Publications related to the GRACE Missions (no abstracts)

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Performance analysis of the OS LISFLOOD hydrological model using nearly three decades of satellite laser ranging data

Gałdyn, Filip, Jensen, Laura, Zajdel, Radosław, Sośnica, Krzysztof, and Dobslaw, Henryk, 2026. Performance analysis of the OS LISFLOOD hydrological model using nearly three decades of satellite laser ranging data. Journal of Hydrology, 679:136231, doi:10.1016/j.jhydrol.2026.136231.

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@ARTICLE{2026JHyd..67936231G,
       author = {{Ga{\l}dyn}, Filip and {Jensen}, Laura and {Zajdel}, Rados{\l}aw and {So{\'s}nica}, Krzysztof and {Dobslaw}, Henryk},
        title = "{Performance analysis of the OS LISFLOOD hydrological model using nearly three decades of satellite laser ranging data}",
      journal = {Journal of Hydrology},
     keywords = {LISFLOOD, SLR, GRACE, Satellitegravimetry, TWS},
         year = 2026,
        month = oct,
       volume = {679},
          eid = {136231},
        pages = {136231},
     abstract = "{We evaluate the performance of the OS LISFLOOD hydrological model by
        comparing its terrestrial water storage (TWS) estimates with
        long-term geodetic benchmark products derived from Satellite
        Laser Ranging (SLR), GRACE, and DORIS, over the period 1995--
        2022. Our analysis focuses on the 100 largest river basins,
        assessing the model's ability to capture both seasonal and
        interannual variability. We find that OS LISFLOOD outperforms a
        model widely applied in geodetic studies, the Land Surface
        Discharge Model (LSDM) in representing large-scale TWS
        variations, particularly in tropical and subtropical basins and
        in seasonal and low-frequency dynamics of TWS. Comparisons with
        SLR-based gravity field models extend the evaluation into the
        pre-GRACE era (1995--2004), highlighting OS LISFLOOD's
        robustness in depicting long-term hydrological changes. We also
        find that combined SLR+GRACE and SLR+DORIS datasets provide
        useful long-term geodetic benchmarks for assessing hydrological
        model consistency, particularly in large tropical basins. This
        work contributes to advancing long-term reconstructions of the
        global water cycle and supports geodetic applications, including
        environmental loading corrections and studies of Earth rotation.
        The results emphasize the importance of high-resolution
        hydrological models in improving the accuracy of TWS simulations
        and their application to geophysical research.}",
          doi = {10.1016/j.jhydrol.2026.136231},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2026JHyd..67936231G},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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