中国高分辨率高质量地面CO数据集（2013-2023）

ChinaHighCO数据集是中国高分辨率高质量近地表空气污染物数据集（ChinaHighAirPollutants, CHAP）中地面CO数据集。该数据集利用人工智能技术，考虑了空气污染的时空异质特性，从大数据（如地基观测、卫星遥感产品、大气再分析和模式模拟资料等）中生产得到2013年至今全国无缝隙地面CO数据，数据十折交叉验证决定系数R2为0.80，均方根误差RMSE为0.29 mg/m3。主要范围为整个中国地区，空间分辨率2019年之前为10 km，2019年之后为1 km，时间分辨率为日、月、年，单位为mg/m3。注意：该数据集持续更新，如需要更多数据，请发邮件联系作者（[e-mail]; [e-mail]）。

The ChinaHighCO dataset is the ground-level CO subset of the China High-resolution and High-quality Near-surface Air Pollutant Dataset (abbreviated as ChinaHighAirPollutants, CHAP). Built upon artificial intelligence technologies that account for the spatiotemporal heterogeneity of air pollution, this dataset generates seamless nationwide ground-level CO data from 2013 to the present by leveraging multiple large-scale data sources including ground-based observations, satellite remote sensing products, atmospheric reanalysis datasets, and model simulation outputs. The 10-fold cross-validation results show a coefficient of determination (R²) of 0.80 and a root mean square error (RMSE) of 0.29 mg/m³. The dataset covers the entire Chinese mainland, with a spatial resolution of 10 km for data released prior to 2019 and 1 km for data from 2019 onwards. Its temporal resolutions include daily, monthly and annual scales, and the unit of measurement is mg/m³. Note: This dataset is under continuous update. For additional data, please contact the authors via email at [e-mail]; [e-mail].

搜集汇总

背景与挑战

背景概述

中国高分辨率高质量地面CO数据集（2013-2023）是一个覆盖中国地区的近地表一氧化碳（CO）数据集，时间分辨率为日、月、年，空间分辨率在2019年之前为10公里，2019年之后提升至1公里。该数据集利用人工智能技术整合多源数据，具有较高的准确性（R²=0.80，RMSE=0.29 mg/m³），数据格式为NetCDF，总大小为9.83 GB，可通过开放获取方式获得。