608 citations · 1.2k across the 9 of their papers we have counts for
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astro-ph.SR2020★ 40 cited
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 +10
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 le…
astro-ph.SR2020★ 33 cited
Comparative Study of Data-driven Solar Coronal Field Models Using a Flux Emergence Simulation as a Ground-truth Data Set
Shin Toriumi, Shinsuke Takasao, Mark C. M. Cheung +4
For a better understanding of magnetic field in the solar corona and dynamic activities such as flares and coronal mass ejections, it is crucial to measure the time-evolving corona…