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使用TROPOMI NO2和数据驱动方法估计全球0.1°级格式的人为CO2排放
Yucong Zhang1, Shanshan Du2, Linlin Guan2
1Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China; International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China; University of Chinese Academy of Sciences, Beijing 100049, China.
The Science of the total environment
|August 2, 2024
概括
这项研究引入了一种使用卫星二氧化 (NO2) 数据来估计全球二氧化碳 (CO2) 排放量在微细的0.1°尺度上的新方法. 该方法克服了直接的二氧化碳卫星观测的局限性,用于详细的全球地图.
科学领域:
- 地球和大气科学 地球和大气科学
- 环境科学 环境科学
- 遥感 遥感 遥感 遥感
背景情况:
- 现有的卫星二氧化碳观测没有足够的分辨率来进行精细的全球测绘.
- 准确,高分辨率的二氧化碳排放数据对于气候变化减缓和政策制定至关重要.
研究的目的:
- 开发一种新的数据驱动方法,以在0.1°尺度上估计全球人为二氧化碳排放.
- 利用高分辨率的二氧化 (NO2) 卫星数据来克服直接二氧化碳测量的局限性.
主要方法:
- 使用TROPOspheric监测仪器 (TROPOMI) NO2测量作为二氧化碳排放的代理.
- 使用长期短期记忆 (LSTM) 神经网络来预测CO2/NOx排放和NOx/NO2转换比率.
- 实施了一个随机森林回归 (RFR) 模型,与全球大气研究排放数据库 (EDGAR) 进行训练,以估计二氧化碳排放.
主要成果:
- 实现了0.1°尺度全球人为二氧化碳排放数据集的高精度.
- 该数据集与国家库存有很强的一致性 (R2=0.998与GCB,R2=0.996与EDGAR).
- 与城市一级估计的一致性 (R2=0.824与CMC).
结论:
- 拟议的数据驱动方法有效地估计了精细分辨率的人为二氧化碳排放.
- 卫星观测的二氧化为监测二氧化碳排放提供了可行的替代方案,其规模以前无法实现.
- 这种方法为详细的全球二氧化碳排放评估提供了新的视角.
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