GRACE and GRACE-FO Related Publications (no abstracts)

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Water Budget Analysis within the Surrounding of Prominent Lakes and Reservoirs from Multi-Sensor Earth Observation Data and Hydrological Models: Case Studies of the Aral Sea and Lake Mead

Singh, Alka, Seitz, Florian, Eicker, Annette, and Güntner, Andreas, 2016. Water Budget Analysis within the Surrounding of Prominent Lakes and Reservoirs from Multi-Sensor Earth Observation Data and Hydrological Models: Case Studies of the Aral Sea and Lake Mead. Remote Sensing, 8(11):953, doi:10.3390/rs8110953.

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@ARTICLE{2016RemS....8..953S,
       author = {{Singh}, Alka and {Seitz}, Florian and {Eicker}, Annette and {G{\"u}ntner}, Andreas},
        title = "{Water Budget Analysis within the Surrounding of Prominent Lakes and Reservoirs from Multi-Sensor Earth Observation Data and Hydrological Models: Case Studies of the Aral Sea and Lake Mead}",
      journal = {Remote Sensing},
     keywords = {GRACE, water budget, reservoir, water fluxes, GLDAS, WGHM, Aral Sea, Lake Mead},
         year = 2016,
        month = nov,
       volume = {8},
       number = {11},
          eid = {953},
        pages = {953},
     abstract = "{The hydrological budget of a region is determined based on the
        horizontal and vertical water fluxes acting in both inward and
        outward directions. These integrated water fluxes vary, altering
        the total water storage and consequently the gravitational force
        of the region. The time-dependent gravitational field can be
        observed through the Gravity Recovery and Climate Experiment
        (GRACE) gravimetric satellite mission, provided that the mass
        variation is above the sensitivity of GRACE. This study
        evaluates mass changes in prominent reservoir regions through
        three independent approaches viz. fluxes, storages, and gravity,
        by combining remote sensing products, in-situ data and
        hydrological model outputs using WaterGAP Global Hydrological
        Model (WGHM) and Global Land Data Assimilation System (GLDAS).
        The results show that the dynamics revealed by the GRACE signal
        can be better explored by a hybrid method, which combines remote
        sensing-based reservoir volume estimates with hydrological model
        outputs, than by exclusive model-based storage estimates. For
        the given arid/semi-arid regions, GLDAS based storage
        estimations perform better than WGHM.}",
          doi = {10.3390/rs8110953},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2016RemS....8..953S},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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