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

Author: 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
Submit Time:2023-02-19 20:58:59

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.

Subject: Astronomy >> Astrophysical processes
Cite as: ChinaXiv:202303.03434 (or this version ChinaXiv:202303.03434V1)
DOI:10.12074/202303.03434V1
CSTR:32003.36.ChinaXiv.202303.03434.V1
TXID： 1c7b4570-8efe-4650-827a-64027181aeeb
Recommended references： 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.Towards data-driven modeling and real-time prediction of solar flares and coronal mass ejections.中国科学院科技论文预发布平台.[ChinaXiv:202303.03434V1] (Click&Copy)

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

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