Publications related to the GRACE Missions (no abstracts)

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Enhancing Aquifer Reliability and Resilience Assessment in Data-Scarce Regions Using Satellite Data: Application to the Chao Phraya River Basin

Sharma, Yaggesh Kumar, Mohanasundaram, S., Kim, Seokhyeon, Shrestha, Sangam, Babel, Mukand S., and Loc, Ho Huu, 2025. Enhancing Aquifer Reliability and Resilience Assessment in Data-Scarce Regions Using Satellite Data: Application to the Chao Phraya River Basin. Remote Sensing, 17(10):1731, doi:10.3390/rs17101731.

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@ARTICLE{2025RemS...17.1731S,
       author = {{Sharma}, Yaggesh Kumar and {Mohanasundaram}, S. and {Kim}, Seokhyeon and {Shrestha}, Sangam and {Babel}, Mukand S. and {Loc}, Ho Huu},
        title = "{Enhancing Aquifer Reliability and Resilience Assessment in Data-Scarce Regions Using Satellite Data: Application to the Chao Phraya River Basin}",
      journal = {Remote Sensing},
     keywords = {groundwater monitoring, aquifer reliability and resilience, satellite data analysis, gravity recovery and climate experiment, groundwater drought index},
         year = 2025,
        month = may,
       volume = {17},
       number = {10},
          eid = {1731},
        pages = {1731},
     abstract = "{There are serious ecological and environmental risks associated with
        groundwater level decline, particularly in areas with little in
        situ monitoring. In order to monitor and assess the resilience
        and dependability of groundwater storage, this paper proposes a
        solid methodology that combines data from land surface models
        and satellite gravimetry. In particular, the GRACE Groundwater
        Drought Index (GGDI) is used to analyze the estimated
        groundwater storage anomalies (GWSA) from the Gravity Recovery
        and Climate Experiment (GRACE) and the Global Land Data
        Assimilation System (GLDAS). Aquifer resilience, or the
        likelihood of recovery after stress, and aquifer reliability, or
        the long-term probability of remaining in a satisfactory state,
        are calculated using the core method. The two main components of
        the methodology are (a) calculating GWSA by subtracting the
        surface and soil moisture components from GLDAS, total water
        storage from GRACE, and comparing the results to in situ
        groundwater level data; and (b) standardizing GWSA time series
        to calculate GGDI and then estimating aquifer resilience and
        reliability based on predetermined threshold criteria. Using
        this framework, we validate GRACE-derived GWSA with in situ
        observations in eight sub-basins of the Chao Phraya River (CPR)
        basin, obtaining Pearson correlation coefficients greater than
        0.82. With all sub-basins displaying values below 35\%, the
        results raise significant questions about resilience and
        dependability. This method offers a framework that can be
        applied to assessments of groundwater sustainability worldwide.}",
          doi = {10.3390/rs17101731},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2025RemS...17.1731S},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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