Articles | Volume 8, issue 1
https://doi.org/10.5194/amt-8-237-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-8-237-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
12 Jan 2015
Research article |
| 12 Jan 2015
A depolarisation lidar-based method for the determination of liquid-cloud microphysical properties
D. P. Donovan
CORRESPONDING AUTHOR
Royal Netherlands Meteorological Institute (KNMI), P.O. Box 201, 3730 AE, De Bilt, the Netherlands
H. Klein Baltink
Royal Netherlands Meteorological Institute (KNMI), P.O. Box 201, 3730 AE, De Bilt, the Netherlands
J. S. Henzing
Netherlands Organisation for Applied Scientific Research (TNO), Princetonlaan 6, Utrecht, the Netherlands
S. R. de Roode
Technical University of Delft (TUD), Delft, the Netherlands
A. P. Siebesma
Royal Netherlands Meteorological Institute (KNMI), P.O. Box 201, 3730 AE, De Bilt, the Netherlands
Technical University of Delft (TUD), Delft, the Netherlands
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- Retrieving homogeneous liquid cloud microphysical properties using multiple-field-of-view lidar H. Zhang et al. 10.1117/1.JRS.12.046021
48 citations as recorded by crossref.
- The generation of EarthCARE L1 test data sets using atmospheric model data sets D. Donovan et al. 10.5194/amt-16-5327-2023
- The classification of atmospheric hydrometeors and aerosols from the EarthCARE radar and lidar: the A-TC, C-TC and AC-TC products A. Irbah et al. 10.5194/amt-16-2795-2023
- Development of ATLID Retrieval Algorithms D. Donovan et al. 10.1051/epjconf/202023701005
- Theoretical extension of universal forward and backward Monte Carlo radiative transfer modeling for passive and active polarization observation simulations Z. Wang et al. 10.1016/j.jqsrt.2019.06.025
- Measuring ice- and liquid-water properties in mixed-phase cloud layers at the Leipzig Cloudnet station J. Bühl et al. 10.5194/acp-16-10609-2016
- Long-term variation of cloud droplet number concentrations from space-based Lidar J. Li et al. 10.1016/j.rse.2018.05.011
- Polarimetric multiple scattering LiDAR model based on Poisson distribution G. Roy & G. Tremblay 10.1364/AO.458566
- Challenges and Opportunities in Lidar Remote Sensing Z. Wang & M. Menenti 10.3389/frsen.2021.641723
- Comparison of Macro- and Microphysical Properties in Precipitating and Non-Precipitating Clouds over Central-Eastern China during Warm Season X. Zheng et al. 10.3390/rs14010152
- Estimating the optical extinction of liquid water clouds in the cloud base region K. Sarna et al. 10.5194/amt-14-4959-2021
- Water Cloud Detection with Circular Polarization Lidar: A Semianalytic Monte Carlo Simulation Approach W. Ahmad et al. 10.3390/s22041679
- 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
- Remote Sensing of Droplet Number Concentration in Warm Clouds: A Review of the Current State of Knowledge and Perspectives D. Grosvenor et al. 10.1029/2017RG000593
- Aerosol first indirect effect of African smoke at the cloud base of marine cumulus clouds over Ascension Island, southern Atlantic Ocean M. de Graaf et al. 10.5194/acp-23-5373-2023
- On Depolarization Lidar-Based Method for The Determination of Liquid-Cloud Microphysical Properties G. Roy et al. 10.1051/epjconf/201611916002
- Evaluation of four ground-based retrievals of cloud droplet number concentration in marine stratocumulus with aircraft in situ measurements D. Zhang et al. 10.5194/amt-16-5827-2023
- Heterogeneous Nucleation of Midlevel Cloud Layer Influenced by Transported Asian Dust Over Wuhan (30.5°N, 114.4°E), China Y. He et al. 10.1029/2020JD033394
- Depolarization Lidar Determination Of Cloud-Base Microphysical Properties D. Donovan et al. 10.1051/epjconf/201611916010
- Development of a 1064/532nm Scanning Depolarization Lidar System and Wavelengths Dependence Measurements of Atmospheric Matters over Daejeon City C. Park 10.14801/jkiit.2022.20.9.95
- ALiDAn: Spatiotemporal and Multiwavelength Atmospheric Lidar Data Augmentation A. Vainiger et al. 10.1109/TGRS.2022.3201436
- Validation of the dual field-of-view polarization LIDAR technique for the retrieval of homogeneous water cloud microphysical properties: a study based on a polarimetric Monte Carlo simulation W. Ahmad et al. 10.1364/AO.468142
- McRALI: a Monte Carlo high-spectral-resolution lidar and Doppler radar simulator for three-dimensional cloudy atmosphere remote sensing F. Szczap et al. 10.5194/amt-14-199-2021
- Impacts of scattering plane randomization on lidar multiple scattering polarization signals from water clouds Z. Wang 10.1016/j.jqsrt.2024.109256
- 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
- The dual-field-of-view polarization lidar technique: a new concept in monitoring aerosol effects in liquid-water clouds – theoretical framework C. Jimenez et al. 10.5194/acp-20-15247-2020
- Impacts of laser beam divergence on lidar multiple scattering polarization returns from water clouds Z. Wang et al. 10.1016/j.jqsrt.2021.107618
- An EarthCARE/ATLID simulator to evaluate cloud description in climate models M. Reverdy et al. 10.1002/2015JD023919
- Circular polarization in atmospheric aerosols S. Gassó & K. Knobelspiesse 10.5194/acp-22-13581-2022
- Potential of polarization/Raman lidar to separate fine dust, coarse dust, maritime, and anthropogenic aerosol profiles R. Mamouri & A. Ansmann 10.5194/amt-10-3403-2017
- Multiwavelength Raman lidar system for profiling the CCN number concentrations J. Mao et al. 10.1364/AO.538248
- Understanding Aerosol–Cloud Interactions through Lidar Techniques: A Review F. Cairo et al. 10.3390/rs16152788
- 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
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- 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
- 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
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- Aeolus L2 Activities at KNMI D. Donovan et al. 10.1051/epjconf/202023701002
- Design and simulation analysis of spectroscopic system for synchronous atmospheric three-phase water detection based on Raman lidar . Wang Yu-Feng et al. 10.7498/aps.67.20180644
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- Effects of cirrus heterogeneity on lidar CALIOP/CALIPSO data A. Alkasem et al. 10.1016/j.jqsrt.2017.07.005
1 citations as recorded by crossref.
Saved (final revised paper)
Latest update: 21 Nov 2024
Short summary
Stratocumulus clouds are important for weather and climate. They contain relatively little water but are optically thick enough to turn sunny days to grey and globally they have a strong impact on the Earth's energy budget. A new lidar (laser-radar) technique has been developed that is well suited for remotely measuring stratocumulus properties in the important cloud-based region. The technique can supply information that is difficult or impossible for other remote-sensing methods to provide.
Stratocumulus clouds are important for weather and climate. They contain relatively little water...
