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The Wang-Sheeley-Arge (WSA)-ENLIL+Cone model is used extensively in space weather operations world-wide to model CME propagation. As such, it is important to assess its performance. We present validation results of the WSA-ENLIL+Cone model…

空间物理 · 物理学 2018-01-25 A. M. Wold , M. L. Mays , A. Taktakishvili , L. K. Jian , D. Odstrcil , P. MacNeice

Coronal Mass Ejections (CMEs) are the major drivers of Space Weather (SWx), so predicting their arrival at Earth is a major aspect of SWx forecasting. Despite increasingly complex models proposed over the past decades, the mean absolute…

空间物理 · 物理学 2025-08-18 Syed Raza , Talwinder Singh , Nikolai Pogorelov

Ensemble modeling of CMEs provides a probabilistic forecast of CME arrival time which includes an estimation of arrival time uncertainty from the spread and distribution of predictions and forecast confidence in the likelihood of CME…

On 7 January 2014 an X1.2 flare and CME with a radial speed $\approx$2500 km s$^{-1}$ was observed from near an active region close to disk center. This led many forecasters to estimate a rapid arrival at Earth ($\approx$36 hours) and…

Accurate forecasting of the properties of coronal mass ejections as they approach Earth is now recognized as an important strategic objective for both NOAA and NASA. The time of arrival of such events is a key parameter, one that had been…

We present an automated pipeline for operational short-term forecasting of coronal mass ejection (CME) magnetic field structure at L1, coupling arrival time prediction, in situ detection, and iterative flux rope reconstruction, following…

Accurate forecasting of the arrival time and subsequent geomagnetic impacts of Coronal Mass Ejections (CMEs) at Earth is an important objective for space weather forecasting agencies. Recently, the CME Arrival and Impact working team has…

太阳与恒星天体物理 · 物理学 2019-03-27 C. Verbeke , M. L. Mays , M. Temmer , S. Bingham , R. Steenburgh , M. Dumbović , M. Núñez , L. K. Jian , P. Hess , C. Wiegand , A. Taktakishvili , J. Andries

The arrival time prediction of Coronal mass ejections (CMEs) is an area of active research. Many methods with varying levels of complexity have been developed to predict CME arrival. However, the mean absolute error (MAE) of predictions…

The Effective Acceleration Model (EAM) predicts the Time-of-Arrival (ToA) of the Coronal Mass Ejection (CME) driven shock and the average speed within the sheath at 1 AU. The model is based on the assumption that the ambient solar wind…

Using a refined setup process, we simulated the propagation of six observed Coronal Mass Ejections (CMEs) with the 2012 Block-Adaptive-Tree-Solarwind-Roe-Upwind-Scheme (BATS-R-US) code from the Sun to the Earth or STEREO A and compared the…

空间物理 · 物理学 2019-05-23 J. M. Schmidt , Iver H. Cairns

Flux-rope-based magnetohydrodynamic modeling of coronal mass ejections (CMEs) is a promising tool for the prediction of the CME arrival time and magnetic field at Earth. In this work, we introduce a constant-turn flux rope model and use it…

空间物理 · 物理学 2022-07-20 Talwinder Singh , Tae K. Kim , Nikolai V. Pogorelov , Charles N. Arge

We investigate the performance of six methods for predicting the CME time of arrival (ToA) and velocity at Earth using a sample of nine Earth-impacting CMEs between May 2010 and June 2011. The CMEs were tracked continuously from the Sun to…

太阳与恒星天体物理 · 物理学 2013-11-01 R. C. Colaninno , A. Vourlidas , C. -C. Wu

The forecast of the time of arrival of a coronal mass ejection (CME) to Earth is of critical importance for our high-technology society and for any future manned exploration of the Solar System. As critical as the forecast accuracy is the…

Accurately predicting the arrival of coronal mass ejections (CMEs) at the Earth based on remote images is of critical significance in the study of space weather. In this paper, we make a statistical study of 21 Earth directed CMEs,…

太阳与恒星天体物理 · 物理学 2015-05-06 Tong Shi , Yikang Wang , Linfeng Wan , Xin Cheng , Mingde Ding , Jie Zhang

Proactive autoscaling for containerized workloads depends on knowing the provisioning delay, i.e., the time between a scaling decision and the moment new capacity is ready to serve traffic. In practice, this cold-start duration can vary…

分布式、并行与集群计算 · 计算机科学 2026-05-18 Himanshu Singh Baghel

We present the first real-time predictions of coronal mass ejection (CME) magnetic structure and resulting geomagnetic impact at Earth for two events using far-upstream observations from Solar Orbiter during March 2024. While our approach…

Forecasting the arrival of coronal mass ejections (CMEs) is vital for protecting satellites, power systems, and human spaceflight. We present HELIOPANDA: Heliospheric Observer for Predicting CME Arrival via Nonlinear Drag Assimilation, a…

太阳与恒星天体物理 · 物理学 2025-10-01 Zaina Abu-Shaar , Tatiana Podladchikova , Astrid M. Veronig , Mateja Dumbovic , Stefan J. Hofmeister

Coronal Mass Ejections (CMEs) are arguably the most violent eruptions in the Solar System. CMEs can cause severe disturbances in the interplanetary space and even affect human activities in many respects, causing damages to infrastructure…

太阳与恒星天体物理 · 物理学 2018-03-28 Jiajia Liu , Yudong Ye , Chenlong Shen , Yuming Wang , Robert Erdélyi

Coronal mass ejections (CMEs) can create significant disruption to human activities and systems on Earth, much of which can be mitigated with prior warning of the upstream solar wind conditions. However, it is currently extremely…

The empirical shock arrival (ESA) model was developed based on quadrature data from Helios (in-situ) and P-78 (remote-sensing) to predict the Sun-Earth travel time of coronal mass ejections (CMEs) [Gopalswamy et al. 2005a]. The ESA model…

太阳与恒星天体物理 · 物理学 2015-06-17 N. Gopalswamy , P. Mäkelä , H. Xie , S. Yashiro
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