Electric field measurements in the inner magnetosphere by Cluster EDI

Matsui, H.; Quinn, J. M.; Torbert, R. B.; Jordanova, V. K.; Baumjohann, W.; Puhl-Quinn, P.; Paschmann, G.

doi:10.1029/2003ja009913

Cited by 28 publications

(47 citation statements)

References 54 publications

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“…When we follow the direction of convection from the nightside, this is generally pointing to the dayside corresponding to the solar wind-magnetosphere interaction. These features are consistent with our previous statistics (Matsui et al, 2003).…”

Section: Average Electric Field Patternssupporting

confidence: 82%

“…The first choice is for instantaneous reaction. The second one is intermediate and also used in our previous studies (Matsui et al, 2003(Matsui et al, , 2004(Matsui et al, , 2005. The third one is the same time resolution as the K p index, which is known as a good organizing parameter of the inner magnetospheric electric field (Thomsen, 2004).…”

Section: Datamentioning

confidence: 99%

“…Figure 2 shows calculated average electric field patterns in the corotating frame for the lowest and highest IEF ranges defined in the previous paragraph. It should be noted that the scale of the electric field vectors is shown in the upper right part of each panel, while the direction of the electric field vectors is rotated 90 degrees clockwise as performed by Matsui et al (2003) so that the direction of arrows corresponds to that of convection. Each vector is located at L=4.5−9.5 with L=1 and 00:30−23:30 MLT with MLT=1 h. The electric field during the quiet period is mostly stagnant with the amplitude of at most a few tenths of 1 mV/m.…”

Section: Average Electric Field Patternsmentioning

confidence: 99%

“…We have previously investigated statistical electric field patterns in the inner magnetosphere (Matsui et al, 2003(Matsui et al, , 2004(Matsui et al, , 2005 by using electric field data measured by the Electron Drift Instrument (EDI) on Cluster (Paschmann et al, 2001). We inferred that the inner magnetospheric electric field depends on interplanetary parameters.…”

Section: Introductionmentioning

confidence: 99%

“…The strength of the electric field at large K p index increases as the distance from the Earth decreases so that the radial dependence is opposite to the usual ionospheric shielding of the magnetospheric electric field. Quinn et al (1999) reported fluctuating electric fields in the inner magnetosphere measured by the Electron Drift Instrument (EDI) on Equator-S. Matsui et al (2003) analyzed the electric field measured by EDI on Cluster. Various types of electric fields exist, such as those originating from solar-wind magnetosphere coupling, subauroral polarization stream (SAPS), and ionospheric dynamo.…”

Section: Introductionmentioning

confidence: 99%

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Derivation of inner magnetospheric electric field (UNH-IMEF) model using Cluster data set

et al. 2008

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Abstract.We derive an inner magnetospheric electric field (UNH-IMEF) model at L=2-10 using primarily Cluster electric field data for more than 5 years between February 2001 and October 2006. This electric field data set is divided into several ranges of the interplanetary electric field (IEF) values measured by ACE. As ring current simulations which require electric field as an input parameter are often performed at L=2-6.6, we have included statistical results from ground radars and low altitude satellites inside the perigee of Cluster in our data set (L∼4). Electric potential patterns are derived from the average electric fields by solving an inverse problem. The electric potential pattern for small IEF values is probably affected by the ionospheric dynamo. The magnitudes of the electric field increase around the evening local time as IEF increases, presumably due to the sub-auroral polarization stream (SAPS). Another region with enhanced electric fields during large IEF periods is located around 9 MLT at L>8, which is possibly related to solar windmagnetosphere coupling. Our potential patterns are consistent with those derived from self-consistent simulations. As the potential patterns can be interpolated/extrapolated to any discrete IEF value within measured ranges, we thus derive an empirical electric potential model. The performance of the model is evaluated by comparing the electric field derived from the model with original one measured by Cluster and mapped to the equator. The model is open to the public through our website.

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Section: Average Electric Field Patternssupporting

confidence: 82%

Section: Datamentioning

confidence: 99%

Section: Average Electric Field Patternsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Derivation of inner magnetospheric electric field (UNH-IMEF) model using Cluster data set

et al. 2008

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On an energy‐latitude dispersion pattern of ion precipitation potentially associated with magnetospheric EMIC waves

Liang

Donovan

et al. 2014

JGR Space Physics

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Ion precipitation mechanisms are usually energy dependent and contingent upon magnetospheric/ ionospheric locations. Therefore, the pattern of energy-latitude dependence of ion precipitation boundaries seen by low Earth orbit satellites can be implicative of the mechanism(s) underlying the precipitation. The pitch angle scattering of ions led by the field line curvature, a well-recognized mechanism of ion precipitation in the central plasma sheet (CPS), leads to one common pattern of energy-latitude dispersion, in that the ion precipitation flux diminishes at higher (lower) latitudes for protons with lower (higher) energies. In this study, we introduce one other systematically existing pattern of energy-latitude dispersion of ion precipitation, in that the lower energy ion precipitation extends to lower latitude than the higher-energy ion precipitation. Via investigating such a "reversed" energy-latitude dispersion pattern, we explore possible mechanisms of ion precipitation other than the field line curvature scattering. We demonstrate via theories and simulations that the H-band electromagnetic ion cyclotron (EMIC) wave is capable of preferentially scattering keV protons in the CPS and potentially leads to the reversed energy-latitude dispersion of proton precipitation. We then present detailed event analyses and provide support to a linkage between the EMIC waves in the equatorial CPS and ion precipitation events with reversed energy-latitude dispersion. We also discuss the role of ion acceleration in the topside ionosphere which, together with the CPS ion population, may result in a variety of energy-latitude distributions of the overall ion precipitation.

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Long‐lived plasmaspheric drainage plumes: Where does the plasma come from?

et al. 2014

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Long-lived (weeks) plasmaspheric drainage plumes are explored. The long-lived plumes occur during long-lived high-speed-stream-driven storms. Spacecraft in geosynchronous orbit see the plumes as dense plasmaspheric plasma advecting sunward toward the dayside magnetopause. The older plumes have the same densities and local time widths as younger plumes, and like younger plumes they are lumpy in density and they reside in a spatial gap in the electron plasma sheet (in sort of a drainage corridor). Magnetospheric-convection simulations indicate that drainage from a filled outer plasmasphere can only supply a plume for 1.5-2 days. The question arises for long-lived plumes (and for any plume older than about 2 days): Where is the plasma coming from? Three candidate sources appear promising: (1) substorm disruption of the nightside plasmasphere which may transport plasmaspheric plasma outward onto open drift orbits, (2) radial transport of plasmaspheric plasma in velocity-shear-driven instabilities near the duskside plasmapause, and (3) an anomalously high upflux of cold ionospheric protons from the tongue of ionization in the dayside ionosphere, which may directly supply ionospheric plasma into the plume. In the first two cases the plume is drainage of plasma from the magnetosphere; in the third case it is not. Where the plasma in long-lived plumes is coming from is a quandary: to fix this dilemma, further work and probably full-scale simulations are needed.

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Electric field measurements in the inner magnetosphere by Cluster EDI

Cited by 28 publications

References 54 publications

Derivation of inner magnetospheric electric field (UNH-IMEF) model using Cluster data set

Derivation of inner magnetospheric electric field (UNH-IMEF) model using Cluster data set

On an energy‐latitude dispersion pattern of ion precipitation potentially associated with magnetospheric EMIC waves

Long‐lived plasmaspheric drainage plumes: Where does the plasma come from?

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