Mon Aug 24, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Li, Zilong, Mu, Zhenxia, Liu, Jing, and Qiu, Xiaoyan, 2026. Reconstruction and evolution analysis of long–term terrestrial water storage anomalies in Xinjiang based on time series decomposition and multi–model coupling. Journal of Hydrology, 677:136007, doi:10.1016/j.jhydrol.2026.136007.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2026JHyd..67736007L,
author = {{Li}, Zilong and {Mu}, Zhenxia and {Liu}, Jing and {Qiu}, Xiaoyan},
title = "{Reconstruction and evolution analysis of long-term terrestrial water storage anomalies in Xinjiang based on time series decomposition and multi-model coupling}",
journal = {Journal of Hydrology},
keywords = {GRACE/GRACE-FO, Terrestrial water storage anomalies, Component decomposition and reconstruction, VIC Model, Xinjiang},
year = 2026,
month = sep,
volume = {677},
eid = {136007},
pages = {136007},
abstract = "{The Gravity Recovery and Climate Experiment (GRACE) and its successor
GRACE Follow-On (GRACE-FO) provide a new observational method
for monitoring large-scale Terrestrial Water Storage Anomalies
(TWSA). However, existing TWSA records cover only the period
since 2002 and exhibit mission discontinuities, which limits
their applicability in studies of long-term hydrological
changes. Therefore, this study proposes a TWSA component
reconstruction framework coupled with time-series decomposition,
the VIC hydrological model and machine learning to reconstruct a
monthly-scale TWSA dataset at a resolution of
0.25{\textdegree}{\texttimes}0.25{\textdegree} from 1961 to 2022
in Xinjiang, and to verify its reliability using JPL and CSR
Mascon products and multi-source observation data. The main
findings of this study include: (1) During the GRACE observation
period, the reconstructed TWSA exhibits high consistency with
CSR-Mascon and JPL-Mascon in spatiotemporal distributions:
approximately 70\% of grids have CC > 0.6, over 60\% have NSE >
0.6, and more than 80\% of grid cells have RMSE < 15 cm and DISO
< 6. (2) Independent validation based on groundwater-level
observations showed that the standardized reconstructed
groundwater storage anomalies derived from reconstructed TWSA
were positively correlated with standardized groundwater-level
anomalies in all groundwater-validation grids (CC = 0.23--0.81),
indicating that the reconstructed results can generally
characterize the temporal consistency of groundwater variations.
Meanwhile, the reconstructed TWSA shows strong correlations (CC
> 0.60) with CNRD v1.0 and TerraClimate runoff depth in 57\% and
85\% of the areas, respectively, with local CCs exceeding 0.85,
indicating that the reconstructed TWSA can reasonably reflect
the hydrological response characteristics of runoff variations.
(3) Reconstruction results show that the TWSA in Xinjiang
exhibited a predominantly downward trend from 1961 to 2022, with
60.8\% of the study area showing a downward trend. The intra-
annual variation shows a surplus in winter and deficits in
spring and summer, and the seasonal amplitude and long-term
trend exhibit significant spatial heterogeneity. The
reconstructed long-term TWSA dataset provides a data foundation
for diagnosing water storage evolution, monitoring hydrological
droughts, and assessing water resources in Xinjiang.}",
doi = {10.1016/j.jhydrol.2026.136007},
adsurl = {https://ui.adsabs.harvard.edu/abs/2026JHyd..67736007L},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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