Modelling the relationship between liquid water content and cloud droplet number concentration observed in low clouds in the summer Arctic and its radiative effects

Dionne, Joelle; von Salzen, Knut; Cole, Jason; Mahmood, Rashed; Leaitch, W. Richard; Lesins, Glen; Folkins, Ian; Chang, Rachel Y.-W.

doi:https://doi.org/10.5194/acp-20-29-2020

Articles | Volume 20, issue 1

https://doi.org/10.5194/acp-20-29-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

NETCARE (Network on Aerosols and Climate: Addressing Key Uncertainties...

https://doi.org/10.5194/acp-20-29-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 20, issue 1

Research article

|

02 Jan 2020

Research article |

| 02 Jan 2020

Modelling the relationship between liquid water content and cloud droplet number concentration observed in low clouds in the summer Arctic and its radiative effects

Joelle Dionne, Knut von Salzen, Jason Cole, Rashed Mahmood, W. Richard Leaitch, Glen Lesins, Ian Folkins, and Rachel Y.-W. Chang

Supplement

https://doi.org/10.5194/acp-20-29-2020-supplement

Data sets

NETCARE data W. R. Leaitch, A. Korolev, A. A. Aliabadi, J. Burkart, M. D. Willis, J. P. D. Abbatt, H. Bozem, P. Hoor, F. Köllner, J. Schneider, A. Herber, C. Konrad, and R. Brauner http://crd-data-donnees-rdc.ec.gc.ca/CCCMA/products/NETCARE/

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Short summary

Low clouds persist in the summer Arctic, with important consequences for the radiation budget. We found that the ability of precipitation parameterizations to reproduce observed cloud properties was more variable than their ability to represent radiative effects. Our results show that cloud properties and their parameterizations affect the radiative effects of clouds.