Thu Apr 10, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Liu, Bin, Yu, Wenkun, Dai, Wujiao, Xing, Xuemin, and Kuang, Cuilin, 2022. Estimation of Terrestrial Water Storage Variations in Sichuan-Yunnan Region from GPS Observations Using Independent Component Analysis. Remote Sensing, 14(2):282, doi:10.3390/rs14020282.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2022RemS...14..282L,
author = {{Liu}, Bin and {Yu}, Wenkun and {Dai}, Wujiao and {Xing}, Xuemin and {Kuang}, Cuilin},
title = "{Estimation of Terrestrial Water Storage Variations in Sichuan-Yunnan Region from GPS Observations Using Independent Component Analysis}",
journal = {Remote Sensing},
keywords = {terrestrial water storage, GPS inversion, hydrological deformation, independent component analysis},
year = 2022,
month = jan,
volume = {14},
number = {2},
eid = {282},
pages = {282},
abstract = "{GPS can be used to measure land motions induced by mass loading
variations on the Earth's surface. This paper presents an
independent component analysis (ICA)-based inversion method that
uses vertical GPS coordinate time series to estimate the change
of terrestrial water storage (TWS) in the Sichuan-Yunnan region
in China. The ICA method was applied to extract the hydrological
deformation signals from the vertical coordinate time series of
GPS stations in the Sichuan-Yunnan region from the Crustal
Movement Observation Network of China (CMONC). These vertical
deformation signals were then inverted to TWS variations.
Comparative experiments were conducted based on Gravity Recovery
and Climate Experiment (GRACE) data and a hydrological model for
validation. The results demonstrate that the TWS changes
estimated from GPS(ICA) deformations are highly correlated with
the water variations derived from the GRACE data and
hydrological model in Sichuan-Yunnan region. The TWS variations
are overestimated by the vertical GPS observations the
northwestern Sichuan-Yunnan region. The anomalies are likely
caused by inaccurate atmospheric loading correction models or
residual tropospheric errors in the region with high topographic
variability and can be reduced by ICA preprocessing.}",
doi = {10.3390/rs14020282},
adsurl = {https://ui.adsabs.harvard.edu/abs/2022RemS...14..282L},
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
Thu Apr 10, 2025 10:40:58
GRACE-FO
Thu Apr 10, F. Flechtner