Articles | Volume 14, issue 10
https://doi.org/10.5194/amt-14-6601-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-14-6601-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
13 Oct 2021
Research article |
| 13 Oct 2021
| 13 Oct 2021
Atmospheric carbon dioxide measurement from aircraft and comparison with OCO-2 and CarbonTracker model data
Qin Wang
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, Nanjing University of Information Science and
Technology (NUIST), Nanjing 210044, China
Farhan Mustafa
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, Nanjing University of Information Science and
Technology (NUIST), Nanjing 210044, China
Lingbing Bu
CORRESPONDING AUTHOR
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, Nanjing University of Information Science and
Technology (NUIST), Nanjing 210044, China
Shouzheng Zhu
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, Nanjing University of Information Science and
Technology (NUIST), Nanjing 210044, China
Key Laboratory of Space Laser Communication and Detection Technology,
Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of
Sciences, Shanghai 201800, China
Jiqiao Liu
Key Laboratory of Space Laser Communication and Detection Technology,
Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of
Sciences, Shanghai 201800, China
Weibiao Chen
Key Laboratory of Space Laser Communication and Detection Technology,
Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of
Sciences, Shanghai 201800, China
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Cited
19 citations as recorded by crossref.
- 大气环境监测卫星二氧化碳探测激光雷达研究进展及应用展望（特邀） 卜. Bu Lingbing et al. https://doi.org/10.3788/AOS251157
- Global-Scale Evaluation of XCO2 Products from GOSAT, OCO-2 and CarbonTracker Using Direct Comparison and Triple Collocation Method Y. Chen et al. https://doi.org/10.3390/rs14225635
- Efficient air pollution mapping in extensive regions with fully autonomous unmanned aerial vehicles: A numerical perspective M. Bakirci https://doi.org/10.1016/j.scitotenv.2023.168606
- Preliminary analysis of global column-averaged CO2 concentration data from the spaceborne aerosol and carbon dioxide detection lidar onboard AEMS C. Fan et al. https://doi.org/10.1364/OE.517736
- Study on the Impact of the Doppler Shift for CO2 Lidar Remote Sensing X. Cao et al. https://doi.org/10.3390/rs14184620
- Improving Model-Based Carbon Dioxide Datasets Using Deep Learning and Satellite Observations F. Mustafa & M. Xu https://doi.org/10.1109/TGRS.2025.3556309
- 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 赖. Lai Kaijie et al. https://doi.org/10.3788/AOS231797
- Averaging Scheme for the Aerosol and Carbon Detection LiDAR Onboard DaQi-1 Satellite X. Cao et al. https://doi.org/10.1109/TGRS.2024.3380639
- Analysis of the Current Situation of CO2 Satellite Observation Y. Li et al. https://doi.org/10.3390/rs17213635
- Development of China's atmospheric environment monitoring satellite CO2 IPDA lidar retrieval algorithm based on airborne campaigns S. Wang et al. https://doi.org/10.1016/j.rse.2024.114473
- Quantifying CO2 emissions of power plants with Aerosols and Carbon Dioxide Lidar onboard DQ-1 G. Han et al. https://doi.org/10.1016/j.rse.2024.114368
- Robust algorithm for precise XCO2 retrieval using single observation of IPDA LIDAR H. Zhang et al. https://doi.org/10.1364/OE.482629
- Spatiotemporal Investigation of Near-Surface CO2 and Its Affecting Factors Over Asia F. Mustafa et al. https://doi.org/10.1109/TGRS.2022.3178125
- Airborne atmospheric carbon dioxide measurement using 1.5 µm laser double-pulse IPDA lidar over a desert area C. Fan et al. https://doi.org/10.1364/AO.507905
- Monitoring of Atmospheric Carbon Dioxide over a Desert Site Using Airborne and Ground Measurements Q. Wang et al. https://doi.org/10.3390/rs14205224
- Assessment of WRF-CO2 simulated vertical profiles of CO2 over Delhi region using aircraft and global model data S. Ballav et al. https://doi.org/10.1007/s44273-024-00030-3
- Local-Scale Horizontal CO2 Flux Estimation Incorporating Differential Absorption Lidar and Coherent Doppler Wind Lidar B. Yue et al. https://doi.org/10.3390/rs14205150
- Spatiotemporal estimation of near-surface CO 2 concentrations over the global continent based on hybrid machine learning model X. Huang et al. https://doi.org/10.1080/19475683.2025.2481067
- Urban Area Observing System (UAOS) simulation experiment using DQ-1 total column concentration observations J. Yi et al. https://doi.org/10.5194/acp-25-13687-2025
19 citations as recorded by crossref.
