项目计划发展一套在短波红外波段适用的快速、高精度矢量辐射传输计算方法，为已在轨运行和未来计划的高精度大气温室气体探测卫星数据反演提供支撑。苛刻的精度需求是温室气体卫星遥感观测成败的关键，辐射传输计算是高精度反演的重要核心之一。满足精度要求的逐线计算需要耗费大量的时间和资源，很难应对当今和未来海量卫星数据反演计算的需求。本研究将在分析大气垂直光学性质对辐射传输计算敏感性的基础上，发展以大气分子吸收系数垂直廓线为标识的聚类分析方法，以充分考虑大气垂直光学性质在辐射传输计算中的影响，突破传统相关k-分布方法仅考虑柱总光学厚度的限制，实现在快速辐射传输计算的同时，保证计算精度。并通过与逐线计算的直接对比和卫星实测数据的反演应用对计算方法进行评估。

In this proposal, a new approach of fast and high-precision vector radiative transfer method that applicable in the short-wave infrared will be developed to provide support for the retrieval of atmospheric greenhouse gas satellite measurement that already in orbit and planned in the near future. The super high precision requirement is the key to the success of greenhouse gas satellite measurement to further data application, and radiative transfer method is one of the importance of high precision retrieval. The line-by-line calculation to meet the accuracy requirement consume a lot of time and computing resources, and it is difficult to meet the requirement of the retrieval of massive satellite data. Based on the analysis of the sensitivity of atmospheric vertical optical properties to the calculation of radiative transfer, this study will develop a clustering method marked by the profile of atmospheric molecular absorption coefficient to fully consider the impact of atmospheric vertical optical properties on the calculation precision, break through the limitation of traditional correlation k-distribution method that only considers the total column optical depth, to ensuring the calculation accuracy. The fast radiative transfer method will be evaluated by direct comparison with line-by-line calculation and retrieval test of satellite measurement.