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

• Published in: Atmospheric Measurement Techniques
• Main Authors: G. Dai, S. Wu, W. Long, J. Liu, Y. Xie, K. Sun, F. Meng, X. Song, Z. Huang, W. Chen
• Format: Article
• Language: English
• Published: Copernicus Publications 2024-04-01
• Online Access: https://amt.copernicus.org/articles/17/1879/2024/amt-17-1879-2024.pdf

<p>The new-generation atmospheric environment monitoring satellite DQ-1, launched successfully in April 2022, carries the Aerosol and Carbon Detection Lidar (ACDL), which is capable of globally profiling aerosol and cloud optical properties with high accuracy. The ACDL/DQ-1 is a high-spectral-resolution lidar (HSRL) that separates molecular backscatter signals using an iodine filter and has 532 nm polarization detection and dual-wavelength detection at 532 and 1064 nm, which can be utilized to derive aerosol optical properties. The methods have been specifically developed for data processing and optical property retrieval according to the specific characteristics of the ACDL system and are introduced in detail in this paper. Considering the different signal characteristics and different background noise behaviors of each channel during daytime and nighttime, the procedures of data pre-processing, denoising process and quality control are applied to the original measurement signals. The aerosol and cloud optical property products of the ACDL/DQ-1, including the total depolarization ratio, backscatter coefficient, extinction coefficient, lidar ratio and color ratio, can be calculated by the retrieval algorithms presented in this paper. Two measurement cases with use of the ACDL/DQ-1 on 27 June 2022 and the global averaged aerosol optical depth (AOD) from 1 June to 4 August 2022 are provided and analyzed, demonstrating the measurement capability of the ACDL/DQ-1.</p>