Solar Flare Index Prediction Using SDO/HMI Vector Magnetic Data Products with Statistical and Machine-learning Methods

@article{Zhang2022SolarFI,
  title={Solar Flare Index Prediction Using SDO/HMI Vector Magnetic Data Products with Statistical and Machine-learning Methods},
  author={Hewei Zhang and Qin Li and Yanxing Yang and Ju Jing and Jason Tsong-Li Wang and Haimin Wang and Zuofeng Shang},
  journal={The Astrophysical Journal Supplement Series},
  year={2022},
  volume={263}
}
Solar flares, especially the M- and X-class flares, are often associated with coronal mass ejections. They are the most important sources of space weather effects, which can severely impact the near-Earth environment. Thus it is essential to forecast flares (especially the M- and X-class ones) to mitigate their destructive and hazardous consequences. Here, we introduce several statistical and machine-learning approaches to the prediction of an active region’s (AR) flare index (FI) that… 

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