INTERBALL statistical study of ion flow fluctuations in the plasma sheet

We use ion distribution measurements with CORALL instrument on-board the INTERBALL/Tail spacecraft to study plasma flows in the mid-tail (−9> X> −27 R_E) plasma sheet. Three velocity components computed every 2 minutes exhibit two types of velocity variations: Earthward bursty bulk flows (BBFs) and random flow fluctuations. Their properties are in a good agreement with the observations of the ISEE-2 spacecraft (Borovsky et al., 1997). The INTERBALL/Tail spacecraft configuration favors measurements of V_z component, in contrast to previous experiments in which only V_x and V_y were measured reliably. In the outer part of the plasma sheet V_y and V_z fluctuations were close to each other (variances σ(V_y) and σ(V_z) were about 160 and 110 km/s, respectively), but in the inner part at the dusk flank amplitude of V_y fluctuations increased and was 2 times higher than that of V_z component. This asymmetry of fluctuations should be taken into account during modern theoretical analysis and simulations.     

Acceleration and particle transport in collisionless plasma in the process of dipolarization and nonstationary turbulence

This work is devoted to studying the processes of the acceleration of plasma particles in thin current sheets that appear during magnetospheric substorms in the Earth’s magnetosphere tail. A numerical model of magnetic dipolarization accompanied by plasma turbulence has been constructed and studied. The model allows one to investigate the particle acceleration due to the action of three principal mechanisms: (1) plasma turbulence; (2) magnetic dipolarization; (3) their simultaneous action. For the given velocity kappa-distributions, we obtained energy spectra of three types of accelerated particles, i.e., protons p⁺, ions of oxygen O⁺, and electrons e^–. It has been shown that the combined mechanism of dipolarization with turbulence (3) makes the largest contribution to the increase in the energy of protons and heavy ions as compared with a separate action of each of mechanisms (1) and (2); in this case, electrons accelerate less. The consideration of the joint action of acceleration mechanisms (1) and (2) can explain the apparition of particles with energies on the order of magnitude equal to hundreds keV in the Earth’s magnetosphere tail.     

AL index dependence on the solar wind input revisited

Estimates of the geomagnetic indices made with real-time solar wind measurements form the basis of many space weather forecast techniques. We analyze 20 years of hourly AL and OMNI solar wind data to determine geomagnetic importance of various solar wind and IMF parameters. Besides the solar wind driver of primary importance (VB_s), the first-order contributions, significantly increasing the quality of the model are: solar wind velocity, 2 h of solar wind prehistory and 1 h of AL history. The factors of secondary importance, marginally contributing to overall statistical quality, are IMF B_y, solar wind density, and IMF fluctuations. The dynamic pressure is geomagnetically effective only if the pressure is lower than the average. Modelling of the same data set with an artificial neural network (ANN) confirmed our selection of important factors. Statistically the ANN model was just marginally better than our analytic expression . The AU index dependence is principally different from AL in several respects; therefore modelling of the AE composite index is physically misleading.     

Energetic particle measurements onboard Spectr-R with MEP-2

The energetic particle experiment MEP-2 onboard the Spectr-R high apogee satellite is briefly described. The instrument measures fluxes and spectra of electrons (30 keV–350 keV) and ions (30 keV–3.2MeV), using two pairs of silicon detectors. The example of first observations upstream from the bow shock illustrates its successful operation in space. Unique observations of ～30 s strong fluctuations of energetic ions with energies up to two hundred keV are discussed.     

Influence of Solar Wind Parameters on the Level of Geomagnetic Field Fluctuations

We investigated the dependence of the geomagnetic activity index K _p on the velocity and density of the solar wind and the intensity of the interplanetary magnetic field (IMF). A three-layer neural network was used to create the model. The degree of the influence of input parameters on K _p was determined by the value of the mean and root-mean square deviations of the model index values from the real indices. It was found that the largest contribution to the K _p index is provided by the Z component of the IMF, the velocity and density of the solar wind measured with a delay from 0 to 3 h relative to the studied value of K _p, and the previous value of the index itself. For the model with such a set of input parameters, the correlation coefficient between model and real series is ±0.89. The analysis of deviations from the real values of K _p showed that high indices are simulated worse than low indices. In order to solve this problem the data distribution was reduced to a uniform distribution over K _p, and this considerably decreased the standard deviations for large values of K _p.     

The Substorm Onset Location Controversy

Recent development of popular substorm onset models was driven by the apparent controversy between ground onset mapping in the near-Earth tail and statistics of tailward flow observations (reconnection signatures), pointing to ∼ -25 R _E downtail. However, several comprehensive multi-point event studies, taking into account backward tracing of flows, place plasmoid origin closer to the near-Earth location, in better consistency with auroral onset observations. Accuracy of such remote onset positioning is about a couple of Earth radii. We further discuss possibilities of reconciliation of different onset scenarios and future critical experiments.