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Global non-potential magnetic models of the solar corona during the March 2015 eclipse.

Yeates, A. R. and Amari, T. and Contopoulos, I. and Feng, X. and Mackay, D. H. and Mikic, Z. and Wiegelmann, T. and Hutton, J. and Lowder, C. A. and Morgan, H. and Petrie, G. and Rachmeler, L. A. and Upton, L. A. and Canou, A. and Chopin, P. and Downs, C. and Druckmuller, M. and Linker, J. A. and Seaton, D. B. and Torok, T. (2018) 'Global non-potential magnetic models of the solar corona during the March 2015 eclipse.', Space science reviews., 214 . p. 99.


Seven different models are applied to the same problem of simulating the Sun’s coronal magnetic field during the solar eclipse on 2015 March 20. All of the models are non-potential, allowing for free magnetic energy, but the associated electric currents are developed in significantly different ways. This is not a direct comparison of the coronal modelling techniques, in that the different models also use different photospheric boundary conditions, reflecting the range of approaches currently used in the community. Despite the significant differences, the results show broad agreement in the overall magnetic topology. Among those models with significant volume currents in much of the corona, there is general agreement that the ratio of total to potential magnetic energy should be approximately 1.4. However, there are significant differences in the electric current distributions; while static extrapolations are best able to reproduce active regions, they are unable to recover sheared magnetic fields in filament channels using currently available vector magnetogram data. By contrast, time-evolving simulations can recover the filament channel fields at the expense of not matching the observed vector magnetic fields within active regions. We suggest that, at present, the best approach may be a hybrid model using static extrapolations but with additional energization informed by simplified evolution models. This is demonstrated by one of the models.

Item Type:Article
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Publisher statement:© The Author(s) 2018. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Date accepted:31 July 2018
Date deposited:03 August 2018
Date of first online publication:08 August 2018
Date first made open access:No date available

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