Estimating geocenter variations from a combination of GRACE and ocean model output

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Optimizing estimates of annual variations and trends in geocenter motion and J2 from a combination of GRACE data and geophysical models (2016, methodology): “from the oceanic degree 1 coefficients used in equation (3) to keep them compatible with vector G [Swenson et al., 2008; Sun et al., 2016].”
Time‐variable gravity observations of ice sheet mass balance: Precision and limitations of the GRACE satellite data (2013, methodology): “rectly computed from the GRACE data, combined with GIA and ocean model output, as described by Swenson et al. [2008]. When those terms are added back to the monthly sets of Stokes coefficients, the sensitivity kernel becomes more focused, and the leakage decreases.”
Closing the sea level rise budget with altimetry, Argo, and GRACE (2009, background): “Recent estimates based on ocean models and GRACE fields over land suggest that trends in ocean mass from geocenter variations are on the order of a few tenths of a mm/a [Swenson et al., 2008].”
Increasing rates of ice mass loss from the Greenland and Antarctic ice sheets revealed by GRACE (2009, methodology): “coefficients calculated from a combination of GRACE and ocean model output as described by Swenson et al. [2008]. [6] The averaging function is smoothed and this causes an amplitude damping of the recovered mass.”