Publications related to the GRACE Missions (no abstracts)

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Spatiotemporal variability of terrestrial water storage over the Tibetan Plateau from the joint inversion of GNSS and GRACE observations

He, Meilin, Chen, Tao, Pan, Yuanjin, Jiao, Jiashuang, Wu, Qiwen, Lv, Yifei, and Jiang, Weiping, 2025. Spatiotemporal variability of terrestrial water storage over the Tibetan Plateau from the joint inversion of GNSS and GRACE observations. Scientific Reports, 15(1):27168, doi:10.1038/s41598-025-12635-x.

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@ARTICLE{2025NatSR..1527168H,
       author = {{He}, Meilin and {Chen}, Tao and {Pan}, Yuanjin and {Jiao}, Jiashuang and {Wu}, Qiwen and {Lv}, Yifei and {Jiang}, Weiping},
        title = "{Spatiotemporal variability of terrestrial water storage over the Tibetan Plateau from the joint inversion of GNSS and GRACE observations}",
      journal = {Scientific Reports},
     keywords = {GNSS and GRACE observations, Joint inversion, Terrestrial water storage, Extreme climatic event, Tibetan Plateau, Engineering, Geomatic Engineering},
         year = 2025,
        month = jul,
       volume = {15},
       number = {1},
          eid = {27168},
        pages = {27168},
     abstract = "{The Tibetan Plateau (TP), characterized by its unique regional features
        and geographical landscape, is a critical area for studying
        changes in terrestrial water storage (TWS), which are
        significantly influenced by global warming. In this study, we
        integrate data from the Global Navigation Satellite System
        (GNSS) and the Gravity Recovery and Climate Experiment (GRACE)
        to jointly estimate TWS variations in the TP and examine their
        spatiotemporal fluctuations in relation to large-scale climate
        patterns. To evaluate our approach, we conducted two synthetic
        tests, which showed that the root mean square errors (RMSEs) for
        the joint inversion were 23{\textendash}37\% lower than those
        for GNSS inversion, confirming the effectiveness of our method.
        When applied to real observational data, the joint inversion
        technique revealed that the spatial patterns and seasonal
        characteristics of TWS changes closely aligned with independent
        GRACE and Global Land Data Assimilation System (GLDAS) products,
        while offering more detailed insights into local hydrological
        processes. Notably, during the 2015/2016 El Ni{\~n}o event, the
        central and eastern TP experienced severe drought, primarily
        driven by precipitation anomalies
        (\raisebox{-0.5ex}\textasciitilde -150 mm) associated with
        extreme climate events, leading to a delayed hydrological
        response to the meteorological drought. Furthermore, we observed
        significant interannual variability across the TP sub-basins,
        with a moderate correlation with the El Ni{\~n}o/Southern
        Oscillation (ENSO) at a one-month lag. Our research highlights
        the potential of joint inversion using GNSS and GRACE to enhance
        TWS monitoring in the TP, providing more spatially detailed
        insights into water storage variability in response to climate
        change.}",
          doi = {10.1038/s41598-025-12635-x},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2025NatSR..1527168H},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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