Global monthly and 0.1° gap-free XCO2 dataset

This dataset consists of the global continental continuous column-averaged dry-air mole fraction of carbon dioxide (XCO2, unit: parts per million i.e., ppm) covering the period from September 2014 to December 2020. The dataset is derived from the official OCO-2 XCO2 product and incorporates data from multiple sources, including CO2 concentration data, vegetation index data, and meteorological data. We utilized a machine learning approach to generate a monthly-scale gapless CO2 product with a spatial resolution of 0.1°, stored in GeoTiff format. <strong>Please cite the following article when using the dataset:</strong> L. Zhang, T. Li, J. Wu, H. Yang, Global estimates of gap-free and fine-scale CO2 concentrations during 2014–2020 from satellite and reanalysis data, Environment International (2023), doi: https://doi.org/10.1016/j.envint.2023.108057本数据集包含2014年9月至2020年12月期间全球陆域连续柱平均干空气二氧化碳摩尔分数（XCO2），单位为百万分率（parts per million，即ppm）。本数据集源自官方OCO-2 XCO2产品，整合了多源数据，包括二氧化碳浓度数据、植被指数数据与气象数据。我们采用机器学习方法生成了空间分辨率为0.1°的月尺度无间隙二氧化碳产品，存储格式为GeoTiff。**使用本数据集时，请引用以下文献：** 张丽、李涛、吴杰、杨辉，《2014–2020年基于卫星与再分析数据的无间隙精细尺度二氧化碳浓度全球估算》，《国际环境（Environment International）》（2023年），DOI：https://doi.org/10.1016/j.envint.2023.108057