A DATA-DRIVEN MODEL FOR THE GLOBAL CORONAL EVOLUTION
A DATA-DRIVEN MODEL FOR THE GLOBAL CORONAL EVOLUTION
复制标题
全球日冕演化的数据驱动模型
DOI：
10.1088/0004-637x/758/1/62
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发表时间：
2012-10-10
影响因子：
4.9
通讯作者：
Wu, S. T.
中科院分区：
文献类型：
--
作者：
Feng, Xueshang;Jiang, Chaowei;Wu, S. T.
This work is devoted to the construction of a data-driven model for the study of the dynamic evolution of the global corona that can respond continuously to the changing of the photospheric magnetic field. The data-driven model consists of a surface flux transport (SFT) model and a global three-dimensional (3D) magnetohydrodynamic (MHD) coronal model. The SFT model is employed to produce the global time-varying and self-consistent synchronic snapshots of the photospheric magnetic field as the input to drive our 3D numerical global coronal AMR-CESE-MHD model on an overset grid of Yin-Yang overlapping structure. The SFT model and the 3D global coronal model are coupled through the boundary condition of the projected characteristic method. Numerical results of the coronal evolution from 1996 September 4 to October 29 provide a good comparison with multiply observed coronal images.
