Mon Oct 13, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Tan, Xuli, Li, Shanshan, Huang, Zhiyong, Huang, Yan, Wan, Hongfa, and Pei, Xianyong, 2025. A refined acceleration approach for deriving monthly gravity field solutions from K-band range-acceleration observations. Geophysical Journal International, 242(1):ggae466, doi:10.1093/gji/ggae466.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025GeoJI.242.ggae4,
author = {{Tan}, Xuli and {Li}, Shanshan and {Huang}, Zhiyong and {Huang}, Yan and {Wan}, Hongfa and {Pei}, Xianyong},
title = "{A refined acceleration approach for deriving monthly gravity field solutions from K-band range-acceleration observations}",
journal = {Geophysical Journal International},
year = 2025,
month = jul,
volume = {242},
number = {1},
eid = {ggae466},
pages = {ggae466},
abstract = "{This paper describes a refined version of the point acceleration
approach, referred to as the refined acceleration approach,
which makes use of K-band range-acceleration observations to
derive high-precision monthly gravity field solutions. For
overcoming shortcomings of the conventional approach, several
refinements are made as follows: (1) The interepoch correlated
errors caused by numerical differentiation are decorrelated by a
decorrelation operator. (2) The satellite velocity is
transformed into a function of satellite positions and dynamic
parameters. (3) The effect of satellite position error is taken
into consideration while building the range-acceleration
observational equation. (4) An autoregression model is used for
modelling the high-frequency error of K-band range-acceleration
observations. Applying the proposed approach, Gravity Recovery
and Climate Experiment Follow-on, abbr. GFO, observation data
spanning the period from 2019 January to 2022 December were
processed and a time-series of monthly gravity field solutions
was derived and referred to as SSM-ACC-GFO where the SSM is the
acronym of the School of Survey and Mapping, the ACC underlines
the usage of range-acceleration and the GFO shows the data
source. This time-series is comprehensively compared with three
official time-series, that is, CSR RL06, JPL RL06 and GFZ RL06,
both in spectral and spatial domain. Comparison results
demonstrate that SSM-ACC-GFO performs comparably with JPL RL06
and GFZ RL06 indicating that the refined acceleration approach
has the ability of deriving high-precision monthly gravity field
solutions.}",
doi = {10.1093/gji/ggae466},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025GeoJI.242.ggae4},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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