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Three-dimensional MHD Simulation of the 2003 October 28 Coronal Mass Ejection: Comparison with LASCO Coronagraph Observations

机译:2003年10月28日冠状物质抛射的三维MHD模拟:与LASCO冠状图观察的比较

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We numerically model the coronal mass ejection (CME) event of 2003 October 28 that erupted from AR 10486 and propagated to Earth in less than 20 hr, causing severe geomagnetic storms. The magnetohydrodynamic (MHD) model is formulated by first arriving at a steady state corona and solar wind employing synoptic magnetograms. We initiate two CMEs from the same active region, one approximately a day earlier that preconditions the solar wind for the much faster CME on the 28th. This second CME travels through the corona at a rate of over 2500 km s?1, driving a strong forward shock. We clearly identify this shock in an image produced by the Large Angle Spectrometric Coronagraph (LASCO) C3 and reproduce the shock and its appearance in synthetic white-light images from the simulation. We find excellent agreement with both the general morphology and the quantitative brightness of the model CME with LASCO observations. These results demonstrate that the CME shape is largely determined by its interaction with the ambient solar wind and may not be sensitive to the initiation process. We then show how the CME would appear as observed by wide-angle coronagraphs on board the Solar Terrestrial Relations Observatory (STEREO) spacecraft. We find complex time evolution of the white-light images as a result of the way in which the density structures pass through the Thomson sphere. The simulation is performed with the Space Weather Modeling Framework (SWMF).
机译:我们用数值模型模拟了2003年10月28日从AR 10486爆发并在不到20小时的时间内传播到地球的冠状物质抛射(CME)事件,从而引发了严重的地磁风暴。磁流体动力学(MHD)模型是通过首先使用天气磁图得出稳态电晕和太阳风来建立的。我们从同一活跃区域启动两个CME,大约一天前一天,它为28日更快的CME进行了太阳风的前提条件。第二个CME以超过2500 km s?1的速度通过电晕,产生强烈的前向冲击。我们在大角度光谱电晕仪(LASCO)C3产生的图像中清楚地识别了这种冲击,并通过模拟从合成的白光图像中再现了这种冲击及其外观。我们发现,通过LASCO观测,CME模型的一般形态和定量亮度都具有极好的一致性。这些结果表明,CME形状很大程度上取决于其与周围太阳风的相互作用,并且可能对引发过程不敏感。然后,我们展示了如何通过太阳地球关系天文台(STEREO)航天器上的广角日冕仪观察到的CME。由于密度结构通过汤姆森球体的方式,我们发现白光图像的复杂时间演化。使用太空天气建模框架(SWMF)进行仿真。

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