Prompt energization of relativistic and highly relativistic electrons during a substorm interval: Van Allen Probes observations

Foster, J. C.; Erickson, P. J.; Baker, D. N.; Claudepierre, S. G.; Kletzing, C. A.; Kurth, W. S.; Reeves, G. D.; Thaller, S. A.; Spence, Harlan E.; Shprits, Y. Y.; Wygant, J. R.

doi:10.1002/2013gl058438

Cited by 98 publications

(126 citation statements)

References 29 publications

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“…This event was detected by different space weather dedicated satellites such as the Van Allen Probes which monitor the electron particle dynamics in the Earth's radiation belt. From these data, it appears that the plasmapause boundary was forced deeply inward within the magnetosphere implying high aurora electrojet index and a recovery phase of the storm on March 18 at 03:00 UTC (Foster et al 2014;Baker et al 2014;Boyd et al 2014) which is concordant with ROB-TEC observations.…”

Section: Discussionsupporting

confidence: 79%

Near real-time ionospheric monitoring over Europe at the Royal Observatory of Belgium using GNSS data

Bergeot

Chevalier

Bruyninx

et al. 2014

J. Space Weather Space Clim.

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Various scientific applications and services increasingly demand real-time information on the effects of space weather on Earth's atmosphere. In this frame, the Royal Observatory of Belgium (ROB) takes advantage of the dense EUREF Permanent GNSS Network (EPN) to monitor the ionosphere over Europe from the measured delays in the GNSS signals, and provides publicly several derived products. The main ROB products consist of ionospheric vertical Total Electron Content (TEC) maps over Europe and their variability estimated in near real-time every 15 min on 0.5°· 0.5°grids using GPS observations. The maps are available online with a latency of~3 min in IONEX format at ftp://gnss.oma.be and as interactive web pages at www.gnss.be. This paper presents the method used in the ROB-IONO software to generate the maps. The ROB-TEC maps show a good agreement with widely used post-processed products such as IGS and ESA with mean differences of 1.3 ± 0.9 and 0.4 ± 1.6 TECu respectively for the period 2012 to mid-2013. In addition, we tested the reliability of the ROB-IONO software to detect abnormal ionospheric activity during the Halloween 2003 ionospheric storm. For this period, the mean differences with IGS and ESA maps are 0.9 ± 2.2 and 0.6 ± 6.8 TECu respectively with maximum differences (>38 TECu) occurring during the major phase of the storm. These differences are due to the lower resolution in time and space of both IGS and ESA maps compared to the ROB-TEC maps. A description of two recent events, one on March 17, 2013 and one on February 27, 2014 also highlights the capability of the method adopted in the ROB-IONO software to detect in near real-time abnormal ionospheric behaviour over Europe. In that frame, ROB maintains a data base publicly available with identified ionospheric events since 2012.

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Section: Discussionsupporting

confidence: 79%

Near real-time ionospheric monitoring over Europe at the Royal Observatory of Belgium using GNSS data

Bergeot

Chevalier

Bruyninx

et al. 2014

J. Space Weather Space Clim.

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“…Assuming that the wave spectrum is wide enough and the wave intensity is sufficiently low, one can model the wave-particle resonant interactions using quasi-linear theory [4][5][6][7] generalized for systems with inhomogeneous magnetic field and background plasma [8,9]. However, various recent spacecraft observations in the near-Earth plasma environment [10][11][12][13][14], laboratory experiments [15,16], and inertial confinement fusion simulations and experiments [17][18][19] have demonstrated that the applicability of quasi-linear theory is often questionable, because electrons happen to interact with coherent waves sufficiently intense to significantly influence electron motion over long time intervals. There are two main effects of such nonlinear wave-particle interactions: particle trapping by the waves (phase trapping) and particle scattering (phase bunching) with nonzero average change of particle energy [20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Probabilistic approach to nonlinear wave-particle resonant interaction

et al. 2017

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Citation: ARTEMYEV, A.V. ...et al., 2017. Probabilistic approach to nonlinear wave-particle resonant interaction. Physical Review E, 95:023204.Additional Information:• This paper was accepted for publication in the journal Physi- Probabilistic approach to nonlinear wave-particle resonant interaction In this paper we provide a theoretical model describing the evolution of the charged particle distribution function in a system with nonlinear wave particle interactions. Considering a system with strong electrostatic waves propagating in an inhomogeneous magnetic field, we demonstrate that individual particle motion can be characterized by the probability of trapping into the resonance with the wave and by the efficiency of scattering at resonance. These characteristics, being derived for a particular plasma system, can be used to construct a kinetic equation (or generalized FokkerPlanck equation) modelling the long-term evolution of the particle distribution. In this equation, effects of charged particle trapping and transport in phase space are simulated with a nonlocal operator. We demonstrate that solutions of the derived kinetic equations agree with results of test particle tracing. The applicability of the proposed approach for the description of space and laboratory plasma systems is also discussed.

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“…The Van Allen Probes satellites, with their 5.5 R E apogee, were well positioned to observe the plume in-situ, and found good agreement with the TEC maps. Additionally, it was found that the plume was oxygen rich: the O + /H + density ratio increased threefold within the plume (Foster et al 2014a). …”

Section: Plasmaphere Transportmentioning

confidence: 99%

The Earth: Plasma Sources, Losses, and Transport Processes

et al. 2015

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This paper reviews the state of knowledge concerning the source of magnetospheric plasma at Earth. Source of plasma, its acceleration and transport throughout the system, its consequences on system dynamics, and its loss are all discussed. Both observational and modeling advances since the last time this subject was covered in detail (Hultqvist et al., Magnetospheric Plasma Sources and Losses, 1999) are addressed.

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Prompt energization of relativistic and highly relativistic electrons during a substorm interval: Van Allen Probes observations

Cited by 98 publications

References 29 publications

Near real-time ionospheric monitoring over Europe at the Royal Observatory of Belgium using GNSS data

Near real-time ionospheric monitoring over Europe at the Royal Observatory of Belgium using GNSS data

Probabilistic approach to nonlinear wave-particle resonant interaction

The Earth: Plasma Sources, Losses, and Transport Processes

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