Articles | Volume 18, issue 9
https://doi.org/10.5194/amt-18-2021-2025
© 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/amt-18-2021-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
ACDL/DQ-1 calibration algorithms – Part 1: Nighttime 532 nm polarization and the high-spectral-resolution channel
Fanqian Meng
College of Marine Technology, Faculty of Information Science and Engineering, Ocean University of China, Qingdao, 266100, China
Junwu Tang
Laoshan Laboratory, Qingdao, 266200, China
Guangyao Dai
CORRESPONDING AUTHOR
College of Marine Technology, Faculty of Information Science and Engineering, Ocean University of China, Qingdao, 266100, China
Wenrui Long
College of Marine Technology, Faculty of Information Science and Engineering, Ocean University of China, Qingdao, 266100, China
Kangwen Sun
College of Marine Technology, Faculty of Information Science and Engineering, Ocean University of China, Qingdao, 266100, China
Zhiyu Zhang
College of Marine Technology, Faculty of Information Science and Engineering, Ocean University of China, Qingdao, 266100, China
Xiaoquan Song
College of Marine Technology, Faculty of Information Science and Engineering, Ocean University of China, Qingdao, 266100, China
Laoshan Laboratory, Qingdao, 266200, 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
Songhua Wu
College of Marine Technology, Faculty of Information Science and Engineering, Ocean University of China, Qingdao, 266100, China
Laoshan Laboratory, Qingdao, 266200, China
Institute for Advanced Ocean Study, Ocean University of China, Qingdao, 266100, China
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Cited
11 citations as recorded by crossref.
- Measurements of the cirrus clouds color ratio from the spaceborne aerosol and carbon dioxide detection lidar onboard DQ-1 Z. Bi et al. https://doi.org/10.1364/AO.588338
- Linear-Fitting calibration algorithm for Aerosol-Cloud detection channels at 532 nm of the DQ-1/ACDL F. Mao et al. https://doi.org/10.1016/j.jag.2026.105504
- ACDL/DQ-1 calibration algorithms. Part II: daytime 532 nm polarization and high-spectral-resolution channels F. Meng et al. https://doi.org/10.1364/AO.604963
- Aerosol-cloud layer detection algorithm of the DQ-1/ACDL F. Mao et al. https://doi.org/10.1016/j.rse.2025.115068
- Well-Posed Global 3-D Retrieval of Background Aerosol Optical Properties From the DQ-1/ACDL L. Dai et al. https://doi.org/10.1109/TGRS.2026.3670839
- Development of spaceborne high-spectral-resolution lidar retrieval algorithm for ACDL/DQ-1 aerosols and clouds observation: improvements and analysis G. Dai et al. https://doi.org/10.1080/15481603.2026.2702220
- ACDL/DQ-1 measurements of global cloud heights and geometric thickness: results and intercomparison with CALIOP products K. Zhang et al. https://doi.org/10.1080/01431161.2026.2680266
- Quantifying Discrepancies Between Spaceborne and Ground-Based Lidar Aerosol Vertical Profiles over Coastal Sea–Land Transition Zones S. Zhang et al. https://doi.org/10.3390/rs18101491
- Derived Colored Dissolved Organic Matter Absorption Using High Spectral Resolution Lidar Y. Zhang et al. https://doi.org/10.1109/LGRS.2026.3708495
- Observation and analysis of benzene concentration from integrated path differential absorption lidar through different open-path lengths S. Guan et al. https://doi.org/10.1016/j.measurement.2025.119634
- Slant Visual Range Retrieval and Analysis With Multisource Satellite Observations and SBDART Model W. Chu et al. https://doi.org/10.1109/TGRS.2026.3682446
11 citations as recorded by crossref.
- Measurements of the cirrus clouds color ratio from the spaceborne aerosol and carbon dioxide detection lidar onboard DQ-1 Z. Bi et al. https://doi.org/10.1364/AO.588338
- Linear-Fitting calibration algorithm for Aerosol-Cloud detection channels at 532 nm of the DQ-1/ACDL F. Mao et al. https://doi.org/10.1016/j.jag.2026.105504
- ACDL/DQ-1 calibration algorithms. Part II: daytime 532 nm polarization and high-spectral-resolution channels F. Meng et al. https://doi.org/10.1364/AO.604963
- Aerosol-cloud layer detection algorithm of the DQ-1/ACDL F. Mao et al. https://doi.org/10.1016/j.rse.2025.115068
- Well-Posed Global 3-D Retrieval of Background Aerosol Optical Properties From the DQ-1/ACDL L. Dai et al. https://doi.org/10.1109/TGRS.2026.3670839
- Development of spaceborne high-spectral-resolution lidar retrieval algorithm for ACDL/DQ-1 aerosols and clouds observation: improvements and analysis G. Dai et al. https://doi.org/10.1080/15481603.2026.2702220
- ACDL/DQ-1 measurements of global cloud heights and geometric thickness: results and intercomparison with CALIOP products K. Zhang et al. https://doi.org/10.1080/01431161.2026.2680266
- Quantifying Discrepancies Between Spaceborne and Ground-Based Lidar Aerosol Vertical Profiles over Coastal Sea–Land Transition Zones S. Zhang et al. https://doi.org/10.3390/rs18101491
- Derived Colored Dissolved Organic Matter Absorption Using High Spectral Resolution Lidar Y. Zhang et al. https://doi.org/10.1109/LGRS.2026.3708495
- Observation and analysis of benzene concentration from integrated path differential absorption lidar through different open-path lengths S. Guan et al. https://doi.org/10.1016/j.measurement.2025.119634
- Slant Visual Range Retrieval and Analysis With Multisource Satellite Observations and SBDART Model W. Chu et al. https://doi.org/10.1109/TGRS.2026.3682446
Saved (final revised paper)
Latest update: 01 Nov 2026
Short summary
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 %.
This paper presents a comprehensive calibration procedure for the first spaceborne...
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