- 大气环境监测卫星二氧化碳探测激光雷达研究进展及应用展望（特邀） 卜. Bu Lingbing et al. https://doi.org/10.3788/AOS251157
- Global-Scale Evaluation of XCO2 Products from GOSAT, OCO-2 and CarbonTracker Using Direct Comparison and Triple Collocation Method Y. Chen et al. https://doi.org/10.3390/rs14225635
- Efficient air pollution mapping in extensive regions with fully autonomous unmanned aerial vehicles: A numerical perspective M. Bakirci https://doi.org/10.1016/j.scitotenv.2023.168606
- Preliminary analysis of global column-averaged CO2 concentration data from the spaceborne aerosol and carbon dioxide detection lidar onboard AEMS C. Fan et al. https://doi.org/10.1364/OE.517736
- Study on the Impact of the Doppler Shift for CO2 Lidar Remote Sensing X. Cao et al. https://doi.org/10.3390/rs14184620
- Improving Model-Based Carbon Dioxide Datasets Using Deep Learning and Satellite Observations F. Mustafa & M. Xu https://doi.org/10.1109/TGRS.2025.3556309
- 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 赖. Lai Kaijie et al. https://doi.org/10.3788/AOS231797
- Averaging Scheme for the Aerosol and Carbon Detection LiDAR Onboard DaQi-1 Satellite X. Cao et al. https://doi.org/10.1109/TGRS.2024.3380639
- Analysis of the Current Situation of CO2 Satellite Observation Y. Li et al. https://doi.org/10.3390/rs17213635
- Development of China's atmospheric environment monitoring satellite CO2 IPDA lidar retrieval algorithm based on airborne campaigns S. Wang et al. https://doi.org/10.1016/j.rse.2024.114473
- Quantifying CO2 emissions of power plants with Aerosols and Carbon Dioxide Lidar onboard DQ-1 G. Han et al. https://doi.org/10.1016/j.rse.2024.114368
- Robust algorithm for precise XCO2 retrieval using single observation of IPDA LIDAR H. Zhang et al. https://doi.org/10.1364/OE.482629
- Spatiotemporal Investigation of Near-Surface CO2 and Its Affecting Factors Over Asia F. Mustafa et al. https://doi.org/10.1109/TGRS.2022.3178125
- Airborne atmospheric carbon dioxide measurement using 1.5 µm laser double-pulse IPDA lidar over a desert area C. Fan et al. https://doi.org/10.1364/AO.507905
- Monitoring of Atmospheric Carbon Dioxide over a Desert Site Using Airborne and Ground Measurements Q. Wang et al. https://doi.org/10.3390/rs14205224
- Assessment of WRF-CO2 simulated vertical profiles of CO2 over Delhi region using aircraft and global model data S. Ballav et al. https://doi.org/10.1007/s44273-024-00030-3
- Local-Scale Horizontal CO2 Flux Estimation Incorporating Differential Absorption Lidar and Coherent Doppler Wind Lidar B. Yue et al. https://doi.org/10.3390/rs14205150
- Spatiotemporal estimation of near-surface CO 2 concentrations over the global continent based on hybrid machine learning model X. Huang et al. https://doi.org/10.1080/19475683.2025.2481067
- Urban Area Observing System (UAOS) simulation experiment using DQ-1 total column concentration observations J. Yi et al. https://doi.org/10.5194/acp-25-13687-2025
Saved (final revised paper)
Latest update: 15 Oct 2026
Short summary
In this work, an airborne experiment was carried out to validate a newly developed CO2 monitoring IPDA lidar against the in situ measurements obtained from a commercial CO2 monitoring instrument installed on an aircraft. The XCO2 values calculated with the IPDA lidar measurements were compared with the dry-air CO2 mole fraction measurements obtained from the in situ instruments, and the results showed a good agreement between the two datasets.
In this work, an airborne experiment was carried out to validate a newly developed CO2...
