6 papers
COCONUT: Toward practical time-evolving Sun-to-Earth magnetohydrodynamic modeling
Haopeng Wang, Stefaan Poedts, Andrea Lani +16
Due to computational efficiency and numerical stability limitations, coronal simulations constrained by static magnetograms are typically performed first and then used to drive inn…
MHD modeling of magnetic flux evolution around solar maximum by the coronal model COCONUT
Haopeng Wang, Stefaan Poedts, Andrea Lani +15
In this paper, we simulate the magnetic flux evolution at different heliocentric distances during two solar-maximum Carrington rotations (CRs) using the time-evolving coronal magne…
COCONUT: A coronal model with an energy decomposition strategy
Haopeng Wang, Stefaan Poedts, Andrea Lani +11
In this paper, we propose an energy decomposition method combined with an HLL Riemann solver that includes an additional dissipation term in the energy equation to improve the nume…
SIP-IFVM: An observation-based magnetohydrodynamic model of coronal mass ejection
Haopeng Wang, Jinhan Guo, Stefaan Poedts +12
Currently, achieving a balance between computational efficiency, accuracy, and numerical stability in CME simulations, particularly in the sub-Alfv{'e}nic coronal region, remains a…
Time-evolving coronal modelling of the solar maximum around the solar storms in May 2024 by COCONUT
Haopeng Wang, Stefaan Poedts, Andrea Lani +8
Time-evolving MHD coronal models deliver more realistic results than traditional quasi-steady-state models. The fully implicit time-evolving coronal model COCONUT performs efficien…
Magnetogram-to-Magnetogram: Generative Forecasting of Solar Evolution
Francesco Pio Ramunno, Hyun-Jin Jeong, Stefan Hackstein +3
Investigating the solar magnetic field is crucial to understand the physical processes in the solar interior as well as their effects on the interplanetary environment. We introduc…