Hostname: page-component-586b7cd67f-rdxmf Total loading time: 0 Render date: 2024-11-27T13:01:47.868Z Has data issue: false hasContentIssue false

Predicting large solar flares with data assimilation

Published online by Cambridge University Press:  27 October 2016

Antoine Strugarek
Affiliation:
Université de Montréal, C.P. 6128 Succ. Centre-Ville, Montréal, QC H3C-3J7, Canada email: [email protected]
Paul Charbonneau
Affiliation:
Université de Montréal, C.P. 6128 Succ. Centre-Ville, Montréal, QC H3C-3J7, Canada email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

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
Copyright
Copyright © International Astronomical Union 2016 

References

Aschwanden, M. J., Crosby, N. B., Dimitropoulou, M., et al. 2014, Space Sci. Rev., 29 Google Scholar
Lu, E. T. & Hamilton, R. J. 1991, ApJL, 380, L89 Google Scholar
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