Articles | Volume 15, issue 3
https://doi.org/10.5194/acp-15-1503-2015
© Author(s) 2015. 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-15-1503-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
11 Feb 2015
Research article |
| 11 Feb 2015
Effects of pre-existing ice crystals on cirrus clouds and comparison between different ice nucleation parameterizations with the Community Atmosphere Model (CAM5)
Department of Atmospheric Science, University of Wyoming, Laramie, WY, USA
Hebei Key Laboratory for Meteorology and Eco-environment, Shijiazhuang, China
Hebei Climate Center, Shijiazhuang, China
X. Liu
CORRESPONDING AUTHOR
Department of Atmospheric Science, University of Wyoming, Laramie, WY, USA
Atmospheric Science and Global Change Division, Pacific Northwest National Laboratory, Richland, WA, USA
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46 citations as recorded by crossref.
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- The Role of Mineral Dust Aerosol Particles in Aviation Soot‐Cirrus Interactions B. Kärcher et al. 10.1029/2022JD037881
- Limitations of assuming internal mixing between different aerosol species: a case study with sulfate geoengineering simulations D. Visioni et al. 10.5194/acp-22-1739-2022
- Evaluation of the CAM6 Climate Model Using Cloud Observations at McMurdo Station, Antarctica J. Yip et al. 10.1029/2021JD034653
- Evaluation of cloud‐resolving model simulations of midlatitude cirrus with ARM and A‐train observations A. Muhlbauer et al. 10.1002/2014JD022570
- Effect of gravity wave temperature fluctuations on homogeneous ice nucleation in the tropical tropopause layer T. Dinh et al. 10.5194/acp-16-35-2016
- A Numerical Modeling Study on the Earth’s Surface Brightening Effect of Cirrus Thinning X. Shi et al. 10.3390/atmos15020189
- Orographic Cirrus and Its Radiative Forcing in NCAR CAM6 K. Lyu et al. 10.1029/2022JD038164
- Sensitivity Study of Anthropogenic Aerosol Indirect Forcing through Cirrus Clouds with CAM5 Using Three Ice Nucleation Parameterizations X. Shi & X. Liu 10.1007/s13351-018-8011-z
- Developing a Cloud Scheme With Prognostic Cloud Fraction and Two Moment Microphysics for ECHAM‐HAM S. Muench & U. Lohmann 10.1029/2019MS001824
- Coupled Climate Responses to Recent Australian Wildfire and COVID‐19 Emissions Anomalies Estimated in CESM2 J. Fasullo et al. 10.1029/2021GL093841
- Estimating the potential cooling effect of cirrus thinning achieved via the seeding approach J. Liu & X. Shi 10.5194/acp-21-10609-2021
- 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
- Direct comparisons of ice cloud macro- and microphysical properties simulated by the Community Atmosphere Model version 5 with HIPPO aircraft observations C. Wu et al. 10.5194/acp-17-4731-2017
- 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
- 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
- Evaluation of Cloud and Precipitation Simulations in CAM6 and AM4 Using Observations Over the Southern Ocean X. Zhou et al. 10.1029/2020EA001241
- Effect of cloud‐scale vertical velocity on the contribution of homogeneous nucleation to cirrus formation and radiative forcing X. Shi & X. Liu 10.1002/2016GL069531
- Cirrus Cloud Properties as Seen by the CALIPSO Satellite and ECHAM-HAM Global Climate Model B. Gasparini et al. 10.1175/JCLI-D-16-0608.1
- Aerosol Indirect Effects on Cirrus Clouds Based on Global Aircraft Observations R. Patnaude & M. Diao 10.1029/2019GL086550
- Radiative and Chemical Response to Interactive Stratospheric Sulfate Aerosols in Fully Coupled CESM1(WACCM) M. Mills et al. 10.1002/2017JD027006
- Understanding cirrus ice crystal number variability for different heterogeneous ice nucleation spectra S. Sullivan et al. 10.5194/acp-16-2611-2016
- 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
- Improved Dust Representation and Impacts on Dust Transport and Radiative Effect in CAM5 Z. Ke et al. 10.1029/2021MS002845
- Effective radiative forcing of anthropogenic aerosols in E3SM version 1: historical changes, causality, decomposition, and parameterization sensitivities K. Zhang et al. 10.5194/acp-22-9129-2022
- Impact of aerosols on ice crystal size B. Zhao et al. 10.5194/acp-18-1065-2018
- Idealized Simulations of the Tropical Climate and Variability in the Single Column Atmosphere Model (SCAM): Radiative‐Convective Equilibrium I. Hu et al. 10.1029/2021MS002826
