al., 2022; Chapman, McIntosh, et al., 2020) and each cycle is unique in amplitude and duration. Statistical studies to quantify space weather risk thus require observations spanning multiple solar cycles.…”
Section: Introductionmentioning
confidence: 99%