Testing a Data-driven Active Region Evolution Model with Boundary Data at Different Heights from a Solar Magnetic Flux Emergence Simulation
Chaowei Jiang, Shin Toriumi

TL;DR
This study evaluates a data-driven active region evolution model using boundary data at different heights from a solar flux emergence simulation, highlighting the impact of Lorentz force on model accuracy.
Contribution
It demonstrates that boundary data with lower Lorentz force at higher altitudes improves the DARE model's performance in simulating coronal magnetic fields.
Findings
Lorentz force significantly affects model accuracy.
Higher boundary levels yield better agreement with simulations.
Photospheric magnetic data can be suitable for driving the model.
Abstract
A data-driven active region evolution (DARE) model has been developed to study the complex structures and dynamics of solar coronal magnetic fields. The model is configured with typical coronal environment of tenuous gas governed by strong magnetic field, and thus its lower boundary is set at the base of the corona, but driven by magnetic fields observed in the photosphere. A previous assessment of the model using data from a flux emergence simulation (FES) showed that the DARE failed to reproduce the coronal magnetic field in the FES, which is attributed to the fact that the photospheric data in the FES has a very strong Lorentz force and therefore spurious flows are generated in the DARE model. Here we further test the DARE by using three sets of data from the FES sliced at incremental heights, which correspond to the photosphere, the chromosphere and the base of the corona. It is…
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