Publications related to the GRACE Missions (no abstracts)

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Separating climate and deep Earth signals in satellite gravimetry: A global assessment

Saraswati, Anita, Pfeffer, Julia, de Viron, Olivier, and Mandea, Mioara, 2026. Separating climate and deep Earth signals in satellite gravimetry: A global assessment. Geophysical Journal International, .

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@ARTICLE{2026GeoJI.tmp....4S,
       author = {{Saraswati}, Anita and {Pfeffer}, Julia and {de Viron}, Olivier and {Mandea}, Mioara},
        title = "{Separating climate and deep Earth signals in satellite gravimetry: A global assessment}",
      journal = {Geophysical Journal International},
         year = 2026,
        month = jan,
     abstract = "{This study aims to evaluate the effectiveness of the remove-restore
        method applied to GRACE (Gravity Recovery and Climate
        Experiment) gravity solutions, in which climate-related signals
        are first removed to allow a more meaningful interpretation of
        residual gravity signals associated with dynamic processes in
        Earth's deep interior. By removing seasonal cycles and long-term
        trends, the analysis focuses on non-seasonal variations where
        causal attribution is clearer. Results indicate that climate
        correction reduces GRACE signal variability by approximately
        30\% over both oceanic and continental regions, with the
        strongest impact observed in major river basins. The correction
        is most effective for temporal scales below 10 years and spatial
        scales up to spherical harmonic degree 25. While overall
        variability decreases, certain frequency bands exhibit increased
        variability, suggesting a potential degradation of the signal
        due to model or data limitations. Globally, correlations between
        corrected GRACE signals and key climate indices largely
        diminish, confirming substantial removal of climate-related
        variability. However, the climate contribution to time-variable
        gravity beyond seasonal scales likely exceeds 30\%, indicating
        incomplete correction and occasional alteration of residual
        signals that complicate the interpretation of deeper Earth
        processes. Despite these challenges, climate model-based
        correction shows promise for advancing source separation and
        deepening understanding of Earth's interior dynamics via time-
        variable gravity data, contingent on future improvements in
        climate modelling.}",
          doi = {10.1093/gji/ggag023},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2026GeoJI.tmp....4S},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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