Articles | Volume 17, issue 7
https://doi.org/10.5194/amt-17-1879-2024
© Author(s) 2024. 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-17-1879-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Apr 2024
Research article |
| 03 Apr 2024
| 03 Apr 2024
Aerosol and cloud data processing and optical property retrieval algorithms for the spaceborne ACDL/DQ-1
Guangyao Dai
College of Marine Technology, Faculty of Information Science and Engineering, Ocean University of China, Qingdao, 266100, China
Songhua Wu
CORRESPONDING AUTHOR
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
Wenrui Long
College of Marine Technology, Faculty of Information Science and Engineering, Ocean University of China, Qingdao, 266100, 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
Yuan Xie
Key Laboratory of Space Laser Communication and Detection Technology, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai, 201800, China
Kangwen Sun
College of Marine Technology, Faculty of Information Science and Engineering, Ocean University of China, Qingdao, 266100, China
Fanqian Meng
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
Zhongwei Huang
Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou, 730000, 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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- Performance of the ultraviolet laser transmitter during ESA’s Doppler wind lidar mission Aeolus O. Lux et al. https://doi.org/10.1364/AO.544577
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- Detection of Arctic sea fog using FY-3D/MERSI-II multispectral imagery during the summer X. Dai et al. https://doi.org/10.1080/15481603.2026.2653122
- This Is APEX: An Active–Passive Remote Sensing Fusion Algorithm for 3-Dimensional Aerosol Extinction Coefficient Mapping and Regional Planetary Boundary Layer Height Estimation W. Xu et al. https://doi.org/10.34133/remotesensing.1051
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- Continuous-wave near-infrared high spectral resolution Scheimpflug lidar for all-day profiling of boundary layer aerosols L. Mei et al. https://doi.org/10.1016/j.optlastec.2026.115528
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- 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
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- Spaceborne LiDAR Systems: Evolution, Capabilities, and Challenges J. Bolcek et al. https://doi.org/10.3390/s25123696
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37 citations as recorded by crossref.
- Retrievals of vertically resolved aerosol microphysical particle parameters with regularization from spaceborne Aerosol and Carbon dioxide Detection Lidar (ACDL) Z. Bi et al. https://doi.org/10.5194/amt-18-7565-2025
- Active and passive satellite observations coupled with carbon–nitrogen synergy for urban fossil fuel CO2 emissions monitoring J. Yi et al. https://doi.org/10.5194/acp-26-8475-2026
- Calculation of near-surface atmospheric particulate matter (PM2.5) concentrations in China with the use of ACDL/DQ-1 Y. Zhang et al. https://doi.org/10.1016/j.atmosres.2025.108299
- 基于陆地生态系统碳监测卫星的气溶胶光学参数反演与验证研究 陈. Chen Binglong et al. https://doi.org/10.3788/LOP241255
- Performance of the ultraviolet laser transmitter during ESA’s Doppler wind lidar mission Aeolus O. Lux et al. https://doi.org/10.1364/AO.544577
- A Deep Learning Approach to Lidar Signal Denoising and Atmospheric Feature Detection J. Gomes et al. https://doi.org/10.3390/rs17244060
- Enhancing dust aerosols monitoring capabilities across North Africa and the Middle East using the A-Train satellite constellation A. Moustaka et al. https://doi.org/10.5194/amt-19-1201-2026
- Estimating monthly China XCO 2 based on DQ-1 data and spatiotemporal heterogeneous filtering model D. Zhu et al. https://doi.org/10.1080/17538947.2026.2668778
- Detection of Arctic sea fog using FY-3D/MERSI-II multispectral imagery during the summer X. Dai et al. https://doi.org/10.1080/15481603.2026.2653122
- This Is APEX: An Active–Passive Remote Sensing Fusion Algorithm for 3-Dimensional Aerosol Extinction Coefficient Mapping and Regional Planetary Boundary Layer Height Estimation W. Xu et al. https://doi.org/10.34133/remotesensing.1051
