论文标题

使用有效的加速模型评估冠状质量射出速度的投影校正,并在排序时间预测性能上进行校正

Assessing the projection correction of Coronal Mass Ejection speeds on Time-of-Arrival prediction performance using the Effective Acceleration Model

论文作者

Paouris, Evangelos, Vourlidas, Angelos, Papaioannou, Athanasios, Anastasiadis, Anastasios

论文摘要

冠状质量弹出(CMES)的白光图像是天空飞机(POS)上的投影。结果,CME运动学会受到投影效应的影响。 CME的真实速度的误差是太空天气预测不确定性的主要原因之一,因为在Heliosphere内部某个位置的CME到达时间(TOA)的所有估计都需要输入,例如输入,CME速度。我们在1996 - 2017年间使用了1037 flare-cme事件的单个观点观测值,并提出了一种新的方法,以校正CME速度,假设来自耀斑位点的径向传播。我们的方法具有独特的能力,能够在整个源纵隔范围内产生物理合理的deprojection速度。我们基于多视点观测值,通过限制CME的真实角宽度的限制,我们将不确定性限制了不确定性。我们的校正范围为CME的源自磁盘中心的CME。平均而言,去底速度比其POS速度高12.8%。对于慢速CME(VPO <400 km/s),完整的冰淇淋锥模型表现更好,而对于快速且非常快速的CME(VPOS> 700 km/s),浅冰淇淋模型可提供更好的结果。 691-878 km/s POS速度的CME的最小TOA平均绝对误差(MAE)为11.6小时。该方法是强大的,易于使用的,并且对太空天气预测应用程序具有立即适用性。此外,关于CMES的速度,我们的工作表明单个观点观察通常是可靠的。

White light images of Coronal Mass Ejections (CMEs) are projections on the plane-of-sky (POS). As a result, CME kinematics are subject to projection effects. The error in the true (deprojected) speed of CMEs is one of the main causes of uncertainty to Space Weather forecasts, since all estimates of the CME Time-of-Arrival (ToA) at a certain location within the heliosphere require, as input, the CME speed. We use single viewpoint observations for 1037 flare-CME events between 1996-2017 and propose a new approach for the correction of the CME speed assuming radial propagation from the flare site. Our method is uniquely capable to produce physically reasonable deprojected speeds across the full range of source longitudes. We bound the uncertainty in the deprojected speed estimates via limits in the true angular width of a CME based on multiview-point observations. Our corrections range up to 1.37-2.86 for CMEs originating from the center of the disk. On average, the deprojected speeds are 12.8% greater than their POS speeds. For slow CMEs (VPOS < 400 km/s) the full ice-cream cone model performs better while for fast and very fast CMEs (VPOS > 700 km/s) the shallow ice-cream model gives much better results. CMEs with 691-878 km/s POS speeds have a minimum ToA mean absolute error (MAE) of 11.6 hours. This method, is robust, easy to use, and has immediate applicability to Space Weather forecasting applications. Moreover, regarding the speed of CMEs, our work suggests that single viewpoint observations are generally reliable.

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