Mon Dec 15, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Nie, Yufeng, Chen, Jianli, Peng, Dongju, and Li, Jin, 2025. Inferring Long-Term Geocenter Motion From Low-Degree Gravity Field. Journal of Geophysical Research (Solid Earth), 130(8):e2024JB030327, doi:10.1029/2024JB030327.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025JGRB..13030327N,
author = {{Nie}, Yufeng and {Chen}, Jianli and {Peng}, Dongju and {Li}, Jin},
title = "{Inferring Long-Term Geocenter Motion From Low-Degree Gravity Field}",
journal = {Journal of Geophysical Research (Solid Earth)},
year = 2025,
month = aug,
volume = {130},
number = {8},
eid = {e2024JB030327},
pages = {e2024JB030327},
abstract = "{Accurate determination of geocenter motion is essential not only for
establishing a stable terrestrial reference frame, but also for
deriving a complete picture of large-scale global mass
redistribution in the Earth system. For geophysical
applications, reliable geocenter motions can be inferred from
time-variable gravity fields provided by the Gravity Recovery
and Climate Experiment (GRACE) since 2002, but it is more
challenging for the pre-GRACE era where only low-degree gravity
fields are available from the Satellite Laser Ranging (SLR). In
addition, geocenter motion estimates derived from SLR using the
direct method lack the trend in a linear reference frame and are
therefore generally not suitable for studying mass change rates.
In this study, we derive the geocenter motion from low-degree
gravity fields up to degree and order 5 after properly
addressing signal leakage. Using the leakage-corrected land mass
patterns combined with corresponding ocean mass fingerprints, we
generate geocenter motion estimates and compare them with those
derived from GRACE, geophysical models, and the SLR direct
method between 2002 and 2020. The trends in our estimates are
consistent with GRACE and models, with differences below
0.1{\ensuremath{\sim}}0.2 mm/yr depending on the quality of the
gravity field models, while the SLR direct estimates yield
opposite trends, leading to significantly underestimated global
ocean mass change rates. Our study provides the first promising
solution to derive long-term geocenter motion rates from low-
degree gravity fields, which can be used to track large-scale
mass change back to the 1990s.}",
doi = {10.1029/2024JB030327},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025JGRB..13030327N},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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