The Coronal Global Evolutionary Model: Using HMI Vector Magnetogram and Doppler Data to Model the Buildup of Free Magnetic Energy in the Solar Corona
George H. Fisher, William. P. Abbett, David J. Bercik, Maria D., Kazachenko, Benjamin J. Lynch, Brian T. Welsch, J. Todd Hoeksema, Keiji, Hayashi, Yang Liu, Aimee A. Norton, Alberto Sainz Dalda, Xudong Sun, Marc L., DeRosa, and Mark C. M. Cheung

TL;DR
This paper introduces the Coronal Global Evolutionary Model (CGEM), which uses solar magnetic and velocity data to simulate the buildup and release of magnetic energy in the solar corona, aiding space weather prediction.
Contribution
It develops and evaluates a data-driven model of the solar coronal magnetic field evolution based on HMI vector magnetogram and Doppler data.
Findings
Successfully models magnetic energy buildup in the corona.
Provides a foundation for MHD-based space weather forecasting.
Enhances understanding of solar eruptive processes.
Abstract
The most violent space weather events (eruptive solar flares and coronal mass ejections) are driven by the release of free magnetic energy stored in the solar corona. Energy can build up on timescales of hours to days, and then may be suddenly released in the form of a magnetic eruption, which then propagates through interplanetary space, possibly impacting the Earth's space environment. Can we use the observed evolution of the magnetic and velocity fields in the solar photosphere to model the evolution of the overlying solar coronal field, including the storage and release of magnetic energy in such eruptions? The objective of CGEM, the Coronal Global Evolutionary Model, funded by the NASA/NSF Space Weather Modeling program, is to develop and evaluate such a model for the evolution of the coronal magnetic field. The evolving coronal magnetic field can then be used as a starting point…
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