- Nonequilibrium Fractionation During Ice Cloud Formation in iCAM5: Evaluating the Common Parameterization of Supersaturation as a Linear Function of Temperature M. Dütsch et al. 10.1029/2019MS001764
- The Community Earth System Model Version 2 (CESM2) G. Danabasoglu et al. 10.1029/2019MS001916
- A multiyear tropical Pacific cooling response to recent Australian wildfires in CESM2 J. Fasullo et al. 10.1126/sciadv.adg1213
- Radiative Forcing of Nitrate Aerosols From 1975 to 2010 as Simulated by MOSAIC Module in CESM2‐MAM4 Z. Lu et al. 10.1029/2021JD034809
- Examination of aerosol indirect effects during cirrus cloud evolution F. Maciel et al. 10.5194/acp-23-1103-2023
- Anthropogenic Aerosol Indirect Effects in Cirrus Clouds J. Penner et al. 10.1029/2018JD029204
- What controls the low ice number concentration in the upper troposphere? C. Zhou et al. 10.5194/acp-16-12411-2016
- A Parameterization of Cirrus Cloud Formation: Revisiting Competing Ice Nucleation B. Kärcher 10.1029/2022JD036907
- Impacts of the ice-particle size distribution shape parameter on climate simulations with the Community Atmosphere Model Version 6 (CAM6) W. Zhang et al. 10.5194/gmd-15-7751-2022
- Simulating Observations of Southern Ocean Clouds and Implications for Climate A. Gettelman et al. 10.1029/2020JD032619
- The path to CAM6: coupled simulations with CAM5.4 and CAM5.5 P. Bogenschutz et al. 10.5194/gmd-11-235-2018
- Diurnal Differences in Tropical Maritime Anvil Cloud Evolution B. Gasparini et al. 10.1175/JCLI-D-21-0211.1
- Can cirrus cloud seeding be used for geoengineering? J. Penner et al. 10.1002/2015GL065992
- Comparison of Modeled and Measured Ice Nucleating Particle Composition in a Cirrus Cloud R. Ullrich et al. 10.1175/JAS-D-18-0034.1
- Radiative forcing of anthropogenic aerosols on cirrus clouds using a hybrid ice nucleation scheme J. Zhu & J. Penner 10.5194/acp-20-7801-2020
- 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
- Addressing the urgent need for direct climate cooling: Rationale and options R. Baiman et al. 10.1093/oxfclm/kgae014
- Airborne observations of the microphysical structure of two contrasting cirrus clouds S. O'Shea et al. 10.1002/2016JD025278
- Investigating ice nucleation in cirrus clouds with an aerosol‐enabled Multiscale Modeling Framework C. Zhang et al. 10.1002/2014MS000343
44 citations as recorded by crossref.
- Enhancing Understanding of the Hydrological Cycle via Pairing of Process‐Oriented and Isotope Ratio Tracers R. Fiorella et al. 10.1029/2021MS002648
- The Role of Mineral Dust Aerosol Particles in Aviation Soot‐Cirrus Interactions B. Kärcher et al. 10.1029/2022JD037881
- Limitations of assuming internal mixing between different aerosol species: a case study with sulfate geoengineering simulations D. Visioni et al. 10.5194/acp-22-1739-2022
- Evaluation of the CAM6 Climate Model Using Cloud Observations at McMurdo Station, Antarctica J. Yip et al. 10.1029/2021JD034653
- Evaluation of cloud‐resolving model simulations of midlatitude cirrus with ARM and A‐train observations A. Muhlbauer et al. 10.1002/2014JD022570
- Effect of gravity wave temperature fluctuations on homogeneous ice nucleation in the tropical tropopause layer T. Dinh et al. 10.5194/acp-16-35-2016
- A Numerical Modeling Study on the Earth’s Surface Brightening Effect of Cirrus Thinning X. Shi et al. 10.3390/atmos15020189
- Orographic Cirrus and Its Radiative Forcing in NCAR CAM6 K. Lyu et al. 10.1029/2022JD038164
- Sensitivity Study of Anthropogenic Aerosol Indirect Forcing through Cirrus Clouds with CAM5 Using Three Ice Nucleation Parameterizations X. Shi & X. Liu 10.1007/s13351-018-8011-z
- Developing a Cloud Scheme With Prognostic Cloud Fraction and Two Moment Microphysics for ECHAM‐HAM S. Muench & U. Lohmann 10.1029/2019MS001824
- Coupled Climate Responses to Recent Australian Wildfire and COVID‐19 Emissions Anomalies Estimated in CESM2 J. Fasullo et al. 10.1029/2021GL093841
- Estimating the potential cooling effect of cirrus thinning achieved via the seeding approach J. Liu & X. Shi 10.5194/acp-21-10609-2021
- 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
- Direct comparisons of ice cloud macro- and microphysical properties simulated by the Community Atmosphere Model version 5 with HIPPO aircraft observations C. Wu et al. 10.5194/acp-17-4731-2017
- 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
