项目拟基于地基高分辨率红外辐射观测，建立一套全天时云和大气边界层温湿廓线综合反演算法。主要分为以下三部分工作，1）利用CO2切片法实现云参数反演，并验证反演结果；2）比较不同地基红外云层反演算法的优缺点，同时分析各类误差对反演算法的影响；3）改进晴天温湿廓线反演算法，建立云天大气廓线反演算法，实现云及边界层大气廓线的综合反演。

Based on the ground-based high-resolution infrared radiance, the motivation of the project is to develop a comprehensive retrieval method for the cloud and vertical profiles of temperature and moisture in the atmospheric boundary layer. It includes three detailed procedures. Firstly, we will retrieve cloud parameters using CO2 slicing method, and evaluate the accuracy of retrieval results. Secondly, the comparison of different cloud retrieval methods will be conducted, and the impact of different errors on retrieval methods will also be estimated. Finally, a comprehensive retrieval algorithm for the cloudy sky will be developed based on retrieval methods of the cloud and atmospheric profiles.