Identifying meteorological influences on marine low-cloud  mesoscale morphology using satellite classifications

Mohrmann, Johannes; Wood, Robert; Yuan, Tianle; Song, Hua; Eastman, Ryan; Oreopoulos, Lazaros

doi:https://doi.org/10.5194/acp-21-9629-2021

Articles | Volume 21, issue 12

https://doi.org/10.5194/acp-21-9629-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-21-9629-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 21, issue 12

Research article

|

28 Jun 2021

Research article |

| 28 Jun 2021

Identifying meteorological influences on marine low-cloud mesoscale morphology using satellite classifications

Johannes Mohrmann, Robert Wood, Tianle Yuan, Hua Song, Ryan Eastman, and Lazaros Oreopoulos

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Final revised paper (published on 28 Jun 2021)
Preprint (discussion started on 03 Nov 2020)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review for "Identifying meteorological influences on marine low cloud mesoscale morphology using deep learning classifications"', Anonymous Referee #1, 27 Dec 2020
- AC1: 'Reply on RC1', Johannes Mohrmann, 11 Mar 2021
RC2: 'Review of the manuscript entitled ' Identifying meteorological influences on marine low cloud mesoscale morphology using deep learning classifications ' by Mohrmann et al. submitted for publication in ACP', Anonymous Referee #2, 06 Jan 2021
- AC2: 'Reply on RC2', Johannes Mohrmann, 11 Mar 2021

Peer-review completion

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

AR by Johannes Mohrmann on behalf of the Authors (09 Apr 2021) Author's response Author's tracked changes Manuscript

ED: Publish subject to technical corrections (29 Apr 2021) by Yafang Cheng

AR by Johannes Mohrmann on behalf of the Authors (07 May 2021) Author's response Manuscript

Short summary

Observations of marine-boundary-layer conditions are composited by cloud type, based on a new classification dataset. It is found that two cloud types, representing regions of clustered and suppressed low-level clouds, occur in very similar large-scale conditions but are distinguished from each other by considering low-level circulation and surface wind fields, validating prior results from modeling.