对流层NO2柱浓度卫星遥感反演综述

NO2是主要的大气痕量气体, 对流层NO2垂直柱密度分布图已经用于诸如污染排放和污染物分布的科学应用研究。就NO2柱浓度的卫星差分光谱吸收反演算法(DOAS)进行了评述, 包括误差分析、验证和发展趋势。对DOAS算法中的主要技术环节进行了详细的阐述, 如ring效应算法、平流层NO2浓度算法和大气质量因子(AMF)问题。论文描述了影响卫星反演NO2浓度, 如云、NO2廓线的先验数据和气溶胶等不确定性因素。针对NO2反演应用需求提出了今后应该加强的内容, 如进一步加强NO2算法研究、发展空气质量探测的静止卫星、重视基于地基多轴被动DOAS和机载平台成像DAOS观测对卫星反演结果的验证。

Overview of tropospheric NO2 vertical column density retrieval from space measurement

Nitrogen dioxide (NO2) plays a very important role among the anthropogenic trace gas. The tropospheric NO2 vertical column density (VCD) maps derived have been used to study many scientific applications, such as pollution emissions and pollutant distribution. This paper reviewed the NO2 inverse algorithm, Differential Optical Absorption Spectroscopy (DOAS), from satellite measurements, and also discussed the error analysis, validation and developing trends. Significant techniques are detailed for DOAS method, such as the ring effect algorithm, stratospheric NO2 concentration algorithm and air mass factor (AMF). After displaying the different accuracies of NO2 retrieved from satellite measurements, uncertainties are discussed for model parameters including cloud, a-priori NO2 profiles, aerosol layer, and so on. There are many important issues needing to be improved. These include the tropospheric NO2 retrieval algorithm, geostationary air quality satellite, and validation from ground-based measurements, Multi-Axis DOAS, and aircraft-based instruments.