Articles | Volume 20, issue 12
Atmos. Chem. Phys., 20, 7125–7138, 2020
https://doi.org/10.5194/acp-20-7125-2020
Atmos. Chem. Phys., 20, 7125–7138, 2020
https://doi.org/10.5194/acp-20-7125-2020

Research article 17 Jun 2020

Research article | 17 Jun 2020

Linking large-scale circulation patterns to low-cloud properties

Timothy W. Juliano and Zachary J. Lebo

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Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Timothy Juliano on behalf of the Authors (17 Mar 2020)  Author's response
ED: Referee Nomination & Report Request started (23 Mar 2020) by Philip Stier
RR by Johannes Mülmenstädt (13 Apr 2020)
ED: Publish subject to minor revisions (review by editor) (29 Apr 2020) by Philip Stier
AR by Timothy Juliano on behalf of the Authors (29 Apr 2020)  Author's response    Manuscript
ED: Publish as is (21 May 2020) by Philip Stier
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Short summary
In this study, we use a machine learning method to examine the relationship between synoptic-scale changes in the North Pacific High structure and maritime cloud properties. Our novel approach suggests that there is a wide range (>30 W m−2, ~20 % of magnitude) of possible shortwave cloud radiative effect that is a clear function of the circulation pattern. We hope that this work will help improve fundamental understanding of the sensitivity of the climate system to various warm-cloud regimes.
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