The Detection of Desert Aerosol Incorporating Coherent Doppler Wind Lidar and Rayleigh–Mie–Raman Lidar

Author:

Li Manyi1,Xia Haiyun1234,Su Lian1,Han Haobin2,Wang Xiaofei5,Yuan Jinlong2

Affiliation:

1. School of Earth and Space Science, University of Science and Technology of China, Hefei 230026, China

2. School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044, China

3. National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei 230026, China

4. Institute of Software, Chinese Academy of Sciences, Beijing 100190, China

5. Xinjiang Uygur Autonomous Region Meteorological Service, Urumqi 830002, China

Abstract

Characterization of aerosol transportation is important in order to understand regional and global climatic changes. To obtain accurate aerosol profiles and wind profiles, aerosol lidar and Doppler wind lidar are generally combined in atmospheric measurements. In this work, a method for calibration and quantitative aerosol properties using coherent Doppler wind lidar (CDWL) is adopted, and data retrieval is verified by contrasting the process with synchronous Rayleigh–Mie–Raman lidar (RMRL). The comparison was applied to field measurements in the Taklimakan desert, from 16 to 21 February 2023. Good agreements between the two lidars was found, with the determination coefficients of 0.90 and 0.89 and the root-mean-square error (RMSE) values of 0.012 and 0.013. The comparative results of continuous experiments demonstrate the ability of the CDWL to retrieve aerosol properties accurately.

Funder

Strategic Priority Research Program of Chinese Academy of Sciences

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

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5. Yuan, J., Wu, Y., Shu, Z., Su, L., Tang, D., Yang, Y., Dong, J., Yu, S., Zhang, Z., and Xia, H. (2022). Real-Time Synchronous 3-D Detection of Air Pollution and Wind Using a Solo Coherent Doppler Wind Lidar. Remote Sens., 14.

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