Articles | Volume 24, issue 3
https://doi.org/10.5194/acp-24-1587-2024
© Author(s) 2024. 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-24-1587-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Feb 2024
Research article |
| 05 Feb 2024
| 05 Feb 2024
Cloud properties and their projected changes in CMIP models with low to high climate sensitivity
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Axel Lauer
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
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Cited
18 citations as recorded by crossref.
- Cloud Feedback Uncertainty in the Equatorial Pacific Across CMIP6 Models P. Hill et al. https://doi.org/10.1029/2025GL117183
- Impact attribution of the March 2022 Antarctic heatwave reveals amplification by cloud feedbacks and increased future meltwater S. González-Herrero et al. https://doi.org/10.1038/s43247-026-03485-0
- CMIP7 Data Request: atmosphere priorities and opportunities B. Dingley et al. https://doi.org/10.5194/gmd-19-2945-2026
- Linear and nonlinear responses of annual mean sea surface temperature to orbital forcing X. Kong et al. https://doi.org/10.1016/j.quascirev.2025.109790
- Representing subgrid-scale cloud effects in a radiation parameterization using machine learning: MLe-radiation v1.0 K. Hafner et al. https://doi.org/10.5194/gmd-19-3875-2026
- Anisotropic turbulence in marine cumulus clouds S. Król & S. Malinowski https://doi.org/10.1088/1742-6596/2899/1/012020
- Projected (2015–2100) Nighttime-enhanced Warming and Regional Contrasts in Diurnal Temperature Range Across South America: Sub-regional Assessments from CMIP6 D. de Lima et al. https://doi.org/10.1007/s41748-026-01214-3
- Testing the assumptions in emergent constraints: why does the “emergent constraint on equilibrium climate sensitivity from global temperature variability” work for CMIP5 and not CMIP6? M. Williamson et al. https://doi.org/10.5194/esd-15-829-2024
- Bringing it all together: science priorities for improved understanding of Earth system change and to support international climate policy C. Jones et al. https://doi.org/10.5194/esd-15-1319-2024
- Multi-sensor analysis of low-level cloudiness and its controlling factors over the Indian Ocean H. Kumar & S. Tiwari https://doi.org/10.1016/j.asr.2025.06.024
- Hierarchy of the Models of the Earth Climate System A. Eliseev https://doi.org/10.1007/s11141-025-10391-6
- Climate Change and Thermal Dynamics of the Lake Sevan Basin (Armenia): Observational Insights and Future Projections G. Khachatryan et al. https://doi.org/10.3390/w18030352
- Physics-constrained deep learning bias correction of CMIP6 solar radiation over Africa and its implications for solar power planning in a changing climate P. Adigun et al. https://doi.org/10.1016/j.renene.2025.124658
- Scenario set-up and the new CMIP6-based climate-related forcings provided within the third round of the Inter-Sectoral Model Intercomparison Project (ISIMIP3b, group I and II) K. Frieler et al. https://doi.org/10.5194/gmd-19-4095-2026
- Polar Winter Processes: An Under-Represented Research Focus within the Coupled Earth System X. Yang et al. https://doi.org/10.1007/s00376-026-6256-5
- Earth's future climate and its variability simulated at 9 km global resolution J. Moon et al. https://doi.org/10.5194/esd-16-1103-2025
- Toward less subjective metrics for quantifying the shape and organization of clouds T. DeWitt et al. https://doi.org/10.5194/acp-26-6951-2026
- Enhanced performance of CMIP6 climate models in simulating historical precipitation in the Florida Peninsula H. Wang & T. Asefa https://doi.org/10.1002/joc.8479
18 citations as recorded by crossref.
- Cloud Feedback Uncertainty in the Equatorial Pacific Across CMIP6 Models P. Hill et al. https://doi.org/10.1029/2025GL117183
- Impact attribution of the March 2022 Antarctic heatwave reveals amplification by cloud feedbacks and increased future meltwater S. González-Herrero et al. https://doi.org/10.1038/s43247-026-03485-0
- CMIP7 Data Request: atmosphere priorities and opportunities B. Dingley et al. https://doi.org/10.5194/gmd-19-2945-2026
- Linear and nonlinear responses of annual mean sea surface temperature to orbital forcing X. Kong et al. https://doi.org/10.1016/j.quascirev.2025.109790
- Representing subgrid-scale cloud effects in a radiation parameterization using machine learning: MLe-radiation v1.0 K. Hafner et al. https://doi.org/10.5194/gmd-19-3875-2026
- Anisotropic turbulence in marine cumulus clouds S. Król & S. Malinowski https://doi.org/10.1088/1742-6596/2899/1/012020
- Projected (2015–2100) Nighttime-enhanced Warming and Regional Contrasts in Diurnal Temperature Range Across South America: Sub-regional Assessments from CMIP6 D. de Lima et al. https://doi.org/10.1007/s41748-026-01214-3
- Testing the assumptions in emergent constraints: why does the “emergent constraint on equilibrium climate sensitivity from global temperature variability” work for CMIP5 and not CMIP6? M. Williamson et al. https://doi.org/10.5194/esd-15-829-2024
- Bringing it all together: science priorities for improved understanding of Earth system change and to support international climate policy C. Jones et al. https://doi.org/10.5194/esd-15-1319-2024
- Multi-sensor analysis of low-level cloudiness and its controlling factors over the Indian Ocean H. Kumar & S. Tiwari https://doi.org/10.1016/j.asr.2025.06.024
- Hierarchy of the Models of the Earth Climate System A. Eliseev https://doi.org/10.1007/s11141-025-10391-6
- Climate Change and Thermal Dynamics of the Lake Sevan Basin (Armenia): Observational Insights and Future Projections G. Khachatryan et al. https://doi.org/10.3390/w18030352
- Physics-constrained deep learning bias correction of CMIP6 solar radiation over Africa and its implications for solar power planning in a changing climate P. Adigun et al. https://doi.org/10.1016/j.renene.2025.124658
- Scenario set-up and the new CMIP6-based climate-related forcings provided within the third round of the Inter-Sectoral Model Intercomparison Project (ISIMIP3b, group I and II) K. Frieler et al. https://doi.org/10.5194/gmd-19-4095-2026
- Polar Winter Processes: An Under-Represented Research Focus within the Coupled Earth System X. Yang et al. https://doi.org/10.1007/s00376-026-6256-5
- Earth's future climate and its variability simulated at 9 km global resolution J. Moon et al. https://doi.org/10.5194/esd-16-1103-2025
- Toward less subjective metrics for quantifying the shape and organization of clouds T. DeWitt et al. https://doi.org/10.5194/acp-26-6951-2026
- Enhanced performance of CMIP6 climate models in simulating historical precipitation in the Florida Peninsula H. Wang & T. Asefa https://doi.org/10.1002/joc.8479
Saved (final revised paper)
Latest update: 21 Jul 2026
Short summary
Climate model simulations still show a large range of effective climate sensitivity (ECS) with high uncertainties. An important contribution to ECS is cloud climate feedback. We investigate the representation of cloud physical and radiative properties from Coupled Model Intercomparison Project models grouped by ECS. We compare the simulated cloud properties of today’s climate from three ECS groups and quantify how the projected changes in cloud properties and cloud radiative effects differ.
Climate model simulations still show a large range of effective climate sensitivity (ECS) with...
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