论文标题

使用从无线电位点ISEE和LOFAR观察到的星际闪烁数据对冠状质量驱逐的磁性水力学模拟

Magnetohydrodynamic simulation of coronal mass ejections using interplanetary scintillation data observed from radio sites ISEE and LOFAR

论文作者

Iwai, Kazumasa, Fallows, Richard A., Bisi, Mario M., Shiota, Daikou, Jackson, Bernard V., Tokumaru, Munetoshi, Fujiki, Ken'ichi

论文摘要

星际闪烁(IPS)是在整个行星际空间中检测冠状质量弹出(CME)的有用工具。可以使用IPS数据改善Heliospher的全球磁流失动力学(MHD)模拟,这些模拟通常用于预测CME的到达和地理效应。在这项研究中,我们展示了一个MHD模拟,其中包括来自多个站点的IPS数据以改善CME建模。 CMES于2017年9月9日至10日发生,在2017年9月10日至12日的时间内使用了Nagoya大学空间 - 地球环境研究所(ISEE)的低频阵列(LOFAR)和IPS阵列,当时它们通过内层进行了跟踪。我们使用全局MHD仿真SUSANOO-CME模拟CME传播,其中将CME建模为Spheromaks,并根据模拟结果合成IPS数据。 MHD模拟表明,CME在星际空间中合并,在天空图中形成复杂的IPS G级分布。我们发现,最适合Lofar和ISEE数据的MHD仿真可以更好地重建CME,并且比仅在ISEE站点拟合这些模拟的情况下,比从测量结果中更好地预测了其到达地球。在本研究中,从不同本地的多个站点观察到的更多IPS数据可以帮助重建CME的全局结构,从而改善和评估CME建模。

Interplanetary scintillation (IPS) is a useful tool for detecting coronal mass ejections (CMEs) throughout interplanetary space. Global magnetohydrodynamic (MHD) simulations of the heliosphere, which are usually used to predict the arrival and geo-effectiveness of CMEs, can be improved using IPS data. In this study, we demonstrate an MHD simulation that includes IPS data from multiple stations to improve CME modelling. The CMEs, which occurred on 09-10 September 2017, were observed over the period 10-12 September 2017 using the Low-Frequency Array (LOFAR) and IPS array of the Institute for Space-Earth Environmental Research (ISEE), Nagoya University, as they tracked through the inner heliosphere. We simulated CME propagation using a global MHD simulation, SUSANOO-CME, in which CMEs were modeled as spheromaks, and the IPS data were synthesised from the simulation results. The MHD simulation suggests that the CMEs merged in interplanetary space, forming complicated IPS g-level distributions in the sky map. We found that the MHD simulation that best fits both LOFAR and ISEE data provided a better reconstruction of the CMEs and a better forecast of their arrival at Earth than from measurements when these simulations were fit from the ISEE site alone. More IPS data observed from multiple stations at different local times in this study can help reconstruct the global structure of the CME, thus improving and evaluating the CME modelling.

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