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Atmosphere
Volume 16
Issue 12
10.3390/atmos16121323
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Article

Study on Atmospheric Boundary Layer Retrieval Method and Observation Data Analysis Based on Aerosol Lidar

by
Chao Chen
1,
Bingao Sui
1,
Zhangjun Wang
1,*,
Baoqing Sun
2,
Hui Li
1,
Xin Pan
1,
Guoliang Shentu
3,
Quanfeng Zhuang
1,
Xianxin Li
1,
Hao Chen
1 and
Wenbo Jiang
1
1
State Key Laboratory of Physical Oceanography, Institute of Oceanographic Instrumentation, Qilu University of Technology (Shandong Academy of Sciences), Qingdao 266100, China
2
School of Information Science and Engineering, Shandong University, Qingdao 266237, China
3
Shandong Guoyao Quantum Lidar Technology Company Ltd., Jinan 250101, China
*
Author to whom correspondence should be addressed.
Atmosphere 2025, 16(12), 1323; https://doi.org/10.3390/atmos16121323 (registering DOI)
Submission received: 21 October 2025 / Revised: 20 November 2025 / Accepted: 21 November 2025 / Published: 23 November 2025
(This article belongs to the Special Issue Data Analysis and Algorithms for Aerosols Remote Sensing)
Versions Notes

Abstract

The atmospheric boundary layer is the lowest part of the troposphere, directly influenced by the Earth’s surface. The boundary layer’s height is a critical parameter for weather forecasting, air quality monitoring, and climate modeling. Lidar has become a premier tool for continuous boundary layer height detection with its high spatial–temporal resolution. A multi-wavelength aerosol lidar with 355 nm, 532 nm, and 1064 nm has been developed and deployed for operational observations at the Haidian District Meteorological Service of Beijing. The structure design, specifications, observation campaign, and detection principle of the multi-wavelength aerosol lidar are presented and the retrieval method of the boundary layer’s height is introduced. By comparing it with the data of the digital radiosonde, it is verified that the first normalized gradient of the range-corrected signal can more accurately retrieve the boundary layer’s height. The typical daily variation characteristics and influencing factors of urban boundary layer height are analyzed through observational examples and the monthly mean value of the boundary layer’s height in 2019 is acquired and analyzed.
Keywords: laser remote sensing; multi-wavelength lidar; aerosol; gradient algorithm; atmospheric boundary layer laser remote sensing; multi-wavelength lidar; aerosol; gradient algorithm; atmospheric boundary layer

Share and Cite

MDPI and ACS Style

Chen, C.; Sui, B.; Wang, Z.; Sun, B.; Li, H.; Pan, X.; Shentu, G.; Zhuang, Q.; Li, X.; Chen, H.; et al. Study on Atmospheric Boundary Layer Retrieval Method and Observation Data Analysis Based on Aerosol Lidar. Atmosphere 2025, 16, 1323. https://doi.org/10.3390/atmos16121323

AMA Style

Chen C, Sui B, Wang Z, Sun B, Li H, Pan X, Shentu G, Zhuang Q, Li X, Chen H, et al. Study on Atmospheric Boundary Layer Retrieval Method and Observation Data Analysis Based on Aerosol Lidar. Atmosphere. 2025; 16(12):1323. https://doi.org/10.3390/atmos16121323

Chicago/Turabian Style

Chen, Chao, Bingao Sui, Zhangjun Wang, Baoqing Sun, Hui Li, Xin Pan, Guoliang Shentu, Quanfeng Zhuang, Xianxin Li, Hao Chen, and et al. 2025. "Study on Atmospheric Boundary Layer Retrieval Method and Observation Data Analysis Based on Aerosol Lidar" Atmosphere 16, no. 12: 1323. https://doi.org/10.3390/atmos16121323

APA Style

Chen, C., Sui, B., Wang, Z., Sun, B., Li, H., Pan, X., Shentu, G., Zhuang, Q., Li, X., Chen, H., & Jiang, W. (2025). Study on Atmospheric Boundary Layer Retrieval Method and Observation Data Analysis Based on Aerosol Lidar. Atmosphere, 16(12), 1323. https://doi.org/10.3390/atmos16121323

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