• Sorted by Date • Sorted by Last Name of First Author •
Yan, Zhengwen, Ran, Jiangjun, Ditmar, Pavel, Shum, C. K., Klees, Roland, Smith, Patrick, and Fettweis, Xavier, 2025. GCL-Mascon2024: a novel satellite gravimetry mascon solution using the short-arc approach. Earth System Science Data, 17(9):4253–4275, doi:10.5194/essd-17-4253-2025.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025ESSD...17.4253Y,
author = {{Yan}, Zhengwen and {Ran}, Jiangjun and {Ditmar}, Pavel and {Shum}, C.~K. and {Klees}, Roland and {Smith}, Patrick and {Fettweis}, Xavier},
title = "{GCL-Mascon2024: a novel satellite gravimetry mascon solution using the short-arc approach}",
journal = {Earth System Science Data},
year = 2025,
month = sep,
volume = {17},
number = {9},
pages = {4253-4275},
abstract = "{This paper reports on an innovative mass concentration (mascon) solution
obtained with the short-arc approach, named ``GCL-Mascon2024'',
for estimating spatially enhanced mass variations on the Earth's
surface by analyzing K- and Ka-band ranging satellite-to-
satellite tracking data collected by the Gravity Recovery And
Climate Experiment (GRACE) mission. Compared to contemporary
GRACE mascon solutions, this contribution has three notable and
distinct features: first, this solution recovery process
incorporates frequency-dependent data-weighting techniques to
reduce the influence of low-frequency noise in observations.
Second, this solution uses variably shaped mascon geometry with
physical constraints such as coastline and basin boundary
geometries to more accurately capture temporal gravity signals
while minimizing signal leakage. Finally, we employ a solution
regularization scheme that integrates climate factors and
cryospheric elevation models to alleviate the ill-posed nature
of the GRACE mascon inversion problem. Our research has led to
the following conclusions: (a) GCL-Mascon2024 mass anomaly
estimates from GRACE data show strong agreement with the
(Release) RL06 versions of mascon solutions (GSFC, CSR, JPL) in
both spatial and temporal domains; (b) in Greenland and global
hydrologic basins, the correlation coefficients of estimated
mass changes between GCL-Mascon2024 and other RL06 mascon
solutions exceed 95.0 \%, with comparable amplitudes, and,
especially over non-humid river basins, the GCL-Mascon2024
suppresses random noise by 27.8 \% compared to contemporary
mascon products; and (c) in desert regions, the analysis of
residuals calculated after removing the climatological
components from the mass variations indicates that the GCL-
Mascon2024 solution achieves noise reductions of over 29.3 \% as
compared to the GSFC and CSR RL06 mascon solutions. The GCL-
Mascon2024 gravity field solution (Yan and Ran, 2025) is
available at 10.5281/zenodo.15525467.}",
doi = {10.5194/essd-17-4253-2025},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025ESSD...17.4253Y},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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