华北地区高浓度气溶胶背景对大气温室气体和环境污染气体的卫星遥感反演的影响

大气温室气体和大气污染物的浓度及其相关的排放数量的遥感监测，是应对我国气候变化外交谈判和大气环境污染控制重大任务所急需解决的重要课题，与多项国家重大科技专项任务密切相关。然而上述遥感监测任务遇到的瓶颈问题是：如何在我国发达地区普遍高污染的大气背景条件下，通过卫星反演获得比较可信的大气温室气体和大气污染物浓度的观测结果？本课题拟利用先进辐射传输模式开展大气气溶胶对光散射的复杂过程的模拟研究，利用太阳光度计、激光雷达、粒径谱仪等先进配套仪器开展华北地区大气气溶胶的光学厚度、粒径谱、吸光特性以及垂直分布的综合性观测，采用理论模拟和观测实验相结合的技术方案，评估华北地区高浓度气溶胶背景对卫星遥感反演大气温室气体和大气污染气体浓度的影响程度，提出改进现有遥感反演方案的技术思路，为破解我国未来碳卫星和大气环境监测卫星面临的最终数据产品质量难以满足应用需求的遥感瓶颈问题作出重要贡献。

The satellite measurement of the inventories of atmospheric green house gases and atmospheric pollutants, it is vital to deal with the challenges of diplomatic negotiation of global climate change and reducing atmospheric environment pollution, which have close relation to several national key projects of science and technology. However, the key problems in the satellite measurements is: considering the background of high aerosol loading in the most developed regions of China, how can we get the reliable observational data of the atmospheric green house gases and atmospheric pollutants from satellite platforms?　This project plans to do assessment of the effect of high aerosol loading in the northern China on the satellite remote sensing of tmospheric green house gases and atmospheric pollutants, by means of numerical simulation of the complex procedures of light scattering due to atmospheric aerosols by utilizing the advanced radiative transfer model, and by comprehensive observation of aerosol optical depth, size distribution, absorption property, and their vertical distributions of atmospheric aerosols. This study is trying to propose the technical methods of improving the current satellite remote sensing algorithm, making important contribution to the challenge problems in reducing the uncertainty of the data products of the future satellites of measuring CO2 concentration and atmospheric environment.