差分吸收大气CO_2激光雷达的大气压力增宽修正算法

Atmospheric Pressure Broadening Correction Algorithm of Differential Absorption Atmospheric CO_2 Lidar

CO2作为温室气体主要成分对全球气候有重要的影响。现有的被动观测设备都只能获得单点上空的CO2浓度值,而差分吸收激光雷达在探测CO2方面具有巨大优势,可以获得较高的时空分辨率。然而,在利用差分吸收激光雷达探测CO2浓度时,其中的压力增宽有不可忽视的重要影响。基于此着重对压力增宽进行分析,提出新的修正算法,新方法同经典算法相比较,减小了反演过程中的误差。实验中分别对一例仿真信号和实测信号进行反演,最终获得了CO2浓度垂直廓线分布较为理想的结果,验证了新修正算法的可行性。

CO2, as the main component of greenhouse gases, has a major impact on the global climate. Currently, passive observation equipment can only get the CO2 concentration over a single point. However, differential absorption lidar has great advantages in the detection of CO2 and can get higher spatial and temporal resolution. At present, when using the differential absorption lidar to detect the concentration of CO2, the pressure broadening cannot be ignored. Focusing on the analysis of pressure broadening, a new correction algorithm is proposed which reduces the error in the inversion process when compared with the classical algorithm. After the inversion of the analog signal and measured signal, ultimately, the ideal results of the vertical profile of CO2 concentration distribution are ~ot and the feasibility of the new correction allzorithm is verified.