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@ARTICLE{2026AdSpR..77.5699W,
       author = {{Wu}, Tangting and {Luo}, Xinyu and {Chao}, Nengfang and {Lu}, Liguo and {Liu}, Zhanke and {Peng}, Yujie},
        title = "{Spatiotemporal characteristics analysis of GNSS-based terrestrial water storage anomalies in Xinjiang, China}",
      journal = {Advances in Space Research},
     keywords = {GNSS vertical displacement, Terrestrial water storage anomalies, GRACE/GRACE-FO, Spatiotemporal characteristics analysis, Xinjiang},
         year = 2026,
        month = mar,
       volume = {77},
       number = {5},
        pages = {5699-5716},
     abstract = "{China's Xinjiang has a vast territory, complex terrain, numerous
        disasters, and water scarcity. In the current global climate
        change context, accurate quantitative analysis on spatiotemporal
        characteristics of terrestrial water storage anomalies (TWSA) is
        significant for monitoring natural disasters triggered by
        extreme climate in Xinjiang. Therefore, this paper utilizes the
        global navigation satellite system (GNSS) vertical displacement
        data from February 2012 to June 2023 to invert terrestrial water
        storage anomalies and analyze its spatiotemporal characteristics
        in the Xinjiang region. The results reveal the following: (1)
        GNSS-based TWSA for this region maintains commendable
        consistency with TWSA data obtained from the Gravity Recovery
        and Climate Experiment (GRACE) and GRACE Follow-On (GRACE-FO),
        the Global Land Data Assimilation System (GLDAS), all of which
        show large annual amplitudes of TWSA in the high-altitude areas
        such as the northwest and southwest, and small annual amplitudes
        of TWSA in the central low-altitude plain areas; (2) Due to the
        greater sensitivity of GNSS observations to TWSA, the
        correlation between precipitation data and GNSS-TWSA has
        increased by approximately 10 \% compared to GRACE/GRACE-FO and
        GLDAS estimates. Additionally, the GNSS inversion results in
        this region demonstrate stronger amplitudes
        ({\ensuremath{\sim}}130 mm). GNSS observations contribute to a
        better understanding of TWSA in Xinjiang and globally and have
        significant potential applications in regional water resource
        management and extreme climate change monitoring.}",
          doi = {10.1016/j.asr.2025.12.100},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2026AdSpR..77.5699W},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}