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Predicting large solar flares with data assimilation

Published online by Cambridge University Press:  27 October 2016

Antoine Strugarek  and
Paul Charbonneau
Antoine Strugarek
Affiliation:
Université de Montréal, C.P. 6128 Succ. Centre-Ville, Montréal, QC H3C-3J7, Canada email: strugarek@astro.umontreal.ca
Paul Charbonneau
Affiliation:
Université de Montréal, C.P. 6128 Succ. Centre-Ville, Montréal, QC H3C-3J7, Canada email: strugarek@astro.umontreal.ca
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Abstract

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We propose to use a deterministically-driven class of self-organized criticality sandpile models to carry out predictions of the largest, most dangerous, and hardest to predict solar flares.

Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 11 , General Assembly A29B: Astronomy in Focus , August 2015 , pp. 734
Copyright
Copyright © International Astronomical Union 2016 

References

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Strugarek, A. & Charbonneau, P. 2014, Sol. Phys., 289, 4137 Google Scholar
Strugarek, A., Charbonneau, P., Joseph, R., & Pirot, D. 2014, Sol. Phys., 289, 2993 Google Scholar