Using Global MHD Models to Interpret STEREO Observations

Details Using Global MHD Models to Interpret STEREO Observations Using Global MHD Models to Interpret STEREO Observations

Dec 2007

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007agufmsh32a0788r&link_type=abstract

American Geophysical Union, Fall Meeting 2007, abstract #SH32A-0788

Physics

2101 Coronal Mass Ejections (7513), 2134 Interplanetary Magnetic Fields, 2169 Solar Wind Sources, 7513 Coronal Mass Ejections (2101), 7524 Magnetic Fields

Scientific paper

The STEREO mission presents a unique opportunity to combine both remote and in situ observations from multiple vantage points, and, in particular, to provide simultaneous limb and disk-centered observations. In spite of this wealth of data, the system remains remarkably under-sampled, and reconstructing 3-D structure from the observations remains a formidable task. In this presentation we use global MHD models, which reproduce the eruption and evolution of specific CME events through the corona and past the orbit of Earth, to explore the relationship between the various remote sensing and in situ observations that would be seen at the two STEREO spacecraft. These simulations were developed as part of our contribution to NASA's Living With a Star TR&T focused science topic on the relationship between ICMEs and their solar sources. Our model, which incorporates coronal heating, thermal conduction, and radiation, is capable of reproducing a wide variety of measurements, ranging from (polarized) brightness and emission images to in situ time series of magnetic and plasma parameters. Moreover, we can construct quantities that are either not directly observable, or can only be inferred locally, such as the Alfven speed, the location of the heliospheric current sheet, and the three-dimensional topology of the magnetic field. We believe that the combination of sophisticated modeling results and the exciting new measurements from the STEREO mission will allow us to address fundamental questions concerning the origin and evolution of CMEs, ultimately allowing us to develop predictive capabilities related to their potential to generate space weather effects.

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