Publications related to the GRACE Missions (no abstracts)

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Reconstructing high–resolution groundwater level data using a hybrid random forest model to quantify distributed groundwater changes in the Indus Basin

Arshad, Arfan, Mirchi, Ali, Vilcaez, Javier, Umar Akbar, Muhammad, and Madani, Kaveh, 2024. Reconstructing high–resolution groundwater level data using a hybrid random forest model to quantify distributed groundwater changes in the Indus Basin. Journal of Hydrology, 628:130535, doi:10.1016/j.jhydrol.2023.130535.

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@ARTICLE{2024JHyd..62830535A,
       author = {{Arshad}, Arfan and {Mirchi}, Ali and {Vilcaez}, Javier and {Umar Akbar}, Muhammad and {Madani}, Kaveh},
        title = "{Reconstructing high-resolution groundwater level data using a hybrid random forest model to quantify distributed groundwater changes in the Indus Basin}",
      journal = {Journal of Hydrology},
     keywords = {Groundwater level, GRACE, machine learning (ML), Geostatistical method, Gap-filled data, Local covariates, Indus Basin},
         year = 2024,
        month = jan,
       volume = {628},
          eid = {130535},
        pages = {130535},
          doi = {10.1016/j.jhydrol.2023.130535},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2024JHyd..62830535A},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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