Articles | Volume 14, issue 5
https://doi.org/10.5194/amt-14-3755-2021
https://doi.org/10.5194/amt-14-3755-2021
Research article
 | 
25 May 2021
Research article |  | 25 May 2021

A simplified method for the detection of convection using high-resolution imagery from GOES-16

Yoonjin Lee, Christian D. Kummerow, and Milija Zupanski

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Yoonjin Lee on behalf of the Authors (24 Aug 2020)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (16 Sep 2020) by Bernhard Mayer
RR by Anonymous Referee #2 (10 Oct 2020)
RR by Anonymous Referee #1 (13 Oct 2020)
ED: Reconsider after major revisions (22 Oct 2020) by Bernhard Mayer
AR by Yoonjin Lee on behalf of the Authors (02 Dec 2020)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (14 Jan 2021) by Bernhard Mayer
RR by Anonymous Referee #2 (17 Feb 2021)
ED: Publish subject to minor revisions (review by editor) (02 Mar 2021) by Bernhard Mayer
AR by Yoonjin Lee on behalf of the Authors (12 Mar 2021)  Author's response   Manuscript 
ED: Publish as is (25 Mar 2021) by Bernhard Mayer
AR by Yoonjin Lee on behalf of the Authors (30 Mar 2021)
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Short summary
This study suggests two methods to detect convection using 1 min data from GOES-16: one method detects early convective clouds using their vertical growth rate and the other method detects mature convective clouds using their lumpy cloud top surfaces. Applying the two methods to 1-month data showed that the accuracy of the combined methods was 85.8 % and showed their potential to be used in regions where radar data are not available.