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A Method for Data-Driven Simulations of Evolving Solar Active Regions View all abstracts by submitter

Marc DeRosa   Submitted: 2012-08-14 18:20

We present a method for performing data-driven simulations of solar active region formation and evolution. The approach is based on magnetofriction, which evolves the induction equation assuming the plasma velocity is proportional to the Lorentz force. The simulations of active region coronal field are driven by temporal sequences of photospheric magnetograms from the Helioseismic Magnetic Imager (HMI) instrument onboard the Solar Dynamics Observatory (SDO). Under certain conditions, the data-driven simulations produce flux ropes that are ejected from the modeled active region due to loss of equilibrium. Following the ejection of flux ropes, we find an enhancement of the photospheric horizontal field near the polarity inversion line. We also present a method for the synthesis of mock coronal images based on a proxy emissivity calculated from the current density distribution in the model. This method yields mock coronal images that are somewhat reminiscent of images of active regions taken by instruments such as SDO?s Atmospheric Imaging Assembly (AIA) at extreme ultraviolet wavelengths.

Authors: Mark C. M. Cheung & Marc L. DeRosa
Projects: SDO-HMI

Publication Status: ApJ (2012) 757 147
Last Modified: 2015-08-21 23:31
Go to main E-Print page  The Relationship between the Sudden Change of the Lorentz Force and the Magnitude of Associated Flares  Turbulent Coronal Heating Mechanisms: Coupling of Dynamics and Thermodynamics  Edit Entry  Download Preprint  Delete Entry 

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