中国高分辨率高质量地面O3数据集（2000-2023）

ChinaHighO3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O3数据集。该数据集利用人工智能技术，以地表太阳辐射强度和空气温度为主要预测因子，结合地基观测、大气再分析和排放清单等大数据生产得到2000年至今全国无缝隙地面最大8小时滑动平均O3数据。数据十折交叉验证决定系数R2为0.89，均方根误差RMSE为15.77 µg/m3。主要范围为整个中国地区，空间分辨率为1 km，时间分辨率为日、月、年，单位为µg/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 ChinaHighO3 dataset is the surface ozone (O3) subset of the ChinaHighAirPollutants (CHAP) dataset, a high-resolution, high-quality near-surface air pollutant dataset for China. This dataset was constructed using artificial intelligence techniques, with surface solar radiation intensity and air temperature as the primary predictive features, integrating large-scale datasets including ground-based observations, atmospheric reanalysis data, and emission inventories, to generate nationwide seamless surface maximum 8-hour moving average O3 data spanning from 2000 to the present. It achieved a coefficient of determination (R²) of 0.89 and a root mean square error (RMSE) of 15.77 µg/m³ via 10-fold cross-validation. The dataset covers the entire territory of China, with a spatial resolution of 1 km, temporal resolutions at daily, monthly, and annual scales, and the unit of measurement is µg/m³. Note: This dataset is continuously updated. If you need access to more data, please contact the authors via email at [e-mail] and [e-mail].

搜集汇总

背景与挑战

背景概述

该数据集是中国高分辨率高质量近地表空气污染物数据集（CHAP）中的地面臭氧（O3）部分，覆盖2000年至2023年，利用人工智能技术结合多源数据生产全国无缝隙的最大8小时滑动平均O3数据，具有高空间分辨率（1km）和高精度（R2=0.89，RMSE=15.77 µg/m3），适用于日、月、年时间尺度的分析。