1.57μm IPDA激光雷达云回波信号CO_(2)柱浓度测量研究  

Carbon Dioxide Column Concentration Measurement Based on Cloud Echo Signal of 1.57μm IPDA Lidar

作　　者：高雪洁 刘继桥[1,2,3] 樊纯璨 陈橙 杨巨鑫 李世光 谢缘[1] 竹孝鹏 陈卫标[1,2,3] Gao Xuejie;Liu Jiqiao;Fan Chuncan;Chen Cheng;Yang Juxin;Li Shiguang;Xie Yuan;Zhu Xiaopeng;Chen Weibiao(Space Laser Engineering Department,Shanghai Institute of Optics and Fine Mechanics,Chinese Academy of Sciences,Shanghai 201800,China;Center of Materials Science and Optoelectronics Engineering,University of Chinese Academy of Sciences,Beijing 100049,China;Key Laboratory of Space Laser Communication and Detection Technology,Shanghai Institute of Optics and Fine Mechanics,Chinese Academy of Sciences,Shanghai 201800,China)

机构地区：[1]中国科学院上海光学精密机械研究所航天激光工程部,上海201800 [2]中国科学院大学材料与光电研究中心,北京100049 [3]中国科学院上海光学精密机械研究所空间激光信息传输与探测技术重点实验室,上海201800

出　　处：《中国激光》2023年第23期202-214,共13页Chinese Journal of Lasers

基　　金：中国科学院国际合作伙伴关系计划(18123KYSB20210013);上海科技创新行动计划(22dz208700);中国科学院战略性重点研究计划(XDA19090100)。

摘　　要：路径积分差分吸收(IPDA)激光雷达可装载于飞机或卫星上探测大范围大气CO_(2)浓度,具有全天时和探测精度高的优势。全球云的平均覆盖率可达60%,因此在激光穿透大气射向地面的探测过程中,除了地面和海洋回波信号,还有很多云层回波信号。结合机载大气探测激光雷达(ACDL)信号采集特点,针对复杂的云层回波信号,提出一种基于中位数绝对偏差的离群值筛选法提取信号,可分离多层云回波信号及云层与地面回波信号同时存在的信号。分析云信号的探测能力,并利用云层回波信号积分值反演云上CO_(2)柱浓度,结果与原位测量仪测量结果变化趋势一致,二者偏差为2.8μL/L。Objective Since the industrial revolution,anthropogenic activities have resulted in unprecedented carbon emissions that exceed the carbon sink capacity of terrestrial and marine ecosystems,with CO_(2)concentrations increasing by approximately 30%over the last few decades to 418μL/L by 2022.To meet the needs to effectively implement carbon emission management,lidar detection based on the differential absorption principle has been proposed using the existing technology.With an average global cloud coverage of up to 60%,there are many cloud echo signals in addition to ground and ocean echo signals when laser penetrates the atmosphere to the ground,and effective use of cloud echo signals can improve data utilization and contribute to the analysis of carbon sources and sinks.For complex cloud echo signals,an outlier screening method based on the absolute deviation from the median is proposed to extract signals,which can separate multi-layer cloud echo signals and the signals in which the cloud and ground echo signals co-exist.In addition,this paper analyzes the detection capability of cloud signals,studies effective data processing methods for cloud echo signals to calculate the CO_(2)column concentration on the cloud,and compares the results with the data obtained with in-situ instrument.Methods This paper uses data from an airborne flight experiment conducted by the integrated path differential absorption(IPDA)lidar system in Qinhuangdao in March 2019.Firstly,the types of signals that may be received by the IPDA lidar are analyzed,and an outlier screening method based on the absolute deviation from the median is proposed to extract the echo signals.A correction method for the target altitudes is proposed,and the extraction results are compared with those extracted using the traditional minimum method.Secondly,the online and offline monitor signals and echo signals of the clouds are analyzed,and data suitable for CO_(2)column concentration inversion are selected.Then,the relative reflectance of the clouds is calcula

关 键 词：遥感 差分吸收激光雷达 二氧化碳柱浓度 云回波信号 差分吸收光学厚度 大气遥感 

分 类 号：P407.5[天文地球—大气科学及气象学]