Behavior of the Total Electron Content over the Arctic and Antarctic sectors during several intense geomagnetic storms

Mansilla, Gustavo Adolfo

doi:10.1016/j.geog.2019.01.004

Cited by 16 publications

(12 citation statements)

References 35 publications

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“…The small-scale variation in plasma density causes significant fluctuation in the amplitude and phase of the ionosphere radio signals called scintillation (Chapagain, 2016). Large-scale fluctuations and corresponding TEC variations may complicate the phase ambiguity resolution, maximize the rate of uncorrected cycle slips, and lose the signal lock in GNSS (Mansilla et al, 2019). From the investigation of some intense geomagnetic storms in the period 2012-2016, Mansilla et al (2019) found both positive and negative TEC variations with greater fluctuations over Arctic stations than Antarctic stations.…”

Section: Silwal Et Almentioning

confidence: 99%

“…Large-scale fluctuations and corresponding TEC variations may complicate the phase ambiguity resolution, maximize the rate of uncorrected cycle slips, and lose the signal lock in GNSS (Mansilla et al, 2019). From the investigation of some intense geomagnetic storms in the period 2012-2016, Mansilla et al (2019) found both positive and negative TEC variations with greater fluctuations over Arctic stations than Antarctic stations. Further, positive fluctuations were found to be more significant in winter and negative disturbances were noticed to be long-lasting.…”

Section: Silwal Et Almentioning

confidence: 99%

“…From the investigation of some intense geomagnetic storms in the period 2012–2016, Mansilla et al. (2019) found both positive and negative TEC variations with greater fluctuations over Arctic stations than Antarctic stations. Further, positive fluctuations were found to be more significant in winter and negative disturbances were noticed to be long‐lasting.…”

Section: Introductionmentioning

confidence: 99%

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Global Positioning System Observations of Ionospheric Total Electron Content Variations During the 15th January 2010 and 21st June 2020 Solar Eclipse

et al. 2021

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Section: Silwal Et Almentioning

confidence: 99%

Section: Silwal Et Almentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Global Positioning System Observations of Ionospheric Total Electron Content Variations During the 15th January 2010 and 21st June 2020 Solar Eclipse

et al. 2021

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“…Ionospheric electron density is usually seriously affected by severe geomagnetic conditions (Atıcı & Sağır, 2020; Danilov & Lastovicka, 2001; Fuller‐Rowell et al., 1994; Mansilla, 2019). In quiet geomagnetic conditions, the electron density profiles are regular, and their shapes conform to the Chapman function, while in severe conditions, the ionospheric electron densities are greatly disturbed.…”

Section: Resultsmentioning

confidence: 99%

Application of a Multi‐Layer Artificial Neural Network in a 3‐D Global Electron Density Model Using the Long‐Term Observations of COSMIC, Fengyun‐3C, and Digisonde

Zhao

Hé

et al. 2021

Space Weather

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The ionosphere plays an important role in satellite navigation, radio communication and space weather prediction. However, it is still a challenging mission to develop a model with high predictability that captures the horizontal-vertical features of ionospheric electrodynamics. In this study, multiple observations during 2005-2019 from space-borne GNSS radio occultation (RO) systems (COSMIC and FY-3C) and the Digisonde Global Ionosphere Radio Observatory (GIRO) are utilized to develop a completely global ionospheric three-dimensional electron density model based on an artificial neural network, namely ANN-TDD. The correlation coefficients of the predicted profiles all exceed 0.96 for the training, validation and test datasets, and the minimum root-mean-square error (RMSE) of the predicted residuals is 7.8×10 4 el/cm 3. Under quiet space weather, the predicted accuracy of the ANN-TDD is 30%-60% higher than the IRI-2016 at the Millstone Hill and Jicamarca incoherent scatter radars. However, the ANN-TDD is less capable of predicting ionospheric dynamic Accepted Article This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process, which may lead to differences between this version and the Version of Record. Please cite this article as

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“…The 19–22 December 2015 storm was a significant and complex event that has been mentioned in several papers on the effects of space weather. These papers have examined the scintillation of transionospheric radio signals (Chashei et al, 2016; Loucks et al, 2017; Wang et al, 2018; Zakharenkova & Cherniak, 2018), the ionospheric total electron content (TEC) (Blagoveshchensky et al, 2018; Mansilla, 2019), geomagnetically induced currents (GIC) in the Irish power network (Blake et al, 2016), and the response of the magnetosphere as a nonlinear system (Balasis et al, 2018). This storm has also been mentioned in papers using Van Allen Probes data, including a study of impulsive electric fields associated with interplanetary shocks (Zhang et al, 2018), a study of whistler mode chorus with tones that oscillate in frequency (Gao et al, 2017), and a survey of radiation belt enhancements observed by the Van Allen Probes from October 2012 to April 2017 (Boyd et al, 2018).…”

Section: Space Weather Context For the Emic Wave Observationsmentioning

confidence: 99%

Simultaneous Observations of Electromagnetic Ion Cyclotron (EMIC) Waves and Pitch Angle Scattering During a Van Allen Probes Conjunction

et al. 2020

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On 22 December 2015, the two Van Allen Probes observed two sets of electromagnetic ion cyclotron (EMIC) wave bursts during a close conjunction when both Probe A and Probe B were separated by 0.57 to 0.68 R E . The EMIC waves occurred during an active period in the recovery phase of a coronal mass ejection-driven geomagnetic storm. Both spacecraft observed EMIC wave bursts that had similar spatial structure within a 1-2 min time delay. The EMIC waves occurred outside the plasmasphere, within ΔL ≈ 1-2 of the plasmapause and within a few degrees in magnetic latitude of the equatorial plane. The spatial structure of the EMIC wave bursts may have been related to the proton drift paths outside the plasmasphere and influenced by total magnetic field strength variations associated with solar wind pressure enhancements. The EMIC waves were observed in a narrow L shell region from L ≈ 4.55-5.32 between 10 and 11 magnetic local time (MLT) on the outbound halves of the spacecraft orbits and from L ≈ 4.82-5.51 between 13 and 14 MLT on the inbound halves of the spacecraft orbits. However, Pc1 pulsations were observed on the ground over a broad range of local times. The anisotropy of the proton pitch angle distributions was enhanced when the EMIC waves were observed. Although the overall radiation belt response during this storm was dominated by acceleration and transport processes, the EMIC waves produced local pitch angle scattering of 13-15 keV protons and 2.1-2.6 MeV electrons, consistent with calculations of the expected resonant energies.

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Behavior of the Total Electron Content over the Arctic and Antarctic sectors during several intense geomagnetic storms

Cited by 16 publications

References 35 publications

Global Positioning System Observations of Ionospheric Total Electron Content Variations During the 15th January 2010 and 21st June 2020 Solar Eclipse

Global Positioning System Observations of Ionospheric Total Electron Content Variations During the 15th January 2010 and 21st June 2020 Solar Eclipse

Application of a Multi‐Layer Artificial Neural Network in a 3‐D Global Electron Density Model Using the Long‐Term Observations of COSMIC, Fengyun‐3C, and Digisonde

Simultaneous Observations of Electromagnetic Ion Cyclotron (EMIC) Waves and Pitch Angle Scattering During a Van Allen Probes Conjunction

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