Articles | Volume 17, issue 5
https://doi.org/10.5194/amt-17-1403-2024
© Author(s) 2024. 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-17-1403-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
07 Mar 2024
Research article |
| 07 Mar 2024
| 07 Mar 2024
Validation of initial observation from the first spaceborne high-spectral-resolution lidar with a ground-based lidar network
Qiantao Liu
Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou, 730000, China
Zhongwei Huang
CORRESPONDING AUTHOR
Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou, 730000, China
Collaborative Innovation Center for Western Ecological Safety, Lanzhou University, Lanzhou, 730000, China
Jiqiao Liu
Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai, 201800, China
Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China
Weibiao Chen
Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai, 201800, China
Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China
Qingqing Dong
Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou, 730000, China
Songhua Wu
College of Marine Technology, Faculty of Information Science and Engineering, Ocean University of China, Qingdao, 266100, China
Laoshan Laboratory, Qingdao, 266237, China
Guangyao Dai
College of Marine Technology, Faculty of Information Science and Engineering, Ocean University of China, Qingdao, 266100, China
Meishi Li
Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou, 730000, China
Wuren Li
Collaborative Innovation Center for Western Ecological Safety, Lanzhou University, Lanzhou, 730000, China
Ze Li
Collaborative Innovation Center for Western Ecological Safety, Lanzhou University, Lanzhou, 730000, China
Xiaodong Song
Collaborative Innovation Center for Western Ecological Safety, Lanzhou University, Lanzhou, 730000, China
Yuan Xie
Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai, 201800, China
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Cited
9 citations as recorded by crossref.
- Understanding Aerosol–Cloud Interactions through Lidar Techniques: A Review F. Cairo et al. 10.3390/rs16152788
- The First Validation of Aerosol Optical Parameters Retrieved from the Terrestrial Ecosystem Carbon Inventory Satellite (TECIS) and Its Application Y. Ren et al. 10.3390/rs16193689
- 生物气溶胶的光学探测技术研究进展与展望（特邀） 黄. Huang Zhongwei et al. 10.3788/AOS241448
- Radiative forcing and vertical heating rate of dust aerosols in southwestern Tajikistan during summer 2023 Z. Li et al. 10.1016/j.atmosenv.2025.121051
- The EarthCARE lidar cloud and aerosol profile processor (A-PRO): the A-AER, A-EBD, A-TC, and A-ICE products D. Donovan et al. 10.5194/amt-17-5301-2024
- Determination of dust storm height using weak beam photons from ICESat-2 and relating with vertical wind profile G. Dandabathula et al. 10.1016/j.atmosenv.2025.121276
- Calculation of near-surface atmospheric particulate matter (PM2.5) concentrations in China with the use of ACDL/DQ-1 Y. Zhang et al. 10.1016/j.atmosres.2025.108299
- ACDL/DQ-1 calibration algorithms – Part 1: Nighttime 532 nm polarization and the high-spectral-resolution channel F. Meng et al. 10.5194/amt-18-2021-2025
- High Spectral Resolution Scheimpflug Lidar for Atmospheric Aerosol Sensing Y. Chang et al. 10.1002/lpor.202500897
9 citations as recorded by crossref.
- Understanding Aerosol–Cloud Interactions through Lidar Techniques: A Review F. Cairo et al. 10.3390/rs16152788
- The First Validation of Aerosol Optical Parameters Retrieved from the Terrestrial Ecosystem Carbon Inventory Satellite (TECIS) and Its Application Y. Ren et al. 10.3390/rs16193689
- 生物气溶胶的光学探测技术研究进展与展望（特邀） 黄. Huang Zhongwei et al. 10.3788/AOS241448
- Radiative forcing and vertical heating rate of dust aerosols in southwestern Tajikistan during summer 2023 Z. Li et al. 10.1016/j.atmosenv.2025.121051
- The EarthCARE lidar cloud and aerosol profile processor (A-PRO): the A-AER, A-EBD, A-TC, and A-ICE products D. Donovan et al. 10.5194/amt-17-5301-2024
- Determination of dust storm height using weak beam photons from ICESat-2 and relating with vertical wind profile G. Dandabathula et al. 10.1016/j.atmosenv.2025.121276
- Calculation of near-surface atmospheric particulate matter (PM2.5) concentrations in China with the use of ACDL/DQ-1 Y. Zhang et al. 10.1016/j.atmosres.2025.108299
- ACDL/DQ-1 calibration algorithms – Part 1: Nighttime 532 nm polarization and the high-spectral-resolution channel F. Meng et al. 10.5194/amt-18-2021-2025
- High Spectral Resolution Scheimpflug Lidar for Atmospheric Aerosol Sensing Y. Chang et al. 10.1002/lpor.202500897
Latest update: 28 Jun 2025
Short summary
The achieved results revealed that the ACDL observations were in good agreement with the ground-based lidar measurements during dust events. The heights of cloud top and bottom from these two measurements were well matched and comparable. This study proves that the ACDL provides reliable observations of aerosol and cloud in the presence of various climatic conditions, which helps to further evaluate the impacts of aerosol on climate and the environment, as well as on the ecosystem in the future.
The achieved results revealed that the ACDL observations were in good agreement with the...
