On the relationship between cloud water composition and cloud droplet number concentration

MacDonald, Alexander B.; Hossein Mardi, Ali; Dadashazar, Hossein; Azadi Aghdam, Mojtaba; Crosbie, Ewan; Jonsson, Haflidi H.; Flagan, Richard C.; Seinfeld, John H.; Sorooshian, Armin

doi:https://doi.org/10.5194/acp-20-7645-2020

Articles | Volume 20, issue 13

https://doi.org/10.5194/acp-20-7645-2020

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

https://doi.org/10.5194/acp-20-7645-2020

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

Articles | Volume 20, issue 13

Research article

|

02 Jul 2020

Research article |

| 02 Jul 2020

On the relationship between cloud water composition and cloud droplet number concentration

Alexander B. MacDonald, Ali Hossein Mardi, Hossein Dadashazar, Mojtaba Azadi Aghdam, Ewan Crosbie, Haflidi H. Jonsson, Richard C. Flagan, John H. Seinfeld, and Armin Sorooshian

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Final revised paper (published on 02 Jul 2020)
Supplement to the final revised paper
Preprint (discussion started on 19 Mar 2020)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC1: 'Reviewer comments', Anonymous Referee #1, 24 Mar 2020
SC1: 'comments', Harry ten Brink, 16 May 2020
RC2: 'Review of “On the Relationship Between Cloud Water Composition and Cloud Droplet Number Concentration” by MacDonald A.B. et al.', Anonymous Referee #2, 18 May 2020
AC1: 'Final author comments to the three reviewers', Armin Sorooshian, 28 May 2020

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Armin Sorooshian on behalf of the Authors (28 May 2020) Author's response Manuscript

ED: Publish as is (07 Jun 2020) by Lynn M. Russell

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Short summary

Understanding how humans affect Earth's climate requires understanding of how particles in the air affect the number concentration of droplets in a cloud (N_d). We use the air-equivalent mass concentration of different chemical species contained in cloud water to predict Nd. In this study we found that the prediction of N_d is (1) best described by total sulfate; (2) improved when considering up to five species; and (3) dependent on factors like turbulence, smoke presence, and in-cloud height.