Articles | Volume 25, issue 13
https://doi.org/10.5194/acp-25-6725-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-25-6725-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Jul 2025
Research article |
| 03 Jul 2025
| 03 Jul 2025
Estimation of diurnal emissions of CO2 from thermal power plants using spaceborne integrated path differential absorption (IPDA) lidar
Xuanye Zhang
State Key Laboratory of Environment Characteristics and Effects for Near-space, Nanjing University of Information Science and Technology, Nanjing, 210044, China
Hailong Yang
Shanghai Satellite Engineering Research Institute, Shanghai, 201109, China
Lingbing Bu
CORRESPONDING AUTHOR
State Key Laboratory of Environment Characteristics and Effects for Near-space, Nanjing University of Information Science and Technology, Nanjing, 210044, China
Zengchang Fan
State Key Laboratory of Environment Characteristics and Effects for Near-space, Nanjing University of Information Science and Technology, Nanjing, 210044, China
Yale-NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing, 210044, China
Binglong Chen
Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, National Satellite Meteorological Center (National Center for Space Weather), China Meteorological Administration, Innovation Center for FengYun Meteorological Satellite (FYSIC), Beijing, 100081, China
Lu Zhang
Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, National Satellite Meteorological Center (National Center for Space Weather), China Meteorological Administration, Innovation Center for FengYun Meteorological Satellite (FYSIC), Beijing, 100081, China
Sihan Liu
Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment, Beijing, China
Zhongting Wang
Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment, Beijing, China
Jiqiao Liu
Key Laboratory of Space Laser Communication and Detection Technology, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy Of Sciences, Shanghai, China
Weibiao Chen
Key Laboratory of Space Laser Communication and Detection Technology, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy Of Sciences, Shanghai, China
Xuhui Lee
School of the Environment, Yale University, New Haven, CT, USA
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EGUsphere, https://doi.org/10.5194/egusphere-2026-3759, https://doi.org/10.5194/egusphere-2026-3759, 2026
This preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).
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This study uses one year of observations from the DQ-1 spaceborne integrated path differential absorption (IPDA) lidar to evaluate the random errors of atmospheric carbon dioxide retrievals and their reduction through along-track averaging. We show that random errors vary with surface type and recommend different averaging numbers and a dynamic averaging strategy for land–sea boundaries. These results provide practical guidance for future spaceborne IPDA lidar carbon dioxide observations.
Yun Cao, Jian Shang, Lei Yang, Hongquan Yao, Chengbao Liu, Xiaopeng Zhu, Xinghui Zhao, Pan Huang, Jiqiao Liu, Jing Wang, and Zhiqing Zhang
EGUsphere, https://doi.org/10.5194/egusphere-2026-1163, https://doi.org/10.5194/egusphere-2026-1163, 2026
This preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).
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We proposed the novel validation technique of the image navigation accuracy for FY-4A GIIRS using GLPS. The GLPS points at FY-4A satellite and continuously transmits laser signals. The laser signal is capable of propagating through the atmosphere and being captured by GIIRS. The laser tests demonstrate that EW deviations are within 0.35 pixel, and NS deviations are within 0.45 pixel. This validates that the navigation accuracy of GIIRS is adequate to support the needs of backend applications.
Ruijie Zhang, Lu Zhang, Xingying Zhang, Peng Zhang, Minqiang Zhou, Xifeng Cao, Chonghui Cheng, and Huirong Yang
EGUsphere, https://doi.org/10.5194/egusphere-2026-3007, https://doi.org/10.5194/egusphere-2026-3007, 2026
This preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).
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Measuring carbon dioxide from individual power plants is important for checking emissions, but satellite observations face a trade-off: sharper views are often noisier, while averaging many measurements can blur the plume. We used China’s Daqi-1 satellite data, simulations, and real power plant cases to test how much averaging is useful. We found that no single setting is best. Reliable estimates must balance noise reduction, plume detail, and the number of useful observations.
