A New Approach of Data-driven Simulation and Its Application to Solar Active Region 12673

TL;DR

This paper introduces a novel data-driven simulation method for solar active regions, improving magnetic energy injection modeling and reproducing magnetic flux evolution, aiding in understanding solar eruptions.

Contribution

It presents a new electric field inversion approach that enhances boundary conditions for MHD simulations of solar active regions.

Findings

Enhanced magnetic energy injection in simulations.

Reproduction of photospheric magnetic flux evolution.

Morphological similarity of coronal magnetic fields to observed loops.

Abstract

The solar coronal magnetic field is a pivotal element in the study of eruptive phenomena, and understanding its dynamic evolution has long been a focal point in solar physics. Numerical models, driven directly by observation data, serve as indispensable tools in investigating the dynamics of the coronal magnetic field. This paper presents a new approach to electric field inversion, which involves modifying the electric field derived from the DAVE4VM velocity field using ideal Ohm's law. The time series of the modified electric field is used as a boundary condition to drive a MHD model, which is applied to simulate the magnetic field evolution of active region 12673. The simulation results demonstrate that our method enhances the magnetic energy injection through the bottom boundary, as compared with energy injection calculated directly from the DAVE4VM code, and reproduce of the evolution of the photospheric magnetic flux. The coronal magnetic field structure is also in morphological similarity to the coronal loops. This new approach will be applied to the high-accuracy simulation of eruption phenomena and provide more details on the dynamical evolution of the coronal magnetic field.