Abstract: Based on multi-layer soil temperature data simulated by the global climate models in the phase 6 of the Coupled Model Intercomparison Project (CMIP6), observation data from Elinghu grassland station and ERA5 reanalysis data from ECMWF, this study evaluates the performances of BCC land surface process model on simulation of soil freezing and thawing process in Qinghai-Tibet Plateau. The results show that BCC-CSM2-MR simulates the total dates of freezing and thawing well, especially for the ablation process stage, compared with observations. However, the date of the complete freezing phase and date of the ablation process phase are delayed by BCC-CSM2-MR, which may be related to the latency of soil temperature drop for the imperfection of physical parameterization process of the land model. And BCC-CSM2-MR has a good simulation on the variation of frozen soil depth in the early period of the soil freezing. For the distribution of frozen soil depth, BCC-CSM2-MR can’t simulate the alternately distribution well in the southwestern part of the Qinghai-Tibet Plateau, on account of BCC-CSM2-MR’s the low grid resolution and the inaccurate description of the terrain. Besides, BCC-CSM2-MR can show the increasing trend of the soil temperature in the Qinghai-Tibet Plateau. For the distribution of climate tendency rate of BCC-CSM2-MR, the northeast is lower and the western region is higher, compared with the ensemble results. Also, it can’t simulate the relatively low-value areas well in the north of plateau.