Time-evolving coronal modelling of the solar maximum around the solar storms in May 2024 by COCONUT
Haopeng Wang, Stefaan Poedts, Andrea Lani, Luis Linan, Tinatin Baratashvili, Fan Zhang, Daria Sorokina, Hyun-jin Jeong, Yucong Li, Najafi-Ziyazi Mahdi, Brigitte Schmieder

TL;DR
This paper enhances the COCONUT MHD coronal model to improve numerical stability and resolution during solar maximum, enabling more accurate real-time simulations of complex solar magnetic structures around solar storms.
Contribution
The study improves the COCONUT model's stability and resolution for solar maximum conditions, demonstrating its effectiveness in real-time global coronal simulations during active solar periods.
Findings
Enhanced positivity-preserving property improves stability.
Higher spatial resolution yields stronger magnetic field simulations.
Time-evolving models better match observational data.
Abstract
Time-evolving MHD coronal models deliver more realistic results than traditional quasi-steady-state models. The fully implicit time-evolving coronal model COCONUT performs efficiently enough for real-time coronal simulations during solar minimum. However, during solar maxima, the coronal magnetic field is more complex and stronger, and coronal structures evolve more rapidly than during solar minima. Time-evolving MHD coronal modelling of solar maxima often struggles with poor numerical stability and low computational efficiency. We enhanced the numerical stability of the time-evolving coronal model COCONUT to mitigate these issues with the aim to evaluate the differences between the time-evolving and quasi-steady-state coronal simulation results, and to assess the impact of the spatial resolution on global MHD coronal modelling of solar maxima. After enhancing the positivity-preserving…
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