全球陆地每日10公里分辨率的表面臭氧数据集从2013-2022年
Rui Wang1, Huanfeng Shen1,2,3, Chao Zeng4
1School of Resource and Environmental Sciences, Wuhan University, Wuhan, 430079, China.
Scientific data
|October 30, 2025
概括
一个新的全球每日表面臭氧数据集 (2013-2022) 为了解臭氧污染提供了更高的分辨率. 这些数据有助于空气质量管理和健康研究,提供关键的,细粒度的见解.
科学领域:
- 环境科学 环境科学
- 大气化学 大气化学
- 数据科学数据科学数据科学
背景情况:
- 全球臭氧污染正在上升,但目前的数据集缺乏全面健康影响评估所需的时间分辨率.
- 了解臭氧对健康的影响需要比每月或每年平均水平提供更多的细粒度数据.
研究的目的:
- 开发一个高分辨率的全球地表臭氧数据集 (每天最大8小时平均值为0.1°),用于2013-2022年期间.
- 提高对全球臭氧污染及其相关健康风险的了解.
主要方法:
- 构建了一个高效的光梯度增强机模型,集成多种数据源:表面臭氧观测,卫星产品,模型模拟,重新分析数据和排放库存.
- 实施严格的表面臭氧观测质量控制,特别是来自中国和欧洲,同时考虑到时间和空间数据的特征.
- 利用基于空间的10倍交叉验证来评估数据集的准确性.
主要成果:
- 开发的数据集实现了0.79-0.88之间的确定系数 (R2) 和11.32-13.26μg m-3.3的根平均平方误差 (RMSE).
- 数据集的准确性与当前最先进的表面臭氧数据集相提并论.
- 每天的时间分辨率提供了比以前的数据集更详细的信息.
结论:
- 新的全球每日表面臭氧数据集为空气质量管理策略提供了关键支持.
- 这种高分辨率的数据集对于推进臭氧污染对健康影响的研究至关重要.
- 增强的数据细分度有助于更精确地评估与臭氧有关的健康问题.
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