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arXiv 2104.07229astro-ph.SR
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光球流驱动下日冕磁场演化的MHD模拟

MHD Modeling of Solar Coronal Magnetic Evolution Driven by Photospheric Flow

Chaowei Jiang, Xinkai Bian, Tingting Sun, Xueshang Feng

摘要:

众所周知,磁场在日冕动态中占主导地位,目前正在开发新一代日冕磁场演变的数值模型,其特点是边界条件直接由观测数据驱动。本文提出了一种新的数据驱动磁流体动力学(MHD)模拟太阳活动区(AR)磁场演化的方法,这是第一次直接利用DAVE 4VM中光球速度场的数据驱动全MHD模型。我们构建了一个完善的MHD平衡的基础上,一个单一的矢量磁图,采用MHD松弛方法与足够小的动力粘度,并使用此MHD平衡作为初始条件,随后的数据驱动的演变。利用DAVE 4VM方法,从观测到的时间序列磁图中得到了光球表面流场。最后将表面流按时间顺序输入到MHD模型的底边界,通过直接求解底边界处的磁感应方程,自洽地更新每个时间步长的磁场。我们应用此数据驱动模型研究AR 12158的磁场演化与SDO/HMI矢量磁图。我们的模型再现了场线的准静态应力,主要是通过AR的领先太阳黑子的旋转流,这使得核心场线形成一致的S形,与SDO/AIA图像中看到的S形结构一致。在模拟中获得的总磁能与直接从原始矢量磁图与DAVE 4VM导出的流场计算的累积磁能密切匹配。这样一个数据驱动的模型将被用来研究日冕场如何在缓慢的光球运动的驱动下达到不稳定状态并进入爆发。

英文摘要:

It is well known that magnetic fields dominate the dynamics in the solar corona, and new generation of numerical modelling of the evolution of coronal magnetic fields, as featured with boundary conditions driven directly by observation data, are being developed. This paper describes a new approach of data-driven magnetohydrodynamic (MHD) simulation of solar active region (AR) magnetic field evolution, which is for the first time that a data-driven full-MHD model utilizes directly the photospheric velocity field from DAVE4VM. We constructed a well-established MHD equilibrium based on a single vector magnetogram by employing an MHD-relaxation approach with sufficiently small kinetic viscosity, and used this MHD equilibrium as the initial conditions for subsequent data-driven evolution. Then we derived the photospheric surface flows from a time series of observed magentograms based on the DAVE4VM method. The surface flows are finally inputted in time sequence to the bottom boundary of the MHD model to self-consistently update the magnetic field at every time step by solving directly the magnetic induction equation at the bottom boundary. We applied this data-driven model to study the magnetic field evolution of AR 12158 with SDO/HMI vector magnetograms. Our model reproduced a quasi-static stress of the field lines through mainly the rotational flow of the AR's leading sunspot, which makes the core field lines to form a coherent S shape consistent with the sigmoid structure as seen in the SDO/AIA images. The total magnetic energy obtained in the simulation matches closely the accumulated magnetic energy as calculated directly from the original vector magnetogram with the DAVE4VM derived flow field. Such a data-driven model will be used to study how the coronal field, as driven by the slow photospheric motions, reaches a unstable state and runs into eruptions.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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