2020
DOI: 10.3847/1538-4357/ab75ab
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Data-driven MHD Simulation of the Formation and Initiation of a Large-scale Preflare Magnetic Flux Rope in AR 12371

Abstract: Solar eruptions are the most powerful drivers of space weather. To understand their cause and nature, it is crucial to know how the coronal magnetic field evolves before eruption. Here we study the formation process of a relatively large-scale magnetic flux rope (MFR) in active region NOAA 12371 that erupts with a major flare and coronal mass ejection on 2015 June 21. A data-driven numerical magnetohydrodynamic model is employed to simulate three-dimensional coronal magnetic field evolution of one-day duration… Show more

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Cited by 18 publications
(18 citation statements)
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“…According to the authors’ experience, to simulate the evolution of a typical size AR (say, 300 Mm in all three directions) for a typical timescale of a few days with a grid resolution that matches the HMI data (720 km), an MHD model with isothermal simplification needs months of computing time even when parallelized with a medium number of CPUs (for example, 100 processors with a frequency of 3 GHz). To reduce the computing time, some modelers 44 , 151 , 152 chose to speed up the cadence of feeding the observed data into the model by tens of times. This is reasonable by taking advantage of the fact that the photospheric evolution speed (with a typical velocity of 0.1–1 km s −1 ) is slower than the coronal evolution speed (of a few Mm s −1 ) by about three orders of magnitude.…”
Section: Discussionmentioning
confidence: 99%
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“…According to the authors’ experience, to simulate the evolution of a typical size AR (say, 300 Mm in all three directions) for a typical timescale of a few days with a grid resolution that matches the HMI data (720 km), an MHD model with isothermal simplification needs months of computing time even when parallelized with a medium number of CPUs (for example, 100 processors with a frequency of 3 GHz). To reduce the computing time, some modelers 44 , 151 , 152 chose to speed up the cadence of feeding the observed data into the model by tens of times. This is reasonable by taking advantage of the fact that the photospheric evolution speed (with a typical velocity of 0.1–1 km s −1 ) is slower than the coronal evolution speed (of a few Mm s −1 ) by about three orders of magnitude.…”
Section: Discussionmentioning
confidence: 99%
“…Jiang et al. 44 developed such an MHD model (the so-called driven ARE (DARE)-MHD model 44 , 151 , 152 ) and successfully simulated a flux emergence event of over 3 days that finally leads to an eruption (of an M-class flare with a CME) in the topology-complex AR NOAA 11283. The simulation is started with a potential field extrapolation from the vertical component of the magnetogram taken for the initial time; thus, one can see how the pre-flare magnetic free energy is accumulated continually from the very beginning, driven by the flux injection with a strong shearing motion.…”
Section: Data-driven Simulation Of Quasi-static Evolution To Eruptionmentioning
confidence: 99%
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“…Figure 10a shows the time evolution of the height of each MFR. Here, we assume that the axis of an MFR is located at the twist-weighted centroid of a strong twist kernel (twist number > 1; see Figure 7) on the twist map, and we regard the height of the twist-weighted centroid as the height of each MFR (e.g., Jiang et al 2014;He et al 2020). The height presents an increasing trend before each of the last three eruptions (see the red dots in Figure 10a).…”
Section: Buildup Of the Mfrsmentioning
confidence: 99%
“…Based on the observing wavelengths, a variety of observational manifestations have been proposed to be related to flux ropes, such as filaments/prominences (Mackay et al 2010;Ouyang et al 2017), cavities (Régnier et al 2011;Gibson 2015), hot channels (Zhang et al 2012;Cheng et al 2013), and sigmoids (Green et al 2007;McKenzie & Canfield 2008). Moreover, quite a few magnetohydrodynamic (MHD) simulations based on different codes (e.g., Kliem et al 2013;Inoue et al 2014;Xia et al 2014;Fan & Liu 2019;Guo et al 2019;He et al 2020), which try to explain the roles of flux ropes in solar eruptions and their manifestations in observations, have been performed. For example, the simulations by Amari et al (2000Amari et al ( , 2003 ascribed the initiation of two-ribbon flares and CMEs to twisted flux ropes, which are formed through flux emergence or convergence after photospheric shearing motions.…”
Section: Introductionmentioning
confidence: 99%