Seamless 1 km daily XCO₂ dataset for China from 2015 to 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.

本数据集为中国区域1千米分辨率的逐日干空气柱平均二氧化碳摩尔分数（XCO₂）。其采用融合遥感与同化数据的深度学习模型进行估算，时空分辨率可达1千米、1日。相较于同类产品，本数据集能够呈现更为精细的XCO₂空间分布变化特征，是对现有数据集与相关研究的重要补充。本数据集以NetCDF格式存储，可通过ArcGIS、Panoply、Matlab等工具进行读取与处理。文件名中的字符D、M、Y分别代表逐日、逐月与逐年数据。