the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
General circulation models simulate negative liquid water path–droplet number correlations, but anthropogenic aerosols still increase simulated liquid water path
Abstract. General circulation models' (GCMs) estimates of the liquid water path adjustment to anthropogenic aerosol emissions differ in sign from other lines of evidence. This reduces confidence in estimates of the effective radiative forcing of the climate by aerosol–cloud interactions (ERFaci). The discrepancy is thought to stem in part from GCMs' inability to represent the turbulence–microphysics interactions in cloud-top entrainment, a mechanism that leads to a reduction in liquid water in response to an anthropogenic increase in aerosols. In the real atmosphere, enhanced cloud-top entrainment is thought to be the dominant adjustment mechanism for liquid water path, weakening the overall ERFaci. We show that the latest generation of GCMs includes models that produce a negative correlation between present-day cloud droplet number and liquid water path, a key piece of observational evidence supporting liquid water path reduction by anthropogenic aerosols and one that earlier-generation GCMs could not reproduce. However, even in GCMs with this negative correlation, the increase in anthropogenic aerosols from preindustrial to present-day values still leads to an increase in simulated liquid water path due to the parameterized precipitation-suppression mechanism. This adds to the evidence that correlations in the present-day climate are not necessarily causal. We investigate sources of confounding to explain the noncausal correlation between liquid water path and droplet number. These results are a reminder that assessments of climate parameters based on multiple lines of evidence must carefully consider the complementary strengths of different lines when the lines disagree.
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Notice on discussion status
The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
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Preprint
(1737 KB)
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The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
- Preprint
(1737 KB) - Metadata XML
- BibTeX
- EndNote
- Final revised paper
Journal article(s) based on this preprint
Interactive discussion
Status: closed
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RC1: 'Comment on egusphere-2024-4', Jianhao Zhang, 29 Jan 2024
- AC1: 'Comment on egusphere-2024-4', Johannes Mülmenstädt, 31 Mar 2024
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RC2: 'Comment on egusphere-2024-4', Anna Possner, 13 Feb 2024
- AC1: 'Comment on egusphere-2024-4', Johannes Mülmenstädt, 31 Mar 2024
- AC1: 'Comment on egusphere-2024-4', Johannes Mülmenstädt, 31 Mar 2024
Interactive discussion
Status: closed
-
RC1: 'Comment on egusphere-2024-4', Jianhao Zhang, 29 Jan 2024
- AC1: 'Comment on egusphere-2024-4', Johannes Mülmenstädt, 31 Mar 2024
-
RC2: 'Comment on egusphere-2024-4', Anna Possner, 13 Feb 2024
- AC1: 'Comment on egusphere-2024-4', Johannes Mülmenstädt, 31 Mar 2024
- AC1: 'Comment on egusphere-2024-4', Johannes Mülmenstädt, 31 Mar 2024
Peer review completion
Journal article(s) based on this preprint
Data sets
US CMS model runs for https://doi.org/10.5194/egusphere-2024-4 J. Mülmenstädt et al. https://doi.org/10.5281/zenodo.10449670
Model code and software
jmuelmen/egusphere-2024-4: egusphere-2024-4 initial ACP submission J. Mülmenstädt https://doi.org/10.5281/zenodo.10449750
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Cited
Johannes Mülmenstädt
Edward Gryspeerdt
Sudhakar Dipu
Johannes Quaas
Andrew S. Ackerman
Ann M. Fridlind
Florian Tornow
Susanne E. Bauer
Andrew Gettelman
Yi Ming
Youtong Zheng
Po-Lun Ma
Hailong Wang
Kai Zhang
Matthew W. Christensen
Adam C. Varble
L. Ruby Leung
Xiaohong Liu
David Neubauer
Daniel G. Partridge
Philip Stier
Toshihiko Takemura
The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
- Preprint
(1737 KB) - Metadata XML