Recent advances in solar data-driven MHD simulations of the formation and evolution of CME flux ropes

被引:0
|
作者
Brigitte, Schmieder [1 ,2 ]
Jinhan, Guo [1 ,3 ]
Stefaan, Poedts [1 ,4 ]
机构
[1] Katholieke Univ Leuven, Dept Math, CmPA, Celestijnenlaan 200B, B-3001 Leuven, Belgium
[2] Observ Paris, LIRA, 5 Pl Janssen, F-92195 Meudon, Hauts De Seine, France
[3] Nanjing Univ, Sch Astron & Space Sci, 163 Xianlin Rd, Nanjing 210023, Peoples R China
[4] Univ Mar Curie Sklodowska, Inst Phys, Ul Marii Curie Sklodowskiej 1, PL-20031 Lublin, Poland
来源
REVIEWS OF MODERN PLASMA PHYSICS | 2024年 / 8卷 / 01期
关键词
Solar flares; Coronal mass ejections; MHD simulations; FREE MAGNETIC-FIELD; QUASI-SEPARATRIX LAYERS; CORONAL MASS EJECTION; FORCE; RECONNECTION; MODEL; INITIATION; FLARES; RECONSTRUCTION; MECHANISM;
D O I
10.1007/s41614-024-00166-3
中图分类号
O35 [流体力学]; O53 [等离子体物理学];
学科分类号
070204 ; 080103 ; 080704 ;
摘要
Filament eruptions and coronal mass ejections are physical phenomena related to magnetic flux ropes carrying electric current. A magnetic flux rope is a key structure for solar eruptions, and when it carries a southward magnetic field component when propagating to the Earth. It is the primary driver of strong geomagnetic storms. As a result, developing a numerical model capable of capturing the entire progression of a flux rope, from its inception to its eruptive phase, is crucial for forecasting adverse space weather. The existence of such flux ropes is revealed by the presence of sigmoids or hot channels in active regions and filaments or prominences by observations from space and ground instruments. After proposing cartoons in 2D, potential, linear, non-linear-force-free-field (NLFFF) and non-force-free-field (NFFF) magnetic extrapolations, 3D numerical magnetohydrodynamic (MHD) simulation models were developed, first in a static configuration and later dynamic data-driven MHD models using high resolution observed vector magnetograms. This paper reviews a few recent developments in data-driven models, such as the time-dependent magneto-frictional (TMF) and thermodynamic magnetohydrodynamic (MHD) models. Hereafter, to demonstrate the capacity of these models to reveal the physics of observations, we present the results for three events explored in our group: 1. the eruptive X1.0 flare on 28 October 2021; 2. the filament eruption on 18 August 2022; and 3. the confined X2.2 flare on 6 September 2017. These case studies validate the ability of data-driven models to retrieve observations, including the formation and eruption of flux ropes, 3D magnetic reconnection, CME three-part structures and the failed eruption. Based on these results, we provide some arguments for the formation mechanisms of flux ropes, the physical nature of the CME leading front, and the constraints of failed eruptions.
引用
收藏
页数:33
相关论文
共 50 条
  • [21] Recent advances in data-driven modeling of remote sensing applications in hydrology
    Evora, Noel D.
    Coulibaly, Paulin
    JOURNAL OF HYDROINFORMATICS, 2009, 11 (3-4) : 194 - 201
  • [22] An Evolution and Eruption of the Coronal Magnetic Field through a Data-driven MHD Simulation
    Inoue, Satoshi
    Hayashi, Keiji
    Miyoshi, Takahiro
    ASTROPHYSICAL JOURNAL, 2023, 946 (01):
  • [23] A comparison of the formation and evolution of magnetic flux ropes in solar coronal mass ejections and magnetotail plasmoids
    Linton, M. G.
    Moldwin, M. B.
    JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS, 2009, 114
  • [24] The role of optimization in some recent advances in data-driven decision-making
    Baardman, Lennart
    Cristian, Rares
    Perakis, Georgia
    Singhvi, Divya
    Lami, Omar Skali
    Thayaparan, Leann
    MATHEMATICAL PROGRAMMING, 2023, 200 (01) : 1 - 35
  • [25] The role of optimization in some recent advances in data-driven decision-making
    Lennart Baardman
    Rares Cristian
    Georgia Perakis
    Divya Singhvi
    Omar Skali Lami
    Leann Thayaparan
    Mathematical Programming, 2023, 200 : 1 - 35
  • [26] Solar Magnetic Flux Rope Eruption Simulated by a Data-driven Magnetohydrodynamic Model
    Guo, Yang
    Xia, Chun
    Keppens, Rony
    Ding, M. D.
    Chen, P. F.
    ASTROPHYSICAL JOURNAL LETTERS, 2019, 870 (02)
  • [27] Recent advances on industrial data-driven energy savings: Digital twins and infrastructures
    Teng, Sin Yong
    Tous, Michal
    Leong, Wei Dong
    How, Bing Shen
    Lam, Hon Loong
    Masa, Vitezslav
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2021, 135
  • [28] The winding number of coronal flux ropes I. Data-driven time-dependent magnetofrictional modelling
    Price, D. J.
    Pomoell, J.
    Kilpua, E. K. J.
    ASTRONOMY & ASTROPHYSICS, 2024, 686
  • [29] Hybrid Data-driven Magnetofrictional and Magnetohydrodynamic Simulations of an Eruptive Solar Active Region
    Afanasyev, Andrey N.
    Fan, Yuhong
    Kazachenko, Maria D.
    Cheung, Mark C. M.
    ASTROPHYSICAL JOURNAL, 2023, 952 (02):
  • [30] Data-driven modeling of solar coronal magnetic field evolution and eruptions
    Jiang, Chaowei
    Feng, Xueshang
    Guo, Yang
    Hu, Qiang
    INNOVATION, 2022, 3 (03):