Modeling the Dynamic Variability of Sub‐Relativistic Outer Radiation Belt Electron Fluxes Using Machine Learning

@article{Ma2021ModelingTD,
  title={Modeling the Dynamic Variability of Sub‐Relativistic Outer Radiation Belt Electron Fluxes Using Machine Learning},
  author={Donglai Ma and Xiangning Chu and Jacob Bortnik and G. Seth Claudepierre and W. Kent Tobiska and Alfredo Cruz and S. Dave Bouwer and J.F.Fennell and J.B.Blake},
  journal={Space Weather},
  year={2021},
  volume={20}
}
We present a set of neural network models that reproduce the dynamics of electron fluxes in the range of 50 keV ∼1 MeV in the outer radiation belt. The Outer Radiation belt Electron Neural net model for Medium energy electrons uses only solar wind conditions and geomagnetic indices as input. The models are trained on electron flux data from the Magnetic Electron Ion Spectrometer instrument onboard Van Allen Probes, and they can reproduce the dynamic variations of electron fluxes in different… 

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