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arXiv · 2212.14384

Towards data-driven modeling and real-time prediction of solar flares and coronal mass ejections

M. Rempel·Y. Fan·M. Dikpati·A. Malanushenko·M. D. Kazachenko·M. C. M. Cheung·G. Chintzoglou·X. Sun·G. H. Fisher·T. Y. Chen
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Abstract

Modeling of transient events in the solar atmosphere requires the confluence of 3 critical elements: (1) model sophistication, (2) data availability, and (3) data assimilation. This white paper describes required advances that will enable statistical flare and CME forecasting (e.g. eruption probability and timing, estimation of strength, and CME details, such as speed and magnetic field orientation) similar to weather prediction on Earth.

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M. Rempel, Y. Fan, M. Dikpati, A. Malanushenko, M. D. Kazachenko, M. C. M. Cheung, G. Chintzoglou, X. Sun, G. H. Fisher, T. Y. Chen. 2022-12-29. Towards data-driven modeling and real-time prediction of solar flares and coronal mass ejections. https://arxiv.org/abs/2212.14384

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