Time-dependent Data-driven Modeling of Active Region Evolution Using Energy-optimized Photospheric Electric Fields.

ABSTRACT: In this work, we present results of a time-dependent data-driven numerical simulation developed to study the dynamics of coronal active region magnetic fields. The evolving boundary condition driving the model, the photospheric electric field, is inverted using a time sequence of vector magnetograms as input. We invert three distinct electric field datasets for a single active region. All three electric fields reproduce the observed evolution of the normal component of the magnetic field. Two of the datasets are constructed so as to match the energy input into the corona to that provided by a reference estimate. Using the three inversions as input to a time-dependent magnetofrictional model, we study the response of the coronal magnetic field to the driving electric fields. The simulations

SUBMITTER: Pomoell J 

PROVIDER: S-EPMC6459003 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature