@COMMENT This file was generated by bib2html_grace.pl <https://sourceforge.net/projects/bib2html/> version 0.94
@COMMENT written by Patrick Riley <https://sourceforge.net/users/patstg/>
@COMMENT This file was prepared using the NASA Astrophysics Data System (ADS)
@COMMENT https://ui.adsabs.harvard.edu/
@ARTICLE{2026GeoJI.tmp..659L,
       author = {{Li}, Xianpao and {Zhong}, Bo and {Hu}, Jun and {Tang}, Guoli and {Li}, Jiancheng},
        title = "{Enhanced terrestrial water storage change estimation by joint inversion of GNSS and GRACE data with spatiotemporal constraints}",
      journal = {Geophysical Journal International},
         year = 2026,
        month = sep,
     abstract = "{Global Navigation Satellite System (GNSS) technology and Gravity
        Recovery and Climate Experiment (GRACE) satellite gravimetry
        provide essential observational constraints for monitoring
        terrestrial water storage (TWS) changes. In this study, we
        develop a spatiotemporally constrained joint inversion model
        that inverts GNSS and GRACE observations to estimate reliable
        TWS changes over Brazil from January 2008 to July 2016. We
        evaluate the performance of the spatiotemporally constrained
        joint inversion model using both closed-loop simulation and
        independent GNSS surface displacement observations. The
        simulation results indicate that the joint inversion results
        using spatiotemporal constraints outperform GNSS-only solutions,
        GRACE-only solutions, yielding improved accuracy and reliability
        than joint inversion results with spatial constraints. The
        corresponding standard deviations are 45.94 mm, 57.44 mm, 52.53
        mm, and 48.88 mm, respectively. Analysis from the measured data
        shows that vertical displacement time series simulated from TWS
        changes derived from spatiotemporally constrained joint
        inversion indicate higher consistency with GNSS-observed surface
        displacement time series at nine GNSS stations compared with the
        GNSS-only, GRACE-only (from CSR-M), and the joint inversion
        results with spatial constraints. The corresponding standard
        deviations and correlation coefficients are 1.93 mm \& 0.92,
        2.54 mm \& 0.87, 4.45 mm \& 0.74, and 1.94 mm \& 0.91,
        respectively. Meanwhile, the joint inversion results from
        measured GNSS and GRACE data using spatiotemporal constraints
        show lower uncertainty and higher stability than those of GNSS-
        only and joint inversion results with spatial constraints. The
        proposed inversion model provides an alternative means to fully
        exploit the potentials of GNSS and GRACE technologies for
        integrated monitoring of TWS changes.}",
          doi = {10.1093/gji/ggag380},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2026GeoJI.tmp..659L},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}