CLUSTER and IMAGE: New Ways to Study the Earth’s Plasmasphere

Keyser, Johan De; Carpenter, D. L.; Darrouzet, F.; Gallagher, D. L.; Tu, J.

doi:10.1007/s11214-008-9464-7

Cited by 11 publications

(3 citation statements)

References 174 publications

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“…The time scale of a CRRES orbit, ∼10 h, is on the order of the time a plasma plume can form and change. CRRES was also unable to determine the cold plasma velocity thereby making it difficult to discern plasmaspheric features such as those seen by Cluster [ Keyser et al , ]. When processing the density data for CRRES, plasmaspheric boundaries as well as plasma plume boundaries are frequently found by eye as seen in Figure , or by using a sudden change in density by a set factor, for example 5, for the plasmapause and exceeding the Sheeley et al [] model for plasma plumes as described and used by Moldwin et al [].…”

Section: Resultsmentioning

confidence: 99%

EMIC waves and plasmaspheric and plume density: CRRES results

2015

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Electromagnetic ion cyclotron (EMIC) waves frequently occur during geomagnetic storms, specifically during the main phase and 3-6 days following the minimum Sym − H value. EMIC waves contribute to the loss of ring current ions and radiation belt MeV electrons. Recent studies have suggested that cold plasma density structures found inside the plasmasphere and plasmaspheric plumes are important for the generation and propagation of EMIC waves. During the CRRES mission, 913 EMIC wave events and 124 geomagnetic storms were identified. In this study we compare the quiet time cold plasma density to the cold plasma density measured during EMIC wave events across different geomagnetic conditions. We found statistically that EMIC waves occurred in regions of enhanced densities. EMIC waves were, on average, not associated with large local negative density gradients.

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Section: Resultsmentioning

confidence: 99%

EMIC waves and plasmaspheric and plume density: CRRES results

2015

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“…The unique measurement techniques of these missions have greatly enhanced our ability to develop empirical models of plasma density and electric field in the plasmasphere or more generally in the inner magnetosphere. More details about the missions are available elsewhere in this issue (De Keyser et al 2008).…”

Section: Introductionmentioning

confidence: 99%

Augmented Empirical Models of Plasmaspheric Density and Electric Field Using IMAGE and CLUSTER Data

et al. 2009

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Empirical models for the plasma densities in the inner magnetosphere, including plasmasphere and polar magnetosphere, have been in the past derived from in situ measurements. Such empirical models, however, are still in their initial phase compared to magnetospheric magnetic field models. Recent studies using data from CRRES, POLAR, and IMAGE have significantly improved empirical models for inner-magnetospheric plasma and mass densities. Comprehensive electric field models in the magnetosphere have been developed using radar and in situ observations at low altitude orbits. To use these models at high altitudes one needs to rely strongly on the assumption of equipotential magnetic field lines. 232 B.W. Reinisch et al.Direct measurements of the electric field by the CLUSTER mission have been used to derive an equatorial electric field model in which reliance on the equipotential assumption is less. In this paper we review the recent progress in developing empirical models of plasma densities and electric fields in the inner magnetosphere with emphasis on the achievements from the IMAGE and CLUSTER missions. Recent results from other satellites are also discussed when they are relevant.

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“…But, XUV only observed the dusk side of the plasmasphere because of the spacecraft's orbit designation and its limitation of field-of-view (Nakamu et al 2000). Several years later, another EUV imager installed on the IMAGE satellite was launched by NASA, which provided the global images of the terrestrial plasmasphere with a spatial resolution of 0.1 R E every 10 min (Davis et al 2013;Keyser et al 2009;Sandel et al 2001). These images showed the temporal evaluation of the plasmaspheric dynamics and gave the electron density distribution (Fu et al 2010;He et al 2010;Sandel et al 2003).…”

Section: Introductionmentioning

confidence: 99%

Geocentric position preliminary detection from the extreme ultraviolet images of Chang’E-3

Chen

Ping

Wang

et al. 2015

Astrophys Space Sci

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An Extreme ultraviolet (EUV) Camera was installed onboard the Chinese lunar surface landing mission, the Chang'E-3 lander, as a useful method to observe the Earth plasmasphere. This EUV optical payload obtained more than 600 moon-based Earth plasmasphere images since December 14, 2013. However, due to errors of unknown size and origin in the platform attitude control of the lander and in the EUV telescope pointing control during the mission operating periods, the geocentric coordinates in these EUV images are not fixed in the same position of CCD pixel. Before adequately calibrating, these positioning offsets will introduce extra errors into the analysis of the plasmaspheric structure. With only a little insufficient telemetry information, an effective calibrating method of circle-based differential algorithm is suggested and demonstrated, for automatically and precisely detecting the geocentric position in each EUV image of Chang'E-3 mission. In each EUV image, the tested method uses the outline of a circle as the basic unit to capture the contour for the bright region based on the spectral characteristic. Then, the center of the extracted circle is adopted as the geocentric position for the image. The preliminary analysis shows that this method can effectively detect the geocentric position being always consistent with the recognition result by the basic hand labor method. It is found that the radius of the circles varies from month to month from December, 2013 to May, 2014. The monthly averages of radius show relative notable positive correlation and negative correlation with the changes of both Zenith angle of the Earth at the landing area of Chang'E-3 lander, and B C. Zheng the Earth-moon distance, respectively. This method and results here will benefit the Chang'E-3 EUV study.

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CLUSTER and IMAGE: New Ways to Study the Earth’s Plasmasphere

Cited by 11 publications

References 174 publications

EMIC waves and plasmaspheric and plume density: CRRES results

EMIC waves and plasmaspheric and plume density: CRRES results

Augmented Empirical Models of Plasmaspheric Density and Electric Field Using IMAGE and CLUSTER Data

Geocentric position preliminary detection from the extreme ultraviolet images of Chang’E-3

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