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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- Surprising similarities in model and observational aerosol radiative forcing estimates E. Gryspeerdt et al. 10.5194/acp-20-613-2020
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31 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. 10.5194/acp-22-13067-2022
- Impacts of Sub-grid Ice Cloud Physics in a Turbulence Scheme on High Clouds and their Response to Global Warming T. OHNO et al. 10.2151/jmsj.2020-054
- A microphysics guide to cirrus – Part 2: Climatologies of clouds and humidity from observations M. Krämer et al. 10.5194/acp-20-12569-2020
- Understanding cirrus clouds using explainable machine learning K. Jeggle et al. 10.1017/eds.2023.14
- Sensitivity of convectively driven tropical tropopause cirrus properties to ice habits in high-resolution simulations F. Lamraoui et al. 10.5194/acp-23-2393-2023
- Characteristics of Ice Clouds Over Mountain Regions Detected by CALIPSO and CloudSat Satellite Observations T. Seiki et al. 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. 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. 10.5194/acp-22-11455-2022
- Importance of ice nucleation and precipitation on climate with the Parameterization of Unified Microphysics Across Scales version 1 (PUMASv1) A. Gettelman et al. 10.5194/gmd-16-1735-2023
- Bounding Global Aerosol Radiative Forcing of Climate Change N. Bellouin et al. 10.1029/2019RG000660
- Surprising similarities in model and observational aerosol radiative forcing estimates E. Gryspeerdt et al. 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. 10.5194/acp-20-5211-2020
- Cold cloud microphysical process rates in a global chemistry–climate model S. Bacer et al. 10.5194/acp-21-1485-2021
- Optical Property Model for Cirrus Clouds Based on Airborne Multi-Angle Polarization Observations Y. Wang et al. 10.3390/rs13142754
- A Parameterization of Cirrus Cloud Formation: Revisiting Competing Ice Nucleation B. Kärcher 10.1029/2022JD036907
- Opinion: Tropical cirrus – from micro-scale processes to climate-scale impacts B. Gasparini et al. 10.5194/acp-23-15413-2023
- 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
- Strong Ocean/Sea‐Ice Contrasts Observed in Satellite‐Derived Ice Crystal Number Concentrations in Arctic Ice Boundary‐Layer Clouds I. Papakonstantinou‐Presvelou et al. 10.1029/2022GL098207
- Atmospheric energy budget response to idealized aerosol perturbation in tropical cloud systems G. Dagan et al. 10.5194/acp-20-4523-2020
- Decreased Aviation Leads to Increased Ice Crystal Number and a Positive Radiative Effect in Cirrus Clouds J. Zhu et al. 10.1029/2021AV000546
- Frontiers in Satellite‐Based Estimates of Cloud‐Mediated Aerosol Forcing D. Rosenfeld et al. 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. 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. 10.3390/atmos11101115
- Vertical Structure of Tropical Deep Convective Systems at Different Life Stages From CloudSat Observations X. Hu et al. 10.1029/2021JD035115
- 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
- CALIPSO (IIR–CALIOP) retrievals of cirrus cloud ice-particle concentrations D. Mitchell et al. 10.5194/acp-18-17325-2018
- Arctic ice clouds over northern Sweden: microphysical properties studied with the Balloon-borne Ice Cloud particle Imager B-ICI V. Wolf et al. 10.5194/acp-18-17371-2018
- Spatio-temporal discrimination of molecular, aerosol and cloud scattering and polarization using a combination of a Raman lidar, Doppler cloud radar and microwave radiometer D. Wang et al. 10.1364/OE.393625
- Sensitivities of cloud radiative effects to large-scale meteorology and aerosols from global observations H. Andersen et al. 10.5194/acp-23-10775-2023
- Observation of Blue Corona Discharges and Cloud Microphysics in the Top of Thunderstorm Cells in Cyclone Fani D. Li et al. 10.1029/2022JD038328
- Global Radiative Impacts of Mineral Dust Perturbations Through Stratiform Clouds Z. McGraw et al. 10.1029/2019JD031807
Latest update: 19 Apr 2024
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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