# A Data-Driven MHD Model of the Global Solar Corona within Multi-Scale   Fluid-Kinetic Simulation Suite (MS-FLUKSS)

**Authors:** Mehmet Sarp Yalim, Nikolai Pogorelov, Yang Liu

arXiv: 1703.00566 · 2017-06-28

## TL;DR

This paper introduces a data-driven MHD model of the global solar corona integrated within the MS-FLUKSS simulation suite, capable of utilizing diverse observational data and employing adaptive mesh refinement for improved accuracy.

## Contribution

The paper presents a novel data-driven MHD model with characteristic boundary conditions, implemented in MS-FLUKSS, capable of assimilating various solar observational data for the first time.

## Key findings

- Successful benchmark test of dipole field relaxation
- Effective relaxation of PFSS field using HMI LOS data
- Demonstrated model's capability with different observational inputs

## Abstract

We have developed a data-driven magnetohydrodynamic (MHD) model of the global solar corona which uses characteristically-consistent boundary conditions (BCs) at the inner boundary. Our global solar corona model can be driven by different observational data including Solar Dynamics Observatory/Helioseismic and Magnetic Imager (SDO/HMI) synoptic vector magnetograms together with the horizontal velocity data in the photosphere obtained by the time-distance helioseismology method, and the line-of-sight (LOS) magnetogram data obtained by HMI, Solar and Heliospheric Observatory/Michelson Doppler Imager (SOHO/MDI), National Solar Observatory/Global Oscillation Network Group (NSO/GONG) and Wilcox Solar Observatory (WSO). We implemented our model in the Multi-Scale Fluid-Kinetic Simulation Suite (MS-FLUKSS) - a suite of adaptive mesh refinement (AMR) codes built upon the Chombo AMR framework developed at the Lawrence Berkeley National Laboratory. We present an overview of our model, characteristic BCs, and two results we obtained using our model: A benchmark test of relaxation of a dipole field using characteristic BCs, and relaxation of an initial PFSS field driven by HMI LOS magnetogram data, and horizontal velocity data obtained by the time-distance helioseismology method using a set of non-characteristic BCs.

## Full text

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## Figures

18 figures with captions in the complete paper: https://tomesphere.com/paper/1703.00566/full.md

## References

34 references — full list in the complete paper: https://tomesphere.com/paper/1703.00566/full.md

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Source: https://tomesphere.com/paper/1703.00566