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Predicting large solar flares with data assimilation
Published online by Cambridge University Press: 27 October 2016
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
Aschwanden, M. J., Crosby, N. B., Dimitropoulou, M., et al.
2014, Space Sci. Rev., 29
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