Snow cover is an important component of the Qinghai-Xizang Plateau（QXP）cryosphere，exerting a significant impact on regional and downstream weather and climate through radiative and hydrological processes. However，the simulation of snow cover on the QXP remains systematically biased. Previous studies have focused more on the impact of snow cover parameterization schemes，while giving less attention to the role of meteorological forcing data. In this study，we compare the China meteorological forcing dataset（CMFD）and the highresolution near-surface meteorological forcing dataset for the Third Pole region（TPMFD），and simulate the snow cover variations on the QXP during snow seasons in the hydrological years of 2010-2015 by driving the land surface model SSiB3-SNICAR. The results show that TPMFD substantially improves snow simulation accuracy. The root mean square error（RMSE）of the simulated snow depth is reduced from 0. 64 cm to 0. 21 cm in winter，and the RMSE of the simulated snow cover fraction is reduced from 6. 20% to 4. 15%. For snow phenology，the TPMFD experiment simulates a longer snow cover duration in both thick and thin snow regions. TPMFD also enhances the simulation performance of surface energy balance in winter，and the RMSE of simulated sur‐ face albedo and land surface temperature is reduced to 0. 15 and 3. 13 ℃. TPMFD markedly improves simulation accuracy over the western and southeastern QXP by refining precipitation and air temperature inputs，notably through increased winter precipitation below 0 ℃. This enhancement reduces both the negative bias in the east and the positive bias in the western TP. Although the complex topography and snow parameterization schemes contribute to simulation uncertainties，this study still provides an effective reference for the improvement of snow cover simulation on the QXP.