Statistics – Computation
Scientific paper
Dec 2008
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008agufmsh43a1646o&link_type=abstract
American Geophysical Union, Fall Meeting 2008, abstract #SH43A-1646
Statistics
Computation
7509 Corona, 7827 Kinetic And Mhd Theory, 7829 Kinetic Waves And Instabilities, 7836 Mhd Waves And Instabilities (2149, 2752, 6050), 7863 Turbulence (4490)
Scientific paper
The mechanisms of the plasma heating in the solar corona and the solar wind acceleration are still not well understood. Despite this lack of knowledge, a realistic model of the solar corona and inner heliosphere must somehow incorporate these mechanisms -- at least at the phenomenological level -- in order to properly agree with the variety of observational data. Such data ranges from EIT images of the lower corona to the solar wind parameters at 1 AU. Turbulent MHD waves have been suggested as a possible mechanism both to heat the corona and to accelerate the solar wind. Heating is dominated by wave dissipation, which is likely intensified by the wave cascade process, while the main contribution to the solar wind acceleration probably comes from the wave pressure gradient. Hence, a consistent model of the wave turbulence in the inner heliosphere should be based on a wave transport equation which describes the energy and momentum exchange between the turbulent waves and the background plasma through these two effects. As these are dependent on the wave energy spectra, said model becomes effectively four-dimensional (three spatial coordinates plus wave frequency). In the work we present a newly developed computational model in which the coupled system of the wave transport equation and the MHD equations is solved. The model is implemented within the Space Weather Modeling Framework (SWMF) and applied to simulate the solar corona and solar wind. The simulation results are compared with observations. The model may be further extended to include the interaction of MHD waves with solar energetic particles.
Frazin Richard A.
Gombosi Tamas I.
Oran Rona
Roussev Ilia I.
Sokolov Igor V.
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