Publications related to the GRACE Missions (no abstracts)

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Reconstructing Total Water Storage Anomalies Over the Lake Victoria Basin (1971–2022) Using an Enhanced RecNet Model

Wang, Jielong, Shen, Yunzhong, Awange, Joseph, Song, Yongze, Yang, Ling, Chen, Qiujie, and Kasedde, Allan, 2025. Reconstructing Total Water Storage Anomalies Over the Lake Victoria Basin (1971–2022) Using an Enhanced RecNet Model. Geophysical Research Letters, 52(9):e2024GL114005, doi:10.1029/2024GL114005.

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@ARTICLE{2025GeoRL..5214005W,
       author = {{Wang}, Jielong and {Shen}, Yunzhong and {Awange}, Joseph and {Song}, Yongze and {Yang}, Ling and {Chen}, Qiujie and {Kasedde}, Allan},
        title = "{Reconstructing Total Water Storage Anomalies Over the Lake Victoria Basin (1971-2022) Using an Enhanced RecNet Model}",
      journal = {\grl},
         year = 2025,
        month = may,
       volume = {52},
       number = {9},
          eid = {e2024GL114005},
        pages = {e2024GL114005},
     abstract = "{Relatively short records of Total Water Storage Anomalies (TWSA) from
        the Gravity Recovery and Climate Experiment (GRACE) and its
        Follow-On (GRACE-FO) missions have impeded our understanding of
        their full range and long-term variability over the Lake
        Victoria Basin (LVB). This study introduces an Enhanced RecNet
        (ERecNet) to reconstruct the LVB's TWSA from 1971 to 2022 using
        precipitation and Lake Victoria's level data. ERecNet integrates
        a multi-layer perceptron and a combination of gridded and basin-
        averaged loss functions for improving reconstruction
        performance. Our results reveal that ERecNet can successfully
        reconstruct the LVB's TWSA variations, outperforming
        hydrological models and reanalysis products in capturing the
        TWSA trends and amplitudes. The reconstruction aligns closely
        with the lake level and precipitation patterns while effectively
        closing the LVB's water balance budget. This study provides the
        first reconstruction of both human- and climate-driven TWSA data
        over the LVB, offering valuable insights into its long-term
        hydrological variability.}",
          doi = {10.1029/2024GL114005},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2025GeoRL..5214005W},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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