Articles | Volume 18, issue 5
https://doi.org/10.5194/essd-18-3165-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
A new dataset of Mesoscale Convective Complexes (MCC) derived from FY-2G satellite data
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- Final revised paper (published on 12 May 2026)
- Preprint (discussion started on 19 Jan 2026)
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
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RC1: 'Comment on essd-2025-652', Anonymous Referee #1, 07 Feb 2026
- AC1: 'Reply on RC1', ke xu, 13 Mar 2026
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RC2: 'Comment on essd-2025-652', Anonymous Referee #2, 08 Feb 2026
- AC2: 'Reply on RC2', ke xu, 13 Mar 2026
Peer review completion
AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by ke xu on behalf of the Authors (13 Mar 2026)
Author's response
Author's tracked changes
Manuscript
ED: Publish as is (13 Mar 2026) by Graciela Raga
AR by ke xu on behalf of the Authors (19 Mar 2026)
Main comments:
This work developed an automated algorithm for mesoscale convective complex (MCC) identification and tracking, and then composed a long-term dataset of MCC variables over mainland China, based on the FY-2G cloud-top temperature data. MCC is an important type of convective system, often bringing about persistent heavy rain and secondary geologic disasters. Thus, this work has the potential in promoting the monitoring and research on the occurrence of MCC, and helping in disaster alleviation over the region. In general, the algorithm is described clearly, the manuscript is well-organized, and the dataset can be actually downloaded. However, there are some places (see specific comments) that need to be revised before it can be accepted for publication.
Specific comments: