青藏高原积雪是冰冻圈的重要组成部分，通过辐射和水文过程显著影响区域及下游天气与气候。然而，高原积雪模拟存在系统性偏差，过去研究多聚焦积雪参数化方案，较少关注气象驱动数据的作用。本研究对比了中国区域地面气象要素数据集（CMFD）与第三极高分辨率长时序气象数据集（TPMFD），通过驱动SSiB3-SNICAR陆面模式，模拟2010~2015水文年雪季期间高原积雪变化。结果表明，TPMFD 显著提升积雪模拟精度，冬季模拟雪深均方根误差（RMSE）从 0. 64 cm 降至 0. 21 cm，积雪覆盖率RMSE从6. 20%降至4. 15%。积雪物候方面，TPMFD在厚雪区和薄雪区均模拟出更长的积雪持续时间，并改善了冬季地表能量收支模拟，模拟地表反照率和温度 RMSE 分别降至 0. 15 和 3. 13 ℃。TPMFD通过优化降水和气温输入，尤其在冬季增加低于 0 ℃的降水量，减少了东部负偏差和西部正偏差，显著提升高原西部和东南部模拟精度。尽管复杂地形和参数化方案带来一定误差，本研究仍为改进高原积雪模拟提供了重要参考。

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.