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
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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Cited
16 citations as recorded by crossref.
- Lidar depolarization characterization using a reference system A. Papetta et al. 10.5194/amt-17-1721-2024
- The preliminary measurements of water cloud microphysical properties using multiple scattering Raman lidar L. Qi et al. 10.1016/j.optcom.2024.130524
- 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
- Water Cloud Detection with Circular Polarization Lidar: A Semianalytic Monte Carlo Simulation Approach W. Ahmad et al. 10.3390/s22041679
- 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
- Polarization Lidar: Principles and Applications X. Liu et al. 10.3390/photonics10101118
- 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
- Scattering direction sampling methods for polarized Monte Carlo simulation of oceanic lidar H. He et al. 10.1364/AO.494894
- 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
- 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
- Validation of the polarized Monte Carlo model of shipborne oceanic lidar returns H. He et al. 10.1364/OE.511445
- Contrasting ice formation in Arctic clouds: surface-coupled vs. surface-decoupled clouds H. Griesche et al. 10.5194/acp-21-10357-2021
- Low-level Arctic clouds: a blind zone in our knowledge of the radiation budget H. Griesche et al. 10.5194/acp-24-597-2024
16 citations as recorded by crossref.
- Lidar depolarization characterization using a reference system A. Papetta et al. 10.5194/amt-17-1721-2024
- The preliminary measurements of water cloud microphysical properties using multiple scattering Raman lidar L. Qi et al. 10.1016/j.optcom.2024.130524
- 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
- Water Cloud Detection with Circular Polarization Lidar: A Semianalytic Monte Carlo Simulation Approach W. Ahmad et al. 10.3390/s22041679
- 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
- Polarization Lidar: Principles and Applications X. Liu et al. 10.3390/photonics10101118
- 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
- Scattering direction sampling methods for polarized Monte Carlo simulation of oceanic lidar H. He et al. 10.1364/AO.494894
- 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
- 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
- Validation of the polarized Monte Carlo model of shipborne oceanic lidar returns H. He et al. 10.1364/OE.511445
- Contrasting ice formation in Arctic clouds: surface-coupled vs. surface-decoupled clouds H. Griesche et al. 10.5194/acp-21-10357-2021
- Low-level Arctic clouds: a blind zone in our knowledge of the radiation budget H. Griesche et al. 10.5194/acp-24-597-2024
Latest update: 25 Apr 2024
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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