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Water scarcity indicator based on GRACE derived total water storage for fast water scarcity monitoring

Wolkeba, Fitsume T., Mekonnen, Mesfin M., and Brauman, Kate A., 2026. Water scarcity indicator based on GRACE derived total water storage for fast water scarcity monitoring. Journal of Hydrology, 671:135280, doi:10.1016/j.jhydrol.2026.135280.

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@ARTICLE{2026JHyd..67135280W,
       author = {{Wolkeba}, Fitsume T. and {Mekonnen}, Mesfin M. and {Brauman}, Kate A.},
        title = "{Water scarcity indicator based on GRACE derived total water storage for fast water scarcity monitoring}",
      journal = {Journal of Hydrology},
     keywords = {Water scarcity, Remote sensing, GRACE, Global hydrological model, Water availability},
         year = 2026,
        month = may,
       volume = {671},
          eid = {135280},
        pages = {135280},
     abstract = "{Robust indicators of water scarcity, which affects billions of people
        worldwide, are critical for management. This study introduces a
        novel water scarcity indicator based on remote sensing data,
        total water storage anomaly from the Gravity Recovery and
        Climate Experiment (GRACE). The proposed indicator provides a
        robust alternative to traditional blue-green water scarcity
        assessments derived from global hydrological models (GHMs),
        which are data-intensive to calculate and have substantial
        uncertainty. It demonstrates strong alignment, both at grid and
        basin scales, with seven established blue water scarcity
        indicators. The new indicator shows no statistically significant
        difference in estimating population (grid and basin MARE of
        1.4\% and 2.3\%, respectively) and land areas (grid MARE and F1
        score of 1.9\% and 0.66, respectively, and agreement on 53\% of
        basins) under water scarcity when compared to a blue water
        scarcity indicator that allocate 80\% of natural flow for
        environmental requirements. By introducing a streamlined, remote
        sensing-based metric that performs comparably to complex Global
        Hydrological Models (GHMs), this research enables more efficient
        and accessible global water scarcity assessments. A key
        advantage of this approach is its holistic integration of all
        water storage compartments, particularly soil moisture, into the
        total availability calculation, offering a more comprehensive
        view of the hydrological resources.}",
          doi = {10.1016/j.jhydrol.2026.135280},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2026JHyd..67135280W},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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