Articles | Volume 20, issue 23
https://doi.org/10.5194/acp-20-15247-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-20-15247-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
| 
08 Dec 2020
Research article | Highlight paper |
| 08 Dec 2020
| 08 Dec 2020
The dual-field-of-view polarization lidar technique: a new concept in monitoring aerosol effects in liquid-water clouds – theoretical framework
Leibniz Institute for Tropospheric Research, Leipzig, Germany
Albert Ansmann
Leibniz Institute for Tropospheric Research, Leipzig, Germany
Ronny Engelmann
Leibniz Institute for Tropospheric Research, Leipzig, Germany
David Donovan
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Aleksey Malinka
National Academy of Sciences of Belarus, Minsk, Belarus
Jörg Schmidt
Institute of Meteorology, University of Leipzig, Leipzig, Germany
Patric Seifert
Leibniz Institute for Tropospheric Research, Leipzig, Germany
Ulla Wandinger
Leibniz Institute for Tropospheric Research, Leipzig, Germany
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- Understanding Aerosol–Cloud Interactions through Lidar Techniques: A Review F. Cairo et al. 10.3390/rs16152788
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- Correlation between atmospheric turbulence and cloud microphysical parameters detected by a novel variable dual field of view multiple scattering Raman lidar B. Liu & J. Mao 10.1063/5.0245853
- Wildfire smoke, Arctic haze, and aerosol effects on mixed-phase and cirrus clouds over the North Pole region during MOSAiC: an introduction R. Engelmann et al. 10.5194/acp-21-13397-2021
- Contrasting ice formation in Arctic clouds: surface-coupled vs. surface-decoupled clouds H. Griesche et al. 10.5194/acp-21-10357-2021
25 citations as recorded by crossref.
- Lidar depolarization characterization using a reference system A. Papetta et al. 10.5194/amt-17-1721-2024
- The eVe reference polarisation lidar system for the calibration and validation of the Aeolus L2A product P. Paschou et al. 10.5194/amt-15-2299-2022
- Tropospheric sulfate from Cumbre Vieja (La Palma) observed over Cabo Verde contrasted with background conditions: a lidar case study of aerosol extinction, backscatter, depolarization and lidar ratio profiles at 355, 532 and 1064 nm H. Gebauer et al. 10.5194/acp-24-5047-2024
- Water Cloud Detection with Circular Polarization Lidar: A Semianalytic Monte Carlo Simulation Approach W. Ahmad et al. 10.3390/s22041679
- Simultaneous Retrieval Algorithm of Water Cloud Optical and Microphysical Properties by High-Spectral-Resolution Lidar K. Zhang et al. 10.1109/TGRS.2024.3416493
- A Method for Retrieving Cloud Microphysical Properties Using Combined Measurement of Millimeter-Wave Radar and Lidar W. Lin et al. 10.3390/rs16030586
- The dual-field-of-view polarization lidar technique: a new concept in monitoring aerosol effects in liquid-water clouds – case studies C. Jimenez et al. 10.5194/acp-20-15265-2020
- Polarimetric multiple scattering LiDAR model based on Poisson distribution G. Roy & G. Tremblay 10.1364/AO.458566
- Dual-field-of-view high-spectral-resolution lidar: Simultaneous profiling of aerosol and water cloud to study aerosol–cloud interaction N. Wang et al. 10.1073/pnas.2110756119
- Understanding Aerosol–Cloud Interactions through Lidar Techniques: A Review F. Cairo et al. 10.3390/rs16152788
- Polarization Lidar: Principles and Applications X. Liu et al. 10.3390/photonics10101118
- DeLiAn – a growing collection of depolarization ratio, lidar ratio and Ångström exponent for different aerosol types and mixtures from ground-based lidar observations A. Floutsi et al. 10.5194/amt-16-2353-2023
- Validation of the polarized Monte Carlo model of shipborne oceanic lidar returns H. He et al. 10.1364/OE.511445
- Low-level Arctic clouds: a blind zone in our knowledge of the radiation budget H. Griesche et al. 10.5194/acp-24-597-2024
- Cloud micro- and macrophysical properties from ground-based remote sensing during the MOSAiC drift experiment H. Griesche et al. 10.1038/s41597-024-03325-w
- The preliminary measurements of water cloud microphysical properties using multiple scattering Raman lidar L. Qi et al. 10.1016/j.optcom.2024.130524
- Retrieval of water cloud microphysical properties with polarized LiDAR based on optimization method: a polarimetric Monte Carlo simulation W. Ahmad et al. 10.1364/OE.549620
- 两种基于激光雷达的水云反演方法对比研究 张. Zhang Kai et al. 10.3788/AOS240619
- First triple-wavelength lidar observations of depolarization and extinction-to-backscatter ratios of Saharan dust M. Haarig et al. 10.5194/acp-22-355-2022
- Relating cloud and aerosol properties from long-term lidar observations in Tajikistan F. Lipken et al. 10.1051/e3sconf/202457505002
- 高光谱分辨率激光雷达分子透过率在线定标 吴. Wu Lingyun et al. 10.3788/AOS240501
- Scattering direction sampling methods for polarized Monte Carlo simulation of oceanic lidar H. He et al. 10.1364/AO.494894
- Correlation between atmospheric turbulence and cloud microphysical parameters detected by a novel variable dual field of view multiple scattering Raman lidar B. Liu & J. Mao 10.1063/5.0245853
- Wildfire smoke, Arctic haze, and aerosol effects on mixed-phase and cirrus clouds over the North Pole region during MOSAiC: an introduction R. Engelmann et al. 10.5194/acp-21-13397-2021
- Contrasting ice formation in Arctic clouds: surface-coupled vs. surface-decoupled clouds H. Griesche et al. 10.5194/acp-21-10357-2021
Latest update: 27 May 2025
Short summary
A novel lidar method to study cloud microphysical properties (of liquid water clouds) and to study aerosol–cloud interaction (ACI) is developed and presented in this paper. In Part 1, the theoretical framework including an error analysis is given together with an overview of the aerosol information that the same lidar system can obtain. The ACI concept based on aerosol and cloud information is also explained. Applications of the proposed approach to lidar measurements are presented in Part 2.
A novel lidar method to study cloud microphysical properties (of liquid water clouds) and to...
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