Publications related to the GRACE Missions (no abstracts)

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Remote Sensing-Based Multiscale Analysis of Total and Groundwater Storage Dynamics over Semi-Arid North African Basins

Amazirh, Abdelhakim, Ouassanouan, Youness, Bouimouass, Houssne, Baba, Mohamed Wassim, Bouras, El Houssaine, Rafik, Abdellatif, Benkirane, Myriam, Hajhouji, Youssef, Ablila, Youness, and Chehbouni, Abdelghani, 2024. Remote Sensing-Based Multiscale Analysis of Total and Groundwater Storage Dynamics over Semi-Arid North African Basins. Remote Sensing, 16(19):3698, doi:10.3390/rs16193698.

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@ARTICLE{2024RemS...16.3698A,
       author = {{Amazirh}, Abdelhakim and {Ouassanouan}, Youness and {Bouimouass}, Houssne and {Baba}, Mohamed Wassim and {Bouras}, El Houssaine and {Rafik}, Abdellatif and {Benkirane}, Myriam and {Hajhouji}, Youssef and {Ablila}, Youness and {Chehbouni}, Abdelghani},
        title = "{Remote Sensing-Based Multiscale Analysis of Total and Groundwater Storage Dynamics over Semi-Arid North African Basins}",
      journal = {Remote Sensing},
     keywords = {groundwater dynamics, GRACE, ERA5-Land, Mediterranean regions, water balance},
         year = 2024,
        month = oct,
       volume = {16},
       number = {19},
          eid = {3698},
        pages = {3698},
     abstract = "{This study evaluates the use of remote sensing data to improve the
        understanding of groundwater resources in climate-sensitive
        regions with limited data availability and increasing
        agricultural water demands. The research focuses on estimating
        groundwater reserve dynamics in two major river basins in
        Morocco, characterized by significant local variability. The
        study employs data from Gravity Recovery and Climate Experiment
        satellite (GRACE) and ERA5-Land reanalysis. Two GRACE
        terrestrial water storage (TWS) products, CSR Mascon and JPL
        Mascon (RL06), were analyzed, along with auxiliary datasets
        generated from ERA5-Land, including precipitation,
        evapotranspiration, and surface runoff. The results show that
        both GRACE TWS products exhibit strong correlations with
        groundwater reserves, with correlation coefficients reaching up
        to 0.96 in the Oum Er-rbia River Basin and 0.95 in the Tensift
        River Basin (TRB). The root mean square errors (RMSE) were 0.99
        cm and 0.88 cm, respectively. GRACE-derived groundwater storage
        (GWS) demonstrated a moderate correlation with observed
        groundwater levels in OERRB (R = 0.59, RMSE = 0.82), but a
        weaker correlation in TRB (R = 0.30, RMSE = 1.01). On the other
        hand, ERA5-Land-derived GWS showed a stronger correlation with
        groundwater levels in OERRB (R = 0.72, RMSE = 0.51) and a
        moderate correlation in TRB (R = 0.63, RMSE = 0.59). The
        findings suggest that ERA5-Land may provide more accurate
        assessments of groundwater storage anomalies, particularly in
        regions with significant local-scale variability in land and
        water use. High-resolution datasets like ERA5-land are,
        therefore, more recommended for addressing local-scale
        heterogeneity in regions with contrasted complexities in
        groundwater storage characteristics.}",
          doi = {10.3390/rs16193698},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2024RemS...16.3698A},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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