Articles | Volume 11, issue 4
https://doi.org/10.5194/gmd-11-1557-2018
© 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/gmd-11-1557-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
18 Apr 2018
Development and technical paper |
| 18 Apr 2018
| 18 Apr 2018
Prognostic parameterization of cloud ice with a single category in the aerosol-climate model ECHAM(v6.3.0)-HAM(v2.3)
Remo Dietlicher
CORRESPONDING AUTHOR
Institute for Atmospheric and Climate Science, ETH Zürich, Universitätstrasse 16, 8092 Zurich, Switzerland
David Neubauer
Institute for Atmospheric and Climate Science, ETH Zürich, Universitätstrasse 16, 8092 Zurich, Switzerland
Ulrike Lohmann
Institute for Atmospheric and Climate Science, ETH Zürich, Universitätstrasse 16, 8092 Zurich, Switzerland
Viewed
Total article views: 3,037 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 14 Aug 2017)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,999 | 961 | 77 | 3,037 | 226 | 116 | 122 |
- HTML: 1,999
- PDF: 961
- XML: 77
- Total: 3,037
- Supplement: 226
- BibTeX: 116
- EndNote: 122
Total article views: 2,402 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 18 Apr 2018)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,641 | 698 | 63 | 2,402 | 226 | 105 | 104 |
- HTML: 1,641
- PDF: 698
- XML: 63
- Total: 2,402
- Supplement: 226
- BibTeX: 105
- EndNote: 104
Total article views: 635 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 14 Aug 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 358 | 263 | 14 | 635 | 11 | 18 |
- HTML: 358
- PDF: 263
- XML: 14
- Total: 635
- BibTeX: 11
- EndNote: 18
Viewed (geographical distribution)
Total article views: 3,037 (including HTML, PDF, and XML)
Thereof 2,845 with geography defined
and 192 with unknown origin.
Total article views: 2,402 (including HTML, PDF, and XML)
Thereof 2,228 with geography defined
and 174 with unknown origin.
Total article views: 635 (including HTML, PDF, and XML)
Thereof 617 with geography defined
and 18 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
19 citations as recorded by crossref.
- Sensitivity of Simulated Deep Convection to a Stochastic Ice Microphysics Framework M. Stanford et al. 10.1029/2019MS001730
- Addressing Complexity in Global Aerosol Climate Model Cloud Microphysics U. Proske et al. 10.1029/2022MS003571
- Prognostic Precipitation in the MIROC6‐SPRINTARS GCM: Description and Evaluation Against Satellite Observations T. Michibata et al. 10.1029/2018MS001596
- Elucidating ice formation pathways in the aerosol–climate model ECHAM6-HAM2 R. Dietlicher et al. 10.5194/acp-19-9061-2019
- Assessing predicted cirrus ice properties between two deterministic ice formation parameterizations C. Tully et al. 10.5194/gmd-16-2957-2023
- 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
- Does prognostic seeding along flight tracks produce the desired effects of cirrus cloud thinning? C. Tully et al. 10.5194/acp-23-7673-2023
- Developing a Cloud Scheme With Prognostic Cloud Fraction and Two Moment Microphysics for ECHAM‐HAM S. Muench & U. Lohmann 10.1029/2019MS001824
- Vertical grid refinement for stratocumulus clouds in the radiation scheme of the global climate model ECHAM6.3-HAM2.3-P3 P. Pelucchi et al. 10.5194/gmd-14-5413-2021
- Combining Triple‐Moment Ice With Prognostic Liquid Fraction in the P3 Microphysics Scheme: Impacts on a Simulated Squall Line M. Cholette et al. 10.1029/2022MS003328
- Arctic clouds in ECHAM6 and their sensitivity to cloud microphysics and surface fluxes J. Kretzschmar et al. 10.5194/acp-19-10571-2019
- Impact of a New Cloud Microphysics Parameterization on the Simulations of Mesoscale Convective Systems in E3SM J. Wang et al. 10.1029/2021MS002628
- Mixed-phase regime cloud thinning could help restore sea ice D. Villanueva et al. 10.1088/1748-9326/aca16d
- Parameterization of the Bulk Liquid Fraction on Mixed-Phase Particles in the Predicted Particle Properties (P3) Scheme: Description and Idealized Simulations M. Cholette et al. 10.1175/JAS-D-18-0278.1
- How well are aerosol–cloud interactions represented in climate models? – Part 1: Understanding the sulfate aerosol production from the 2014–15 Holuhraun eruption G. Jordan et al. 10.5194/acp-24-1939-2024
- Constraining the Impact of Dust‐Driven Droplet Freezing on Climate Using Cloud‐Top‐Phase Observations D. Villanueva et al. 10.1029/2021GL092687
- Assessing the potential for simplification in global climate model cloud microphysics U. Proske et al. 10.5194/acp-22-4737-2022
- Adaptation of the Predicted Particles Properties (P3) Microphysics Scheme for Large-Scale Numerical Weather Prediction C. Jouan et al. 10.1175/WAF-D-20-0111.1
- Simulating the seeder–feeder impacts on cloud ice and precipitation over the Alps Z. Dedekind et al. 10.5194/acp-24-5389-2024
19 citations as recorded by crossref.
