A high-resolution monthly future precipitation scenario dataset for the Tibetan Plateau, 2015–2100

Based on monthly precipitation data from five CMIP6 global climate models and using the monthly TPMFD precipitation dataset as the historical reference, this study developed a monthly future precipitation scenario dataset for the Tibetan Plateau for 2015–2100 at a spatial resolution of 1/30°.

The data-processing workflow included calendar and unit harmonization, area-weighted aggregation of TPMFD to the native grids of the individual models, multiplicative quantile bias correction based on historical empirical distributions, construction of supervised samples through artificial degradation, terrain-conditioned residual U-Net downscaling, and coarse-grid precipitation-consistency adjustment. The dataset covers five models—MRI-ESM2-0, BCC-CSM2-MR, CESM2, NorESM2-MM, and MPI-ESM1-2-LR—and four scenarios: SSP126, SSP245, SSP370, and SSP585.