Articles | Volume 23, issue 7
https://doi.org/10.5194/acp-23-4115-2023
© Author(s) 2023. 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-23-4115-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Uncertainty in aerosol–cloud radiative forcing is driven by clean conditions
Edward Gryspeerdt
CORRESPONDING AUTHOR
Grantham Institute – Climate Change and the Environment, Imperial College London, London, SW7 2AZ, UK
Adam C. Povey
National Centre for Earth Observation, Department of Physics, University of Oxford, Oxford, OX1 3PU, UK
Roy G. Grainger
National Centre for Earth Observation, Department of Physics, University of Oxford, Oxford, OX1 3PU, UK
Otto Hasekamp
Netherlands Institute for Space Research (SRON, NWO-I), Niels Bohrweg 4, 2333 CA Leiden, the Netherlands
N. Christina Hsu
Climate and Radiation Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Jane P. Mulcahy
Met Office, Exeter, EX1 3PB, UK
Andrew M. Sayer
Ocean Ecology Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
GESTAR II, University of Maryland Baltimore County, Baltimore, MD 21250, USA
Armin Sorooshian
Department of Chemical and Environmental Engineering, University of Arizona, Tucson, AZ, USA
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Cited
13 citations as recorded by crossref.
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- Frontiers in Satellite‐Based Estimates of Cloud‐Mediated Aerosol Forcing D. Rosenfeld et al. 10.1029/2022RG000799
- Sensitivity of cloud microphysics to aerosol is highly associated with cloud water content: Implications for indirect radiative forcing Y. Wang et al. 10.1016/j.atmosres.2024.107552
- Aerosol Effects on Water Cloud Properties in Different Atmospheric Regimes P. Khatri et al. 10.1029/2023JD039729
- Cloud detection from multi-angular polarimetric satellite measurements using a neural network ensemble approach Z. Yuan et al. 10.5194/amt-17-2595-2024
- Nonlinearity of the cloud response postpones climate penalty of mitigating air pollution in polluted regions H. Jia & J. Quaas 10.1038/s41558-023-01775-5
- A cloud-by-cloud approach for studying aerosol–cloud interaction in satellite observations F. Alexandri et al. 10.5194/amt-17-1739-2024
- Opposite effects of aerosols and meteorological parameters on warm clouds in two contrasting regions over eastern China Y. Liu et al. 10.5194/acp-24-4651-2024
- Vertical variability of aerosol properties and trace gases over a remote marine region: a case study over Bermuda T. Ajayi et al. 10.5194/acp-24-9197-2024
- Biomass-burning smoke's properties and its interactions with marine stratocumulus clouds in WRF-CAM5 and southeastern Atlantic field campaigns C. Howes et al. 10.5194/acp-23-13911-2023
- Bridging gas and aerosol properties between the northeastern US and Bermuda: analysis of eight transit flights C. Soloff et al. 10.5194/acp-24-10385-2024
- Observationally constrained analysis of sulfur cycle in the marine atmosphere with NASA ATom measurements and AeroCom model simulations H. Bian et al. 10.5194/acp-24-1717-2024
- Revealing dominant patterns of aerosol regimes in the lower troposphere and their evolution from preindustrial times to the future in global climate model simulations J. Li et al. 10.5194/acp-24-12727-2024
13 citations as recorded by crossref.
- Abrupt reduction in shipping emission as an inadvertent geoengineering termination shock produces substantial radiative warming T. Yuan et al. 10.1038/s43247-024-01442-3
- Frontiers in Satellite‐Based Estimates of Cloud‐Mediated Aerosol Forcing D. Rosenfeld et al. 10.1029/2022RG000799
- Sensitivity of cloud microphysics to aerosol is highly associated with cloud water content: Implications for indirect radiative forcing Y. Wang et al. 10.1016/j.atmosres.2024.107552
- Aerosol Effects on Water Cloud Properties in Different Atmospheric Regimes P. Khatri et al. 10.1029/2023JD039729
- Cloud detection from multi-angular polarimetric satellite measurements using a neural network ensemble approach Z. Yuan et al. 10.5194/amt-17-2595-2024
- Nonlinearity of the cloud response postpones climate penalty of mitigating air pollution in polluted regions H. Jia & J. Quaas 10.1038/s41558-023-01775-5
- A cloud-by-cloud approach for studying aerosol–cloud interaction in satellite observations F. Alexandri et al. 10.5194/amt-17-1739-2024
- Opposite effects of aerosols and meteorological parameters on warm clouds in two contrasting regions over eastern China Y. Liu et al. 10.5194/acp-24-4651-2024
- Vertical variability of aerosol properties and trace gases over a remote marine region: a case study over Bermuda T. Ajayi et al. 10.5194/acp-24-9197-2024
- Biomass-burning smoke's properties and its interactions with marine stratocumulus clouds in WRF-CAM5 and southeastern Atlantic field campaigns C. Howes et al. 10.5194/acp-23-13911-2023
- Bridging gas and aerosol properties between the northeastern US and Bermuda: analysis of eight transit flights C. Soloff et al. 10.5194/acp-24-10385-2024
- Observationally constrained analysis of sulfur cycle in the marine atmosphere with NASA ATom measurements and AeroCom model simulations H. Bian et al. 10.5194/acp-24-1717-2024
- Revealing dominant patterns of aerosol regimes in the lower troposphere and their evolution from preindustrial times to the future in global climate model simulations J. Li et al. 10.5194/acp-24-12727-2024
Latest update: 13 Dec 2024
Executive editor
Relative absence of something is often more difficult to quantify than its presence. This paper uses satellite observations and global model data to show that it is uncertainties in the quantification of clean-sky conditions that contribute most to current uncertainties in estimates of the sensitivity of cloud properties to varying degrees of aerosol loading. This is a novel result that should prove of broad interest to the aerosol-cloud-climate community for reframing how the problem is approached, by focusing on improved quantification of clean conditions.
Relative absence of something is often more difficult to quantify than its presence. This paper...
Short summary
The impact of aerosols on clouds is one of the largest uncertainties in the human forcing of the climate. Aerosol can increase the concentrations of droplets in clouds, but observational and model studies produce widely varying estimates of this effect. We show that these estimates can be reconciled if only polluted clouds are studied, but this is insufficient to constrain the climate impact of aerosol. The uncertainty in aerosol impact on clouds is currently driven by cases with little aerosol.
The impact of aerosols on clouds is one of the largest uncertainties in the human forcing of the...
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