ChinaHighPM1: Big Data Seamless 10 km Ground-level PM1 Dataset for China

ChinaHighPM₁ is one of the series of long-term, full-coverage, high-resolution, and high-quality datasets of ground-level air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from the big data (e.g., ground-based measurements, satellite remote sensing products, atmospheric reanalysis, and model simulations) using artificial intelligence by considering the spatiotemporal heterogeneity of air pollution. This is the big data-derived seamless (spatial coverage = 100%) daily, monthly, and yearly 10 km (i.e., D10K, M10K, and Y10K) ground-level PM₁ dataset in China from 2013 to 2020. This dataset yields a high quality with a cross-validation coefficient of determination (CV-R²) of 0.83 and a root-mean-square error (RMSE) of 9.25 µg m^-3 on a daily basis. <strong>Note that this dataset is closed access since a longer-term (2000-2021), seamless, high-resolution (1 km), and higher quality ChinaHighPM₁ dataset (Version 3) is available at: https://doi.org/10.5281/zenodo.3538555</strong> <strong>More CHAP datasets of different air pollutants can be found at: https://weijing-rs.github.io/product.html</strong>ChinaHighPM₁ 是中国地面大气污染物系列长期、全覆盖、高分辨率高质量数据集（即ChinaHighAirPollutants，缩写为CHAP）中的一个子数据集。该数据集依托地面观测、卫星遥感产品、大气再分析资料及模式模拟等大数据，结合大气污染的时空异质性，通过人工智能方法生成。本数据集为2013年至2020年中国全域无缝覆盖（空间覆盖率达100%）的逐日、逐月、逐年10公里分辨率地面PM₁数据集，分别记为D10K、M10K与Y10K。该数据集品质优异，日尺度下的交叉验证决定系数（cross-validation coefficient of determination，CV-R²）达0.83，均方根误差（root-mean-square error，RMSE）为9.25 µg·m⁻³。**请注意，本数据集为限用访问数据集，因为更长时间序列（2000-2021年）、无缝覆盖、高分辨率（1公里）且品质更优的ChinaHighPM₁数据集（版本3）可通过以下链接获取：https://doi.org/10.5281/zenodo.3538555** **更多不同大气污染物的CHAP系列数据集可访问以下链接：https://weijing-rs.github.io/product.html**