The Coronal Global Evolutionary Model: Using HMI Vector Magnetogram and Doppler Data to Determine Coronal Magnetic Field Evolution
J. Todd Hoeksema, William P. Abbett, David J. Bercik, Mark C. M., Cheung, Marc L. DeRosa, George H. Fisher, Keiji Hayashi, Maria D. Kazachenko,, Yang Liu, Erkka Lumme, Benjamin J. Lynch, Xudong Sun, and Brian T. Welsch

TL;DR
The paper introduces the Coronal Global Evolutionary Model (CGEM), a comprehensive data-driven framework that simulates the solar corona's magnetic field evolution by integrating vector magnetogram and Doppler data, advancing understanding of solar eruptive events.
Contribution
It develops a multi-module, data-driven simulation system combining electric field derivation, flux transport, and MHD modeling to study coronal magnetic evolution.
Findings
Successful application to NOAA Active Region 11158
Reconstruction of magnetic field evolution consistent with observations
Enhanced understanding of magnetic energy build-up in the corona
Abstract
The Coronal Global Evolutionary Model (CGEM) provides data-driven simulations of the magnetic field in the solar corona to better understand the build-up of magnetic energy that leads to eruptive events. The CGEM project has developed six capabilities. CGEM modules (1) prepare time series of full-disk vector magnetic field observations to (2) derive the changing electric field in the solar photosphere over active-region scales. This local electric field is (3) incorporated into a surface flux transport model that reconstructs a global electric field that evolves magnetic flux in a consistent way. These electric fields drive a (4) 3D spherical magneto-frictional (SMF) model, either at high-resolution over a restricted range of solid angle or at lower resolution over a global domain, to determine the magnetic field and current density in the low corona. An SMF-generated initial field…
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