- 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
- Evaluation of Cloud and Precipitation Simulations in CAM6 and AM4 Using Observations Over the Southern Ocean X. Zhou et al. 10.1029/2020EA001241
- Effect of cloud‐scale vertical velocity on the contribution of homogeneous nucleation to cirrus formation and radiative forcing X. Shi & X. Liu 10.1002/2016GL069531
- Cirrus Cloud Properties as Seen by the CALIPSO Satellite and ECHAM-HAM Global Climate Model B. Gasparini et al. 10.1175/JCLI-D-16-0608.1
- Aerosol Indirect Effects on Cirrus Clouds Based on Global Aircraft Observations R. Patnaude & M. Diao 10.1029/2019GL086550
- Radiative and Chemical Response to Interactive Stratospheric Sulfate Aerosols in Fully Coupled CESM1(WACCM) M. Mills et al. 10.1002/2017JD027006
- Understanding cirrus ice crystal number variability for different heterogeneous ice nucleation spectra S. Sullivan et al. 10.5194/acp-16-2611-2016
- 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
- Improved Dust Representation and Impacts on Dust Transport and Radiative Effect in CAM5 Z. Ke et al. 10.1029/2021MS002845
- Effective radiative forcing of anthropogenic aerosols in E3SM version 1: historical changes, causality, decomposition, and parameterization sensitivities K. Zhang et al. 10.5194/acp-22-9129-2022
- Impact of aerosols on ice crystal size B. Zhao et al. 10.5194/acp-18-1065-2018
- Idealized Simulations of the Tropical Climate and Variability in the Single Column Atmosphere Model (SCAM): Radiative‐Convective Equilibrium I. Hu et al. 10.1029/2021MS002826
- Nonequilibrium Fractionation During Ice Cloud Formation in iCAM5: Evaluating the Common Parameterization of Supersaturation as a Linear Function of Temperature M. Dütsch et al. 10.1029/2019MS001764
- The Community Earth System Model Version 2 (CESM2) G. Danabasoglu et al. 10.1029/2019MS001916
- A multiyear tropical Pacific cooling response to recent Australian wildfires in CESM2 J. Fasullo et al. 10.1126/sciadv.adg1213
- Radiative Forcing of Nitrate Aerosols From 1975 to 2010 as Simulated by MOSAIC Module in CESM2‐MAM4 Z. Lu et al. 10.1029/2021JD034809
- Examination of aerosol indirect effects during cirrus cloud evolution F. Maciel et al. 10.5194/acp-23-1103-2023
- Anthropogenic Aerosol Indirect Effects in Cirrus Clouds J. Penner et al. 10.1029/2018JD029204
- What controls the low ice number concentration in the upper troposphere? C. Zhou et al. 10.5194/acp-16-12411-2016
- A Parameterization of Cirrus Cloud Formation: Revisiting Competing Ice Nucleation B. Kärcher 10.1029/2022JD036907
- Impacts of the ice-particle size distribution shape parameter on climate simulations with the Community Atmosphere Model Version 6 (CAM6) W. Zhang et al. 10.5194/gmd-15-7751-2022
- Simulating Observations of Southern Ocean Clouds and Implications for Climate A. Gettelman et al. 10.1029/2020JD032619
- The path to CAM6: coupled simulations with CAM5.4 and CAM5.5 P. Bogenschutz et al. 10.5194/gmd-11-235-2018
- Diurnal Differences in Tropical Maritime Anvil Cloud Evolution B. Gasparini et al. 10.1175/JCLI-D-21-0211.1
- Can cirrus cloud seeding be used for geoengineering? J. Penner et al. 10.1002/2015GL065992
- Comparison of Modeled and Measured Ice Nucleating Particle Composition in a Cirrus Cloud R. Ullrich et al. 10.1175/JAS-D-18-0034.1
- Radiative forcing of anthropogenic aerosols on cirrus clouds using a hybrid ice nucleation scheme J. Zhu & J. Penner 10.5194/acp-20-7801-2020
- 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
- Addressing the urgent need for direct climate cooling: Rationale and options R. Baiman et al. 10.1093/oxfclm/kgae014
Saved (final revised paper)
Saved (preprint)
Latest update: 23 Nov 2024
Short summary
The ice nucleation scheme in the Community Atmosphere Model (CAM5) was improved by considering the effects of pre-existing ice crystals and some other modifications. Subsequently, the comparison between different ice nucleation parameterizations is investigated. Experiment using the ice nucleation parameterization of Kärcher et al. (2006) predicts a much smaller anthropogenic aerosol indirect forcing than that using the parameterizations of Liu and Penner (2005) and Barahona and Nenes (2009).
The ice nucleation scheme in the Community Atmosphere Model (CAM5) was improved by considering...
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