A Complete Density Correction using Normalizing Flows (CDC-NF) for CMIP6 GCMs (revised)

The dataset contains bias-corrected daily precipitation and maximum temperature data generated using the Complete Density Correction method based on Normalizing Flows (CDC-NF) for five selected CMIP6 GCMs: MRI-ESM2-0, MPI-ESM1-2-HR, ACCESS-CM2, GFDL-ESM4, and NorESM2-LM. The data are structured and provided in netCDF format with clearly organized filenames indicating the specific GCM, scenario, and climate variable.

该数据集包含针对5个选定的CMIP6全球气候模式（GCMs）生成的、经过偏差校正的日降水量和日最高气温数据，这些数据采用基于归一化流（Normalizing Flows）的完全密度校正方法（CDC-NF）生成；所选模式包括MRI-ESM2-0、MPI-ESM1-2-HR、ACCESS-CM2、GFDL-ESM4和NorESM2-LM。数据结构化并以netCDF格式提供，文件名组织清晰，明确标识了具体的GCM、情景及气候变量。