An empirical RBF model of the magnetosphere parameterized by interplanetary and ground-based drivers
N. A. Tsyganenko and V. A. Andreeva
In a recent paper [Andreeva and Tsyganenko, 2016], a novel method was proposed to model the magnetosphere directly
from spacecraft data, with no a priori knowledge nor ad hoc assumptions about the geometry of the magnetic
field sources. The idea was to split the field into the toroidal and poloidal parts and then expand each part into
a weighted sum of radial basis functions (RBF). In the present work we take the next step forward by having developed
a full-fledged model of the near magnetosphere, based on a multi-year set of space magnetometer data (1995-2015) and
driven by ground-based and interplanetary input parameters. The model consolidates the largest ever amount of data and
has been found to provide the best ever merit parameters, in terms of both the overall r.m.s. residual field and record-high
correlation coefficients between the observed and model field components. By experimenting with different combinations
of input parameters and their time averaging intervals, we found the best so far results to be given by the ram pressure
Pd, Sym-H, and N-index by Newell et al. . In addition, the IMF By has also been included as a model driver, with
a goal to more accurately represent the IMF penetration effects. The model faithfully reproduces both externally and
internally induced variations in the global distribution of the geomagnetic field and electric currents. Stronger solar
wind driving results in a deepening of the equatorial field depression and a dramatic increase of its dawn-dusk asymmetry.
The Earth’s dipole tilt causes a consistent deformation of the magnetotail current sheet and a significant north-south
asymmetry of the polar cusp depressions on the dayside. Next steps to further develop the new approach are also discussed.
Published in JGR-A, November 5, 2016
This work was supported by the Russian Science Foundation grant 14-17-00072.