• Sorted by Date • Sorted by Last Name of First Author •
Ghobadi-Far, Khosro, Han, Shin-Chan, Weller, Steven, Loomis, Bryant D., Luthcke, Scott B., Mayer-Gürr, Torsten, and Behzadpour, Saniya, 2018. A Transfer Function Between Line-of-Sight Gravity Difference and GRACE Intersatellite Ranging Data and an Application to Hydrological Surface Mass Variation. Journal of Geophysical Research (Solid Earth), 123(10):9186–9201, doi:10.1029/2018JB016088.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2018JGRB..123.9186G,
author = {{Ghobadi-Far}, Khosro and {Han}, Shin-Chan and {Weller}, Steven and {Loomis}, Bryant D. and {Luthcke}, Scott B. and {Mayer-G{\"u}rr}, Torsten and {Behzadpour}, Saniya},
title = "{A Transfer Function Between Line-of-Sight Gravity Difference and GRACE Intersatellite Ranging Data and an Application to Hydrological Surface Mass Variation}",
journal = {Journal of Geophysical Research (Solid Earth)},
keywords = {GRACE, time-variable gravity, correlation, admittance, range-acceleration, surface water},
year = 2018,
month = oct,
volume = {123},
number = {10},
pages = {9186-9201},
abstract = "{We develop a transfer function to determine in situ line-of-sight
gravity difference (LGD) directly from Gravity Recovery and
Climate Experiment (GRACE) range-acceleration measurements. We
first reduce GRACE data to form residual range-acceleration
referenced to dynamic orbit computed with a reference gravity
field and nonconservative force data. Thus, the residuals and
the corresponding LGD data reflect time-variable gravity
signals. A transfer function is designed based on correlation-
admittance spectral analysis. The correlation spectrum shows
that residual range-acceleration and LGD are near-perfectly
correlated for frequencies >5 cycles-per-revolution. The
admittance spectrum quantifies that the LGD response to range-
acceleration is systematically larger at lower frequencies, due
to the increased contribution of centrifugal acceleration. We
find that the correlation and admittance spectra are stationary
(i.e., are independent of time, satellite altitude, and gravity
strength) and, therefore, can be determined a priori with high
fidelity. We determine the spectral transfer function and the
equivalent time domain filter. Using both synthetic and actual
GRACE data, we demonstrate that in situ LGD can be estimated via
the transfer function with an estimation error of 0.15
nm/s$^{2}$, whereas the actual GRACE data error is around 1.0
nm/s$^{2}$. We present an application of LGD data to surface
water storage changes in large basins such as Amazon, Congo,
Parana, and Mississippi by processing 11 years of GRACE data.
Runoff routing models are calibrated directly using LGD data.
Our technique demonstrates a new way of using GRACE data by
forward modeling of various geophysical models and in-orbit
comparison with such GRACE in situ data.}",
doi = {10.1029/2018JB016088},
adsurl = {https://ui.adsabs.harvard.edu/abs/2018JGRB..123.9186G},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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