Mon Oct 13, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Zhou, Hao, Luo, Zhicai, Zhou, Zebing, Li, Qiong, Zhong, Bo, Lu, Biao, and Hsu, Houze, 2018. Impact of Different Kinematic Empirical Parameters Processing Strategies on Temporal Gravity Field Model Determination. Journal of Geophysical Research (Solid Earth), 123(11):10,252–10,276, doi:10.1029/2018JB015556.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2018JGRB..12310252Z,
author = {{Zhou}, Hao and {Luo}, Zhicai and {Zhou}, Zebing and {Li}, Qiong and {Zhong}, Bo and {Lu}, Biao and {Hsu}, Houze},
title = "{Impact of Different Kinematic Empirical Parameters Processing Strategies on Temporal Gravity Field Model Determination}",
journal = {Journal of Geophysical Research (Solid Earth)},
year = 2018,
month = nov,
volume = {123},
number = {11},
pages = {10,252-10,276},
abstract = "{During temporal gravity field model determination, the kinematic
empirical parameters are mainly designed to remove the strong
bias, drift, and 1-cycle per revolution variations in range-
rates. In practice, two different strategies are commonly used
to process these empirical parameters. One is to determine the
empirical parameters before solving spherical harmonic
coefficients, called Pure Predetermined Strategy (PPS). The
other is to simultaneously determine the empirical parameters
and spherical harmonic coefficients, called Pure Simultaneous
Strategy (PSS). In this study, apart from these two strategies,
a novel processing strategy called Filter Predetermined Strategy
(FPS) is also discussed. These different processing strategies
may result in different solutions. With the Gravity Recovery and
Climate Experiment Level 1B data spanning 2005 to 2010, the
impacts of different kinematic empirical parameters processing
strategies were assessed in detail. The numerical results
indicate that (1) using three different processing strategies
and their hybrids can determine the temporal gravity field
model, while (2) the solutions via PPS present apparent temporal
signal attenuation, which is approximately 15\% lower in annual
amplitude in Amazon River Basin, and 15\% lower in yearly trend
in Greenland, and (3) the signal-to-noise ratios of the
solutions via PPS are generally smaller than those of the
solutions via FPS and PSS, and (4) the performance of FPS is
superior in terms of postfit range-rates, but compatible with
PSS in terms of other cross comparisons. According to
comprehensive comparison results in terms of temporal signals
and noise, the performance of our Huazhong University of Science
and Technology models determined via FPS is in excellent
accordance with other representative temporal gravity field
models, such as CSR RL05, GFZ RL05a, and JPL RL05.}",
doi = {10.1029/2018JB015556},
adsurl = {https://ui.adsabs.harvard.edu/abs/2018JGRB..12310252Z},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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