GRACE and GRACE-FO Related Publications (no abstracts)

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An Artificial Neural Network-Based Ionospheric Model to Predict N$_m$F$_2$ and h$_m$F$_2$ Using Long-Term Data Set of FORMOSAT-3/COSMIC Radio Occultation Observations: Preliminary Results

Sai Gowtam, V. and Tulasi Ram, S., 2017. An Artificial Neural Network-Based Ionospheric Model to Predict N$_m$F$_2$ and h$_m$F$_2$ Using Long-Term Data Set of FORMOSAT-3/COSMIC Radio Occultation Observations: Preliminary Results. Journal of Geophysical Research (Space Physics), 122(A11):11, doi:10.1002/2017JA024795.

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@ARTICLE{2017JGRA..12211743S,
   author = {{Sai Gowtam}, V. and {Tulasi Ram}, S.},
    title = "{An Artificial Neural Network-Based Ionospheric Model to Predict N$_{m}$F$_{2}$ and h$_{m}$F$_{2}$ Using Long-Term Data Set of FORMOSAT-3/COSMIC Radio Occultation Observations: Preliminary Results}",
  journal = {Journal of Geophysical Research (Space Physics)},
 keywords = {ionosphere, GPS-radio occultation, N$_{m}$F$_{2}$, h$_{m}$F$_{2}$, neural networks},
     year = 2017,
    month = nov,
   volume = 122,
   number = A11,
    pages = {11},
      doi = {10.1002/2017JA024795},
   adsurl = {http://adsabs.harvard.edu/abs/2017JGRA..12211743S},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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