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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31 citations as recorded by crossref.
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- An EarthCARE/ATLID simulator to evaluate cloud description in climate models M. Reverdy et al. 10.1002/2015JD023919
- Development of ATLID Retrieval Algorithms D. Donovan et al. 10.1051/epjconf/202023701005
- 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
- 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
- Local ice formation via liquid water growth in slowly ascending humid aerosol/liquid water layers observed with ground-based lidars and radiosondes C. Wu & F. Yi 10.1002/2016JD025765
- 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
- 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
- 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
- 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
- Remote Sensing J. Bühl et al. 10.1175/AMSMONOGRAPHS-D-16-0015.1
- Simultaneous and synergistic profiling of cloud and drizzle properties using ground-based observations S. Rusli et al. 10.5194/amt-10-4777-2017
- On Depolarization Lidar-Based Method for The Determination of Liquid-Cloud Microphysical Properties G. Roy et al. 10.1051/epjconf/201611916002
- Aerosol particle depolarization ratio at 1565 nm measured with a Halo Doppler lidar V. Vakkari et al. 10.5194/acp-21-5807-2021
- TWOMEY EFFECT IN SUBTROPICAL STRATOCUMULUS CLOUDS FROM UV DEPOLARIZATION LIDAR M. de Graaf et al. 10.1051/epjconf/201817605002
- A novel multiple small-angle scattering framework for interpreting anisotropic polarization pattern of lidar returns from water clouds J. Zhang et al. 10.1016/j.jqsrt.2019.106794
- 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
- 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
- The Expected Impact of Multiple Scattering on ATLID Signals D. Donovan et al. 10.1051/epjconf/201611901006
- Depolarization Lidar Determination Of Cloud-Base Microphysical Properties D. Donovan et al. 10.1051/epjconf/201611916010
- Ozone depletion due to dust release of iodine in the free troposphere T. Koenig et al. 10.1126/sciadv.abj6544
- 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
- Polarization lidar: an extended three-signal calibration approach C. Jimenez et al. 10.5194/amt-12-1077-2019
- 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
- Effects of cirrus heterogeneity on lidar CALIOP/CALIPSO data A. Alkasem et al. 10.1016/j.jqsrt.2017.07.005
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Saved (final revised paper)
Latest update: 25 Mar 2023
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...
