Quantifying and reducing leakage errors in the JPL RL05M GRACE mascon solution

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PCR-GLOBWB 2: a 5 arcmin global hydrological and water resources model (2017, methodology): “We used the JPL GRACE Mascon product RL05M (Wiese, 2015; Watkins et al., 2015; Wiese et al., 2016).”
Lake storage variation on the endorheic Tibetan Plateau and its attribution to climate change since the new millennium (2018, background): “The storage time series in each mascon can be considered to be fairly independent from those in the neighboring mascons [48].”
GIA Model Statistics for GRACE Hydrology, Cryosphere, and Ocean Science (2018, methodology): “While one of the great challenges to GRACE scientists is to minimize the impact of various sources of uncertainty (e.g., Chen, Wilson, et al., 2017; Eicker et al., 2016; Wiese et al., 2016), there is an agreement that after spatial and temporal filtering is applied (e.”
Filling the Data Gaps Within GRACE Missions Using Singular Spectrum Analysis (2021, background): “However, on the assumption that the mass transport only occurs on or near the surface of the earth, GRACE observations are regularly expressed in the form of equivalent water height (EWH) by mass grid cells and mascons (Save et al., 2016; Wiese et al., 2016).”