Quantitative simulation of a magnetospheric substorm 3. Plasmaspheric electric fields and evolution of the plasmapause

Spiro, R. W.; Harel, M.; Wolf, R. A.; Reiff, P. H.

doi:10.1029/ja086ia04p02261

Cited by 134 publications

(77 citation statements)

References 60 publications

(78 reference statements)

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“…The Rice University substorm simulation has also shown the formation of plumes near dusk within hours of substorm onset (Spiro et al, 1981). Goldstein et al (2003a) discuss the importance of the evening convection enhancement associated with Published by Copernicus Publications on behalf of the European Geosciences Union.…”

Section: Introductionmentioning

confidence: 99%

Statistical analysis of plasmaspheric plumes with Cluster/WHISPER observations

et al. 2008

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Abstract. Plasmaspheric plumes have been routinely observed by the four Cluster spacecraft. This paper presents a statistical analysis of plumes observed during five years (from 1 February 2001 to 1 February 2006) based on fourpoint measurements of the plasmasphere (outside 4 Earth radii) as it is sampled by the spacecraft in a narrow local time sector before and after perigee. Plasmaspheric plumes can be identified from electron density profiles derived from the electron plasma frequency determined by the WHISPER wave sounder onboard Cluster. As the WHISPER instrument has a limited frequency range (2-80 kHz) only plumes with densities below 80 cm −3 can be identified in this way. Their occurrence is studied as a function of several geomagnetic indices (K p , am and D st ). Their transverse equatorial size, magnetic local time distribution, L position and density variation are discussed. Plasmaspheric plumes are observed mostly for moderate K p and never for small D st . They are found mainly in the afternoon and pre-midnight MLT sectors. Comparisons are also made between the density profiles of the plumes as they are crossed on the in-and outbound legs of the orbit, before and after perigee crossing, respectively.

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Section: Introductionmentioning

confidence: 99%

Statistical analysis of plasmaspheric plumes with Cluster/WHISPER observations

et al. 2008

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“…Irregular density profiles are predicted by plasmaspheric models that simulate the convection and refilling processes, like the CDPDM model (Galperin et al, 1997) and the selfconsistent RICE model (Spiro et al, 1981). Plasmaspheric refilling can produce density irregularities in the equatorial region (Singh, 1988;Singh and Horwitz, 1992).…”

Section: Occurrence Of Density Irregularitiesmentioning

confidence: 99%

Density structures inside the plasmasphere: Cluster observations

et al. 2004

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Abstract. The electron density profiles derived from the EFW and WHISPER instruments on board the four Cluster spacecraft reveal density structures inside the plasmasphere and at its outer boundary, the plasmapause. We have conducted a statistical study to characterize these density structures. We focus on the plasmasphere crossing on 11April 2002, during which Cluster observed several density irregularities inside the plasmasphere, as well as a plasmaspheric plume. We derive the density gradient vectors from simultaneous density measurements by the four spacecraft. We also determine the normal velocity of the boundaries of the plume and of the irregularities from the time delays between those boundaries in the four individual density profiles, assuming they are planar. These new observations yield novel insights about the occurrence of density irregularities, their geometry and their dynamics. These in-situ measurements are compared with global images of the plasmasphere from the EUV imager on board the IMAGE satellite.

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“…Another widely used inner magnetosphere model is the Rice Convection Model (RCM), which describes plasma electrodynamics in the inner and middle magnetosphere and its coupling to the ionosphere (Wolf et al, 1982;Spiro et al, 1981). The RCM represents the plasma distribution in terms of multiple fluids.…”

Section: Introductionmentioning

confidence: 99%

Storm-time ring current: model-dependent results

2012

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Abstract. The main point of the paper is to investigate how much the modeled ring current depends on the representations of magnetic and electric fields and boundary conditions used in simulations. Two storm events, one moderate (SymH minimum of −120 nT) on 6-7 November 1997 and one intense (SymH minimum of −230 nT) on 21-22 October 1999, are modeled. A rather simple ring current model is employed, namely, the Inner Magnetosphere Particle Transport and Acceleration model (IMPTAM), in order to make the results most evident. Four different magnetic field and two electric field representations and four boundary conditions are used. We find that different combinations of the magnetic and electric field configurations and boundary conditions result in very different modeled ring current, and, therefore, the physical conclusions based on simulation results can differ significantly. A time-dependent boundary outside of 6.6 R E gives a possibility to take into account the particles in the transition region (between dipole and stretched field lines) forming partial ring current and near-Earth tail current in that region. Calculating the model SymH* by Biot-Savart's law instead of the widely used Dessler-Parker-Sckopke (DPS) relation gives larger and more realistic values, since the currents are calculated in the regions with nondipolar magnetic field. Therefore, the boundary location and the method of SymH* calculation are of key importance for ring current data-model comparisons to be correctly interpreted.

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Quantitative simulation of a magnetospheric substorm 3. Plasmaspheric electric fields and evolution of the plasmapause

Cited by 134 publications

References 60 publications

Statistical analysis of plasmaspheric plumes with Cluster/WHISPER observations

Statistical analysis of plasmaspheric plumes with Cluster/WHISPER observations

Density structures inside the plasmasphere: Cluster observations

Storm-time ring current: model-dependent results

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