Articles | Volume 17, issue 7
https://doi.org/10.5194/amt-17-1879-2024
https://doi.org/10.5194/amt-17-1879-2024
Research article
 | 
03 Apr 2024
Research article |  | 03 Apr 2024

Aerosol and cloud data processing and optical property retrieval algorithms for the spaceborne ACDL/DQ-1

Guangyao Dai, Songhua Wu, Wenrui Long, Jiqiao Liu, Yuan Xie, Kangwen Sun, Fanqian Meng, Xiaoquan Song, Zhongwei Huang, and Weibiao Chen

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Cited articles

Balmes, K. A., Fu, Q., and Thorsen, T. J.: Differences in Ice Cloud Optical Depth From CALIPSO and Ground-Based Raman Lidar at the ARM SGP and TWP Sites, J. Geophys. Res.-Atmos., 124, 1755–1778, https://doi.org/10.1029/2018JD028321, 2019. 
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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.