Magnetohydrodynamic Simulations for Solar Active Regions using Time-series Data of Surface Plasma Flow and Electric Field Inferred from Helioseismic Magnetic Imager Vector Magnetic Field Measurements

doi:10.3847/2041-8213/aaffcf

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	Magnetohydrodynamic Simulations for Solar Active Regions using Time-series Data of Surface Plasma Flow and Electric Field Inferred from Helioseismic Magnetic Imager Vector Magnetic Field Measurements
	Hayashi,Keiji 1,3,4; Feng,Xueshang 1,2; Xiong,Ming 1,2; Jiang,Chaowei 2
刊名	The Astrophysical Journal Letters
	2019-01-29
卷号	871 期号:2
关键词	Sun: activity Sun: magnetic fields sunspots
ISSN号	2041-8205
DOI	10.3847/2041-8213/aaffcf
英文摘要	Abstract Temporal evolution of magnetic structures of the solar active region (AR) NOAA AR 11158, is simulated with our magnetohydrodynamic (MHD) simulation models using time-dependent solar-surface electric field or plasma flow data. Using the Solar Dynamics Observatory/Helioseismic Magnetic Imager vector magnetogram data, the solar-surface boundary electric field maps are derived with our recently developed algorithm to reproduce the temporal evolution of solar-surface vector magnetic field as observed. The plasma motion velocity maps are calculated through the Differential Affine Velocity Estimator for Vector Magnetograms. In both data-driven models, the simulated evolutionary magnetic field structures at strong-field low-beta regions appear near force-free state, as the current helicity density ( ) are roughly constant along each field line. Although the magnetic energy simulated with the newly developed plasma-velocity-driven model is about 10% of that by the electric-field driven model, the plasma-velocity-driven model can maintain the frozen-in condition, and evolution of current and free energy generated by the solar-surface plasma motions can be spatially and temporally traced. The present MHD simulation models for AR system can be a step toward better, more realistic data-driven evolutionary modeling, in particular, establishing boundary treatments for introducing the time-dependent observation data in a physically and mathematically consistent manner.
语种	英语
出版者	The American Astronomical Society
WOS记录号	IOP:2041-8205-871-2-AAFFCF
内容类型	期刊论文
源URL	[http://ir.bao.ac.cn/handle/114a11/24721]
专题	中国科学院国家天文台
作者单位	1.SIGMA Weather Group, State Key Laboratory for Space Weather, National Space Science Center, Chinese Academy of Sciences, Beijing 100190, People’s Republic of China; fengx@spaceweather.ac.cn 2.Institute of Space Science and Applied Technology, Harbin Institute of Technology, Shenzhen, 518055, People’s Republic of China; chaowei@hit.edu.cn 3.Key Laboratory of Solar Activity, National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, People’s Republic of China; keiji@nao.cas.cn, mxiong@swl.ac.cn 4.Institute of Space-Earth Environmental Research, Nagoya University, Nagoya, Aichi, 464-8601, Japan
推荐引用方式 GB/T 7714	Hayashi,Keiji,Feng,Xueshang,Xiong,Ming,et al. Magnetohydrodynamic Simulations for Solar Active Regions using Time-series Data of Surface Plasma Flow and Electric Field Inferred from Helioseismic Magnetic Imager Vector Magnetic Field Measurements[J]. The Astrophysical Journal Letters,2019,871(2).
APA	Hayashi,Keiji,Feng,Xueshang,Xiong,Ming,&Jiang,Chaowei.(2019).Magnetohydrodynamic Simulations for Solar Active Regions using Time-series Data of Surface Plasma Flow and Electric Field Inferred from Helioseismic Magnetic Imager Vector Magnetic Field Measurements.The Astrophysical Journal Letters,871(2).
MLA	Hayashi,Keiji,et al."Magnetohydrodynamic Simulations for Solar Active Regions using Time-series Data of Surface Plasma Flow and Electric Field Inferred from Helioseismic Magnetic Imager Vector Magnetic Field Measurements".The Astrophysical Journal Letters 871.2(2019).