Articles | Volume 18, issue 19
https://doi.org/10.5194/acp-18-14351-2018
© Author(s) 2018. 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-18-14351-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
09 Oct 2018
Research article |
| 09 Oct 2018
| 09 Oct 2018
Ice crystal number concentration estimates from lidar–radar satellite remote sensing – Part 2: Controls on the ice crystal number concentration
Edward Gryspeerdt
CORRESPONDING AUTHOR
Space and Atmospheric Physics Group, Imperial College London, London, UK
Odran Sourdeval
Institute for Meteorology, Universität Leipzig, Leipzig, Germany
now at: Laboratoire d'Optique Atmosphérique, Université Lille 1, Villeneuve d'Ascq, France
Johannes Quaas
Institute for Meteorology, Universität Leipzig, Leipzig, Germany
Julien Delanoë
Laboratoire Atmosphères, Milieux, Observations Spatiales/IPSL/UVSQ/CNRS/UPMC, Guyancourt, France
Martina Krämer
Forschungszentrum Jülich, Institut für Energie und Klimaforschung (IEK-7), Jülich, Germany
Philipp Kühne
Institute for Meteorology, Universität Leipzig, Leipzig, Germany
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42 citations as recorded by crossref.
- 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. https://doi.org/10.5194/acp-22-13067-2022
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- Sensitivity of convectively driven tropical tropopause cirrus properties to ice habits in high-resolution simulations F. Lamraoui et al. https://doi.org/10.5194/acp-23-2393-2023
- Characteristics of Ice Clouds Over Mountain Regions Detected by CALIPSO and CloudSat Satellite Observations T. Seiki et al. https://doi.org/10.1029/2019JD030519
- Recent global nonhydrostatic modeling approach without using a cumulus parameterization to understand the mechanisms underlying cloud changes due to global warming A. Noda et al. https://doi.org/10.1186/s40645-023-00583-x
- Cirrus cloud thinning using a more physically based ice microphysics scheme in the ECHAM-HAM general circulation model C. Tully et al. https://doi.org/10.5194/acp-22-11455-2022
- Characteristics of Cirrus Clouds from Different Formation Mechanisms X. Hu et al. https://doi.org/10.34133/remotesensing.0666
- Constraining a Radiative Transfer Model with Satellite Retrievals: Contrasts between cirrus formed via homogeneous and heterogeneous freezing and their implications for cirrus cloud thinning E. Erfani & D. Mitchell https://doi.org/10.5194/acp-26-523-2026
- Importance of ice nucleation and precipitation on climate with the Parameterization of Unified Microphysics Across Scales version 1 (PUMASv1) A. Gettelman et al. https://doi.org/10.5194/gmd-16-1735-2023
- On the impact of ice formation processes and sedimentation on cirrus origin classification in warm conveyor belt outflow T. Lüttmer et al. https://doi.org/10.5194/acp-25-10245-2025
- Bounding Global Aerosol Radiative Forcing of Climate Change N. Bellouin et al. https://doi.org/10.1029/2019RG000660
- Surprising similarities in model and observational aerosol radiative forcing estimates E. Gryspeerdt et al. https://doi.org/10.5194/acp-20-613-2020
- An observational study of the effects of aerosols on diurnal variation of heavy rainfall and associated clouds over Beijing–Tianjin–Hebei S. Zhou et al. https://doi.org/10.5194/acp-20-5211-2020
- Influence of long-range transported Asian dust on cirrus cloud formation over central Pacific Y. He et al. https://doi.org/10.1051/e3sconf/202457505003
- Cold cloud microphysical process rates in a global chemistry–climate model S. Bacer et al. https://doi.org/10.5194/acp-21-1485-2021
- Optical Property Model for Cirrus Clouds Based on Airborne Multi-Angle Polarization Observations Y. Wang et al. https://doi.org/10.3390/rs13142754
- A Parameterization of Cirrus Cloud Formation: Revisiting Competing Ice Nucleation B. Kärcher https://doi.org/10.1029/2022JD036907
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- Strong Ocean/Sea‐Ice Contrasts Observed in Satellite‐Derived Ice Crystal Number Concentrations in Arctic Ice Boundary‐Layer Clouds I. Papakonstantinou‐Presvelou et al. https://doi.org/10.1029/2022GL098207
- Addressing the urgent need for direct climate cooling: Rationale and options R. Baiman et al. https://doi.org/10.1093/oxfclm/kgae014
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- Decreased Aviation Leads to Increased Ice Crystal Number and a Positive Radiative Effect in Cirrus Clouds J. Zhu et al. https://doi.org/10.1029/2021AV000546
- Frontiers in Satellite‐Based Estimates of Cloud‐Mediated Aerosol Forcing D. Rosenfeld et al. https://doi.org/10.1029/2022RG000799
- Evaluating Errors in Gamma-Function Representations of the Raindrop Size Distribution: A Method for Determining the Optimal Parameter Set for Use in Bulk Microphysics Schemes Y. Shan et al. https://doi.org/10.1175/JAS-D-18-0259.1
- Aerosol Effective Radiative Forcing in the Online Aerosol Coupled CAS-FGOALS-f3-L Climate Model H. Wang et al. https://doi.org/10.3390/atmos11101115
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- Global Radiative Impacts of Mineral Dust Perturbations Through Stratiform Clouds Z. McGraw et al. https://doi.org/10.1029/2019JD031807
Saved (final revised paper)
Latest update: 27 Oct 2026
Short summary
The concentration of ice crystals in a cloud affects both the properties and the life cycle of the cloud. This work uses a new satellite retrieval to investigate controls on the ice crystal concentration at a global scale. Both temperature and vertical wind speed in a cloud have a strong impact on the concentration of ice crystals. The ice crystal number is also related to the aerosol environment; defining this relation opens up new ways to investigate human impacts on clouds and the climate.
The concentration of ice crystals in a cloud affects both the properties and the life cycle of...
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