中文摘要：

在地球大气能量收支平衡过程中，云具有特别显著的调节作用，是影响气候变化的一个非常重要因子，云的辐射特性和它的高度影响到辐射的收支可以导致地球的变暖或变冷。云顶气压是一个非常重要的云参数。目前有很多方法被用来估计云参数，而CO2薄片算法则是使用被动遥感资料反演云顶性质的重要方法之一。这项技术应用于HIRS资料上已经有20年的历史，而EOS系列地球环境卫星的升空，使EOS上搭载的MODIS探测器成为第一个拥有CO2薄片波段的高空间分辨率探测器。本文描述CO2薄片算法的理论模型和应用中的问题，结合实例进行分析，并讨论误差，以及对未来的展望。

英文摘要：

Cloudtop properties is one of the important cloud properties. Cloudtop properties include cloudtop pressure,cloudtop temperature and cloud effective emissivity. One of the greatest current uncertainties in Global Climate Models is the role of clouds. The CO2 slicing algorithm is one of the important method for retrieval of cloudtop properties. It is based on the difference in atmospheric absorption due to CO2 between two spectrally neighboring channels in the wings of CO2 absorption band near 15 μm at lkm resolution. This technique has been applied to HIRS data for about 20 years. Since Earth Observing System （EOS） platform launched in December 1999, The Moderate Resolution Imaging Spectroradiometer（MODIS） has been the first sensor to have CO2 slicing bands at high spatial resolution. This paper mainly describes the theoretical model of CO2 slicing and its applications. An analysis of the characteristics of the method and estimate of errors will also be discussed. Finally, research issues are recommended for future studies.