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arXiv 1702.06808astro-ph.SR
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数据驱动的活动区演化MHD模拟的准确性检验

Testing the Accuracy of Data Driven MHD Simulations of Active Region Evolution

James E. Leake, Mark G. Linton, Peter W. Schuck

摘要:

日冕磁场演化的模型对于理解太阳活动是至关重要的,然而磁场的最佳测量位于光球层,因此有必要开发光球层的\textit{"data-driven"}日冕模型。我们提出了一项调查,以确定这种方法的可行性和准确性。我们的验证框架使用模拟活动区(AR)的形成,建模出现的磁通量从对流区的日冕,作为地面实况数据集,既提供光球信息,并执行数据驱动的方法的验证。我们的研究重点是数据驱动模型的准确性如何依赖于驱动数据的时间频率。美国宇航局太阳{ \jl动力学}天文台上的日震和磁成像仪以12分钟的节奏产生全磁盘矢量磁场测量。使用我们的框架,我们表明,AR出现超过25小时,可以通过数据驱动方法建模,只有$\sim$ 1\%的误差在自由磁能,假设光球信息是每12分钟指定。然而,对于快速发展的功能,在这种节奏下的动态采样不足会导致频闪效应,产生大的电流和不正确的日冕形态和能量。我们推导出一个采样条件的驱动节奏的基础上,这些小规模的功能的演变,并表明,更高的节奏驱动可以导致可接受的错误。未来的工作将调查与从光球磁图中推导等离子体变量相关的误差来源以及其他误差来源,如分辨率降低、仪器偏差和噪声。

英文摘要:

Models for the evolution of the solar coronal magnetic field are vital for understanding solar activity, yet the best measurements of magnetic field lie at the photosphere, necessitating the development of coronal models which are \textit{"data-driven"} at the photosphere. We present an investigation to determine the feasibility and accuracy of such methods. Our validation framework uses a simulation of active region (AR) formation, modeling the emergence of magnetic flux from the convection zone to the corona, as a ground-truth dataset, to supply both the photospheric information, and to perform the validation of the data-driven method. We focus our investigation on how the data-driven model accuracy depends on the temporal frequency of the driving data. The Helioseismic and Magnetic Imager on NASA's Solar {\jl Dynamics} Observatory produces full-disk vector magnetic field measurements at a 12 minute cadence. Using our framework we show that ARs that emerge over 25 hours can be modeled by the data-driving method with only $\sim$1\% error in the free magnetic energy, assuming the photospheric information is specified every 12 minutes. However, for rapidly evolving features, under-sampling of the dynamics at this cadence leads to a strobe effect, generating large electric currents and incorrect coronal morphology and energies. We derive a sampling condition for the driving cadence based on the evolution of these small-scale features, and show that higher-cadence driving can lead to acceptable errors. Future work will investigate the source of errors associated with deriving plasma variables from the photospheric magnetograms as well as other sources of errors such as reduced resolution and instrument bias and noise.

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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