Articles | Volume 19, issue 14
https://doi.org/10.5194/acp-19-9061-2019
© Author(s) 2019. 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-19-9061-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Jul 2019
Research article |
| 17 Jul 2019
| 17 Jul 2019
Elucidating ice formation pathways in the aerosol–climate model ECHAM6-HAM2
Remo Dietlicher
CORRESPONDING AUTHOR
Institute for Atmospheric and Climate Science, ETH Zürich, Universitätstrasse 16, 8092 Zürich, Switzerland
David Neubauer
Institute for Atmospheric and Climate Science, ETH Zürich, Universitätstrasse 16, 8092 Zürich, Switzerland
Ulrike Lohmann
Institute for Atmospheric and Climate Science, ETH Zürich, Universitätstrasse 16, 8092 Zürich, Switzerland
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Cited
20 citations as recorded by crossref.
- Space‐Based Analysis of the Cloud Thermodynamic Phase Transition for Varying Microphysical and Meteorological Regimes Q. Coopman et al. https://doi.org/10.1029/2020GL087122
- 100 Years of Progress in Cloud Physics, Aerosols, and Aerosol Chemistry Research S. Kreidenweis et al. https://doi.org/10.1175/AMSMONOGRAPHS-D-18-0024.1
- Dust radiative forcing in CMIP6 Earth System models: insights from the AerChemMIP piClim-2xdust experiment O. Haugvaldstad et al. https://doi.org/10.5194/acp-25-13199-2025
- Constraining the Impact of Dust‐Driven Droplet Freezing on Climate Using Cloud‐Top‐Phase Observations D. Villanueva et al. https://doi.org/10.1029/2021GL092687
- Assessing the potential for simplification in global climate model cloud microphysics U. Proske et al. https://doi.org/10.5194/acp-22-4737-2022
- How well are aerosol–cloud interactions represented in climate models? – Part 2: Isolating the aerosol impact on clouds following the 2014–2015 Holuhraun eruption G. Jordan et al. https://doi.org/10.5194/acp-25-13393-2025
- 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
- A Parameterization of Cirrus Cloud Formation: Revisiting Competing Ice Nucleation B. Kärcher https://doi.org/10.1029/2022JD036907
- Large discrepancies in dominant microphysical processes governing mixed-phase clouds across climate models H. Frostenberg et al. https://doi.org/10.1038/s41612-026-01342-7
- Cold cloud microphysical process rates in a global chemistry–climate model S. Bacer et al. https://doi.org/10.5194/acp-21-1485-2021
- Opinion: Tropical cirrus – from micro-scale processes to climate-scale impacts B. Gasparini et al. https://doi.org/10.5194/acp-23-15413-2023
- Addressing Complexity in Global Aerosol Climate Model Cloud Microphysics U. Proske et al. https://doi.org/10.1029/2022MS003571
- Assessing predicted cirrus ice properties between two deterministic ice formation parameterizations C. Tully et al. https://doi.org/10.5194/gmd-16-2957-2023
- Does prognostic seeding along flight tracks produce the desired effects of cirrus cloud thinning? C. Tully et al. https://doi.org/10.5194/acp-23-7673-2023
- Simulating the seeder–feeder impacts on cloud ice and precipitation over the Alps Z. Dedekind et al. https://doi.org/10.5194/acp-24-5389-2024
- Developing a Cloud Scheme With Prognostic Cloud Fraction and Two Moment Microphysics for ECHAM‐HAM S. Muench & U. Lohmann https://doi.org/10.1029/2019MS001824
- Developing a climatological simplification of aerosols to enter the cloud microphysics of a global climate model U. Proske et al. https://doi.org/10.5194/acp-24-5907-2024
- The day-to-day co-variability between mineral dust and cloud glaciation: a proxy for heterogeneous freezing D. Villanueva et al. https://doi.org/10.5194/acp-20-2177-2020
- Arctic clouds in ECHAM6 and their sensitivity to cloud microphysics and surface fluxes J. Kretzschmar et al. https://doi.org/10.5194/acp-19-10571-2019
- Mixed-phase regime cloud thinning could help restore sea ice D. Villanueva et al. https://doi.org/10.1088/1748-9326/aca16d
20 citations as recorded by crossref.