Jun Wang, Honghui Xu, Wei Xiao, Yuting Pang, Ning Hu, Jiaping Xu, Yibo Liu, Lingbing Bu, Chang Cao, Zhonghao Yang, Tianhao Wang, Lei Jia, Jinhui Wu, Mi Zhang, and Xuhui Lee
Atmos. Chem. Phys., 26, 8169–8184, https://doi.org/10.5194/acp-26-8169-2026, https://doi.org/10.5194/acp-26-8169-2026, 2026
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We focused on CO2 and CH4 characteristics in urban atmospheric boundary layer (ABL). Results showed that CO2 and CH4 in the ABL were consistently higher than those in the free atmosphere. The inversion jump values of CO2 and CH4 over Beijing were both larger than those over Nanjing. Based on CH4 : CO2, we found that inventory might have overlooked the energy transition occurring in cities, while also demonstrating that one-dimensional slab model is inadequate for urban greenhouse gas budgets.
Huanhuan Yan, Andreas Richter, Xingying Zhang, Anja Schönhardt, Thomas Visarius, Qian Wang, Lu Zhang, Yichen Li, Chao Yu, and Weihe Wang
Atmos. Meas. Tech., 19, 2279–2311, https://doi.org/10.5194/amt-19-2279-2026, https://doi.org/10.5194/amt-19-2279-2026, 2026
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The Ozone Monitoring Suite (OMS) launched in August 2023 is a new Chinese hyperspectral UV-VIS (Ultraviolet-Visible) instrument. This study used the OMS measurements and Differential Optical Absorption Spectroscopy (DOAS) inversion to for the first time retrieve global SO2 columns from OMS. The results show that the OMS SO2 retrievals exhibit good stability over clean oceanic regions, successfully capture volcanic SO2 plumes, and effectively detect the elevated SO2 columns from anthropogenic emissions.
Pingyi Dong, Xingwen Jiang, Xingbing Zhao, Yuanchang Dong, Jiafeng Zheng, Chun Hu, Guolu Gao, Lei Liu, Shulei Li, and Lingbing Bu
Atmos. Meas. Tech., 19, 1407–1419, https://doi.org/10.5194/amt-19-1407-2026, https://doi.org/10.5194/amt-19-1407-2026, 2026
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A method is developed and validated for retrieving vertical profiles of the raindrop size distributions (DSD) parameters from a single-frequency Ka-band radar in this study. Some unique characteristics of the vertical profiles of DSD parameters in the eastern Tibetan Plateau are found. The empirical relationships for quantitative precipitation estimates and attenuation correction in the eastern Tibetan Plateau with Ka-band radar are derived.
Ziyu Bi, Jianbo Hu, Yuan Xie, Decang Bi, Xiaopeng Zhu, Jiqiao Liu, and Weibiao Chen
Atmos. Meas. Tech., 18, 7565–7580, https://doi.org/10.5194/amt-18-7565-2025, https://doi.org/10.5194/amt-18-7565-2025, 2025
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We developed an improved method to estimate the size and amount of aerosol particles using measurements from the world’s first spaceborne high spectral resolution lidar. Tests with different aerosol types show that the method can provide reliable results and improve the description of larger particles. This work demonstrates the potential of future satellite observations to deliver a clearer picture of global air pollution and its role in climate.
Fanqian Meng, Junwu Tang, Guangyao Dai, Wenrui Long, Kangwen Sun, Zhiyu Zhang, Xiaoquan Song, Jiqiao Liu, Weibiao Chen, and Songhua Wu
Atmos. Meas. Tech., 18, 2021–2039, https://doi.org/10.5194/amt-18-2021-2025, https://doi.org/10.5194/amt-18-2021-2025, 2025
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This paper presents a comprehensive calibration procedure for the first spaceborne high-spectral-resolution lidar with an iodine vapor absorption filter Aerosol and Carbon Detection Lidar (ACDL) on board DQ-1 by utilizing nighttime 532 nm multi-channel data. We analyzed the error sources of the multi-channel calibration coefficients and assessed the results. The results indicate that the uncertainty of the clear-air scattering ratio was within the anticipated range of 7.9 %.
