Comparative Study of Data-driven Coronal Field Models with a Ground-truth Flux Emergence Simulation
Abstract
To better understand the dynamic activities in the so lar corona, it is desirable to follow the temporal evolution of coronal magnetic field and accurately measure the stored free magnetic energy. Data-driven coronal field models, in which the coronal field evolves in response to the sequentially updated photospheric field, have recently been developed and revealed the dynamics of flare-producing active regions. Here we report on the first attempt to qualitatively and quantitatively compare different data-driven models by using a magnetic flux emergence simulation as a ground-truth data set. We find that, at least, all models succeed in reproducing the twisted flux rope structure in the atmosphere. However, they show a certain degree of model dependence in, for instance, the structure of the flux rope, the rising speed, and the estimation of magnetic energy and helicity. In the presentation, we discuss the possible causes of the discrepancies, attributing them to the highly non-force-free input photospheric field, from which the coronal field is reconstructed, and the constraints in the data-driven models.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2019
- Bibcode:
- 2019AGUFMSH34B..04T
- Keywords:
-
- 7536 Solar activity cycle;
- SOLAR PHYSICS;
- ASTROPHYSICS;
- AND ASTRONOMY;
- 7537 Solar and stellar variability;
- SOLAR PHYSICS;
- ASTROPHYSICS;
- AND ASTRONOMY;
- 7544 Stellar interiors and dynamo theory;
- SOLAR PHYSICS;
- ASTROPHYSICS;
- AND ASTRONOMY;
- 7594 Instruments and techniques;
- SOLAR PHYSICS;
- ASTROPHYSICS;
- AND ASTRONOMY