Fri Apr 10, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Abbaszadeh, Majid and van Dam, Tonie, 2026. GNSS evaluation of GRACE–assimilated water storage models over 89 river basins worldwide. Scientific Reports, 16(1):4307, doi:10.1038/s41598-025-31887-1.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2026NatSR..16.4307A,
author = {{Abbaszadeh}, Majid and {van Dam}, Tonie},
title = "{GNSS evaluation of GRACE-assimilated water storage models over 89 river basins worldwide}",
journal = {Scientific Reports},
keywords = {Hydrological loading, GNSS, GRACE, Data assimilation, Engineering, Geomatic Engineering, Earth Sciences, Physical Geography and Environmental Geoscience},
year = 2026,
month = jan,
volume = {16},
number = {1},
eid = {4307},
pages = {4307},
abstract = "{The gravity recovery and climate experiment (GRACE) and GRACE follow-on
(GFO) gravity observations have significantly improved our
understanding of the terrestrial water cycle. However, GRACE-
assimilated (GA) hydrological models still differ significantly.
This paper uses global navigation satellite system (GNSS) data
to assess two global GA datasets: Global land water storage
release 2 (GLWS2.0) and catchment land surface model GRACE data
assimilation (CLSM-DA). From 2004 to 2019, the mean annual
amplitude of equivalent water thickness (EWT) of these datasets
differs by more than 25 mm over 40\% of the modeled land area,
and the timing of peak water storage diverges by as much as
30-days across 50\% of their domain. We compare the modeled
hydrological loading vertical displacement predicted from these
models with GNSS uplift data to compare and contrast the model
quality. Using river basin boundary information from 89 rivers,
we cluster 9,163 global GNSS stations, each with at least three
years of daily data. Results show that CLSM-DA generally agrees
better with GNSS data across more river basins. Its 100─300 mm
larger annual water variation accounts for better agreement in
Africa, Southeast Asia, and parts of South America. In regions
like the Western United States and Eastern Europe, where both
models estimate similar annual amplitudes, CLSM-DA's 30─60 day
phase delay improves alignment with GNSS. This evaluation also
reveals key limitations in both models, especially during
extreme hydrological events such as droughts, and highlights the
value of geodetic observations in advancing GA hydrological
modeling.}",
doi = {10.1038/s41598-025-31887-1},
adsurl = {https://ui.adsabs.harvard.edu/abs/2026NatSR..16.4307A},
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