作为气象学和气候学研究的重要参量，温湿廓线在辐射传输过程、层结稳定度、对流有效位能、降水过程以及云的形成和演变过程中具有重要作用。目前，对大气温湿廓线的遥感探测主要有激光雷达、微波辐射计以及红外高光谱分辨率探测器等探测技术。总结了地基红外高光谱遥感大气温湿廓线在仪器、反演算法等方面的研究进展，重点介绍了统计反演算法和物理反演算法的基本原理，具体分析了不同算法在反演精度、稳定性和计算时间等方面的技术特点。最后，对目前地基红外高光谱遥感大气温湿廓线反演中存在的问题及未来的发展趋势进行了探讨。

As the important parameters for meteorological and climate research, temperature and water vapor profiles are of importance to the study of radiation transfer, vertical stability, convective available potential energy, precipitation and cloud formation and evolution. At present, the main remote sensing techniques for detecting temperature and water vapor profiles include laser radars, microwave radiometers and hyper-spectral resolution detectors. The instruments and algorithms for temperature and water and vapor profile retrieval by ground-based infrared hyper-spectral remote sensing are summarized. The basic principles of statistical retrieval algorithms and physical retrieval algorithms are presented emphatically. The technical features of different algorithms in retrieval accuracy, stability and computing time are analyzed in detail. Finally, the limitation and future trend of the current atmospheric temperature and water vapor profile retrieval by infrared hyper-spectral remote sensing are discussed.