Evaluating the diurnal cycle in cloud top temperature from SEVIRI

Taylor, Sarah; Stier, Philip; White, Bethan; Finkensieper, Stephan; Stengel, Martin

doi:https://doi.org/10.5194/acp-17-7035-2017

Articles | Volume 17, issue 11

https://doi.org/10.5194/acp-17-7035-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/acp-17-7035-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 17, issue 11

Research article

|

14 Jun 2017

Research article |

| 14 Jun 2017

Evaluating the diurnal cycle in cloud top temperature from SEVIRI

Sarah Taylor, Philip Stier, Bethan White, Stephan Finkensieper, and Martin Stengel

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Final revised paper (published on 14 Jun 2017)
Preprint (discussion started on 31 Oct 2016)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review', Anonymous Referee #1, 14 Dec 2016
- AC1: 'Author response to Referee 1', Sarah Taylor, 27 Feb 2017
RC2: 'Review of ‘Evaluating the diurnal cycle in cloud top temperature from SEVIRI by Taylor et al.', Anonymous Referee #2, 20 Dec 2016
- AC2: 'Author response to Referee 2', Sarah Taylor, 27 Feb 2017
AC3: 'Difference file between original and revised manuscripts', Sarah Taylor, 27 Feb 2017
AC4: 'Revised manuscript', Sarah Taylor, 27 Feb 2017

Peer-review completion

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

AR by Sarah Taylor on behalf of the Authors (14 Mar 2017) Author's response Manuscript

ED: Referee Nomination & Report Request started (16 Mar 2017) by Jui-Yuan Christine Chiu

RR by Anonymous Referee #2 (13 Apr 2017)

ED: Publish subject to technical corrections (18 Apr 2017) by Jui-Yuan Christine Chiu

AR by Sarah Taylor on behalf of the Authors (05 May 2017) Author's response Manuscript

Short summary

Variability of convective cloud spans a wide range of temporal and spatial scales and is important for global weather and climate. This study uses satellite data from SEVIRI to quantify the diurnal cycle of cloud top temperatures over a large area. Results indicate that in some regions the diurnal cycle apparent in the observations may be significantly impacted by diurnal variability in the accuracy of the retrieval. These results may interest both the observation and modelling communities.