- 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
- The EarthCARE lidar cloud and aerosol profile processor (A-PRO): the A-AER, A-EBD, A-TC, and A-ICE products D. Donovan et al. https://doi.org/10.5194/amt-17-5301-2024
- 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
- Measurement of the global surface reflectance at 1572 nm using spaceborne aerosol and carbon dioxide detection lidar C. Chen et al. https://doi.org/10.1007/s00340-025-08473-4
- Background Signal Characterization Analysis for ACDL/DQ-1 at Multichannel of 532 nm F. Meng et al. https://doi.org/10.1109/TGRS.2025.3573939
- Demonstration of a silicon photonics integrated 1645 nm stabilized seed laser for methane and water vapor remote sensing lidar Y. Wu et al. https://doi.org/10.1364/OE.576729
- Aerosol optical-to-microphysical conversion factors for lidars and ceilometers from extended AERONET data analyses: POLIPHON update A. Ansmann et al. https://doi.org/10.5194/amt-19-3801-2026
- Satellite remote sensing of aerosol single scattering albedo: Instruments, algorithms, and challenges Y. Dong et al. https://doi.org/10.1016/j.jqsrt.2025.109802
- Spaceborne high-spectral-resolution lidar ACDL/DQ-1 measurements of the particulate backscatter coefficient in the global ocean Y. Yang et al. https://doi.org/10.1016/j.rse.2024.114444
- Validation of EarthCARE/ATLID aerosol profiling products with ground-based PollyNET lidars – case studies H. Baars et al. https://doi.org/10.5194/amt-19-3831-2026
- Simulation and assessment of spaceborne hybrid Doppler wind lidar, part 1: the spaceborne two-beam stepping direct detection Doppler wind lidar W. Long et al. https://doi.org/10.1364/OE.551023
- Spaceborne high-spectral-resolution lidar ACDL/DQ-1 measurement and validation of aerosol optical properties in 2023 Canadian wildfire smoke J. Hu et al. https://doi.org/10.3788/COL202624.010101
- 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
- First global XCO2 observations from spaceborne lidar: methodology and initial result G. Han et al. https://doi.org/10.1016/j.rse.2025.114954
- Continuous-wave near-infrared high spectral resolution Scheimpflug lidar for all-day profiling of boundary layer aerosols L. Mei et al. https://doi.org/10.1016/j.optlastec.2026.115528
- 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
- Summary of the EarthCARE science and validation workshop 2025 -Early achievements and future perspectives for the Earth Cloud Aerosol and Radiation Explorer (EarthCARE) satellite mission- T. Kubota et al. https://doi.org/10.1016/j.jemets.2026.100037
- Retrieval of global aerosol and surface properties from the Gaofen-5 Directional Polarimetric Camera measurements Z. Zhang et al. https://doi.org/10.5194/amt-19-2555-2026
- 风云第三代极轨卫星测风激光雷达仿真与指标分析（特邀） 吴. Wu Songhua et al. https://doi.org/10.3788/AOS240800
- ACDL/DQ-1 calibration algorithms – Part 1: Nighttime 532 nm polarization and the high-spectral-resolution channel F. Meng et al. https://doi.org/10.5194/amt-18-2021-2025
- 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
- Discussion of the spectral slope of the lidar ratio between 355 and 1064 nm from multiwavelength Raman lidar observations M. Haarig et al. https://doi.org/10.5194/acp-25-7741-2025
- 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
- Statistical Simulation of Spaceborne Lidar Pulse Propagation in Cirrus Clouds Taking into Account Multiple Scattering T. Russkova & V. Shishko https://doi.org/10.1134/S1024856024701057
- Spaceborne LiDAR Systems: Evolution, Capabilities, and Challenges J. Bolcek et al. https://doi.org/10.3390/s25123696
- Assessment of horizontally oriented ice crystals with a combination of multiangle polarization lidar and cloud Doppler radar Z. Wu et al. https://doi.org/10.5194/amt-18-3611-2025
- Aerosol-cloud layer detection algorithm of the DQ-1/ACDL F. Mao et al. https://doi.org/10.1016/j.rse.2025.115068
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Short summary
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.
An overview is given of the main algorithms applied to derive the aerosol and cloud optical...
