Initial results from a dynamic coupled magnetosphere-ionosphere-ring current model

Details Initial results from a dynamic coupled magnetosphere-ionosphere-ring current model Initial results from a dynamic coupled magnetosphere-ionosphere-ring current model

Feb 2012

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2012jgra..11702211p&link_type=abstract

Journal of Geophysical Research, Volume 117, Issue A2, CiteID A02211

Physics

Plasma Physics

2

Magnetospheric Physics: Magnetosphere/Ionosphere Interactions (2431), Magnetospheric Physics: Magnetospheric Configuration And Dynamics, Magnetospheric Physics: Ring Current, Space Plasma Physics: Kinetic And Mhd Theory, Space Plasma Physics: Mathematical And Numerical Techniques (0500, 3200)

Scientific paper

In this paper we describe a coupled model of Earth's magnetosphere that consists of the Lyon-Fedder-Mobarry (LFM) global magnetohydrodynamics (MHD) simulation, the MIX ionosphere solver and the Rice Convection Model (RCM) and report some results using idealized inputs and model parameters. The algorithmic and physical components of the model are described, including the transfer of magnetic field information and plasma boundary conditions to the RCM and the return of ring current plasma properties to the LFM. Crucial aspects of the coupling include the restriction of RCM to regions where field-line averaged plasma-β ≤ 1, the use of a plasmasphere model, and the MIX ionosphere model. Compared to stand-alone MHD, the coupled model produces a substantial increase in ring current pressure and reduction of the magnetic field near the Earth. In the ionosphere, stronger region-1 and region-2 Birkeland currents are seen in the coupled model but with no significant change in the cross polar cap potential drop, while the region-2 currents shielded the low-latitude convection potential. In addition, oscillations in the magnetic field are produced at geosynchronous orbit with the coupled code. The diagnostics of entropy and mass content indicate that these oscillations are associated with low-entropy flow channels moving in from the tail and may be related to bursty bulk flows and bubbles seen in observations. As with most complex numerical models, there is the ongoing challenge of untangling numerical artifacts and physics, and we find that while there is still much room for improvement, the results presented here are encouraging.

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