大气CO₂是重要的温室气体,CO₂浓度及其空间分布是全球气候变化评估中的主要不确定性因素之一.从1998年以来,卫星遥感大气CO₂成为获取全球CO₂的重要手段.本文阐述了现阶段大气CO₂浓度卫星遥感反演进展情况,包括CO₂探测载荷、反演算法和算法验证等.同时,论文详细介绍了近红外波段和热红外波段的反演算法特点和不确定因素,并针对CO₂反演应用需求提出了展望.

Atmospheric carbon dioxide (CO₂) is a primary greenhouse gas, whose concentration and geographic distribution are the key points in global change research. Since 1998, space-based observation has been an important technique for the remote sensing of CO₂ concentration. We present an overview of the advances in space-based remote sensing of CO₂, including the development of remote sensors and inverse algorithms, as well as the calibration of retrieved results. We analyze the uncertainties in inverse methods from observations of both thermal infrared and shortwave infrared techniques. The potential development of CO₂ retrieval is discussed at the end of this paper.