Data-driven magnetohydrodynamic simulation of the initiation of a coronal mass ejection with multiple stages

Coronal mass ejections (CMEs) are the primary drivers of adverse space-weather events, yet their initiation and onset prediction remain insufficiently understood due to the complexity of the magnetic topology and physical processes in real solar source regions. Using a fully observational-data-driven magnetohydrodynamic simulation, we successfully reproduced the initiation of a CME originating from the super active region 13663, with only a one-minute time lag between the flare peak in observations and the velocity peak of the rising flux rope in the simulation. Moreover, the eruptive structure exhibits a multi-stage kinematic evolution: an initial slow acceleration, a plateau at a nearly stationary height, and a subsequent impulsive acceleration. These stages correspond to torus instability, the downward tension force exerted by the overlying toroidal field, and fast magnetic reconnection, respectively. Our results highlight the inherently multistage nature of CME initiation in real events. In configurations with strong overlying toroidal fields, the downward toroidal-field-induced tension force can suppress the rise of the flux rope and produce a plateau phase at a nearly stable height, even when torus instability occurs. In contrast, the subsequent fast magnetic reconnection beneath the flux rope can drive the impulsive eruption more effectively. The close agreement between the observed and simulated peak times over one minute demonstrates the strong potential of our data-driven model for predicting CME onset.

Authors

Institutions

Publication Details

Journal
Astronomy and Astrophysics
Published
2026-02-13
DOI
https://doi.org/10.1051/0004-6361/202558457
Primary Topic
Solar and Space Plasma Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Data-driven magnetohydrodynamic simulation of the initiation of a coronal mass ejection with multiple stages

Y. W. Ni, Z. Zhong, H. Wu, Y. P. Guo et al.
Astronomy and Astrophysics
Solar and Space Plasma Dynamics
article

Data-driven magnetohydrodynamic simulation of the initiation of a coronal mass ejection with multiple stages

Y. W. Ni, Z. Zhong, H. Wu, Y. P. Guo, B. Schmieder, Y. H. Zhou, P. F. Chen, C. Zhou, S. H. Li, J. N. Guo, S. Poedts
article en

Abstract

Coronal mass ejections (CMEs) are the primary drivers of adverse space-weather events, yet their initiation and onset prediction remain insufficiently understood due to the complexity of the magnetic topology and physical processes in real solar source regions. Using a fully observational-data-driven magnetohydrodynamic simulation, we successfully reproduced the initiation of a CME originating from the super active region 13663, with only a one-minute time lag between the flare peak in observations and the velocity peak of the rising flux rope in the simulation. Moreover, the eruptive structure exhibits a multi-stage kinematic evolution: an initial slow acceleration, a plateau at a nearly stationary height, and a subsequent impulsive acceleration. These stages correspond to torus instability, the downward tension force exerted by the overlying toroidal field, and fast magnetic reconnection, respectively. Our results highlight the inherently multistage nature of CME initiation in real events. In configurations with strong overlying toroidal fields, the downward toroidal-field-induced tension force can suppress the rise of the flux rope and produce a plateau phase at a nearly stable height, even when torus instability occurs. In contrast, the subsequent fast magnetic reconnection beneath the flux rope can drive the impulsive eruption more effectively. The close agreement between the observed and simulated peak times over one minute demonstrates the strong potential of our data-driven model for predicting CME onset.

Astronomy and AstrophysicsVol. 707
Centre National de la Recherche Scientifique (FR), Délégation Paris 7 (FR), Maria Curie-Skłodowska University (PL), Université Paris Cité (FR), Sorbonne Université (FR), Centre of Plasma Physics - Institute for Plasma Research (IN), Astronomy and Space (AU), Institut für Lungenforschung (DE), Nanjing University (CN)
Openalex Percentile: Top 55%
Solar and Space Plasma Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.