GRACE and GRACE-FO Related Publications (no abstracts)

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Enhancing groundwater management with GRACE-based groundwater estimates from GLDAS-2.2: a case study of the Almonte-Marismas aquifer, Spain

Guardiola-Albert, C., Naranjo-Fernández, N., Rivera-Rivera, J. S., Gómez Fontalva, J. M., Aguilera, H., Ruiz-Bermudo, F., and Rodríguez-Rodríguez, M., 2024. Enhancing groundwater management with GRACE-based groundwater estimates from GLDAS-2.2: a case study of the Almonte-Marismas aquifer, Spain. Hydrogeology Journal, 32(7):1833–1852, doi:10.1007/s10040-024-02838-3.

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@ARTICLE{2024HydJ...32.1833G,
       author = {{Guardiola-Albert}, C. and {Naranjo-Fern{\'a}ndez}, N. and {Rivera-Rivera}, J.~S. and {G{\'o}mez Fontalva}, J.~M. and {Aguilera}, H. and {Ruiz-Bermudo}, F. and {Rodr{\'i}guez-Rodr{\'i}guez}, M.},
        title = "{Enhancing groundwater management with GRACE-based groundwater estimates from GLDAS-2.2: a case study of the Almonte-Marismas aquifer, Spain}",
      journal = {Hydrogeology Journal},
     keywords = {Spain, Global Land Data Assimilation (GLDAS), Gravity Recovery and Climate Experiment (GRACE), Groundwater management, Groundwater monitoring},
         year = 2024,
        month = nov,
       volume = {32},
       number = {7},
        pages = {1833-1852},
     abstract = "{The Almonte-Marismas aquifer, southwestern Spain, is a critical
        ecohydrogeological system that features extensive groundwater
        monitoring. This study investigates the utility of gravity
        recovery and climate experiment (GRACE) satellite data,
        specifically obtained from the global land data assimilation
        system (GLDAS) version 2.2, for assessing groundwater storage
        variations in the Almonte-Marismas aquifer. The presented
        research emphasizes the practical application of readily
        available GLDAS products that do not require data preprocessing.
        The study validates the GLDAS-2.2-based ready-to-use groundwater
        storage (GWS) time series by correlating it with precipitation
        and piezometric information, highlighting its effectiveness in
        medium-scale aquifers. The results reveal a strong agreement
        between GLDAS-2.2-derived GWS anomalies and in-situ
        measurements, confirming GLDAS-2.2's potential for assessing
        aquifer depletion. The study discusses the consistency of
        seasonal variations in groundwater levels and GLDAS-2.2 data,
        emphasizing their close alignment with precipitation and pumping
        activities. Importantly, the study introduces GLDAS-2.2-derived
        volumetric groundwater storage (VGWS) as a valuable calibration
        parameter for numerical groundwater flow models, enhancing their
        accuracy over time. Moreover, the analysis reveals disparities
        in annual recharge values between GLDAS-2.2-derived data and the
        soil-water mass balance. These variations suggest the importance
        of additional inputs to precipitation, possibly related to
        subsurface or lateral connections. Overall, this study
        contributes to the ongoing discourse on the practical
        applications of GLDAS-2.2-derived GWS data in groundwater
        management, offering insights into its effectiveness in diverse
        hydrogeological settings, particularly in areas that lack
        monitoring infrastructure.}",
          doi = {10.1007/s10040-024-02838-3},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2024HydJ...32.1833G},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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