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| Titel |
A data-driven coupled modeling approach to predicting the magnetic structure of interplanetary coronal mass ejections |
| VerfasserIn |
Jens Pomoell, Emilia Kilpua, Alexey Isavnin, Erika Palmerio, Erkka Lumme |
| Konferenz |
EGU General Assembly 2016
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 18 (2016) |
| Datensatznummer |
250122272
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| Publikation (Nr.) |
 EGU/EGU2016-1261.pdf |
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| Zusammenfassung |
| Unraveling the formation and evolution of coronal mass ejections from the Sun to the Earth remains one of the outstanding goals in current solar-terrestrial physics and space weather research. In this work, we present our data-driven modeling principle designed to tackle specifically the question of predicting the magnetic structure of interplanetary coronal mass ejections.
Our modeling paradigm consists of three components:
a) a data-driven non-potential model of the coronal magnetic field up to 2.5 RSun fed by a time-sequence of vector magnetograms
b) a versatile flux rope magnetic field model
c) a three-dimensional MHD model that computes self-consistently the dynamics in the inner heliosphere from 0.1 AU up to the orbit of Mars (Euhforia).
The key feature of our approach is to employ a flux rope model in Euhforia whose parameters are determined solely through data-driven modeling. While the time-dependent kinematics and morphology of the flux rope are fitted using EUV and coronagraph observations, the magnetic parameters are directly obtained from the data-driven coronal model. In addition to presenting the modeling scheme, we showcase results of the modeling using well-observed case studies and comparisons with in-situ observations. Finally, we discuss future horizons for our model. |
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