GRACE and GRACE-FO Related Publications (no abstracts)

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Combining Physically Based Modeling and Deep Learning for Fusing GRACE Satellite Data: Can We Learn From Mismatch?

Sun, A. Y., Scanlon, B. R., Zhang, Z., Walling, D., Bhanja, S. N., Mukherjee, A., and Zhong, Z., 2019. Combining Physically Based Modeling and Deep Learning for Fusing GRACE Satellite Data: Can We Learn From Mismatch?. Water Resources Research, 55:1179–1195, doi:10.1029/2018WR023333.

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@ARTICLE{2019WRR....55.1179S,
   author = {{Sun}, A.~Y. and {Scanlon}, B.~R. and {Zhang}, Z. and {Walling}, D. and {Bhanja}, S.~N. and {Mukherjee}, A. and {Zhong}, Z.},
    title = "{Combining Physically Based Modeling and Deep Learning for Fusing GRACE Satellite Data: Can We Learn From Mismatch?}",
  journal = {Water Resources Research},
archivePrefix = "arXiv",
   eprint = {1902.01933},
 primaryClass = "physics.geo-ph",
 keywords = {deep learning, GRACE, GLDAS, Unet, transfer learning, CNN},
     year = 2019,
    month = feb,
   volume = 55,
    pages = {1179-1195},
      doi = {10.1029/2018WR023333},
   adsurl = {http://adsabs.harvard.edu/abs/2019WRR....55.1179S},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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