@COMMENT This file was generated by bib2html_grace.pl <https://sourceforge.net/projects/bib2html/> version 0.94
@COMMENT written by Patrick Riley <https://sourceforge.net/users/patstg/>
@COMMENT This file was prepared using the NASA Astrophysics Data System (ADS)
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@ARTICLE{2026JHyd..67735856L,
       author = {{Li}, Huixiang and {Huang}, Zhiyong and {Zhang}, Qingquan and {Zhang}, Chong and {Ma}, Yalin and {Yang}, Jiawen and {Fourie}, Fanus and {Pan}, Yun},
        title = "{Reconciling model simulated and GRACE observed groundwater storage changes in Africa through coordinated forward modelling}",
      journal = {Journal of Hydrology},
     keywords = {GRACE, Land surface model, Groundwater storage change, Coordinated forward modelling, Africa},
         year = 2026,
        month = sep,
       volume = {677},
          eid = {135856},
        pages = {135856},
     abstract = "{Large-scale groundwater storage (GWS) changes are commonly inferred from
        either global hydrological/land surface models or Gravity
        Recovery and Climate Experiment (GRACE) observations, but
        systematic discrepancies between these approaches remain a major
        source of uncertainty, particularly in data-scarce regions where
        ground-truth is not available. Here, we apply a coordinated
        forward modelling (CoFM) framework to reconcile GWS changes from
        GRACE observations and global model simulations, to provide
        observation-constrained and robust estimates in Africa. The
        Catchment Land Surface Model (CLSM)-GRACE reconciled GWS changes
        show consistent agreement with groundwater level records from
        1,898 monitoring wells, with a regional mean correlation
        coefficient of 0.72 and positive correlations for 95\% of the
        wells at grid scale, revealing an increasing trend of 1.47
        {\ensuremath{\pm}} 0.25 mm/yr over Africa during 2003--2020. The
        reconciling significantly improves GRACE's ability in capturing
        GWS changes at finer scales, while reduces discrepancies among
        different model simulations. For example, despite of notable
        differences in simulated GWS trends of Congo basin from CLSM
        ({\ensuremath{-}}6.21 mm/yr) and WaterGAP Global Hydrological
        Model (0.21 mm/yr), the CoFM estimates (0.7 mm/yr and 2.7 mm/yr,
        respectively) remain comparable to Mascon solution (2.4 mm/yr).
        Thus, given the inherent limitations in GRACE resolution and
        model uncertainty, this study provides a new observation-
        constrained framework for robust GWS estimates at fine scales.}",
          doi = {10.1016/j.jhydrol.2026.135856},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2026JHyd..67735856L},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}