Physics
Scientific paper
Dec 2004
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004agufmsm51b0369w&link_type=abstract
American Geophysical Union, Fall Meeting 2004, abstract #SM51B-0369
Physics
2724 Magnetopause, Cusp, And Boundary Layers, 2740 Magnetospheric Configuration And Dynamics, 2753 Numerical Modeling, 2784 Solar Wind/Magnetosphere Interactions
Scientific paper
The solar wind is a crucial driver for the dynamics of the Earth's magnetosphere. One of the most effective ways to transfer mass, momentum and energy from the solar wind into the Earth's magnetosphere is through magnetic reconnection at the magnetopause. An important mode of reconnection produces patchy, transient flux transfer events (FTEs). The structure of FTEs carries important information about the Sun-Earth coupling. However, conventional observations with single satellites and simulations with restricted spatial range have significant limitations for revealing the real nature of FTEs. Recent progress in both FTE observations with multi-spacecraft and FTE simulations with global MHD models greatly advances our understanding of FTEs. However, even multi-spacecraft observations still fall short of obtaining the global structure and evolution of FTEs, e.g., the determination of FTEs on some typical characteristics of observations may be misleading because of the complexity of FTE structures and different paths of the spacecraft across FTEs. In this study, we use global FTE simulation results to investigate the influence of different factors, including the path of the spacecraft through an FTE flux tube, on FTE observational signatures by running pseudo-spacecraft through a simulated FTE. We find significant dependence of FTE observational signatures on those factors. The results of this study are further used to determine a better observational FTE definition and expected signatures. We show that the combination of state-of-the-art FTE observations and simulations can significantly enhance our ability to interpret multi-spacecraft FTE observations. Meanwhile, it helps us to better understand model results for further model improvements.
Birn Joachim
Elphic Richard C.
Lavraud Benoit
Raeder Joachim
Taylor M. G.
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