利用 sunRunner3D 通过现场测量解释日光层的全球结构

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-04-15 DOI:10.1051/swsc/2024014
José Juan González, P. Riley, M. Ben-Nun, Prateek Mayank, Bhargav Vaidya
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引用次数: 1

摘要

了解内日光层的大尺度三维结构本身固然重要,但对于预报日冕物质抛射(CME)的到达时间和传播等空间天气应用也至关重要。本研究使用三维磁流体动力学(MHD)模型 sunRunner3D(3D)来模拟太阳风(SW)流并生成背景状态。SR3D 采用 CORona-HELiosphere (CORHEL) 和 PLUTO 代码生成的边界条件,以 MHD 近似方法计算了内日光层 1.1 AU 范围内的太阳风等离子体特性。我们证明,SR3D 再现了由地基航天器(OMNI)和太阳静止轨道观测站(STEREO)-A 观测到的 Corotating Interaction Regions(CIRs)的全局特征,这些观测数据覆盖了太阳周期 24 的晚期衰减阶段。此外,我们还证明了模型解在参照系和惯性系中都是有效的。此外,SR3D 模拟与现场测量结果的比较显示,我们的结果与观测结果基本吻合,并且与 Predictive Science 公司的球外磁流体动力学算法(MAS)代码所取得的结果相当。我们还与基于 PLUTO 物理模型的太阳风空间天气自适应模拟框架(SWASTi-SW)进行了对比分析,以评估各种初始边界条件的精度。最后,我们讨论了从惯性框架和旋转框架得出的解决方案之间的差异。
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Using sunRunner3D to interpret the global structure of the heliosphere from in-situ measurements
Understanding the large-scale three-dimensional structure of the inner heliosphere, while important in its own right, is crucial for space weather applications, such as forecasting the time of arrival and propagation of coronal mass ejections (CMEs). This study uses sunRunner3D (3D), a 3-D magnetohydrodynamic (MHD) model, to simulate solar wind (SW) streams and generate background states. SR3D employs the boundary conditions generated by CORona-HELiosphere (CORHEL) and the PLUTO code to compute the plasma properties of the SW with the MHD approximation up to 1.1 AU in the inner heliosphere. We demonstrate that SR3D reproduces global features of Corotating Interaction Regions (CIRs) observed by Earth-based spacecraft (OMNI) and the Solar TErrestial RElations Observatory (STEREO)-A for a set of Carrington rotations (CRs) that cover a period that lays in the late declining phase of solar cycle 24. Additionally, we demonstrate that the model solutions are valid in the corotating and inertial frames of references.  Moreover, a comparison between SR3D simulations and in-situ measurements shows reasonable agreement with the observations, and our results are comparable to those achieved by Predictive Science Inc.'s Magnetohydrodynamic Algorithm outside a Sphere (MAS) code. We have also undertaken a comparative analysis with the Space Weather Adaptive Simulation Framework for Solar Wind (SWASTi-SW), a PLUTO physics-based model, to evaluate the precision of various initial boundary conditions. Finally, we discuss the disparities in the solutions derived from inertial and rotating frames.
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4.30%
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