• Sorted by Date • Sorted by Last Name of First Author •
Xiong, Yuhao, Feng, Wei, Zhou, Xin, Kusche, Jürgen, Shen, Yingchun, Yang, Meng, Wang, Changqing, and Zhong, Min, 2024. Separation of earthquake and hydrology signals from GRACE satellites data via independent component analysis: a case study in the Sumatra region. Geophysical Journal International, 239(3):1597–1616, doi:10.1093/gji/ggae351.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2024GeoJI.239.1597X,
author = {{Xiong}, Yuhao and {Feng}, Wei and {Zhou}, Xin and {Kusche}, J{\"u}rgen and {Shen}, Yingchun and {Yang}, Meng and {Wang}, Changqing and {Zhong}, Min},
title = "{Separation of earthquake and hydrology signals from GRACE satellites data via independent component analysis: a case study in the Sumatra region}",
journal = {Geophysical Journal International},
year = 2024,
month = dec,
volume = {239},
number = {3},
pages = {1597-1616},
abstract = "{The Gravity Recovery and Climate Experiment (GRACE) satellites have
observed mass migrations caused by megathrust earthquakes.
Extracting earthquake-related signals from GRACE data is still a
challenge due to the interference from non-earthquake sources
such as terrestrial hydrology. Instead of reducing hydrological
signals by potentially biased hydrological models, in this study
we apply a model-free technique of independent component
analysis (ICA), to separate earthquake and non-earthquake
signals from non-Gaussian GRACE data. We elucidate the
principles and mechanisms of ICA for the separation of
earthquake and hydrology signals, employing simulated data to
demonstrate the process. Our findings demonstrate that both
spatial ICA and temporal ICA are highly effective in discerning
earthquake related to 2004 M$_{w}$ 9.2 event and hydrological
signals from GRACE data in the Sumatra region. This stands in
stark contrast to principal component analysis, which often
encounters challenges with signal intermingling. The utility of
ICA is evident in its ability to distinctly delineate coseismic
and post-seismic behaviours associated with megathrust events,
including the 2004 Sumatra, the 2010 Maule, and the 2011 Tohoku
earthquakes. ICA effectively mitigates the potential for
misestimation of earthquake signals, an issue that can carry
substantial implications. Therefore, employing ICA facilitates
the accurate extraction of earthquake-related data from
satellite gravity observations-a critical process for refining
earthquake source parameters and understanding Earth's
rheological properties, especially when non-earthquake signals
are significant and cannot be disregarded.}",
doi = {10.1093/gji/ggae351},
adsurl = {https://ui.adsabs.harvard.edu/abs/2024GeoJI.239.1597X},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
Generated by
bib2html_grace.pl
(written by Patrick Riley
modified for this page by Volker Klemann) on
Mon Oct 13, 2025 16:16:49
GRACE-FO
Mon Oct 13, F. Flechtner![]()