Echo of ring current storms in the ionosphere

Gulyaeva, T.L.; Mannucci, A. J.

doi:10.1016/j.jastp.2020.105300

Cited by 13 publications

(9 citation statements)

References 52 publications

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“…High-time-resolution (including 15, 30, 45 and 60 min) maps are recommended for the application of GIMs with the highest accuracy (Gulyaeva & Mannucci, 2020;Q. Liu, Hernández-Pajares, Lyu, & Goss, 2021;Milanowska et al, 2021).…”

Section: Analysis Of Global Ionosphere Mapsmentioning

confidence: 99%

“…The time lag Δt of the two storm processes with respect to Dst min is expressed analytically in Gulyaeva and Mannucci (2020). Based on the expressions obtained there for the advance of the peak of the positive storms, and the lag (delay) of the peak of the negative storms relative to time t(Dst min ) and the value of Dst min , we obtain (in hours):…”

Section: Analysis Of Global Ionosphere Mapsmentioning

confidence: 99%

“…High‐time‐resolution (including 15, 30, 45 and 60 min) maps are recommended for the application of GIMs with the highest accuracy (Gulyaeva & Mannucci, 2020; Q. Liu, Hernández‐Pajares, Lyu, & Goss, 2021; Milanowska et al., 2021). In a past comparison of different GIM‐TECs for high and low solar activity, the highest accuracy was obtained by the post‐processed UQRG GIMs provided by the Universitat Politècnica de Catalunya (UPC) (Wielgosz et al., 2021).…”

Section: Analysis Of Global Ionosphere Mapsmentioning

confidence: 99%

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Generation of Proxy GIM‐TEC for Extreme Storms Before the Era of GNSS Observations

et al. 2022

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Total Electron Content (TEC) in the Earth's ionosphere and plasmasphere is a reliable indicator of the impact of long-term and short-term changes on the Sun, the interplanetary space and the Earth's upper atmosphere. Therefore, the development of TEC models are of great importance in today's space weather science and applications. Currently, climate models of the ionosphere and methods for forecasting the ionospheric disturbances are being successfully developed based on the analysis of TEC and Global Ionosphere Maps (GIM-TEC) from GNSS observations during 23-24 solar cycles (SC). Relevant examples and references are presented in the works (

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Section: Analysis Of Global Ionosphere Mapsmentioning

confidence: 99%

Section: Analysis Of Global Ionosphere Mapsmentioning

confidence: 99%

Section: Analysis Of Global Ionosphere Mapsmentioning

confidence: 99%

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Generation of Proxy GIM‐TEC for Extreme Storms Before the Era of GNSS Observations

et al. 2022

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“…Previous works by Mendillo and Klobuchar (2006), Mannucci et al (2013),Tsurutani et al (2012, and Gulyaeva and Mannucci (2020) describe how dawn-to-dusk-directed electric field perturbations coupled with lower altitude photoionization can increase the total plasma content in the ionosphere during daylight hours and how decreases in the O/N 2 ratio can lead to reductions in plasma content. Our study invokes both of these effects to explain the local time-related changes in ΔTEC seen in the higher latitude regions of the US sector.…”

Section: Relevance Of Findings To Prior Workmentioning

confidence: 99%

The Relative Importance of Geomagnetic Storm Signatures on the Total Electron Content Perturbations Over the Continental US

2021

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Total electron content (TEC) is known to vary significantly in response to geomagnetic storms, and the high density of GPS receivers in North America makes it attractive for studying these TEC variations in detail. The network of Continuously Operating Reference Stations (CORS) produces vertical (slant-corrected) TEC measurements, and it has been operational for a sufficient length of time to allow study of both seasonal and solar cycle effects on TEC fluctuations. A study by Immel and Mannucci (2013) has indicated that the global storm-time TEC enhancements are most pronounced in the American sector, making it an interesting candidate to study in detail. In one of the more ambitious studies to date, Thomas et al. (2016) use 13 years of data from the CORS network to separate the effects of time, longitude, and season on TEC variations. They find that the typical response to a storm involves a positive phase (increased TEC relative to normal conditions) in the sunlit and early evening ionosphere, followed by a longer duration negative phase (decreased TEC relative to normal conditions) at all latitudes and local times. Their study also show that the magnitude of increased TEC over the US sector in response to storms is larger in the eastern half of the country, where the magnetic declination is negative. They suggest that the declination may be important because for the same zonal neutral wind, the field-aligned plasma motion depends on the orientation of the wind vector relative to the local geomagnetic field. For example, an eastward zonal wind in the northern hemisphere will tend to move plasma upward along the field lines in regions with negative magnetic declination, and downward in regions where the declination is positive. Neutral winds and electric fields are both drivers of upward and downward motion of the F-region plasma. Moving plasma to higher altitudes where collisional recombination is low is one possible mechanism for increasing TEC in sunlit conditions, since photoionization at the lower altitudes can rapidly replace plasma that is displaced upward. The result is a thicker F-region that increases the measured TEC.

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“…Afterward the degree of ionospheric disturbance, W‐index, was introduced in Gulyaeva and Stanislawska (2008) in terms of the logarithm of hourly Total Electron Content (TEC) referred to the median hourly TEC for the past 27 days. In addition, the ionosphere variability index

V_{σ}

was obtained by moving TEC median in the preceding 15 days with variance bounds at grid points of GIM (Gulyaeva & Mannucci, 2020). In order to remove the dependence of the ionospheric state on season, local time, and geographical position, the ionospheric storm scale (I‐scale) was proposed by Nishioka et al.…”

Section: Introductionmentioning

confidence: 99%

Ionospheric Storm Scale Index Based on High Time Resolution UPC‐IonSAT Global Ionospheric Maps (IsUG)

et al. 2021

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Driven by the high energy inputs resulting from geomagnetic storms, the ionospheric storms contain varying electron density and have significant impacts on the society in general and on the space environment in particular, including high ionospheric correction error for trans-ionospheric radio signals, blackouts of High Frequency (HF) communication systems and disruption of Ultra High Frequency (UHF) satellite communications (Buonsanto, 1999). The evolution of ionospheric storms can be divided into positive phase (when the electron density increases) and negative phase (when the electron density decreases; Fagundes et al., 2016). It is important to identify the ionospheric conditions for the space weather warnings to mitigate the influence of ionospheric storms.In 1960, a monthly ionospheric index was introduced in terms of a monthly mean of the ionospheric critical frequency 𝐴𝐴 𝐴𝐴0𝐹𝐹 2 measured from several stations, reflecting the average conditions of the ionosphere (Minnis & Bazzard, 1960). And the improved ionospheric index MF2 was proposed to increase the accuracy of monthly median 𝐴𝐴 𝐴𝐴0𝐹𝐹 2 estimation and long-term prediction (Mikhailov & Mikhailov, 1995; Perrone & De

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Echo of ring current storms in the ionosphere

Cited by 13 publications

References 52 publications

Generation of Proxy GIM‐TEC for Extreme Storms Before the Era of GNSS Observations

Generation of Proxy GIM‐TEC for Extreme Storms Before the Era of GNSS Observations

The Relative Importance of Geomagnetic Storm Signatures on the Total Electron Content Perturbations Over the Continental US

Ionospheric Storm Scale Index Based on High Time Resolution UPC‐IonSAT Global Ionospheric Maps (IsUG)

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