大气环境监测卫星星载IPDA激光雷达的大气二氧化碳柱浓度反演及多源数据对比验证  

Inversion and Validation of Atmospheric CO_(2) Column Concentration Inversion of Spaceborne IPDA Lidar Based on Atmospheric Environment Monitoring Satellite

作　　者：赖锴婕 卜令兵[1] 王勤 毛志华 Khalid Muhammad Burhan 樊纯璨 刘继桥[3] 陈卫标[3] 赵少华 Lai Kaijie;Bu Lingbing;Wang Qin;Mao Zhihua;Khalid Muhammad Burhan;Fan Chuncan;Liu Jiqiao;Chen Weibiao;Zhao Shaohua(School of Atmospheric Physics,Nanjing University of Information Science&Technology,Nanjing 210044,Jiangsu,China;Tianjin Meteorological Radar Research and Test Centre,Tianjin 300061,China;Key Laboratory of Space Laser Communication and Detection Technology,Shanghai Institute of Optics and Fine Mechanics,Chinese Academy of Sciences,Shanghai 201800,China;Satellite Application Center for Ecology and Environment,Ministry of Ecology and Environment,Beijing 100094,China)

机构地区：[1]南京信息工程大学大气物理学院,江苏南京210044 [2]天津气象雷达研究试验中心,天津300061 [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 [4]生态环境部卫星环境应用中心,北京100094

出　　处：《光学学报》2024年第12期174-186,共13页Acta Optica Sinica

基　　金：国家自然科学基金(42175145);上海航天科技创新基金(SAST2022-039)。

摘　　要：基于星载积分路径差分吸收(IPDA)激光雷达探测数据对全球二氧化碳柱浓度(XCO_(2))进行反演并利用全球CO_(2)柱浓度观测网(TCCON)、轨道碳观测者2号(OCO-2)卫星以及碳追踪器三者的CO_(2)数据产品验证了反演结果的准确性。结果表明:IPDA激光雷达的反演结果与TCCON的观测结果一致性较好,两者的平均偏差为0.3×10^(-6),决定系数(R2)为0.952,均方根误差(RMSE)为0.584×10^(-6)。与OCO-2和CT的XCO_(2)数据产品的对比结果也显示出IPDA激光雷达反演结果与TCCON数据产品的吻合程度均高于OCO-2卫星与碳追踪器,进一步表明IPDA激光雷达能够获得更准确的全球XCO_(2)观测数据。IPDA激光雷达对于不同地表类型上空的XCO_(2)探测精度存在一定差异,在空间分辨率为50 km(陆地)和100 km(海洋)下,其探测精度主要分布在(0.80~0.82)×10^(-6)与(0.76~0.78)×10^(-6),均满足1×10^(-6)的探测精度要求。星载IPDA激光雷达的全天时、高精度探测技术将在今后全球碳源碳汇研究中发挥重要作用。Objective Carbon dioxide(CO_(2)),a prevalent greenhouse gas,affects the radiation and energy budget of the earthatmospheric system.The continuous increase in CO_(2) concentration has intensified the greenhouse effect globally.Accurate monitoring of CO_(2) concentration is crucial for studying the carbon cycle and greenhouse effect.Traditional ground-based atmospheric CO_(2) detection approaches,although highly accurate and reliable,lack consistent monitoring approach and the capacity to detect on a large-scale,worldwide,or regional basis.Remote sensing retrieval methods based on satellite platforms can provide long-term CO_(2) observation data globally.Nevertheless,passive remote sensing satellites were used for greenhouse gas space-based observation platforms in the past.Because of solar light source limitations,passive satellites can not be used to detect during night time as well as in polar regions.On 16 April,2022,the spaceborne Integrated Path Differential Absorption(IPDA)lidar was successfully launched with the Atmospheric Environment Monitoring Satellite(DQ-1).A year ago,the IPDA lidar has been operating to achieve full day carbon dioxide column concentration(XCO_(2))observations globally with high precision and accuracy.As clouds and aerosols cause potential errors using satellite detection of near surface CO_(2),it is essential to verify the accuracy of XCO_(2) data products acquired by the satellites.We conduct the verification and application of data based on IPDA lidar observations.The analysis results demonstrate crucial data support for researchers to track carbon sources and sinks by fully describing that IPDA lidar can track variations in anthropogenic CO_(2) emissions over time and space and meets the 1×10^(-6) precision design criterion.Methods In combination with the European Center for Medium-Range Weather Forecasts(ECMWFs)atmospheric reanalysis dataset(ERA5)and the latest version(2020 version)of HITRAN data,XCO_(2) was obtained through inversion of IPDA lidar observation data.We validate th

关 键 词：大气二氧化碳 大气环境监测卫星 星载激光雷达 积分路径差分吸收 验证 

分 类 号：P412.27[天文地球—大气科学及气象学]