Articles | Volume 19, issue 10
https://doi.org/10.5194/amt-19-3253-2026
© Author(s) 2026. 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-19-3253-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 May 2026
Research article |
| 22 May 2026
| 22 May 2026
Biomass burning aerosol transport from Indo-China Peninsula to South China: fluorescence lidar observation and analysis
Zhekai Li
State Key Laboratory of Climate System Prediction and Risk Management, Nanjing University of Information Science and Technology, Nanjing 210044, China
School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044, China
Dawei Tang
Academy of Chips Technology, China Electronics Technology Group Corporation, Chongqing 401332, China
State Key Laboratory of Climate System Prediction and Risk Management, Nanjing University of Information Science and Technology, Nanjing 210044, China
School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044, China
Saifen Yu
State Key Laboratory of Climate System Prediction and Risk Management, Nanjing University of Information Science and Technology, Nanjing 210044, China
School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044, China
Jing Cai
State Key Laboratory of Climate System Prediction and Risk Management, Nanjing University of Information Science and Technology, Nanjing 210044, China
School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044, China
Kenan Wu
School of Information Engineering, Huangshan University, Huangshan 245041, China
Zhen Zhang
State Key Laboratory of Climate System Prediction and Risk Management, Nanjing University of Information Science and Technology, Nanjing 210044, China
School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044, China
Jiadong Hu
State Key Laboratory of Climate System Prediction and Risk Management, Nanjing University of Information Science and Technology, Nanjing 210044, China
School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044, China
Institute of Lidar Technology, GuangZai Co., Ltd., Hangzhou 310005, China
Haobin Han
State Key Laboratory of Climate System Prediction and Risk Management, Nanjing University of Information Science and Technology, Nanjing 210044, China
School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044, China
Institute of Lidar Technology, GuangZai Co., Ltd., Hangzhou 310005, China
Yubin Wang
State Key Laboratory of Climate System Prediction and Risk Management, Nanjing University of Information Science and Technology, Nanjing 210044, China
School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044, China
Institute of Lidar Technology, GuangZai Co., Ltd., Hangzhou 310005, China
State Key Laboratory of Climate System Prediction and Risk Management, Nanjing University of Information Science and Technology, Nanjing 210044, China
School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044, China
Institute of Lidar Technology, GuangZai Co., Ltd., Hangzhou 310005, China
School of Earth and Space Science, University of Science and Technology of China, Hefei 230026, China
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This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
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This study analyzes three years of wind lidar measurements to explore the dynamics of the urban planetary boundary layer in Hefei, China. Results reveal that nocturnal low-level jets are most frequent in spring and intensify in summer, significantly enhancing turbulence and shear near the surface, particularly at night. Additionally, cloud cover raises the mixing layer height by approximately 100 m at night due to the greenhouse effect but reduces it by up to 200 m in the afternoon.
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The cold downhill airflow of the Tibetan Plateau leading to the low-level jet weakens the height and intensity of the inversion layer, which reduces the energy demand for the broken inversion layer. The low-level jet causes dust aerosols to accumulate near the ground. The material conditions for the development of the desert atmospheric boundary layer can be quickly transformed into thermal conditions.
Kenan Wu, Tianwen Wei, Jinlong Yuan, Haiyun Xia, Xin Huang, Gaopeng Lu, Yunpeng Zhang, Feifan Liu, Baoyou Zhu, and Weidong Ding
Atmos. Meas. Tech., 16, 5811–5825, https://doi.org/10.5194/amt-16-5811-2023, https://doi.org/10.5194/amt-16-5811-2023, 2023
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A compact all-fiber coherent Doppler wind lidar (CDWL) working at the 1.5 µm wavelength is applied to probe the dynamics and microphysics structure of thunderstorms. It was found that thunderclouds below the 0 ℃ isotherm have significant spectrum broadening and an increase in skewness, and that lightning affects the microphysics structure of the thundercloud. It is proven that the precise spectrum of CDWL is a promising indicator for studying the charge structure of thunderstorms.
Lian Zong, Yuanjian Yang, Haiyun Xia, Meng Gao, Zhaobin Sun, Zuofang Zheng, Xianxiang Li, Guicai Ning, Yubin Li, and Simone Lolli
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Heatwaves (HWs) paired with higher ozone (O3) concentration at surface level pose a serious threat to human health. Taking Beijing as an example, three unfavorable synoptic weather patterns were identified to dominate the compound HW and O3 pollution events. Under the synergistic stress of HWs and O3 pollution, public mortality risk increased, and synoptic patterns and urbanization enhanced the compound risk of events in Beijing by 33.09 % and 18.95 %, respectively.
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Atmos. Meas. Tech., 15, 2819–2838, https://doi.org/10.5194/amt-15-2819-2022, https://doi.org/10.5194/amt-15-2819-2022, 2022
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During 11–20 March 2020, three aerosol transport events were investigated by a lidar system and an online bioaerosol detection system in Hefei, China.
Observation results reveal that the events not only contributed to high particulate matter pollution but also to the transport of external bioaerosols, resulting in changes in the fraction of fluorescent biological aerosol particles.
This detection method improved the time resolution and provided more parameters for aerosol detection.
Pu Jiang, Jinlong Yuan, Kenan Wu, Lu Wang, and Haiyun Xia
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2021-288, https://doi.org/10.5194/amt-2021-288, 2021
Revised manuscript not accepted
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To analyse the atmospheric turbulence in high resolution, we proposed a new method by combining the advantages of two remote sensing instruments. A contrastive experiment was conducted horizontally to verify the method. Based on the result, we obtained and analyzed the continuous Cn2 and other turbulence profiles with high temporal and spatial resolution simultaneously. It is significant for studying the complex and fast-changing atmospheric environment.
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Short summary
In April 2024, we observed a fluorescent layer using fluorescence lidar at Nanping, South China. By combining multiple sources of information, we found that the long-range transported biomass burning aerosol (BBA) emitted by weak fire activity in the Indo-China Peninsula (ICP) was a major contributor to this layer. Our observations show that even weak fires in the ICP can affect South China, providing new insights into BBA transport in this region.
In April 2024, we observed a fluorescent layer using fluorescence lidar at Nanping, South China....
