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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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...
