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Improving the Accuracy of Groundwater Storage Estimates Based on Groundwater Weighted Fusion Model

Su, Kai, Zheng, Wei, Yin, Wenjie, Hu, Litang, and Shen, Yifan, 2022. Improving the Accuracy of Groundwater Storage Estimates Based on Groundwater Weighted Fusion Model. Remote Sensing, 14(1):202, doi:10.3390/rs14010202.

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@ARTICLE{2022RemS...14..202S,
       author = {{Su}, Kai and {Zheng}, Wei and {Yin}, Wenjie and {Hu}, Litang and {Shen}, Yifan},
        title = "{Improving the Accuracy of Groundwater Storage Estimates Based on Groundwater Weighted Fusion Model}",
      journal = {Remote Sensing},
     keywords = {groundwater weighted fusion model, GRACE, Hexi corridor, ETC, groundwater storage},
         year = 2022,
        month = jan,
       volume = {14},
       number = {1},
          eid = {202},
        pages = {202},
     abstract = "{It is an effective measure to estimate groundwater storage anomalies
        (GWSA) by combining Gravity Recovery and Climate Experiment
        (GRACE) data and hydrological models. However, GWSA results
        based on a single hydrological model and GRACE data may have
        greater uncertainties, and it is difficult to verify in some
        regions where in situ groundwater-level measurements are
        limited. First, to solve this problem, a groundwater weighted
        fusion model (GWFM) is presented, based on the extended triple
        collocation (ETC) method. Second, the Shiyang River Basin (SYRB)
        is taken as an example, and in situ groundwater-level
        measurements are used to evaluate the performance of the GWFM.
        The comparison indicates that the correlation coefficient (CC)
        and Nash-Sutcliffe efficiency coefficient (NSE) are increased by
        9-40\% and 23-657\%, respectively, relative to the original
        results. Moreover, the root mean squared error (RMSE) is reduced
        by 9-28\%, which verifies the superiority of the GWFM. Third,
        the spatiotemporal distribution and influencing factors of GWSA
        in the Hexi Corridor (HC) are comprehensively analyzed during
        the period between 2003 and 2016. The results show that GWSA
        decline, with a trend of -2.37 {\ensuremath{\pm}} 0.38 mm/yr
        from 2003 to 2010, and the downward trend after 2011 (-0.46
        {\ensuremath{\pm}} 1.35 mm/yr) slow down significantly compared
        to 2003-2010. The spatial distribution obtained by the GWFM is
        more reliable compared to the arithmetic average results, and
        GWFM-based GWSA fully retain the advantages of different models,
        especially in the southeastern part of the SYRB. Additionally, a
        simple index is used to evaluate the contributions of climatic
        factors and human factors to groundwater storage (GWS) in the HC
        and its different subregions. The index indicates that climate
        factors occupy a dominant position in the SLRB and SYRB, while
        human factors have a significant impact on GWS in the Heihe
        River Basin (HRB). This study can provide suggestions for the
        management and assessments of groundwater resources in some arid
        regions.}",
          doi = {10.3390/rs14010202},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2022RemS...14..202S},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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