地表温度是表征地表能量平衡和气候变化的一项重要指示性指标，国内外学者目前已发展了多种热红外数据地表温度遥感反演算法，反演精度日趋提高。但传统热红外地表温度反演算法多以晴空条件作为理论基础，当卷云这种在全球尺度范围内常见又半透明的大气现象出现时，晴空算法将无法适用或带来较大反演误差。为反演卷云下地表温度，首先综合分析卷云光学厚度、等效粒径和云顶高度等参数变化对热红外地表温度反演的影响。其次，构建考虑卷云吸收和散射影响的热红外通道大气辐射传输方程，假设不同通道间大气以及卷云的等效温度相等，通过多个通道联立求解地表温度或在晴空算法基础上增加误差修正项，并利用卷云相关遥感信息对物理指标进行参数化，构建一套考虑卷云影响的热红外地表温度反演模型。最后选择若干具有代表性的验证场地对反演模型进行真实性检验，提高卷云下地表温度反演精度，为数值气象模拟和气候变化研究提供精确且覆盖更全面的基础数据做出贡献。

Land surface temperature (LST) is an important indicative parameter for the study of land surface energy budget and climatic variations, and the retrieval of LST using satellite thermal infrared data is widely studied with various retrieval algorithms been proposed. However, those algorithms are mostly developed based on the clear-sky criteria. Thus, under semitransparent cirrus-skies that frequently occurred at global scale, the LST can be estimated with a large error or filled with null. To address the issues, the influences of cirrus optical depth, effective radius, and cloud top high on estimation of LST will be studied. In addition, the cirrus-sky atmospheric radiative transfer equation in thermal infrared channel is proposed with considering the influences of cirrus absorption and scattering. Based on the up to date products of remote sensing technique for cirrus parameters, the LST retrieval algorithm will be proposed with solving the multivariable equations of thermal infrared channels or with adding the correction term based on the traditional clear-sky algorithm, assuming that the atmospheric and cirrus radiative temperatures are equivalent between different channels, respectively. Finally, the accuracy of the proposed algorithm will be evaluated at some elaborately selected representative and homogeneous test sites. The method proposed in this study can be valuable for the numerical weather simulation and climate change research in the future work.