Airborne atmospheric carbon dioxide measurement using 1.5 μm laser double-pulse IPDA lidar over a desert area

被引:1
作者
Fan, Chuncan [1 ,2 ]
Yang, Juxin [1 ]
Liu, Jiqiao [1 ,3 ,4 ]
Bu, Lingbing [5 ]
Wang, Qin [5 ]
Wei, Chong [6 ]
Zhang, Yang [7 ]
Zhu, Xiaopeng [1 ]
Li, Shiguang [1 ]
Zang, Huaguo [1 ]
Chen, Weibiao [1 ,3 ,4 ]
机构
[1] Chinese Acad Sci, Shanghai Inst Opt & Fine Mech, Aerosp Laser Technol & Syst Dept, Shanghai 201800, Peoples R China
[2] ShanghaiTech Univ, Sch Phys Sci & Technol, Shanghai 201210, Peoples R China
[3] Chinese Acad Sci, Key Lab Space Laser Commun & Detect Technol, Shanghai Inst Opt & Fine Mech, Shanghai 201800, Peoples R China
[4] Laoshan Lab, Qingdao 266237, Shandong, Peoples R China
[5] Nanjing Univ Informat Sci & Technol NUIST, Collaborat Innovat Ctr Forecast & Evaluat Meteorol, Nanjing 210044, Peoples R China
[6] Chinese Acad Sci, Shanghai Carbon Data Res Ctr, Shanghai Adv Res Inst, Shanghai 201210, Peoples R China
[7] Shanghai Inst Satellite Engn, Gen Lab Meteorol & Environm Satellite, Shanghai 201109, Peoples R China
关键词
DIFFERENTIAL-ABSORPTION LIDAR; PERFORMANCE EVALUATION; CO2; OCO-2; AIRCRAFT; VALIDATION; CHINA; CH4;
D O I
10.1364/AO.507905
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
An integrated path differential absorption (IPDA) lidar can accurately measure regional CO 2 weighted column average concentrations (XCO 2 ), which are crucial for understanding the carbon cycle in climate change studies. To verify the performance and data inversion methods of space-borne IPDA lidar, in July 2021, we conducted an airborne lidar validation experiment in Dunhuang, Gansu Province, China. An aircraft was equipped with a lidar system developed to measure XCO 2 and an in situ greenhouse gas analyzer (GGA). To minimize measurement errors, energy monitoring was optimized. The system bias error of the DAOD was determined by changing the laser output mode from the off/on to the on/on mode. The XCO 2 inversion results obtained through comparing the schemes of averaging signals before "log (logarithm)" and averaging after "log" indicate that the former performs better. The IPDA lidar measured XCO 2 over the validation site at 405.57 ppm, and both the IPDA lidar and GGA measured sudden changes in the CO 2 concentration. The assimilation data showed a similar trend according to the altitude to the data measured by the in situ instrument. A comparison of the mean XCO 2 derived from the GGA results and assimilation data with the IPDA lidar measurements showed biases of 0.80 and 1.12 ppm, respectively. (c) 2024 Optica Publishing Group
引用
收藏
页码:2121 / 2131
页数:11
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