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

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

Apr 2008

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008jgra..11304221z&link_type=abstract

Journal of Geophysical Research, Volume 113, Issue A4, CiteID A04221

Physics

Plasma Physics

Space Plasma Physics: Shock Waves (4455), Nonlinear Geophysics: Turbulence (3379, 4568, 7863), Space Plasma Physics: Nonlinear Phenomena (4400, 6944), Nonlinear Geophysics: Nonlinear Waves, Shock Waves, Solitons (0689, 2487, 3280, 3285, 4275, 6934, 7851, 7852)

Scientific paper

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.

Affiliated with

Also associated with

No associations

Rating

Nonlinear dynamics of foreshock structures: Application of nonlinear autoregressive moving average with exogenous inputs model to Cluster data does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Nonlinear dynamics of foreshock structures: Application of nonlinear autoregressive moving average with exogenous inputs model to Cluster data, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Nonlinear dynamics of foreshock structures: Application of nonlinear autoregressive moving average with exogenous inputs model to Cluster data will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1703867