GRACE and GRACE-FO Related Publications (no abstracts)

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Total water storage anomalies reconstruction using noise-augmented u-shaped network: A case study in the Yangtze River Basin

Wang, Jielong, Yang, Ling, Shen, Yunzhong, and Chen, Qiujie, 2024. Total water storage anomalies reconstruction using noise-augmented u-shaped network: A case study in the Yangtze River Basin. Computers and Geosciences, 183:105498, doi:10.1016/j.cageo.2023.105498.

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@ARTICLE{2024CG....18305498W,
       author = {{Wang}, Jielong and {Yang}, Ling and {Shen}, Yunzhong and {Chen}, Qiujie},
        title = "{Total water storage anomalies reconstruction using noise-augmented u-shaped network: A case study in the Yangtze River Basin}",
      journal = {Computers and Geosciences},
     keywords = {Deep learning, GRACE, Total water storage, Data augmentation},
         year = 2024,
        month = jan,
       volume = {183},
          eid = {105498},
        pages = {105498},
          doi = {10.1016/j.cageo.2023.105498},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2024CG....18305498W},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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