Comparison of a Global Magnetic Evolution Model with Observations of Coronal Mass Ejections
arXiv:0912.3347 · doi:10.1088/0004-637X/709/2/1238
Abstract
The relative importance of different initiation mechanisms for coronal mass ejections (CMEs) on the Sun is uncertain. One possible mechanism is the loss of equilibrium of coronal magnetic flux ropes formed gradually by large-scale surface motions. In this paper, the locations of flux rope ejections in a recently-developed quasi-static global evolution model are compared with observed CME source locations over a 4.5-month period in 1999. Using EUV data, the low-coronal source locations are determined unambiguously for 98 out of 330 CMEs. Despite the incomplete observations, positive correlation (with coefficient up to 0.49) is found between the distributions of observed and simulated ejections, but only when binned into periods of one month or longer. This binning timescale corresponds to the time interval at which magnetogram data are assimilated into the coronal simulations, and the correlation arises primarily from the large-scale surface magnetic field distribution; only a weak dependence is found on the magnetic helicity imparted to the emerging active regions. The simulations are limited in two main ways: they produce fewer ejections, and they do not reproduce the strong clustering of observed CME sources into active regions. Due to this clustering, the horizontal gradient of radial photospheric magnetic field is better correlated with the observed CME source distribution (coefficient 0.67). Our results suggest that, while the gradual formation of magnetic flux ropes over weeks can account for many observed CMEs, especially at higher latitudes, there exists a second class of CMEs (at least half) for which dynamic active region flux emergence on shorter timescales must be the dominant factor.
27 pages, 7 figures, accepted for publication in ApJ
References in corpus (9)
- Non-linear force-free field modeling of a solar active region around the time of a major flare and coronal mass ejection
- Driving major solar flares and eruptions: a review
- No Trace Left Behind: Stereo Observation of a Coronal Mass Ejection without Low Coronal Signatures
- Three-Dimensional MHD Simulation of the 2003 October 28 Coronal Mass Ejection: Comparison with LASCO Coronagraph Observations
- Numerical Simulation of an EUV Coronal Wave Based on the February 13, 2009 CME Event Observed by STEREO
- Modelling the Global Solar Corona: Filament Chirality Observations and Surface Simulations
- Initiation of Coronal Mass Ejections in a Global Evolution Model
- Modelling the Global Solar Corona III: Origin of the Hemispheric Pattern of Filaments
- Evolution and Distribution of Current Helicity in Full-Sun Simulations
Cited by in corpus (14)
- The Sun's Global Photospheric and Coronal Magnetic Fields: Observations and Models
- Can the Solar Wind be Driven by Magnetic Reconnection in the Sun's Magnetic Carpet?
- Coronal mass ejection initiation: On the nature of the Flux Cancellation Model
- Coronal Magnetic Field Evolution from 1996 to 2012: Continuous Non-Potential Simulations
- A Non-potential Model for the Sun's Open Magnetic Flux
- Simulating AIA observations of a flux rope ejection
- Magnetic Flux Rope Identification and Characterization from Observationally-Driven Solar Coronal Models
- A magnetic cloud prediction model for forecasting space weather relevant properties of Earth-directed coronal mass ejections
- Deconstructing the Properties of Solar Super Active Region 13664 in the Context of the Historic Geomagnetic Storm of 2024 May 10-11
- A Prospective New Diagnostic Technique for Distinguishing Eruptive and Non-Eruptive Active Regions
- Solar Cycle Variation of Magnetic Flux Ropes in a Quasi-Static Coronal Evolution Model
- A Time-Efficient, Data Driven Modelling Approach For Predicting The Geomagnetic Impact of Coronal Mass Ejections
- A Comparative Analysis of Machine-learning Models for Solar Flare Forecasting: Identifying High-performing Active Region Flare Indicators
- Least-Squares Fitting Methods for Estimating the Winding Rate in Twisted Magnetic-Flux Tubes