Thu Apr 10, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Chen, Qiujie, Shen, Zhanglin, Nie, Yufeng, Shen, Yunzhong, and Zhang, Xingfu, 2025. Contribution analysis of the addition of laser ranging interferometry on GRACE-FO gravity field estimation under different accelerometer calibration schemes. Advances in Space Research, 75(2):1913–1930, doi:10.1016/j.asr.2024.10.038.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025AdSpR..75.1913C,
author = {{Chen}, Qiujie and {Shen}, Zhanglin and {Nie}, Yufeng and {Shen}, Yunzhong and {Zhang}, Xingfu},
title = "{Contribution analysis of the addition of laser ranging interferometry on GRACE-FO gravity field estimation under different accelerometer calibration schemes}",
journal = {Advances in Space Research},
keywords = {Satellite gravimetry, GRACE-FO, LRI, KBR},
year = 2025,
month = jan,
volume = {75},
number = {2},
pages = {1913-1930},
abstract = "{To investigate the influence of K-Band microwave ranging (KBR) and Laser
Ranging Interferometer (LRI) inter-satellite range-rates from
the GRACE-FO mission on the recovery of gravity fields, this
paper explores two distinct methods for accelerometer scale
estimation, namely diagonal matrix parameterization and full
matrix parameterization. Integrating both KBR and LRI data from
GRACE-FO into gravity field recovery, we have derived six new
time series of monthly gravity field solutions based on two
different accelerometer calibration approaches, entitled
KBRLRI\_Com (incorporating both KBR and LRI data), KBR\_Only
(using pure KBR data), LRI\_Only (solely utilizing LRI data)
truncate to degree and order 60 over the period from January
2019 to June 2022. Analyses of KBRLRI\_Com, KBR\_Only, and
LRI\_Only reveal the following findings: (1) LRI demonstrates
significant advantages over KBR in both diagonal and full scale
matrix scenarios, across the time and frequency domains, which
shows lower root mean square (RMS) values of the post-fit
residuals in the time domain and substantially lower noise at
higher frequencies; (2) the comparison between KBRLRI\_Com,
KBR\_Only, and LRI\_Only in terms of geoid degree error suggests
that KBRLRI\_Com agrees well with KBR\_Only and LRI\_Only at the
low degrees (below degree 30), while effectively reducing the
high-frequency noise, especially when the diagonal scale
matrices are employed; the benefit of KBRLRI\_Com solution is
mainly attributed to the enhanced quantity of ranging
observations. (3) by analyzing the signal and noise over the
globe, ocean, Australian continent, and Amazon and Ganges river
basins, we find that KBRLRI\_Com is highly consistent with
KBR\_Only and LRI\_Only in terms of spatial signals, while
KBRLRI\_Com exhibits less spatial noise; when employing diagonal
and full matrices, the noise of gravity field solutions derived
by incorporating LRI data is mitigated by 8.8 \% and 3.9 \% over
the global ocean compared to KBR\_Only, as well as 7.6 \% and
3.2 \% in the Australian continent; especially in the diagonal
matrix case, the incorporation of LRI measurements for
calculating monthly gravity fields results in a more pronounced
decrease of spatial noise. (4) in the oceanic region, KBR\_Only
and LRI\_Only have average RMS values of 11.3 cm and 11.6 cm in
diagonal matrices, respectively, and 10.2 cm and 11.6 cm in the
full matrix, indicating a generally comparable level of accuracy
between the two models.}",
doi = {10.1016/j.asr.2024.10.038},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025AdSpR..75.1913C},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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