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The Yangtze River Basin is an important economic area in China. Monitoring TWS change in this basin is strongly meaningful for exploitation of water resources and economic development. Filtering is necessary to derive the TWS from GRACE time-variable gravity field models, but the signal is distorted. Therefore, we subtract the leakage error from the filtered TWS change to acquire the attenuation signal. We use a scale factor derived from the basin characteristic function to recover the attenuation signal. We propose a so-called third-filter method to gain the temporal distribution of the leakage error. In addition, we compare the TWS obtained using the third-filter method with that from other approaches, e.g., the scaling-factor approach, addictive correction approach, and multiplicative correction approach. In the spatial distribution, we compare the results from these three approaches with that from the second-filter …