Mengyuan Wang, Min Min, Jun Li, Han Lin, Yongen Liang, Binlong Chen, Zhigang Yao, Na Xu, and Miao Zhang
Atmos. Chem. Phys., 24, 14239–14256, https://doi.org/10.5194/acp-24-14239-2024, https://doi.org/10.5194/acp-24-14239-2024, 2024
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Although machine learning technology is advanced in the field of satellite remote sensing, the physical inversion algorithm based on cloud base height can better capture the daily variation in the characteristics of the cloud base.
Chenxing Zha, Lingbing Bu, Zhi Li, Qin Wang, Ahmad Mubarak, Pasindu Liyanage, Jiqiao Liu, and Weibiao Chen
Atmos. Meas. Tech., 17, 4425–4443, https://doi.org/10.5194/amt-17-4425-2024, https://doi.org/10.5194/amt-17-4425-2024, 2024
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China has launched the atmospheric environment monitoring satellite DQ-1, which consists of an advanced lidar system. Our research presents a retrieval algorithm of the DQ-1 lidar system, and the retrieval results are consistent with other datasets. We also use the DQ-1 dataset to investigate dust and volcanic aerosols. This research shows that the DQ-1 lidar system can accurately measure the Earth's atmosphere and has potential for scientific applications.
Rong Mao, Xin Luo, Jiu Jimmy Jiao, Xiaoyan Shi, and Wei Xiao
EGUsphere, https://doi.org/10.5194/egusphere-2024-1513, https://doi.org/10.5194/egusphere-2024-1513, 2024
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Lake Taihu is the largest eutrophic lake in China that is shallow with a dense river network. Eutrophication is frequently observed in the lake due to excess pollutant loadings. Understanding water transport is essential for solving the problem. We developed an age-tracking rainfall mixing model to calculate residence time of rain and river water using isotope data. The variation of mixing ratio of rainwater is also estimated. The isotope data indicates the control factors of mixing in the lake.
Kangwen Sun, Guangyao Dai, Songhua Wu, Oliver Reitebuch, Holger Baars, Jiqiao Liu, and Suping Zhang
Atmos. Chem. Phys., 24, 4389–4409, https://doi.org/10.5194/acp-24-4389-2024, https://doi.org/10.5194/acp-24-4389-2024, 2024
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This paper investigates the correlation between marine aerosol optical properties and wind speeds over remote oceans using the spaceborne lidars ALADIN and CALIOP. Three remote ocean areas are selected. Pure marine aerosol optical properties at 355 nm are derived from ALADIN. The relationships between marine aerosol optical properties and wind speeds are analyzed within and above the marine atmospheric boundary layer, revealing the effect of wind speed on marine aerosols over remote oceans.
Guangyao Dai, Songhua Wu, Wenrui Long, Jiqiao Liu, Yuan Xie, Kangwen Sun, Fanqian Meng, Xiaoquan Song, Zhongwei Huang, and Weibiao Chen
Atmos. Meas. Tech., 17, 1879–1890, https://doi.org/10.5194/amt-17-1879-2024, https://doi.org/10.5194/amt-17-1879-2024, 2024
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An overview is given of the main algorithms applied to derive the aerosol and cloud optical property product of the Aerosol and Carbon Detection Lidar (ACDL), which is capable of globally profiling aerosol and cloud optical properties with high accuracy. The paper demonstrates the observational capabilities of ACDL for aerosol and cloud vertical structure and global distribution through two optical property product measurement cases and global aerosol optical depth profile observations.
Qiantao Liu, Zhongwei Huang, Jiqiao Liu, Weibiao Chen, Qingqing Dong, Songhua Wu, Guangyao Dai, Meishi Li, Wuren Li, Ze Li, Xiaodong Song, and Yuan Xie
Atmos. Meas. Tech., 17, 1403–1417, https://doi.org/10.5194/amt-17-1403-2024, https://doi.org/10.5194/amt-17-1403-2024, 2024
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The achieved results revealed that the ACDL observations were in good agreement with the ground-based lidar measurements during dust events. The heights of cloud top and bottom from these two measurements were well matched and comparable. This study proves that the ACDL provides reliable observations of aerosol and cloud in the presence of various climatic conditions, which helps to further evaluate the impacts of aerosol on climate and the environment, as well as on the ecosystem in the future.
