EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Data-Driven MHD Simulations on Magnetic Flux Rope Eruptions

Yang Guo1, Mingde Ding1, Pengfei Chen1, Chun Xia2, Rony Keppens3, Ze Zhong1, Jinhan Guo1, and Yiwei Ni1
Yang Guo et al.
  • 1School of Astronomy and Space Science, Nanjing University, Nanjing 210023, China (
  • 2School of Physics and Astronomy, Yunnan University, Kunming 650050, China
  • 3Centre for mathematical Plasma Astrophysics, Department of Mathematics, KU Leuven, Celestijnenlaan 200B, B-3001 Leuven, Belgium

Solar eruptions such as flares and coronal mass ejections could cause disastrous space weather. To understand and predict these eruptive activities, we have to combine multi-wavelength observations and numerical simulations. Recently, data-driven magnetohydrodynamic (MHD) simulations have provided a series of new findings in studying the accumulation of electric current and magnetic energy in active regions, in explaining magnetic flux rope eruptions and coronal mass ejections. We briefly review the progress in this field and introduce one way to realize data-driven MHD simulation, including processing magnetic field observational data, inversion of velocity field and electric field, models as initial conditions and subsequent dynamic simulations. Finally, we will look into the future of the data-driven simulations and point out several methods to improve the simulation results. 

How to cite: Guo, Y., Ding, M., Chen, P., Xia, C., Keppens, R., Zhong, Z., Guo, J., and Ni, Y.: Data-Driven MHD Simulations on Magnetic Flux Rope Eruptions, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6875,, 2022.