UFCORIN: A fully automated predictor of solar flares in GOES X‐ray flux

@article{Muranushi2015UFCORINAF,
  title={UFCORIN: A fully automated predictor of solar flares in GOES X‐ray flux},
  author={Takayuki Muranushi and Takuya Shibayama and Yuko Hada Muranushi and H. Isobe and Shigeru Nemoto and Kenji Komazaki and Kazunari Shibata},
  journal={Social Work},
  year={2015},
  volume={13},
  pages={778-796}
}
We have developed UFCORIN, a platform for studying and automating space weather prediction. Using our system we have tested 6160 different combinations of Solar Dynamic Observatory/Helioseismic and Magnetic Imager data as input data, and simulated the prediction of GOES X-ray flux for 2 years (2011–2012) with 1 h cadence. We have found that direct comparison of the true skill statistic (TSS) from small cross-validation sets is ill posed and used the standard scores (z) of the TSS to compare the… Expand
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