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  Strong cloud–circulation coupling explains weak trade cumulus feedback

Vogel, R., Albright, A. L., Vial, J., George, G., Stevens, B., & Bony, S. (2022). Strong cloud–circulation coupling explains weak trade cumulus feedback. Nature, 612, 696-700. doi:10.1038/s41586-022-05364-y.

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s41586-022-05364-y.pdf (Publisher version), 11MB
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https://doi.org/10.5281/zenodo.7032765 (Supplementary material)
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Research Briefings: Observations refute the idea that warming strongly reduces cloudiness
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 Creators:
Vogel, Raphaela1, Author
Albright, Anna Lea, Author
Vial, Jessica, Author
George, Geet2, Author           
Stevens, Bjorn3, Author                 
Bony, Sandrine, Author
Affiliations:
1Meteorologisches Institut, Universität Hamburg, ou_persistent22              
2Tropical Cloud Observations, The Atmosphere in the Earth System, MPI for Meteorology, Max Planck Society, ou_3001853              
3Director’s Research Group AES, The Atmosphere in the Earth System, MPI for Meteorology, Max Planck Society, ou_913570              

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 Abstract: Shallow cumulus clouds in the trade-wind regions cool the planet by reflecting solar radiation. The response of trade cumulus clouds to climate change is a key uncertainty in climate projections. Trade cumulus feedbacks in climate models are governed by changes in cloud fraction near cloud base with high-climate-sensitivity models suggesting a strong decrease in cloud-base cloudiness owing to increased lower-tropospheric mixing. Here we show that new observations from the EUREC4A (Elucidating the role of cloud-circulation coupling in climate) field campaign refute this mixing-desiccation hypothesis. We find the dynamical increase of cloudiness through mixing to overwhelm the thermodynamic control through humidity. Because mesoscale motions and the entrainment rate contribute equally to variability in mixing but have opposing effects on humidity, mixing does not desiccate clouds. The magnitude, variability and coupling of mixing and cloudiness differ markedly among climate models and with the EUREC4A observations. Models with large trade cumulus feedbacks tend to exaggerate the dependence of cloudiness on relative humidity as opposed to mixing and also exaggerate variability in cloudiness. Our observational analyses render models with large positive feedbacks implausible and both support and explain at the process scale a weak trade cumulus feedback. Our findings thus refute an important line of evidence for a high climate sensitivity

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Language(s): eng - English
 Dates: 2022-052022-102022-11-30
 Publication Status: Published online
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 Rev. Type: Peer
 Identifiers: DOI: 10.1038/s41586-022-05364-y
BibTex Citekey: VogelAlbrightEtAl2022
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Project name : CONSTRAIN
Grant ID : 820829
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)

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Title: Nature
Source Genre: Journal
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Publ. Info: Springer Nature
Pages: - Volume / Issue: 612 Sequence Number: - Start / End Page: 696 - 700 Identifier: ISSN: 0028-0836
CoNE: https://pure.mpg.de/cone/journals/resource/954925427238