Articles | Volume 22, issue 11
https://doi.org/10.5194/acp-22-7353-2022
© Author(s) 2022. 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-22-7353-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Jun 2022
Research article |
| 08 Jun 2022
| 08 Jun 2022
Addressing the difficulties in quantifying droplet number response to aerosol from satellite observations
Leipzig Institute for Meteorology, Universität Leipzig, Leipzig, Germany
Johannes Quaas
Leipzig Institute for Meteorology, Universität Leipzig, Leipzig, Germany
Edward Gryspeerdt
Space and Atmospheric Physics Group, Imperial College London, London, UK
Grantham Institute for Climate Change and the Environment, Imperial College London, London, UK
Christoph Böhm
Institute for Geophysics and Meteorology, University of Cologne, Cologne, Germany
Odran Sourdeval
Laboratoire d'Optique Atmosphérique, Université de Lille, CNRS, Lille, France
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Cited
24 citations as recorded by crossref.
- Simultaneous retrieval of aerosol and ocean properties from PACE HARP2 with uncertainty assessment using cascading neural network radiative transfer models M. Gao et al.
- Combined effect of atmospheric turbulence and vertical wind on the aerosol-cloud interaction: Case studies R. Nandan & M. Ratnam
- Uncertainty in aerosol–cloud radiative forcing is driven by clean conditions E. Gryspeerdt et al.
- Regime-based aerosol–cloud interactions from CALIPSO-MODIS and the Energy Exascale Earth System Model version 2 (E3SMv2) over the Eastern North Atlantic X. Zheng et al.
- Capability of liquid cloud microphysical property retrieval from satellite-borne multi-angle hyperspectral polarimetric measurements Z. Yuan et al.
- Treatment of Key Aerosol and Cloud Processes in Earth System Models – Recommendations from the FORCeS Project I. Riipinen et al.
- Cloud condensation nuclei concentrations derived from the CAMS reanalysis K. Block et al.
- Nonlinearity of the cloud response postpones climate penalty of mitigating air pollution in polluted regions H. Jia & J. Quaas
- A cloud-by-cloud approach for studying aerosol–cloud interaction in satellite observations F. Alexandri et al.
- Separating the Twomey effect and the semi-direct effect in absorbing aerosol environments through the cloud-aerosol mixing ratio P. Lin et al.
- Sampling Bias From Satellite Retrieval Failures of Cloud Properties and Its Implications for Aerosol‐Cloud Interactions G. Choudhury & T. Goren
- Frontiers in Satellite‐Based Estimates of Cloud‐Mediated Aerosol Forcing D. Rosenfeld et al.
- Opposite effects of aerosols and meteorological parameters on warm clouds in two contrasting regions over eastern China Y. Liu et al.
- Global quantification of the dispersion effect with POLDER satellite data H. Wang et al.
- Estimation of Cloud Condensation Nuclei (CCN) using a neural network retrieval algorithm—A synthetic study for SPEXone on the NASA PACE mission N. Hannadige et al.
- Optimal choice of proxy for cloud condensation nuclei reduces uncertainty in aerosol-cloud-climate forcing H. Jia et al.
- How meteorological conditions influence aerosol-cloud interactions under different pollution regimes J. Zhao et al.
- Sensitivity of cloud microphysics to aerosol is highly associated with cloud water content: Implications for indirect radiative forcing Y. Wang et al.
- The role of cloud glaciation in modulating aerosol susceptibility: insights from cold-air outbreak stratiform clouds over the Northwest Pacific C. Wu & J. Chen
- Changes in biodiversity impact atmospheric chemistry and climate through plant volatiles and particles A. Sanaei et al.
- A nonlinear cloud response delays the warming effect of aerosol reductions
- High sensitivity of cloud formation to aerosol changes A. Virtanen et al.
- Robust evidence for reversal of the trend in aerosol effective climate forcing J. Quaas et al.
- Observationally constrained analysis of sulfur cycle in the marine atmosphere with NASA ATom measurements and AeroCom model simulations H. Bian et al.
24 citations as recorded by crossref.
- Simultaneous retrieval of aerosol and ocean properties from PACE HARP2 with uncertainty assessment using cascading neural network radiative transfer models M. Gao et al.
- Combined effect of atmospheric turbulence and vertical wind on the aerosol-cloud interaction: Case studies R. Nandan & M. Ratnam
- Uncertainty in aerosol–cloud radiative forcing is driven by clean conditions E. Gryspeerdt et al.
- Regime-based aerosol–cloud interactions from CALIPSO-MODIS and the Energy Exascale Earth System Model version 2 (E3SMv2) over the Eastern North Atlantic X. Zheng et al.
- Capability of liquid cloud microphysical property retrieval from satellite-borne multi-angle hyperspectral polarimetric measurements Z. Yuan et al.
- Treatment of Key Aerosol and Cloud Processes in Earth System Models – Recommendations from the FORCeS Project I. Riipinen et al.
- Cloud condensation nuclei concentrations derived from the CAMS reanalysis K. Block et al.
- Nonlinearity of the cloud response postpones climate penalty of mitigating air pollution in polluted regions H. Jia & J. Quaas
- A cloud-by-cloud approach for studying aerosol–cloud interaction in satellite observations F. Alexandri et al.
- Separating the Twomey effect and the semi-direct effect in absorbing aerosol environments through the cloud-aerosol mixing ratio P. Lin et al.
- Sampling Bias From Satellite Retrieval Failures of Cloud Properties and Its Implications for Aerosol‐Cloud Interactions G. Choudhury & T. Goren
- Frontiers in Satellite‐Based Estimates of Cloud‐Mediated Aerosol Forcing D. Rosenfeld et al.
- Opposite effects of aerosols and meteorological parameters on warm clouds in two contrasting regions over eastern China Y. Liu et al.
- Global quantification of the dispersion effect with POLDER satellite data H. Wang et al.
- Estimation of Cloud Condensation Nuclei (CCN) using a neural network retrieval algorithm—A synthetic study for SPEXone on the NASA PACE mission N. Hannadige et al.
- Optimal choice of proxy for cloud condensation nuclei reduces uncertainty in aerosol-cloud-climate forcing H. Jia et al.
- How meteorological conditions influence aerosol-cloud interactions under different pollution regimes J. Zhao et al.
- Sensitivity of cloud microphysics to aerosol is highly associated with cloud water content: Implications for indirect radiative forcing Y. Wang et al.
- The role of cloud glaciation in modulating aerosol susceptibility: insights from cold-air outbreak stratiform clouds over the Northwest Pacific C. Wu & J. Chen
- Changes in biodiversity impact atmospheric chemistry and climate through plant volatiles and particles A. Sanaei et al.
- A nonlinear cloud response delays the warming effect of aerosol reductions
- High sensitivity of cloud formation to aerosol changes A. Virtanen et al.
- Robust evidence for reversal of the trend in aerosol effective climate forcing J. Quaas et al.
- Observationally constrained analysis of sulfur cycle in the marine atmosphere with NASA ATom measurements and AeroCom model simulations H. Bian et al.
Saved (final revised paper)
Latest update: 30 Apr 2026
Short summary
Aerosol–cloud interaction is the most uncertain component of the anthropogenic forcing of the climate. By combining satellite and reanalysis data, we show that the strength of the Twomey effect (S) increases remarkably with vertical velocity. Both the confounding effect of aerosol–precipitation interaction and the lack of vertical co-location between aerosol and cloud are found to overestimate S, whereas the retrieval biases in aerosol and cloud appear to underestimate S.
Aerosol–cloud interaction is the most uncertain component of the anthropogenic forcing of the...
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