- Space‐Based Analysis of the Cloud Thermodynamic Phase Transition for Varying Microphysical and Meteorological Regimes Q. Coopman et al. https://doi.org/10.1029/2020GL087122
- 100 Years of Progress in Cloud Physics, Aerosols, and Aerosol Chemistry Research S. Kreidenweis et al. https://doi.org/10.1175/AMSMONOGRAPHS-D-18-0024.1
- Dust radiative forcing in CMIP6 Earth System models: insights from the AerChemMIP piClim-2xdust experiment O. Haugvaldstad et al. https://doi.org/10.5194/acp-25-13199-2025
- Constraining the Impact of Dust‐Driven Droplet Freezing on Climate Using Cloud‐Top‐Phase Observations D. Villanueva et al. https://doi.org/10.1029/2021GL092687
- Assessing the potential for simplification in global climate model cloud microphysics U. Proske et al. https://doi.org/10.5194/acp-22-4737-2022
- How well are aerosol–cloud interactions represented in climate models? – Part 2: Isolating the aerosol impact on clouds following the 2014–2015 Holuhraun eruption G. Jordan et al. https://doi.org/10.5194/acp-25-13393-2025
- 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
- A Parameterization of Cirrus Cloud Formation: Revisiting Competing Ice Nucleation B. Kärcher https://doi.org/10.1029/2022JD036907
- Large discrepancies in dominant microphysical processes governing mixed-phase clouds across climate models H. Frostenberg et al. https://doi.org/10.1038/s41612-026-01342-7
- Cold cloud microphysical process rates in a global chemistry–climate model S. Bacer et al. https://doi.org/10.5194/acp-21-1485-2021
- Opinion: Tropical cirrus – from micro-scale processes to climate-scale impacts B. Gasparini et al. https://doi.org/10.5194/acp-23-15413-2023
- Addressing Complexity in Global Aerosol Climate Model Cloud Microphysics U. Proske et al. https://doi.org/10.1029/2022MS003571
- Assessing predicted cirrus ice properties between two deterministic ice formation parameterizations C. Tully et al. https://doi.org/10.5194/gmd-16-2957-2023
- Does prognostic seeding along flight tracks produce the desired effects of cirrus cloud thinning? C. Tully et al. https://doi.org/10.5194/acp-23-7673-2023
- Simulating the seeder–feeder impacts on cloud ice and precipitation over the Alps Z. Dedekind et al. https://doi.org/10.5194/acp-24-5389-2024
- Developing a Cloud Scheme With Prognostic Cloud Fraction and Two Moment Microphysics for ECHAM‐HAM S. Muench & U. Lohmann https://doi.org/10.1029/2019MS001824
- Developing a climatological simplification of aerosols to enter the cloud microphysics of a global climate model U. Proske et al. https://doi.org/10.5194/acp-24-5907-2024
- The day-to-day co-variability between mineral dust and cloud glaciation: a proxy for heterogeneous freezing D. Villanueva et al. https://doi.org/10.5194/acp-20-2177-2020
- Arctic clouds in ECHAM6 and their sensitivity to cloud microphysics and surface fluxes J. Kretzschmar et al. https://doi.org/10.5194/acp-19-10571-2019
- Mixed-phase regime cloud thinning could help restore sea ice D. Villanueva et al. https://doi.org/10.1088/1748-9326/aca16d
Saved (final revised paper)
Latest update: 13 Sep 2026
Short summary
Ice crystals in clouds cover a spectrum of shapes and sizes. We show the first results of a consistent representation of the cloud ice spectrum in the climate model ECHAM6-HAM2. The simulated cloud fields are linked to their sources by new diagnostics. We find that only a small fraction of ice clouds is initiated by freezing of cloud droplets in the mixed-phase temperature regime while most ice forms at temperatures colder than −35 °C.
Ice crystals in clouds cover a spectrum of shapes and sizes. We show the first results of a...
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