Fanqian Meng, Junwu Tang, Guangyao Dai, Wenrui Long, Kangwen Sun, Zhiyu Zhang, Xiaoquan Song, Jiqiao Liu, Weibiao Chen, and Songhua Wu
EGUsphere, https://doi.org/10.5194/egusphere-2024-588, https://doi.org/10.5194/egusphere-2024-588, 2024
Preprint archived
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This paper presents a comprehensive calibration procedure for the first spaceborne high-spectral-resolution lidar with an iodine vapor absorption filter ACDL on board DQ-1 by utilizing nighttime 532 nm multi-channel data. And analyzed the error sources of the multi-channel calibration coefficients and assessed the results. The results shows that the ACDL polarization channel calibration is reliable and operates within the expected error range of approximately 5 %.
Mengyuan Wang, Min Min, Jun Li, Han Lin, Yongen Liang, Binlong Chen, Zhigang Yao, Na Xu, and Miao Zhang
EGUsphere, https://doi.org/10.5194/egusphere-2023-2843, https://doi.org/10.5194/egusphere-2023-2843, 2023
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Our study primarily addresses the feasibility of employing advanced machine learning and physics-based algorithms to capture the diurnal variations in cloud base height parameters using geostationary meteorological satellite remote sensing. The results indicated that the caution is warranted when utilizing cloud base property products trained on satellite and laser radar data for climate research. Fixed training samples might obscure the pronounced diurnal variations in cloud base heights.
Farhan Mustafa, Lingbing Bu, Qin Wang, Na Yao, Muhammad Shahzaman, Muhammad Bilal, Rana Waqar Aslam, and Rashid Iqbal
Atmos. Meas. Tech., 14, 7277–7290, https://doi.org/10.5194/amt-14-7277-2021, https://doi.org/10.5194/amt-14-7277-2021, 2021
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A neural-network-based approach was suggested to estimate CO2 emissions using satellite-based net primary productivity (NPP) and XCO2 retrievals. XCO2 anomalies were calculated for each year using OCO-2 retrievals. A Generalized Regression Neural Network (GRNN) model was then built; NPP, XCO2 anomalies, and ODIAC CO2 emissions from 2015 to 2018 were used as a training dataset; and, finally, CO2 emissions were predicted for 2019 based on the NPP and XCO2 anomalies calculated for the same year.
Qin Wang, Farhan Mustafa, Lingbing Bu, Shouzheng Zhu, Jiqiao Liu, and Weibiao Chen
Atmos. Meas. Tech., 14, 6601–6617, https://doi.org/10.5194/amt-14-6601-2021, https://doi.org/10.5194/amt-14-6601-2021, 2021
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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.
Tao Tang, Drew Shindell, Yuqiang Zhang, Apostolos Voulgarakis, Jean-Francois Lamarque, Gunnar Myhre, Gregory Faluvegi, Bjørn H. Samset, Timothy Andrews, Dirk Olivié, Toshihiko Takemura, and Xuhui Lee
Atmos. Chem. Phys., 21, 13797–13809, https://doi.org/10.5194/acp-21-13797-2021, https://doi.org/10.5194/acp-21-13797-2021, 2021
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Previous studies showed that black carbon (BC) could warm the surface with decreased incoming radiation. With climate models, we found that the surface energy redistribution plays a more crucial role in surface temperature compared with other forcing agents. Though BC could reduce the surface heating, the energy dissipates less efficiently, which is manifested by reduced convective and evaporative cooling, thereby warming the surface.
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Short summary
This study utilized the IPDA (integrated path differential absorption) lidar on board the DQ-1 satellite to monitor emissions from localized strong point sources and, for the first time, observed the diurnal variation in CO2 emissions from a high-latitude power plant. Overall, power plant CO2 emissions were largely consistent with local electricity consumption patterns, with most plants emitting less at night than during the day and with higher emissions in winter compared to spring and autumn.
This study utilized the IPDA (integrated path differential absorption) lidar on board the DQ-1...
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