Publications related to the GRACE Missions (no abstracts)

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GRACE-FO Satellite Data Preprocessing Based on Residual Iterative Correction and Its Application to Gravity Field Inversion

Zhao, Shuhong and Li, Lidan, 2025. GRACE-FO Satellite Data Preprocessing Based on Residual Iterative Correction and Its Application to Gravity Field Inversion. Sensors, 25(11):3555, doi:10.3390/s25113555.

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@ARTICLE{2025Senso..25.3555Z,
       author = {{Zhao}, Shuhong and {Li}, Lidan},
        title = "{GRACE-FO Satellite Data Preprocessing Based on Residual Iterative Correction and Its Application to Gravity Field Inversion}",
      journal = {Sensors},
     keywords = {satellite gravimetry, data preprocessing, energy balance method, gravity field inversion, spherical harmonic coefficients},
         year = 2025,
        month = jun,
       volume = {25},
       number = {11},
          eid = {3555},
        pages = {3555},
     abstract = "{To address the limited inversion accuracy caused by low-fidelity data in
        satellite gravimetry, this study proposes a data preprocessing
        framework based on iterative residual correction. Utilizing
        Level-1B observations from the Gravity Recovery and Climate
        Experiment Follow-On (GRACE-FO) satellite (January 2020),
        outliers were systematically detected and removed, while data
        gaps were compensated through spline interpolation. Experimental
        results demonstrate that the proposed method effectively
        mitigates data discontinuities and anomalous perturbations,
        achieving a significant improvement in data quality.
        Furthermore, a 60-order Earth gravity field model derived via
        the energy balance approach was validated against
        contemporaneous models published by the University of Texas
        Center for Space Research (CSR), German Research Centre for
        Geosciences (GFZ), and Jet Propulsion Laboratory (JPL). The
        results reveal a two-order-of-magnitude enhancement in inversion
        precision, with model accuracy improving from
        10$^{-6}$-10$^{-7}$ to 10$^{-8}$-10$^{-9}$. This method provides
        a robust solution for enhancing the reliability of gravity field
        recovery in satellite-based geodetic missions.}",
          doi = {10.3390/s25113555},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2025Senso..25.3555Z},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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