Articles | Volume 12, issue 12
https://doi.org/10.5194/amt-12-6601-2019
© Author(s) 2019. 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-12-6601-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
13 Dec 2019
Research article |
| 13 Dec 2019
| 13 Dec 2019
Ice crystal number concentration from lidar, cloud radar and radar wind profiler measurements
Leibniz Institute for Tropospheric Research, Permoserstr. 15, 04318 Leipzig, Germany
Patric Seifert
Leibniz Institute for Tropospheric Research, Permoserstr. 15, 04318 Leipzig, Germany
Martin Radenz
Leibniz Institute for Tropospheric Research, Permoserstr. 15, 04318 Leipzig, Germany
Holger Baars
Leibniz Institute for Tropospheric Research, Permoserstr. 15, 04318 Leipzig, Germany
Albert Ansmann
Leibniz Institute for Tropospheric Research, Permoserstr. 15, 04318 Leipzig, Germany
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Cited
15 citations as recorded by crossref.
- Retrieving ice-nucleating particle concentration and ice multiplication factors using active remote sensing validated by in situ observations J. Wieder et al. 10.5194/acp-22-9767-2022
- Quantifying Uncertainty in Ice Particle Velocity–Dimension Relationships Using MC3E Observations A. Dzambo et al. 10.1175/JAS-D-21-0322.1
- Technical note: Identification of two ice-nucleating regimes for dust-related cirrus clouds based on the relationship between number concentrations of ice-nucleating particles and ice crystals Y. He et al. 10.5194/acp-22-13067-2022
- Arctic Cloud‐Base Ice Precipitation Properties Retrieved Using Bayesian Inference I. Silber 10.1029/2022JD038202
- Earth-system-model evaluation of cloud and precipitation occurrence for supercooled and warm clouds over the Southern Ocean's Macquarie Island M. Stanford et al. 10.5194/acp-23-9037-2023
- Microphysical investigation of the seeder and feeder region of an Alpine mixed-phase cloud F. Ramelli et al. 10.5194/acp-21-6681-2021
- Ice-nucleating particle versus ice crystal number concentrationin altocumulus and cirrus layers embedded in Saharan dust:a closure study A. Ansmann et al. 10.5194/acp-19-15087-2019
- Microphysical process of precipitating hydrometeors from warm-front mid-level stratiform clouds revealed by ground-based lidar observations Y. Yi et al. 10.5194/acp-21-17649-2021
- 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
- Invisible aerosol layers: improved lidar detection capabilities by means of laser-induced aerosol fluorescence B. Gast et al. 10.5194/acp-25-3995-2025
- Wildfire smoke triggers cirrus formation: lidar observations over the eastern Mediterranean R. Mamouri et al. 10.5194/acp-23-14097-2023
- Annual cycle of aerosol properties over the central Arctic during MOSAiC 2019–2020 – light-extinction, CCN, and INP levels from the boundary layer to the tropopause A. Ansmann et al. 10.5194/acp-23-12821-2023
- Determination of the vertical distribution of in-cloud particle shape using SLDR-mode 35 GHz scanning cloud radar A. Teisseire et al. 10.5194/amt-17-999-2024
- 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
- Falling Mixed-Phase Ice Virga and their Liquid Parent Cloud Layers as Observed by Ground-Based Lidars C. Cheng & F. Yi 10.3390/rs12132094
15 citations as recorded by crossref.
- Retrieving ice-nucleating particle concentration and ice multiplication factors using active remote sensing validated by in situ observations J. Wieder et al. 10.5194/acp-22-9767-2022
- Quantifying Uncertainty in Ice Particle Velocity–Dimension Relationships Using MC3E Observations A. Dzambo et al. 10.1175/JAS-D-21-0322.1
- Technical note: Identification of two ice-nucleating regimes for dust-related cirrus clouds based on the relationship between number concentrations of ice-nucleating particles and ice crystals Y. He et al. 10.5194/acp-22-13067-2022
- Arctic Cloud‐Base Ice Precipitation Properties Retrieved Using Bayesian Inference I. Silber 10.1029/2022JD038202
- Earth-system-model evaluation of cloud and precipitation occurrence for supercooled and warm clouds over the Southern Ocean's Macquarie Island M. Stanford et al. 10.5194/acp-23-9037-2023
- Microphysical investigation of the seeder and feeder region of an Alpine mixed-phase cloud F. Ramelli et al. 10.5194/acp-21-6681-2021
- Ice-nucleating particle versus ice crystal number concentrationin altocumulus and cirrus layers embedded in Saharan dust:a closure study A. Ansmann et al. 10.5194/acp-19-15087-2019
- Microphysical process of precipitating hydrometeors from warm-front mid-level stratiform clouds revealed by ground-based lidar observations Y. Yi et al. 10.5194/acp-21-17649-2021
- 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
- Invisible aerosol layers: improved lidar detection capabilities by means of laser-induced aerosol fluorescence B. Gast et al. 10.5194/acp-25-3995-2025
- Wildfire smoke triggers cirrus formation: lidar observations over the eastern Mediterranean R. Mamouri et al. 10.5194/acp-23-14097-2023
- Annual cycle of aerosol properties over the central Arctic during MOSAiC 2019–2020 – light-extinction, CCN, and INP levels from the boundary layer to the tropopause A. Ansmann et al. 10.5194/acp-23-12821-2023
- Determination of the vertical distribution of in-cloud particle shape using SLDR-mode 35 GHz scanning cloud radar A. Teisseire et al. 10.5194/amt-17-999-2024
- 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
- Falling Mixed-Phase Ice Virga and their Liquid Parent Cloud Layers as Observed by Ground-Based Lidars C. Cheng & F. Yi 10.3390/rs12132094
Latest update: 06 May 2025
Short summary
In the present paper, we present a novel remote-sensing technique for the measurement of ice crystal number concentrations in clouds. The fall velocity of ice crystals measured with values from cloud radar and a radar wind profiler is used in order to derive information about ice crystal size and number concentration. In contrast to existing methods based on the combination of lidar and cloud radar, the present method can also be used in optically thick clouds.
In the present paper, we present a novel remote-sensing technique for the measurement of ice...
