Nonlinear dynamics of foreshock structures: Application of nonlinear autoregressive moving average with exogenous inputs model to Cluster data

D. Zhu, M. A. Balikhin, M. Gedalin, H. Alleyne, S. A. Billings, Y. Hobara, V. Krasnosel'skikh, M. W. Dunlop, M. Ruderman

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Nonlinear processes identification techniques based on multi-input nonlinear autoregressive moving average with exogenous inputs model has been applied to four-point Cluster measurements in order to study nonlinear processes that take place in the terrestrial foreshock. It is shown that both quadratic and cubic processes are involved in the evolution of shocklets in particular in the steepening of their leading edge and generation of whistler precursor. Nonlinear processes do not play an essential role in the dynamics and propagation of small-amplitude whistler packets. However, for large-amplitude wave packets, cubic processes lead to the considerable modification of apparent propagation velocity.

Original languageEnglish
Article numberA04221
JournalJournal of Geophysical Research: Space Physics
Volume113
Issue number4
DOIs
StatePublished - 1 Apr 2008

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