中国1km高分辨率高质量逐年地面臭氧O3数据集(2000-2024年)

该数据集基于人工智能模型以太阳辐射强度和空气温度作为主要预测因子，结合地基观测、大气再分析和排放清单等大数据生产得到全国无缝隙地面最大8小时滑动平均地面O3数据。主要范围为整个中国地区，时间分辨率为年，单位为μg/m3。

This dataset is developed based on an artificial intelligence model, taking solar radiation intensity and air temperature as the main predictive factors. By integrating big data sources including ground-based observations, atmospheric reanalysis data and emission inventories, it generates nationwide seamless ground-level maximum 8-hour sliding average ozone (O3) data. Its coverage spans the entire Chinese region, with an annual temporal resolution, and the unit is μg/m³.