臭氧是地球大气中一种重要的痕量气体，在光化学反应和气候变化中都扮演重要的角色。目前对流层臭氧卫星反演方法存在很大的不确定性。紫外后向散射信号受地表反照率和气溶胶多次散射影响较大，热红外反演大气成分的不确定性大部分在于正向辐射传输模式中输入温湿廓线的误差。由于热红外波段辐射信息主要来自温度，同时存在水汽连续吸收，温湿廓线误差会影响到辐射量和臭氧的权重函数，进而影响臭氧廓线的反演精度。本项目通过研究热红外臭氧廓线反演中温湿廓线误差的影响机制，建立误差订正模型；利用大气模式、地面、地基、探空臭氧观测资料建立我国臭氧廓线先验知识库；建立以紫外臭氧柱总量为约束的热红外臭氧廓线最优化反演模型，通过Lenvenberg-Marquardt方法加强约束；利用多种观测资料对反演模型进行验证、误差分析和不确定性分析；最后利用卫星反演的臭氧廓线资料研究我国对流层臭氧污染的区域特征和输送规律。

Ozone is a particularly critical trace gas in the Earth’s atmosphere, since this molecule plays a key role in the photochemical reaction and climate change. At present, there is a great uncertainty in the inversion of tropospheric ozone. The tropospheric ozone column retrieved from backward scattering in ultraviolet band is influenced by the surface albedo and aerosol absorption. This project analyze and discuss the sensitivity of ozone absorption spectra and weighting function to temperature and water vapor profile in detail. We plan to induce Ozone Total Column as a constraint in the Optimal Estimation Method (OEM) to add more information to a prior. A prior of ozone profiles in China is to be established from the atmospheric chemical model, hourly surface O3 concentration from EPA, ground-based ozone lidar and Multi Axis Differential Optical Absorption Spectroscopy (MAX-DOAS) observations. The channel used in the retrieval is selected from sensitivity analysis to make sure the Averaging Kernel (AK) has peak from low troposphere to up stratosphere. The most important correction is made on the input parameters to the Radiative Transfer Model (RTA) model such as temperature and water vapor profiles. The uncertainty of the ozone profile retrieved from OEM is discussed especially in the lower troposphere. Then the retrieved ozone profiles are to be validated by the ground-based observation, ozonesonde and atmospheric chemical model. Finally the regional characters of tropospheric ozone pollution and its transportation will be studied from ozone profiles retrieved from CrIS measurements.