期刊
ASTROPHYSICAL JOURNAL
卷 834, 期 2, 页码 -出版社
IOP PUBLISHING LTD
DOI: 10.3847/1538-4357/834/2/173
关键词
interplanetary medium; magnetohydrodynamics (MHD); methods: numerical; solar wind; Sun: corona; Sun: coronal mass ejections (CMEs)
资金
- NASA/UCAR Jack Eddy Postdoctoral Fellowship
- NASA's SDO/AIA [NNG04EA00C]
- National Science Foundation [AGS-1322543, AGS1408789, PHY-1513379]
- NASA [NNX13AG25G]
- European Union's Horizon research and innovation program [637302 PROGRESS]
- National Science Foundation
- Directorate For Geosciences [1408789, 1322543] Funding Source: National Science Foundation
- Directorate For Geosciences
- Div Atmospheric & Geospace Sciences [1257519] Funding Source: National Science Foundation
- Div Atmospheric & Geospace Sciences [1322543, 1408789] Funding Source: National Science Foundation
- NASA [474641, NNX13AG25G] Funding Source: Federal RePORTER
We present a first-principles-based coronal mass ejection (CME) model suitable for both scientific and operational purposes by combining a global magnetohydrodynamics (MHD) solar wind model with a flux-rope-driven CME model. Realistic CME events are simulated self-consistently with high fidelity and forecasting capability by constraining initial flux rope parameters with observational data from GONG, SOHO/LASCO, and STEREO/COR. We automate this process so that minimum manual intervention is required in specifying the CME initial state. With the newly developed data-driven Eruptive Event Generator using Gibson-Low configuration, we present a method to derive Gibson-Low flux rope parameters through a handful of observational quantities so that the modeled CMEs can propagate with the desired CME speeds near the Sun. A test result with CMEs launched with different Carrington rotation magnetograms is shown. Our study shows a promising result for using the first-principles- based MHD global model as a forecasting tool, which is capable of predicting the CME direction of propagation, arrival time, and ICME magnetic field at 1 au (see the companion paper by Jin et al. 2016a).
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