China daily ground surface direct and diffuse solar radiation dataset

This dataset is produced based on a machine learning model. The satellite-derived surface global solar radiation dataset ISCCP-ITP-CNN was fed into the trained model and a daily direct and diffuse radiation component dataset for China was produced with a spatial resolution of 10 km and a time span of 1983-2018. This dataset has been validated using the surface solar radiation component observations China Meteorological Administration (CMA). It has higher accuracy compared with the rest of the current datasets.The data format is mat file, which is generated by the scientific computing software MATLAB and can be read using either matlab or Python. The diffese radiation file is named 'dif_year', the storage variable is 'dif2', and the data are in the form of 400*700 arrays, representing 70-140° E and 15-55° N, with a resolution of 0.1 degrees, i.e., a grid of 10km. The direct radiation file is named 'dir_year', the storage variable is 'dir3', and the data form is the same as that of the scattering radiation. No latitude and longitude information is stored in any of the files.