English

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

Instrumentation and Methods for Astrophysics 2023-01-02 v1 Solar and Stellar Astrophysics Data Analysis, Statistics and Probability Space Physics Computation

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.

Keywords

Cite

@article{arxiv.2212.14384,
  title  = {Towards data-driven modeling and real-time prediction of solar flares and coronal mass ejections},
  author = {M. Rempel and Y. Fan and M. Dikpati and A. Malanushenko and M. D. Kazachenko and M. C. M. Cheung and G. Chintzoglou and X. Sun and G. H. Fisher and T. Y. Chen},
  journal= {arXiv preprint arXiv:2212.14384},
  year   = {2023}
}

Comments

Heliophysics 2050 White Paper