GRACE and GRACE-FO Related Publications (no abstracts)

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Improving the Extraction Ability of Thermospheric Mass Density Variations From Observational Data by Deep Learning

Li, Wenbo, Liu, Libo, Chen, Yiding, Xiao, Zhuowei, Le, Huijun, and Zhang, Ruilong, 2023. Improving the Extraction Ability of Thermospheric Mass Density Variations From Observational Data by Deep Learning. Space Weather, 21(7):e2022SW003376, doi:10.1029/2022SW003376.

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@ARTICLE{2023SpWea..2103376L,
       author = {{Li}, Wenbo and {Liu}, Libo and {Chen}, Yiding and {Xiao}, Zhuowei and {Le}, Huijun and {Zhang}, Ruilong},
        title = "{Improving the Extraction Ability of Thermospheric Mass Density Variations From Observational Data by Deep Learning}",
      journal = {Space Weather},
     keywords = {deep learning, thermospheric mass density, CHAMP, feature extraction, solar radiation, geomagnetic storm},
         year = 2023,
        month = jul,
       volume = {21},
       number = {7},
          eid = {e2022SW003376},
        pages = {e2022SW003376},
          doi = {10.1029/2022SW003376},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2023SpWea..2103376L},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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