A high-resolution dataset for lower atmospheric process studies over the Tibetan Plateau from 1981 to 2020

The TP Sub-regional Dynamical Downscaling (TPSDD) dataset is a high-spatial-temporal resolution grid dataset for land-air exchange processes and lower atmospheric structures studies over the whole TP, taking the climate characteristics of each TP sub-region into consideration. The dataset spans from 1981 to 2020, covering the TP with a temporal resolution of 2 hours and spatial resolution of 10 km. Meteorological elements of the dataset include the near-surface land-air exchange parameters, such as downward/upward longwave/shortwave radiation flux, momentum flux, sensible heat flux, latent heat flux, etc. In addition, the vertical distributions of 3-dimensional wind, temperature, humidity, and pressure from the surface to the tropopause are also included. Independent evaluations were conducted for the dataset by comparison between the observational data and the most recent ERA5 reanalysis data. The results demonstrate the accuracy and superiority of this dataset against reanalysis data, which provides great potential for future climate change research.