Publications related to the GRACE Missions (no abstracts)

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Using Integrated Geodetic Data for Enhanced Monitoring of Drought Characteristics Across Four Provinces and Municipalities in Southwest China

Lu, Liguo, Luo, Xinyu, Chao, Nengfang, Wu, Tangting, and Liu, Zhanke, 2025. Using Integrated Geodetic Data for Enhanced Monitoring of Drought Characteristics Across Four Provinces and Municipalities in Southwest China. Remote Sensing, 17(3):397, doi:10.3390/rs17030397.

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@ARTICLE{2025RemS...17..397L,
       author = {{Lu}, Liguo and {Luo}, Xinyu and {Chao}, Nengfang and {Wu}, Tangting and {Liu}, Zhanke},
        title = "{Using Integrated Geodetic Data for Enhanced Monitoring of Drought Characteristics Across Four Provinces and Municipalities in Southwest China}",
      journal = {Remote Sensing},
     keywords = {GNSS vertical displacement, terrestrial water storage, GRACE/GFO, joint inversion, drought events},
         year = 2025,
        month = jan,
       volume = {17},
       number = {3},
          eid = {397},
        pages = {397},
     abstract = "{This paper presents an analysis of regional terrestrial water storage
        (TWS) changes and drought characteristics in Southwest China,
        encompassing Sichuan Province, Chongqing Municipality, Yunnan
        Province, and Guizhou Province. Existing geodetic datasets, such
        as those from the Gravity Recovery and Climate Experiment
        (GRACE) and its successor satellites (GRACE Follow-On), as well
        as Global Navigation Satellite System (GNSS) data, face
        significant challenges related to limited spatial resolution and
        insufficient station distribution. To address these issues, we
        propose a novel inversion method that integrates GNSS and
        GRACE/GFO data by establishing virtual stations for GRACE/GFO
        data and determining the weight values between GNSS and
        GRACE/GFO using the Akaike Bayesian Information Criterion
        (ABIC). This method allows for estimating the TWS changes from
        December 2010 to June 2023 and monitoring drought conditions in
        conjunction with hydrometeorological data (precipitation,
        evapotranspiration, and runoff). The results show strong
        correlations between TWS changes from the joint inversion and
        GNSS (0.98) and GRACE/GFO (0.69). The Joint Drought Severity
        Index (Joint-DSI) indicates five major drought events, with the
        most severe occurring from July 2022 to June 2023, with an
        average deficit of 86.133 km{\textthreesuperior}. Extreme
        drought primarily impacts Sichuan and Yunnan, driven by abnormal
        precipitation deficits. The joint inversion methodology
        presented in this study provides a practical approach for
        monitoring TWS changes and assessing drought characteristics in
        Southwest China. This paper leverages the complementary
        strengths of GNSS and GRACE/GFO data and offers new insights
        into regional water resource management and drought detection.}",
          doi = {10.3390/rs17030397},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2025RemS...17..397L},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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