Solar wind control of the tail lobe magnetic field as deduced from Geotail, AMPTE/IRM, and ISEE 2 data

Authors
Citation
Na. Tsyganenko, Solar wind control of the tail lobe magnetic field as deduced from Geotail, AMPTE/IRM, and ISEE 2 data, J GEO R-S P, 105(A3), 2000, pp. 5517-5528
Citations number
33
Categorie Soggetti
Space Sciences
Journal title
JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS
ISSN journal
21699380 → ACNP
Volume
105
Issue
A3
Year of publication
2000
Pages
5517 - 5528
Database
ISI
SICI code
0148-0227(20000301)105:A3<5517:SWCOTT>2.0.ZU;2-X
Abstract
A statistical study was made of the tail lobe field response to the dynamic al pressure of the incoming solar wind and to the interplanetary magnetic f ield, as well as its relation to the concurrent level of the Dst field. The study covers a wide range of distances between 10 and 60R(E) and is based on a large set of tail lobe magnetic field data, compiled from three source s: (1) Geotail magnetometer and low-energy plasma instrument data for 1993- 1997, (2) AMPTE/IRM magnetometer and plasma instrument data for 1985-1986, and (3) ISEE 2 magnetometer and fast plasma experiment data for 1978-1980. The tailward variation of the tail lobe field and of its response to the so lar wind and interplanetary magnetic field (IMF) conditions was studied usi ng a regression relationship, including various combinations of the interpl anetary quantities, measured by IMP 8 and Wind spacecraft. An investigation of the role of the time lag effects was made by tagging each lobe field me asurement by a "trail" of 12 consecutive 5-min average values of the solar wind parameters and finding best fit distributions of the lagged response a mplitudes in the solar-wind and IMF-related regression terms. The goal of t he work is to find a set of input variables providing the highest correlati on between the observed and predicted magnitude of the tail lobe field, so that their combination could be used for parameterizing the strength of the cross-tail current in the data-based magnetospheric models.