Analysis of behavior of solar wind parameters under different IMF conditions using nonlinear dynamics techniques

Details Analysis of behavior of solar wind parameters under different IMF conditions using nonlinear dynamics techniques Analysis of behavior of solar wind parameters under different IMF conditions using nonlinear dynamics techniques

Dec 2005

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005jastp..67.1859o&link_type=abstract

Journal of Atmospheric and Terrestrial Physics, v. 67, iss. 17-18 [SPECIAL ISSUE], p. 1859-1864.

Physics

3

Scientific paper

We select time windows in time series of solar wind for a group of magnetic clouds and plasmoids to analyze the dynamical behavior of the IMF Bz component and the Vx flux velocity component. Besides, we select time windows before the occurrence of magnetic clouds to analyze the solar wind behavior under “normal” conditions. These physical variables are characterized applying two techniques adopted from the nonlinear dynamics theory, the spatio-temporal entropy (STE) and the correlation time (τ). They were calculated for each time window using the chaos data analyzer (CDA) and visual recurrence analysis (VRA) software. The obtained results show that under magnetic cloud conditions, the IMF Bz has the tendency to longer correlation times and lower values of STE. Besides the Vx component of the solar wind flux has a complex behavior in all studied cases.

Affiliated with

Also associated with

No associations

Rating

Analysis of behavior of solar wind parameters under different IMF conditions using nonlinear dynamics techniques 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 Analysis of behavior of solar wind parameters under different IMF conditions using nonlinear dynamics techniques, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Analysis of behavior of solar wind parameters under different IMF conditions using nonlinear dynamics techniques will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1435071