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Daras, Ilias and Pail, Roland, 2017. Treatment of temporal aliasing effects in the context of next generation satellite gravimetry missions. Journal of Geophysical Research (Solid Earth), 122(9):7343–7362, doi:10.1002/2017JB014250.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2017JGRB..122.7343D,
author = {{Daras}, Ilias and {Pail}, Roland},
title = "{Treatment of temporal aliasing effects in the context of next generation satellite gravimetry missions}",
journal = {Journal of Geophysical Research (Solid Earth)},
keywords = {next generation gravimetry missions, temporal aliasing, dealiasing methods, time variable gravity modeling},
year = 2017,
month = sep,
volume = {122},
number = {9},
pages = {7343-7362},
abstract = "{Temporal aliasing effects have a large impact on the gravity field
accuracy of current gravimetry missions and are also expected to
dominate the error budget of Next Generation Gravimetry Missions
(NGGMs). This paper focuses on aspects concerning their
treatment in the context of Low-Low Satellite-to-Satellite
Tracking NGGMs. Closed-loop full-scale simulations are performed
for a two-pair Bender-type Satellite Formation Flight (SFF), by
taking into account error models of new generation instrument
technology. The enhanced spatial sampling and error isotropy
enable a further reduction of temporal aliasing errors from the
processing perspective. A parameterization technique is adopted
where the functional model is augmented by low-resolution
gravity field solutions coestimated at short time intervals,
while the remaining higher-resolution gravity field solution is
estimated at a longer time interval. Fine-tuning the
parameterization choices leads to significant reduction of the
temporal aliasing effects. The investigations reveal that the
parameterization technique in case of a Bender-type SFF can
successfully mitigate aliasing effects caused by undersampling
of high-frequency atmospheric and oceanic signals, since their
most significant variations can be captured by daily coestimated
solutions. This amounts to a ``self-dealiasing'' method that
differs significantly from the classical dealiasing approach
used nowadays for Gravity Recovery and Climate Experiment
processing, enabling NGGMs to retrieve the complete spectrum of
Earth's nontidal geophysical processes, including, for the first
time, high-frequency atmospheric and oceanic variations.}",
doi = {10.1002/2017JB014250},
adsurl = {https://ui.adsabs.harvard.edu/abs/2017JGRB..122.7343D},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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