GRACE and GRACE-FO Related Publications (no abstracts)

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A data-driven approach to generate past GRACE-like terrestrial water storage solution by calibrating the land surface model simulations

Jing, Wenlong, Di, Liping, Zhao, Xiaodan, Yao, Ling, Xia, Xiaolin, Liu, Yangxiaoyue, Yang, Ji, Li, Yong, and Zhou, Chenghu, 2020. A data-driven approach to generate past GRACE-like terrestrial water storage solution by calibrating the land surface model simulations. Advances in Water Resources, 143:103683, doi:10.1016/j.advwatres.2020.103683.

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@ARTICLE{2020AdWR..14303683J,
       author = {{Jing}, Wenlong and {Di}, Liping and {Zhao}, Xiaodan and {Yao}, Ling and {Xia}, Xiaolin and {Liu}, Yangxiaoyue and {Yang}, Ji and {Li}, Yong and {Zhou}, Chenghu},
        title = "{A data-driven approach to generate past GRACE-like terrestrial water storage solution by calibrating the land surface model simulations}",
      journal = {Advances in Water Resources},
     keywords = {Terrestrial water storage, Machine learning, GRACE, The Nile River basin},
         year = 2020,
        month = sep,
       volume = {143},
          eid = {103683},
        pages = {103683},
          doi = {10.1016/j.advwatres.2020.103683},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2020AdWR..14303683J},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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