在空气质量模拟中推断和评估对NOx排放估计的卫星制约因素
James D East1,2, Barron H Henderson3, Sergey L Napelenok3
1Department of Civil, Construction, and Environmental Engineering, North Carolina State University, Raleigh, NC 27606, USA.
概括
新的卫星数据分析改善了来自闪电和人类活动的氧化物 (NOx) 排放估计. 这一框架有助于通过更好地区分近地表排放来完善污染控制战略.
科学领域:
- 大气中的化学成分
- 遥感是一种远程传感.
- 环境建模环境建模
背景情况:
- 卫星对热层二氧化 (NO2) 的观测提供了对氧化 (NOx) 排放的限制.
- 传统的质量平衡方法难以区分地表附近的排放与高海拔地区的排放,比如闪电.
研究的目的:
- 开发一个反向建模框架,将卫星数据同化与化学运输模型相结合.
- 隔离和改善近地表面人为和闪电引起的NOx排放的估计.
主要方法:
- 合卫星化学数据同化与化学运输模型.
- 采用一个代的有限差量质量平衡方法,并没有数据同化.
- 使用来自臭氧监测仪器 (OMI) 和热带层监测仪器 (TROPOMI) 的重叠数据.
主要成果:
- 该框架成功地隔离了近地 NOx 排放.
- 观察到OMI和TROPOMI人为NOx排放推断之间的差异,与TROPOMI NO2检索偏差有关.
- 更新的闪电NOx排放改善了模型对热层臭氧的模拟.
结论:
- 反向建模框架提高了NOx排放估计的准确性.
- 卫星数据同化显著提高了模型在重现臭氧度的性能.
- 这些发现支持制定有效的污染控制战略.
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