Articles | Volume 18, issue 23
Atmos. Chem. Phys., 18, 17325–17354, 2018
https://doi.org/10.5194/acp-18-17325-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Atmos. Chem. Phys., 18, 17325–17354, 2018
https://doi.org/10.5194/acp-18-17325-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article 06 Dec 2018
Research article | 06 Dec 2018
CALIPSO (IIR–CALIOP) retrievals of cirrus cloud ice-particle concentrations
David L. Mitchell et al.
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Cited
18 citations as recorded by crossref.
- 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
- Version 4 CALIPSO Imaging Infrared Radiometer ice and liquid water cloud microphysical properties – Part II: Results over oceans A. Garnier et al. 10.5194/amt-14-3277-2021
- Ice crystal number concentration from lidar, cloud radar and radar wind profiler measurements J. Bühl et al. 10.5194/amt-12-6601-2019
- Observational Evidence that Radiative Heating Modifies the Life Cycle of Tropical Anvil Clouds C. Wall et al. 10.1175/JCLI-D-20-0204.1
- Characteristics of Ice Clouds Over Mountain Regions Detected by CALIPSO and CloudSat Satellite Observations T. Seiki et al. 10.1029/2019JD030519
- Optical Property Model for Cirrus Clouds Based on Airborne Multi-Angle Polarization Observations Y. Wang et al. 10.3390/rs13142754
- Bounding Global Aerosol Radiative Forcing of Climate Change N. Bellouin et al. 10.1029/2019RG000660
- A microphysics guide to cirrus – Part 2: Climatologies of clouds and humidity from observations M. Krämer et al. 10.5194/acp-20-12569-2020
- 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
- The Global Distribution of Cirrus Clouds Reflectance Based on MODIS Level-3 Data F. Zhao et al. 10.3390/atmos11020219
- Surprising similarities in model and observational aerosol radiative forcing estimates E. Gryspeerdt et al. 10.5194/acp-20-613-2020
- Effects of thermodynamics, dynamics and aerosols on cirrus clouds based on in situ observations and NCAR CAM6 R. Patnaude et al. 10.5194/acp-21-1835-2021
- Characterising optical array particle imaging probes: implications for small-ice-crystal observations S. O'Shea et al. 10.5194/amt-14-1917-2021
- A Review of Ice Particle Shapes in Cirrus formed In Situ and in Anvils R. Lawson et al. 10.1029/2018JD030122
- Version 4 CALIPSO Imaging Infrared Radiometer ice and liquid water cloud microphysical properties – Part I: The retrieval algorithms A. Garnier et al. 10.5194/amt-14-3253-2021
- Anthropogenic Aerosol Indirect Effects in Cirrus Clouds J. Penner et al. 10.1029/2018JD029204
- Ice crystal number concentration estimates from lidar–radar satellite remote sensing – Part 2: Controls on the ice crystal number concentration E. Gryspeerdt et al. 10.5194/acp-18-14351-2018
- Ice crystal number concentration estimates from lidar–radar satellite remote sensing – Part 1: Method and evaluation O. Sourdeval et al. 10.5194/acp-18-14327-2018
15 citations as recorded by crossref.
- 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
- Version 4 CALIPSO Imaging Infrared Radiometer ice and liquid water cloud microphysical properties – Part II: Results over oceans A. Garnier et al. 10.5194/amt-14-3277-2021
- Ice crystal number concentration from lidar, cloud radar and radar wind profiler measurements J. Bühl et al. 10.5194/amt-12-6601-2019
- Observational Evidence that Radiative Heating Modifies the Life Cycle of Tropical Anvil Clouds C. Wall et al. 10.1175/JCLI-D-20-0204.1
- Characteristics of Ice Clouds Over Mountain Regions Detected by CALIPSO and CloudSat Satellite Observations T. Seiki et al. 10.1029/2019JD030519
- Optical Property Model for Cirrus Clouds Based on Airborne Multi-Angle Polarization Observations Y. Wang et al. 10.3390/rs13142754
- Bounding Global Aerosol Radiative Forcing of Climate Change N. Bellouin et al. 10.1029/2019RG000660
- A microphysics guide to cirrus – Part 2: Climatologies of clouds and humidity from observations M. Krämer et al. 10.5194/acp-20-12569-2020
- 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
- The Global Distribution of Cirrus Clouds Reflectance Based on MODIS Level-3 Data F. Zhao et al. 10.3390/atmos11020219
- Surprising similarities in model and observational aerosol radiative forcing estimates E. Gryspeerdt et al. 10.5194/acp-20-613-2020
- Effects of thermodynamics, dynamics and aerosols on cirrus clouds based on in situ observations and NCAR CAM6 R. Patnaude et al. 10.5194/acp-21-1835-2021
- Characterising optical array particle imaging probes: implications for small-ice-crystal observations S. O'Shea et al. 10.5194/amt-14-1917-2021
- A Review of Ice Particle Shapes in Cirrus formed In Situ and in Anvils R. Lawson et al. 10.1029/2018JD030122
- Version 4 CALIPSO Imaging Infrared Radiometer ice and liquid water cloud microphysical properties – Part I: The retrieval algorithms A. Garnier et al. 10.5194/amt-14-3253-2021
3 citations as recorded by crossref.
- Anthropogenic Aerosol Indirect Effects in Cirrus Clouds J. Penner et al. 10.1029/2018JD029204
- Ice crystal number concentration estimates from lidar–radar satellite remote sensing – Part 2: Controls on the ice crystal number concentration E. Gryspeerdt et al. 10.5194/acp-18-14351-2018
- Ice crystal number concentration estimates from lidar–radar satellite remote sensing – Part 1: Method and evaluation O. Sourdeval et al. 10.5194/acp-18-14327-2018
Latest update: 01 Dec 2021
Short summary
To realistically model a changing climate, global measurements of cirrus cloud ice-particle number concentration (N) and size (De) are needed, through which one may infer the general mechanism of ice formation. A satellite remote sensing method was developed to measure N and De. It was found that N was highest and De lowest at high latitudes. In the Arctic, cirrus clouds occurred much more often during winter, which may have an impact on mid-latitude winter weather.
To realistically model a changing climate, global measurements of cirrus cloud ice-particle...
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