Mon Aug 24, F. Flechtner
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Xiong, Yuhao, Feng, Wei, Huang, Jun, Bai, Hongbing, Jian, Guangyu, and Zhong, Min, 2026. SYSU TWSA v1.0: global high–resolution terrestrial water storage anomalies via satellite gravimetry. Earth System Science Data, 18(7):4537–4561, doi:10.5194/essd-18-4537-2026.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2026ESSD...18.4537X,
author = {{Xiong}, Yuhao and {Feng}, Wei and {Huang}, Jun and {Bai}, Hongbing and {Jian}, Guangyu and {Zhong}, Min},
title = "{SYSU TWSA v1.0: global high-resolution terrestrial water storage anomalies via satellite gravimetry}",
journal = {Earth System Science Data},
year = 2026,
month = jul,
volume = {18},
number = {7},
pages = {4537-4561},
abstract = "{Publicly available global high-resolution terrestrial water storage
anomaly (TWSA) datasets derived from satellite gravimetry remain
scarce. Many existing global downscaling products rely heavily
on hydrological models. Consequently, their performance can
degrade in regions where key mass variations observed by the
Gravity Recovery and Climate Experiment (GRACE) and its
successor mission GRACE Follow-On (GFO) are poorly represented
in the models, notably those associated with mountain glaciers
and large lakes. Here we provide SYSU TWSA, a global monthly
0.5{\textdegree} TWSA dataset spanning April 2002 to December
2022, generated using a joint-inversion spatial downscaling
framework that integrates large-scale constraints from
GRACE/GFO, high-resolution spatial patterns from the WaterGAP
Global Hydrological Model (WGHM), and additional mascon groups
that explicitly represent mountain glaciers and selected large
or rapidly changing lakes. The dataset helps alleviate the
current shortage of global high-resolution products and
explicitly strengthens the representation of glacier- and lake-
related signals. We assess SYSU TWSA through four complementary
evaluations: (1) basin-wise consistency with raw GRACE/GFO
estimates, (2) a basin water-balance consistency check, (3) an
independent evaluation against in situ groundwater well
observations, and (4) comparisons with representative downscaled
products in both the spectral and spatial domains. SYSU TWSA
shows generally good agreement with GRACE/GFO at the basin
scale, with coefficients of determination (R2) exceeding 0.85
across basin-size classes. In small basins, consistency with
terrestrial water fluxes derived from the basin water-balance
equation improves substantially, with NSE increasing by 17.1 \%
relative to raw GRACE/GFO across 1200 basins. Agreement with
groundwater wells also improves, with correlations increasing at
67.7 \% of 28 248 wells. Comparisons with representative
assimilation-based and deep-learning downscaled products further
indicate that SYSU TWSA demonstrates competitive overall
accuracy while strengthening the representation of glacier- and
lake-related signals. The SYSU TWSA dataset is openly available
at the National Tibetan Plateau Data Center
(10.11888/Terre.tpdc.303322, Xiong et al., 2026).}",
doi = {10.5194/essd-18-4537-2026},
adsurl = {https://ui.adsabs.harvard.edu/abs/2026ESSD...18.4537X},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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Mon Aug 24, F. Flechtner