Publications related to the GRACE Missions (no abstracts)

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Benchmarking Multimodel Terrestrial Water Storage Seasonal Cycle Against Gravity Recovery And Climate Experiment (Grace) Observations Over Major Global River Basins

Bibi, Sadia, Zhu, Tingju, Rateb, Ashraf, Scanlon, Bridget R., Aqeel Kamran, Muhammad, Elnashar, Abdelrazek, Bennour, Ali, and Li, Ci, 2024. Benchmarking Multimodel Terrestrial Water Storage Seasonal Cycle Against Gravity Recovery And Climate Experiment (Grace) Observations Over Major Global River Basins. Hydrology and Earth System Sciences, 28:1725–1750, doi:10.5194/hess-28-1725-2024.

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BibTeX

@ARTICLE{2024HESS...28.1725B,
       author = {{Bibi}, Sadia and {Zhu}, Tingju and {Rateb}, Ashraf and {Scanlon}, Bridget R. and {Aqeel Kamran}, Muhammad and {Elnashar}, Abdelrazek and {Bennour}, Ali and {Li}, Ci},
        title = "{Benchmarking Multimodel Terrestrial Water Storage Seasonal Cycle Against Gravity Recovery And Climate Experiment (Grace) Observations Over Major Global River Basins}",
      journal = {Hydrology and Earth System Sciences},
         year = 2024,
        month = apr,
       volume = {28},
        pages = {1725-1750},
     abstract = "{The increasing reliance on global models for evaluating climate- and
        human-induced impacts on the hydrological cycle underscores the
        importance of assessing the models' reliability. Hydrological
        models provide valuable data on ungauged river basins or basins
        with limited gauge networks. The objective of this study was to
        evaluate the reliability of 13 global models using the Gravity
        Recovery and Climate Experiment (GRACE) satellite's total water
        storage (TWS) seasonal cycle for 29 river basins in different
        climate zones. Results show that the simulated seasonal total
        water storage change (TWSC) does not compare well with GRACE
        even in basins within the same climate zone. The models
        overestimated the seasonal peak in most boreal basins and
        underestimated it in tropical, arid, and temperate zones. In
        cold basins, the modeled phase of TWSC precedes that of GRACE by
        up to 2-3 months. However, it lagged behind that of GRACE by 1
        month over temperate and arid to semi-arid basins. The phase
        agreement between GRACE and the models was good in the tropical
        zone. In some basins with major underlying aquifers, those
        models that incorporate groundwater simulations provide a better
        representation of the water storage dynamics. With the findings
        and analysis of our study, we concluded that R2 (Water Resource
        Reanalysis tier 2 forced with Multi-Source Weighted Ensemble
        Precipitation (MSWEP) dataset) models with optimized
        parameterizations have a better correlation with GRACE than the
        reverse scenario (R1 models are Water Resource Reanalysis tier 1
        and tier 2 forced with the ERA-Interim (WFDEI) meteorological
        reanalysis dataset). This signifies an enhancement in the
        predictive capability of models regarding the variability of
        TWSC. The seasonal peak, amplitude, and phase difference
        analyses in this study provide new insights into the future
        improvement of large-scale hydrological models and TWS
        investigations.}",
          doi = {10.5194/hess-28-1725-2024},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2024HESS...28.1725B},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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