The lakes on the Tibetan Plateau(TP) are sensitive indicators of water dynamics associated with climate variability.This study focuses on the Lake Qinghai,which is a crucial role in maintaining the ecological environment and the water balance of the great river basins of the TP.This study focuses on the Lake Qinghai,we develop a simple framework to estimate water volume variations of individual regions while simultaneously minimizing the effects of GRACE observational errors and contamination from surrounding glacial or snow,hydrological,and human activity signals.Spatial averaging kernels were created to isolate the gravity signal of GRACE will be influenced by mass signals outside the lake,referred to as leakage,as well as over-or underestimating the contribution of the signal inside the lake.Here,to remove leakage from land water storage adjacent to the Lake Qinghai,we use monthly,gridded,global water storage estimates from the Land Surface Models(LSMs) to estimate land water storage contributions to the Stokes coefficients,which we subtract from the GRACE coefficients.We also use in-situ measurements of the impounded water level to remove the influence of the artificial dam.