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Enhancing the Estimation Precision of C$_20$ Through Revised GRACE Follow on Accelerometer Response Model to Thrusters

Shen, Zhengyuan, Cai, Lin, Wang, Hongmin, and Zhou, Zebing, 2025. Enhancing the Estimation Precision of C$_20$ Through Revised GRACE Follow on Accelerometer Response Model to Thrusters. Journal of Geophysical Research (Solid Earth), 130(12):e2025JB031121, doi:10.1029/2025JB031121.

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BibTeX

@ARTICLE{2025JGRB..13031121S,
       author = {{Shen}, Zhengyuan and {Cai}, Lin and {Wang}, Hongmin and {Zhou}, Zebing},
        title = "{Enhancing the Estimation Precision of C$_{20}$ Through Revised GRACE Follow on Accelerometer Response Model to Thrusters}",
      journal = {Journal of Geophysical Research (Solid Earth)},
     keywords = {accelerometer, cold-gas thruster, C$_{20}$ coefficient, data processing, GRACE-FO},
         year = 2025,
        month = dec,
       volume = {130},
       number = {12},
          eid = {e2025JB031121},
        pages = {e2025JB031121},
     abstract = "{As the largest component of Earth's time-variable gravity field,
        ${C}_{20}$ is crucial for understanding regional mass
        variability and climate changes. However, the ${C}_{20}$
        estimated by Gravity Recovery and Climate Experiment Follow-On
        (GRACE-FO) is currently unreliable and has been replaced by
        values derived from the satellite laser ranging (SLR) to ensure
        the proper scientific application of GRACE-FO data products.
        Yet, exploring the reasons for the bias in the ${C}_{20}$
        estimates has been of great interest, as there is always a
        concern about the inconsistency between the SLR and GRACE
        solutions. This study investigates the impact of accelerometer
        (ACC) data processing methods on the accuracy of ${C}_{20}$
        estimation by examining the anomalous response characteristics
        of the GRACE-FO ACC to the thruster. Firstly, using the
        statistical analysis method, we identify a correlation between
        the anomalous response caused by the Roll thrusters and the ACC
        range mode. From this basis, we make a conjecture about the
        mechanism of anomalous response generation, and a new thruster
        firing physical model based on statistical results is proposed
        to replace the anomalous response and optimize the current ACC
        data processing flow. From the results of the gravity field
        recovery, the corrected ACC data improve the accuracy of the
        estimation of ${C}_{20}$. After multiple months of estimation,
        the estimate RMSD ${C}_{20}$ between the new ACC product and the
        TN-14 solutions was $1.16\times 1{0}^{-10}$, better than the
        precision of the estimate of the reference solutions. Finally,
        we discuss the correlation between this ACC processing method
        and the accuracy of ${C}_{20}$ estimation.}",
          doi = {10.1029/2025JB031121},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2025JGRB..13031121S},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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