Publications related to the GRACE Missions (no abstracts)

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An assimilated deep learning approach to identify the influence of global climate on hydrological fluxes

Kalu, Ikechukwu, Ndehedehe, Christopher E., Okwuashi, Onuwa, Eyoh, Aniekan E., and Ferreira, Vagner G., 2022. An assimilated deep learning approach to identify the influence of global climate on hydrological fluxes. Journal of Hydrology, 614:128498, doi:10.1016/j.jhydrol.2022.128498.

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@ARTICLE{2022JHyd..61428498K,
       author = {{Kalu}, Ikechukwu and {Ndehedehe}, Christopher E. and {Okwuashi}, Onuwa and {Eyoh}, Aniekan E. and {Ferreira}, Vagner G.},
        title = "{An assimilated deep learning approach to identify the influence of global climate on hydrological fluxes}",
      journal = {Journal of Hydrology},
     keywords = {Deep learning, Neural Network, Nino 3.4, Terrestrial water storage, BPNN},
         year = 2022,
        month = nov,
       volume = {614},
          eid = {128498},
        pages = {128498},
          doi = {10.1016/j.jhydrol.2022.128498},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2022JHyd..61428498K},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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