Issue |
A&A
Volume 693, January 2025
|
|
---|---|---|
Article Number | A257 | |
Number of page(s) | 17 | |
Section | Numerical methods and codes | |
DOI | https://doi.org/10.1051/0004-6361/202450771 | |
Published online | 23 January 2025 |
SIP-IFVM: Efficient time-accurate magnetohydrodynamic model of the corona and coronal mass ejections
1
Centre for Mathematical Plasma-Astrophysics, Department of Mathematics, KU Leuven,
Celestijnenlaan 200B,
3001
Leuven,
Belgium
2
State Key Laboratory of Space Weather, Chinese Academy of Sciences,
Beijing
100190,
China
3
School of Astronomy and Space Science and Key Laboratory of Modern Astronomy and Astrophysics, Nanjing University,
Nanjing
210023,
China
4
Institute of Physics, University of Maria Curie-Skłodowska, ul.
Radziszewskiego 10,
20-031
Lublin,
Poland
5
Institute of Theoretical Astrophysics, University of Oslo,
PO Box 1029 Blindern,
0315
Oslo,
Norway
6
Rosseland Centre for Solar Physics, University of Oslo,
PO Box 1029 Blindern,
0315
Oslo,
Norway
7
Von Karman Institute For Fluid Dynamics,
Waterloosesteenweg 72,
1640
Sint-Genesius-Rode, Brussels,
Belgium
8
School of Earth and Space Sciences, Peking University,
Beijing
100871,
China
★ Corresponding authors; haopeng.wang1@kuleuven.be; jinhan.guo@kuleuven.be; Stefaan.Poedts@kuleuven.be
Received:
17
May
2024
Accepted:
8
December
2024
Context. Coronal mass ejections (CMEs) are one of the main drivers of space weather. However, robust and efficient numerical modelling applications of the initial stages of CME propagation and evolution process in the sub-Alfvénic corona are still lacking.
Aims. Magnetohydrodynamic (MHD) solar coronal models are critical in the Sun-to-Earth model chain, but they do sometimes encounter low-β (<10−4) problems near the solar surface. This paper aims to deal with these low-β problems and make MHD modelling suitable for practical space weather forecasting by developing an efficient and time-accurate MHD model of the solar corona and CMEs. In this paper, we present an efficient and time-accurate three-dimensional (3D) single-fluid MHD solar coronal model and employ it to simulate CME evolution and propagation.
Methods. Based on a quasi-steady-state implicit MHD coronal model, we developed an efficient time-accurate coronal model that can be used to speed up the CME simulation by selecting a large time-step size. We have called it the Solar Interplanetary Phenomena-Implicit Finite Volume Method (SIP-IFVM) coronal model. A pseudo-time marching method was implemented to improve temporal accuracy. A regularised Biot-Savart Laws (RBSL) flux rope, whose axis can be designed into an arbitrary shape, was inserted into the background corona to trigger the CME event. We performed a CME simulation on the background corona of Carrington rotation (CR) 2219 and evaluated the impact of time-step sizes on simulation results. Our study demonstrates that this model is able to simulate the CME evolution and propagation process from the solar surface to 20 Rs in less than 0.5 hours (192 CPU cores, ~1 M cells). Compared to the explicit counterpart, this implicit coronal model is not only faster, but it also has improved numerical stability. We also conducted an ad hoc simulation with initial magnetic fields artificially increased. It shows that this model can effectively deal with time-dependent low-β problems (β < 10−4). Additionally, an Orszag-Tang MHD vortex flow simulation demonstrates that the pseudo-time-marching method used in this coronal model can simulate small-scale unsteady-state flows.
Results. The simulation results show that this MHD coronal model is very efficient and numerically stable. It is a promising approach to simulating time-varying events in the solar corona with low plasma β in a timely and accurate manner.
Key words: magnetohydrodynamics (MHD) / methods: numerical / Sun: corona / Sun: coronal mass ejections (CMEs)
© The Authors 2025
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This article is published in open access under the Subscribe to Open model. Subscribe to A&A to support open access publication.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.