- Sensitivity of Simulated Deep Convection to a Stochastic Ice Microphysics Framework M. Stanford et al. 10.1029/2019MS001730
- Addressing Complexity in Global Aerosol Climate Model Cloud Microphysics U. Proske et al. 10.1029/2022MS003571
- Prognostic Precipitation in the MIROC6‐SPRINTARS GCM: Description and Evaluation Against Satellite Observations T. Michibata et al. 10.1029/2018MS001596
- Elucidating ice formation pathways in the aerosol–climate model ECHAM6-HAM2 R. Dietlicher et al. 10.5194/acp-19-9061-2019
- Assessing predicted cirrus ice properties between two deterministic ice formation parameterizations C. Tully et al. 10.5194/gmd-16-2957-2023
- 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
- Does prognostic seeding along flight tracks produce the desired effects of cirrus cloud thinning? C. Tully et al. 10.5194/acp-23-7673-2023
- Developing a Cloud Scheme With Prognostic Cloud Fraction and Two Moment Microphysics for ECHAM‐HAM S. Muench & U. Lohmann 10.1029/2019MS001824
- Vertical grid refinement for stratocumulus clouds in the radiation scheme of the global climate model ECHAM6.3-HAM2.3-P3 P. Pelucchi et al. 10.5194/gmd-14-5413-2021
- Combining Triple‐Moment Ice With Prognostic Liquid Fraction in the P3 Microphysics Scheme: Impacts on a Simulated Squall Line M. Cholette et al. 10.1029/2022MS003328
- Arctic clouds in ECHAM6 and their sensitivity to cloud microphysics and surface fluxes J. Kretzschmar et al. 10.5194/acp-19-10571-2019
- Impact of a New Cloud Microphysics Parameterization on the Simulations of Mesoscale Convective Systems in E3SM J. Wang et al. 10.1029/2021MS002628
- Mixed-phase regime cloud thinning could help restore sea ice D. Villanueva et al. 10.1088/1748-9326/aca16d
- Parameterization of the Bulk Liquid Fraction on Mixed-Phase Particles in the Predicted Particle Properties (P3) Scheme: Description and Idealized Simulations M. Cholette et al. 10.1175/JAS-D-18-0278.1
- How well are aerosol–cloud interactions represented in climate models? – Part 1: Understanding the sulfate aerosol production from the 2014–15 Holuhraun eruption G. Jordan et al. 10.5194/acp-24-1939-2024
- Constraining the Impact of Dust‐Driven Droplet Freezing on Climate Using Cloud‐Top‐Phase Observations D. Villanueva et al. 10.1029/2021GL092687
- Assessing the potential for simplification in global climate model cloud microphysics U. Proske et al. 10.5194/acp-22-4737-2022
- Adaptation of the Predicted Particles Properties (P3) Microphysics Scheme for Large-Scale Numerical Weather Prediction C. Jouan et al. 10.1175/WAF-D-20-0111.1
- Simulating the seeder–feeder impacts on cloud ice and precipitation over the Alps Z. Dedekind et al. 10.5194/acp-24-5389-2024
Latest update: 03 Nov 2024
Short summary
A new cloud scheme was implemented in the aerosol–climate model ECHAM6-HAM2. Unlike traditional schemes, it does not categorize ice particles by in-cloud and precipitation types but uses a single category with prognostic bulk particle properties. The new scheme is not only conceptually simpler but also closer to first principles as it does not rely on weakly constrained conversion rates between predefined categories and resolves falling ice by local sub-time-stepping.
A new cloud scheme was implemented in the aerosol–climate model ECHAM6-HAM2. Unlike traditional...
