• Sorted by Date • Sorted by Last Name of First Author •
Lin, Fei, Sun, Yu, Tangdamrongsub, Natthachet, Zheng, Shuo, and Zhang, Bao, 2026. Implications of phase information from GPS and GRACE(FO) for identifying GPS stations influenced by poroelastic deformation. Journal of Geodesy, 100(2):9, doi:10.1007/s00190-026-02031-2.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2026JGeod.100....9L,
author = {{Lin}, Fei and {Sun}, Yu and {Tangdamrongsub}, Natthachet and {Zheng}, Shuo and {Zhang}, Bao},
title = "{Implications of phase information from GPS and GRACE(FO) for identifying GPS stations influenced by poroelastic deformation}",
journal = {Journal of Geodesy},
keywords = {Poroelastic deformation, Load-induced crustal elastic deformation, Terrestrial water storage, Aquifer system, Engineering, Geomatic Engineering},
year = 2026,
month = feb,
volume = {100},
number = {2},
eid = {9},
pages = {9},
abstract = "{Phase information from vertical land motion observed by the Global
Positioning System (GPS) and predicted by Gravity Recovery and
Climate Experiment (GRACE) and GRACE Follow-On (GRACE-FO) has
untapped potential for advancing hydrological and geophysical
studies. After correcting for effects of glacial isostatic
adjustment, non-tidal oceanic and atmospheric loading using
existing models, GPS observations reflect both elastic
deformation due to hydrological loading and poroelastic
deformation in some aquifer regions. In contrast, GRACE(FO) data
are sensitive only to mass changes and thus provide a good
reference of elastic loading deformation. Over aquifer systems,
discrepancies in the annual phase of vertical displacement
between GPS and GRACE(FO) can therefore reveal where deformation
is not explained by elastic loading alone but must also be
influenced by poroelastic effects. In this study, we explore
this phase difference as a diagnostic tool to identify GPS
stations influenced by poroelastic deformation. By comparing the
annual phases of GPS observation and GRACE(FO)-predicted elastic
loading deformation, we establish a threshold-based criterion
for identifying poroelastically influenced stations. We applied
this method to the Central Valley of California and validated
the results using in-situ well observations and a terrestrial
water storage inversion based on GPS data. This phase-based
identification method not only provides a simple, robust, and
physically interpretable method for identifying GPS stations
affected by poroelastic deformation but also highlights the
broader potential of exploiting GPS and GRACE(FO) phase
information in hydrological and geophysical studies.}",
doi = {10.1007/s00190-026-02031-2},
adsurl = {https://ui.adsabs.harvard.edu/abs/2026JGeod.100....9L},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
Generated by
bib2html_grace.pl
(written by Patrick Riley
modified for this page by Volker Klemann) on
Fri Apr 10, 2026 11:13:49
GRACE-FO
Fri Apr 10, F. Flechtner![]()