Seamless 1 km daily XCO₂ dataset for China in 2020

This is the daily column-averaged dry-air mole fraction of CO₂ (XCO₂) with a 1 km resolution in China. It is estimated by a deep learning model integrating remote sensing and assimilated data with a high spatiotemporal resolution of 1 km and 1 day. Compared with similar products, this dataset provides more detailed spatial variations of XCO₂, which is an important supplement to existing datasets and research.The dataset is stored in the NetCDF format, which can be accessed or processed using tools such as ArcGIS, Panoply, and Matlab. In the file names, the characters D, M, and Y respectively denote daily, monthly, and yearly. Furthermore, once our paper is accepted, the reference will be updated accordingly.