EUHFORIA 中的环形修正米勒-特纳 CME 模型:II.验证以及与通量绳和球面仪的比较

Anwesha Maharana, Luis Linan, Stefaan Poedts, Jasmina Magdalenic
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引用次数: 0

摘要

人们日益关注与空间天气有关的干扰的影响,这就要求对日冕物质抛射(CME)的影响进行建模和可靠的预报。在这项研究中,我们展示了在欧洲日光层预报信息资产(EUHFORIA)中实施的修正米勒-特纳(mMT)模型的应用,以预报日光层中观测到的日冕物质抛射(CME)事件的地球效应。我们的目标是开发一个模型,该模型不仅具有全局几何形状,可改善整体预报,而且速度足够快,可用于业务空间天气预报。我们测试了最初的全环形实施方案,并引入了一个新的四分之三环形版本,称为马蹄形 CME 模型。这个新模型具有更逼真的 CME 几何形状,并克服了全环状几何形状的不准确性。我们利用在爆发前、爆发过程中和爆发后观测到的 CME 特征来约束环几何和磁场参数。利用先进的动态时间扭曲技术对模型预测最重要的Bz成分的能力进行了评估。马蹄铁模型对两次验证事件的集合放射粒子到达时间和地球效应的预测与观测结果进行了很好的比较,并与EUHFORIA中已有的sphereomak和FRi3D模型的结果进行了权衡。马蹄铁模型模拟的运行时间与球面模型的运行时间相近,可用于业务空间天气预报。然而,马蹄铁模型在 1~AU 的磁场预测能力接近 FRi3D 模型。此外,我们还证明了马蹄形 CME 模型可用于模拟 EUHFORIA 中的连续 CME,克服了 FRi3D 模型的局限性。
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Toroidal modified Miller-Turner CME model in EUHFORIA: II. Validation and comparison with flux rope and spheromak
Rising concerns about the impact of space weather-related disruptions demand modelling and reliable forecasting of coronal mass ejection (CME) impacts. In this study, we demonstrate the application of the modified Miller-Turner (mMT) model implemented in EUropean Heliospheric FORecasting Information Asset (EUHFORIA), to forecast the geo-effectiveness of observed coronal mass ejection (CME) events in the heliosphere. The goal is to develop a model that not only has a global geometry to improve overall forecasting but is also fast enough for operational space weather forecasting. We test the original full torus implementation and introduce a new three-fourth Torus version called the Horseshoe CME model. This new model has a more realistic CME geometry, and it overcomes the inaccuracies of the full torus geometry. We constrain the torus geometrical and magnetic field parameters using observed signatures of the CMEs before, during, and after the eruption. The assessment of the model's capability to predict the most important Bz component is performed using the advanced Dynamic Time Warping technique. The Horseshoe model prediction of CME arrival time and geo-effectiveness for both validation events compare well to the observations and are weighed with the results obtained with the spheromak and FRi3D models that were already available in EUHFORIA. The runtime of the Horseshoe model simulations is close to that of the spheromak model, which is suitable for operational space weather forecasting. Yet, the capability of the magnetic field prediction at 1~AU of the Horseshoe model is close to that of the FRi3D model. In addition, we demonstrate that the Horseshoe CME model can be used for simulating successive CMEs in EUHFORIA, overcoming a limitation of the FRi3D model.
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