Thu Apr 10, F. Flechtner
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Zhang, Xinggang, Jin, Shuanggen, and Lu, Xiaochun, 2017. Global Surface Mass Variations from Continuous GPS Observations and Satellite Altimetry Data. Remote Sensing, 9(10):1000, doi:10.3390/rs9101000.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2017RemS....9.1000Z,
author = {{Zhang}, Xinggang and {Jin}, Shuanggen and {Lu}, Xiaochun},
title = "{Global Surface Mass Variations from Continuous GPS Observations and Satellite Altimetry Data}",
journal = {Remote Sensing},
keywords = {GNSS, satellite altimetry, time-varying gravity field, mass redistribution},
year = 2017,
month = sep,
volume = {9},
number = {10},
eid = {1000},
pages = {1000},
abstract = "{The Gravity Recovery and Climate Experiment (GRACE) mission is able to
observe the global large-scale mass and water cycle for the
first time with unprecedented spatial and temporal resolution.
However, no other time-varying gravity fields validate GRACE.
Furthermore, the C$_{20}$ of GRACE is poor, and no GRACE data
are available before 2002 and there will likely be a gap between
the GRACE and GRACE-FOLLOW-ON mission. To compensate for GRACE's
shortcomings, in this paper, we provide an alternative way to
invert Earth's time-varying gravity field, using a priori degree
variance as a constraint on amplitudes of Stoke's coefficients
up to degree and order 60, by combining continuous GPS
coordinate time series and satellite altimetry (SA) mean sea
level anomaly data from January 2003 to December 2012. Analysis
results show that our estimated zonal low-degree gravity
coefficients agree well with those of GRACE, and large-scale
mass distributions are also investigated and assessed. It was
clear that our method effectively detected global large-scale
mass changes, which is consistent with GRACE observations and
the GLDAS model, revealing the minimums of annual water cycle in
the Amazon in September and October. The global mean mass
uncertainty of our solution is about two times larger than that
of GRACE after applying a Gaussian spatial filter with a half
wavelength at 500 km. The sensitivity analysis further shows
that ground GPS observations dominate the lower-degree
coefficients but fail to contribute to the higher-degree
coefficients, while SA plays a complementary role at higher-
degree coefficients. Consequently, a comparison in both the
spherical harmonic and geographic domain confirms our global
inversion for the time-varying gravity field from GPS and
Satellite Altimetry.}",
doi = {10.3390/rs9101000},
adsurl = {https://ui.adsabs.harvard.edu/abs/2017RemS....9.1000Z},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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