The models differ significantly in capturing monthly precipitation across climate classifications (Figure 6). The CC between models and CN05.1 was relatively higher in the SAR and SHD (>0.723), but in other regions (i.e., HD and AR) it was ranged from 0.396 to 0.673, with weaker correlations. The MAE and RMSE in AR were relatively small and concentrated, while they were relatively large and dispersed over HD. The DISO of the models precipitation ranged from 0.856 to 3.085, revealing a huge heterogeneity among climate classifications. Based on the DISO ranking, it is discovered that the best-performing models among climate classifications were MIROC6 (AR and SAR), TaiESM1 (SHD) and ACCESS-CM2 (HD), respectively. For China, the models that ranked first and last in terms of comprehensive performance were ACCESS-CM2 (DISO 1.630) and MPI-ESM1-2-HR (DISO 1.715) (Table 2).