GRACE and GRACE-FO Related Publications (no abstracts)

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Separation of earthquake and hydrology signals from GRACE satellites data via independent component analysis: a case study in the Sumatra region

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.

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@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}
}

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