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Mei, Changlin, Sun, Yu, and Li, Yang, 2025. Low-Degree Spherical Harmonic Coefficients for GRACE/GRACE-FO Gravity Field Models From the Fingerprint Approach. Journal of Geophysical Research (Solid Earth), 130(7):e2024JB029792, doi:10.1029/2024JB029792.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025JGRB..13029792M,
author = {{Mei}, Changlin and {Sun}, Yu and {Li}, Yang},
title = "{Low-Degree Spherical Harmonic Coefficients for GRACE/GRACE-FO Gravity Field Models From the Fingerprint Approach}",
journal = {Journal of Geophysical Research (Solid Earth)},
year = 2025,
month = jul,
volume = {130},
number = {7},
eid = {e2024JB029792},
pages = {e2024JB029792},
abstract = "{Low-degree coefficients of time-variable gravity field models from
Gravity Recovery and Climate Experiment (GRACE) and GRACE-Follow
On (GRACE-FO) capture large-scale mass changes within the Earth
system. However, some of these coefficients are either missing
(e.g., degree-1 coefficients) or poorly determined (e.g.,
${C}_{20}$). Such a situation is exacerbated particularly over
the GRACE-FO period when one of the accelerometers carries
elevated noise. In this study, we present a framework for
estimating low-degree coefficients using the fingerprint
approach. Our results demonstrate that this method can reliably
estimate multiple coefficients simultaneously, producing
degree-1, ${C}_{20}$, and ${C}_{30}$ estimates that are
comparable to the currently recommended solutions, both in
direct comparisons and in the context of estimating mass changes
over the Antarctic Ice Sheet. This framework not only provides
an alternative approach for determining low-degree coefficients
currently identified as problematic in GRACE/GRACE-FO gravity
field models, but also shows potential for addressing other
degraded low-degree coefficients that may emerge during future
GRACE-FO operations.}",
doi = {10.1029/2024JB029792},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025JGRB..13029792M},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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