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April 24, 2026Applied Sciences0 citationsOpen Access

A Review of GRACE/GRACE-FO Satellite Gravimetry Applications in Earthquake Activity Monitoring

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HWHaoyan WuYWYe WuGGGuanwen Gu

Key Points

  • This research aims to evaluate how effectively GRACE and GRACE-FO measure changes in gravity associated with large earthquakes.
  • Analyzed gravity changes from three Mw 9.0-class earthquakes using GRACE and GRACE-FO data.
  • Utilized spherical harmonic and mass concentration solutions for gravity field recovery.
  • Employed theoretical dislocation models for interpretation of coseismic effects.
  • Coseismic gravity changes are primarily influenced by long-wavelength gravity signals.
  • Spherical harmonic solutions provide better sensitivity to mass redistribution but face issues like striping noise.
  • Mass concentration solutions offer enhanced stability but result in signal attenuation.

Abstract

Earthquakes induce significant mass redistribution, generating temporal gravity variations detectable by GRACE and GRACE-FO missions. However, the capability of different gravity field recovery strategies, particularly spherical harmonic (SH) and mass concentration (MASCON) solutions, to capture coseismic signals remains insufficiently quantified. This study investigates coseismic gravity changes associated with three Mw 9.0-class earthquakes, including the 2004 Sumatra–Andaman, 2010 Maule, and 2011 Tohoku events, using both SH and MASCON products and theoretical dislocation models. Spectral analysis indicates that recovered signals are dominated by long-wavelength components, while short-wavelength deformation is strongly attenuated. SH products exhibit higher sensitivity to large-scale mass redistribution but are more affected by striping noise and leakage, whereas MASCON products provide improved stability at the cost of signal attenuation. Overall, these findings highlight fundamental limitations of current GRACE-derived products in fully recovering coseismic deformation signals and emphasize the need for improved signal separation strategies.

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Cite This Study

Wu et al. (2026) studied this question.

synapsesocial.com/papers/69eb08ef553a5433e34b39d9https://doi.org/10.3390/app16094066
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