在2015-2020年期间,对中国各地每小时表面臭氧度的节估计
Wenxiu Zhang1,2, Di Liu1,2, Hanqin Tian3
1State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.
Scientific data
|May 14, 2024
概括
对中国的高分辨率地表臭氧数据使用循环神经网络进行了映射. 这一新的数据集 (HrSOD) 可以更好地评估臭氧.
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:
- 表面臭氧是一种有害的空气污染物,影响中国的健康和生态系统.
- 缺乏高分辨率的地表臭氧数据阻碍了准确的影响评估.
研究的目的:
- 为中国 (2015-2020年) 开发一个高分辨率的每小时表面臭氧数据集.
- 改善对表面臭氧对环境和人类健康影响的评估.
主要方法:
- 收集了广泛的地面臭氧观测,遥感,气象和社会经济数据.
- 应用循环神经网络 (RNN) 用于时空臭氧测绘.
- 使用交叉验证验证验证模型 (R2: 0.65-0.72,RMSE: 11.71-12.81 ppb).
主要成果:
- 在中国各地以0.1° × 0.1°分辨率生成每小时表面臭氧数据 (HrSOD).
- 与地面观测实现了高精度和时空一致性.
- 证明了数据集对细分辨率影响评估的有用性.
结论:
- 开发的HrSOD数据集填补了中国的关键数据缺口.
- 提供了解和减轻表面臭氧影响的基本信息.
- 促进更准确的环境和健康益处评估.
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