• Sorted by Date • Sorted by Last Name of First Author •
Wu, Tangting, Luo, Xinyu, Chao, Nengfang, Lu, Liguo, Liu, Zhanke, and Peng, Yujie, 2026. Spatiotemporal characteristics analysis of GNSS–based terrestrial water storage anomalies in Xinjiang, China. Advances in Space Research, 77(5):5699–5716, doi:10.1016/j.asr.2025.12.100.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2026AdSpR..77.5699W,
author = {{Wu}, Tangting and {Luo}, Xinyu and {Chao}, Nengfang and {Lu}, Liguo and {Liu}, Zhanke and {Peng}, Yujie},
title = "{Spatiotemporal characteristics analysis of GNSS-based terrestrial water storage anomalies in Xinjiang, China}",
journal = {Advances in Space Research},
keywords = {GNSS vertical displacement, Terrestrial water storage anomalies, GRACE/GRACE-FO, Spatiotemporal characteristics analysis, Xinjiang},
year = 2026,
month = mar,
volume = {77},
number = {5},
pages = {5699-5716},
abstract = "{China's Xinjiang has a vast territory, complex terrain, numerous
disasters, and water scarcity. In the current global climate
change context, accurate quantitative analysis on spatiotemporal
characteristics of terrestrial water storage anomalies (TWSA) is
significant for monitoring natural disasters triggered by
extreme climate in Xinjiang. Therefore, this paper utilizes the
global navigation satellite system (GNSS) vertical displacement
data from February 2012 to June 2023 to invert terrestrial water
storage anomalies and analyze its spatiotemporal characteristics
in the Xinjiang region. The results reveal the following: (1)
GNSS-based TWSA for this region maintains commendable
consistency with TWSA data obtained from the Gravity Recovery
and Climate Experiment (GRACE) and GRACE Follow-On (GRACE-FO),
the Global Land Data Assimilation System (GLDAS), all of which
show large annual amplitudes of TWSA in the high-altitude areas
such as the northwest and southwest, and small annual amplitudes
of TWSA in the central low-altitude plain areas; (2) Due to the
greater sensitivity of GNSS observations to TWSA, the
correlation between precipitation data and GNSS-TWSA has
increased by approximately 10 \% compared to GRACE/GRACE-FO and
GLDAS estimates. Additionally, the GNSS inversion results in
this region demonstrate stronger amplitudes
({\ensuremath{\sim}}130 mm). GNSS observations contribute to a
better understanding of TWSA in Xinjiang and globally and have
significant potential applications in regional water resource
management and extreme climate change monitoring.}",
doi = {10.1016/j.asr.2025.12.100},
adsurl = {https://ui.adsabs.harvard.edu/abs/2026AdSpR..77.5699W},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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