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
文献类型：期刊论文
| 作者 | Hayashi,Keiji1,3,4; Feng,Xueshang1,2; Xiong,Ming1,2; Jiang,Chaowei2 |
| 刊名 | The Astrophysical Journal Letters
 |
| 出版日期 | 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 |
| WOS记录号 | IOP:2041-8205-871-2-AAFFCF |
| 出版者 | The American Astronomical Society |
| 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). |
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来源：国家天文台
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