Articles | Volume 16, issue 19
https://doi.org/10.5194/acp-16-12411-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-16-12411-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
04 Oct 2016
Research article |
| 04 Oct 2016
What controls the low ice number concentration in the upper troposphere?
Cheng Zhou
CORRESPONDING AUTHOR
Department of Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor, MI, USA
Joyce E. Penner
Department of Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor, MI, USA
Guangxing Lin
Department of Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor, MI, USA
now at: Pacific Northwest National Laboratory, Richland, WA, USA
Xiaohong Liu
Department of Atmospheric Science, University of Wyoming, Laramie, WY, USA
Minghuai Wang
Institute for Climate and Global Change Research & School of Atmospheric Sciences, Nanjing University, 210023 Nanjing, China
Collaborative Innovation Center of Climate Change, Nanjing, Jiangsu Province, China
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Cited
11 citations as recorded by crossref.
- 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
- Cirrus Clouds and Their Response to Anthropogenic Activities B. Kärcher 10.1007/s40641-017-0060-3
- Sensitivity of Homogeneous Ice Nucleation to Aerosol Perturbations and Its Implications for Aerosol Indirect Effects Through Cirrus Clouds X. Liu & X. Shi 10.1002/2017GL076721
- Radiative forcing of anthropogenic aerosols on cirrus clouds using a hybrid ice nucleation scheme J. Zhu & J. Penner 10.5194/acp-20-7801-2020
- Implementation of a comprehensive ice crystal formation parameterization for cirrus and mixed-phase clouds in the EMAC model (based on MESSy 2.53) S. Bacer et al. 10.5194/gmd-11-4021-2018
- 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
- Long-lived contrails and convective cirrus above the tropical tropopause U. Schumann et al. 10.5194/acp-17-2311-2017
- Global Radiative Impacts of Mineral Dust Perturbations Through Stratiform Clouds Z. McGraw et al. 10.1029/2019JD031807
- Direct estimation of the global distribution of vertical velocity within cirrus clouds D. Barahona et al. 10.1038/s41598-017-07038-6
- Anthropogenic Aerosol Indirect Effects in Cirrus Clouds J. Penner et al. 10.1029/2018JD029204
- Prognostic parameterization of cloud ice with a single category in the aerosol-climate model ECHAM(v6.3.0)-HAM(v2.3) R. Dietlicher et al. 10.5194/gmd-11-1557-2018
11 citations as recorded by crossref.
- 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
- Cirrus Clouds and Their Response to Anthropogenic Activities B. Kärcher 10.1007/s40641-017-0060-3
- Sensitivity of Homogeneous Ice Nucleation to Aerosol Perturbations and Its Implications for Aerosol Indirect Effects Through Cirrus Clouds X. Liu & X. Shi 10.1002/2017GL076721
- Radiative forcing of anthropogenic aerosols on cirrus clouds using a hybrid ice nucleation scheme J. Zhu & J. Penner 10.5194/acp-20-7801-2020
- Implementation of a comprehensive ice crystal formation parameterization for cirrus and mixed-phase clouds in the EMAC model (based on MESSy 2.53) S. Bacer et al. 10.5194/gmd-11-4021-2018
- 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
- Long-lived contrails and convective cirrus above the tropical tropopause U. Schumann et al. 10.5194/acp-17-2311-2017
- Global Radiative Impacts of Mineral Dust Perturbations Through Stratiform Clouds Z. McGraw et al. 10.1029/2019JD031807
- Direct estimation of the global distribution of vertical velocity within cirrus clouds D. Barahona et al. 10.1038/s41598-017-07038-6
- Anthropogenic Aerosol Indirect Effects in Cirrus Clouds J. Penner et al. 10.1029/2018JD029204
- Prognostic parameterization of cloud ice with a single category in the aerosol-climate model ECHAM(v6.3.0)-HAM(v2.3) R. Dietlicher et al. 10.5194/gmd-11-1557-2018
Latest update: 14 Dec 2024
Short summary
We examined the different ice nucleation parameterization factors that affect the simulated ice number concentrations in cirrus clouds in the upper troposphere using the CAM5 model. We examined the effect from three different updraft velocities (from low to high), two different water vapour accommodation coefficients (α = 0.1 or 1), the effect of including vapour deposition onto pre-existing ice particles during ice nucleation, and the effect of including SOA as heterogeneous ice nuclei.
We examined the different ice nucleation parameterization factors that affect the simulated ice...
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