Other
Scientific paper
Dec 2006
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006agufmsh31a0379c&link_type=abstract
American Geophysical Union, Fall Meeting 2006, abstract #SH31A-0379
Other
2722 Forecasting (7924, 7964), 2740 Magnetospheric Configuration And Dynamics, 2784 Solar Wind/Magnetosphere Interactions, 2788 Magnetic Storms And Substorms (7954), 7839 Nonlinear Phenomena (4400, 6944)
Scientific paper
The magnetospheric response to strong driving by the solar wind is higly structured, and spatially resolved data are essential for the understanding of the spatio-temporal dynamics. A database of the solar wind data from ISEE3 and IMP8 spacecraft, and ground-based magnetometer data from high latitude stations [Kamide et al., JGR, 17,705, 1998] is used to study the magnetospheric response to solar wind variables during intense storms. This high resolution database for the six month period January-June 1979 is used to compute the mutual information functions in order to analyse the correlations. A key feature of the mutual information function is its ability to bring out the linear as well as nonlinear correlations and such functions are needed to study the magnetospheric dynamics, which is inherently nonlinear. These functions yield the coherence time in the case of a single station, and the cross-correlation time in the case of two stations. The minimum window length required for computing robust functions is found to be about 6 hrs. Another window length of 24 hrs is used in these studies to analyze the dyanmics on longer time scales. The spreads in the average mutual information, computed from the magnetometer data for these time windows of 6 and 24 hour lengths, show strong correlations with the solar wind convective electric field and the sudden changes in the dynamic pressure. The time evolution of mutual information shows a westward expansion of the disturbed region in the night side magnetosphere, starting from near the midnight sectors. The linear correlation functions computed from the data fail to yield the correlations shown by the mutual information function, consistent with the nonlinear behavior of the magnetospheric response. From the space weather perspective the correlations among the different regions is a critical element as these will enable forecasts of regional, rather than the global, conditions.
Chen Jiahua
Shao Xiaofeng
Sharma Sanjeev
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