Global core plasma model

Gallagher, D. L.; Craven, P. D.; Comfort, R. H.

doi:10.1029/1999ja000241

Cited by 319 publications

(395 citation statements)

References 43 publications

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“…The plasmasphere electron content (PEC) is several orders less than the ionosphere electron content (IEC), but the contribution of PEC to the ionosphere can be significant [1,2]. The plasmasphere density distribution is determined by different physical mechanisms to those of the ionosphere, and the existence of the plasmasphere makes it difficult to interpret data from ionospheric measurements [3].…”

Section: Introductionmentioning

confidence: 99%

Plasmaspheric Electron Content Inferred from Residuals between GNSS-Derived and TOPEX/JASON Vertical TEC Data

et al. 2018

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Abstract:The plasmasphere, which is located above the ionosphere, is a significant component of Earth's atmosphere, and the plasmasphere electron content (PEC) distribution is determined by different physical mechanisms to those of the ionosphere electron content (IEC). However, the observation for the PEC is very limited. In this study, we introduced a methodology (called zero assumption method, which is based on the assumption that PEC can reach zero) to extract the PEC over TOPEX/JASON (T/J) and global navigation satellite system (GNSS) overlapping areas. Results show that the daily systematic bias (T/J vertical TEC > GNSS-derived vertical TEC) for both low (2009) and high (2011) solar activity condition is consistent, and the systematic bias for JASON2 and JASON1 is different. We suggest that systematic biases predominantly arise from the sea state bias (SSB), especially the tracker bias. After removing the systematic bias, we extracted reliable PEC inferred from differences between GNSS-derived vertical TEC and T/J vertical TEC data. Finally, the characteristics of the plasmaspheric component distribution for different local times, latitudes, and seasons were investigated.

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Section: Introductionmentioning

confidence: 99%

Plasmaspheric Electron Content Inferred from Residuals between GNSS-Derived and TOPEX/JASON Vertical TEC Data

et al. 2018

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“…The T96 magnetic field model [Tsyganenko, 1996] is used for the magnetic field estimation. The U09 model applied the Gallagher et al [2000] model to estimate the location of the plasmapause, though the U07 model assumed the axisymmetric plasmapause shape. Gallagher et al [2000] empirically developed the global core plasma model, which provides plasma density, composition, temperature and the shape of plasmapause, as a function of geomagnetic and solar conditions throughout the inner magnetosphere.…”

Section: Interpretation Of the Present Pi2 Signatures By Applying Pasmentioning

confidence: 99%

“…The U09 model applied the Gallagher et al [2000] model to estimate the location of the plasmapause, though the U07 model assumed the axisymmetric plasmapause shape. Gallagher et al [2000] empirically developed the global core plasma model, which provides plasma density, composition, temperature and the shape of plasmapause, as a function of geomagnetic and solar conditions throughout the inner magnetosphere. The key parameter of the plasmapause estimation is Kp, and the Kp dependence is presented in Figure 5 of Uozumi et al [2009].…”

Section: Interpretation Of the Present Pi2 Signatures By Applying Pasmentioning

confidence: 99%

AKR modulation and global Pi2 oscillation

et al. 2011

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[1] In this report we present a temporal relationship between ground Pi2 and auroral kilometric radiation (AKR). We analyzed six isolated substorm events, which were observed by the MAGDAS/CPMN ground magnetometer network and the plasma wave instrument onboard the Polar satellite. We found that the time derivative of the heightintegrated AKR power and the ground Pi2 D component had the same periodicity and that the two were synchronized with each other. When the D component fluctuated with the same (opposite) polarity as the magnetic bay variation, the AKR power tended to increase (decrease) during the corresponding interval. An isolated substorm event (AE ∼ 40 nT), which occurred around 10:19 UT on 24 January1997, was selected for a detailed study. The behavior of the Pi2 event can be interpreted by the substorm current wedge (SCW) and Pi2 propagation models. It is confirmed that the midlatitude and high-latitude D component oscillations can be treated as a proxy of the SCW oscillations, whereas the H component oscillations exhibited some phase shifts by the propagation delay of the Pi2 waves. That is, the temporal relation between the time derivative of the AKR power and the ground Pi2 suggests that the height-integrated AKR power was modulated coherently with the SCW oscillations.

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“…Based on physical arguments, other models assume, however, that the density is proportional to B 2 [e.g., Khazanov et al, 1984]. Some empirical models suggest that the density remains the same at least in a large range of latitudes from the equator [Gallagher et al, 2000]. Therefore, an instantaneous measurement of the density along the field line is critical to understand the processes that determine the distribution of the plasma along a flux tube.…”

Section: Introductionmentioning

confidence: 99%

Plasma density distribution along the magnetospheric field: RPI observations from IMAGE

Reinisch

Huang

Song

et al. 2001

Geophysical Research Letters

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122

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Abstract. A new technique is introduced that remotely measures the plasma density profile in the plasmasphere. Radio plasma imager (RPI) echo observations provide echo delay time as function of frequency, from which the plasma density as function of position along the magnetic field line can be calculated. An example from the nightside plasmasphere (L--3) shows the density having its minimum value near the equator and rapidly increasing densities along the field line above 40 ø magnetic latitude. The density increases at a faster rate toward the ionosphere than the field strength. The index of the power law of the density as a function of field strength increases from a few tenths near the equator to close to unity near 40 ø and greater than 2 near the ionosphere.

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Global core plasma model

Cited by 319 publications

References 43 publications

Plasmaspheric Electron Content Inferred from Residuals between GNSS-Derived and TOPEX/JASON Vertical TEC Data

Plasmaspheric Electron Content Inferred from Residuals between GNSS-Derived and TOPEX/JASON Vertical TEC Data

AKR modulation and global Pi2 oscillation

Plasma density distribution along the magnetospheric field: RPI observations from IMAGE

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