• Sorted by Date • Sorted by Last Name of First Author •
Li, Xianpao, Zhong, Bo, Hu, Jun, Tang, Guoli, and Li, Jiancheng, 2026. Enhanced terrestrial water storage change estimation by joint inversion of GNSS and GRACE data with spatiotemporal constraints. Geophysical Journal International, .
• from the NASA Astrophysics Data System • by the DOI System •
@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}
}
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