Statistics – Computation
Scientific paper
May 2006
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006agusmsm41c..07s&link_type=abstract
American Geophysical Union, Fall Meeting 2007, abstract #SM41C-07
Statistics
Computation
7954 Magnetic Storms (2788), 2784 Solar Wind/Magnetosphere Interactions, 2788 Magnetic Storms And Substorms (7954), 2790 Substorms
Scientific paper
A computationally optimized low dimensional nonlinear dynamical model of the magnetosphere-ionosphere system called WINDMI is used to analyze large geomagnetic storm events. The results are evaluated focusing on the sawtooth intervals and the overall prediction of the westward auroral electrojet (AL) index and Dst index. The input to the model is the dynamo driving voltage derived from the fluctuating solar wind plasma and the interplanetary magnetic field measured by the ACE satellite. The output of the model is a field aligned current proportional to the AL index and the energy stored in the ring current which is proportional to the Dst index. The model parameters are optimized using a genetic algorithm (GA) to obtain solutions that simultaneously have least mean square fit to the AL and Dst indices and also exhibit substorms of period 2-4 hours. The GA optimization results show that the model is able to predict the Dst index reliably and captures the timing and periodicity of the sawtooth signatures in the AL index reasonably well for the storm events. This work was partially supported by NSF grant ATM-0539099. J. Kozyra would like to acknowledge support for this work under NASA grant NNG05GJ89G and NSF grant ATM-0402163.
Doxas Isidoros
Horton Wendell
Kozyra Janet
Mays L.
Spencer Edwin
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