Articles | Volume 18, issue 5
https://doi.org/10.5194/essd-18-3165-2026
https://doi.org/10.5194/essd-18-3165-2026
Data description article
 | 
12 May 2026
Data description article |  | 12 May 2026

A new dataset of Mesoscale Convective Complexes (MCC) derived from FY-2G satellite data

Ke Xu, Shuyun Zhao, Xinyu Ma, Jianchuan Shu, Wuke Wang, Qimin Deng, and Zaheer Ahmad Babar

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2025-652', Anonymous Referee #1, 07 Feb 2026
    • AC1: 'Reply on RC1', ke xu, 13 Mar 2026
  • 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)
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Short summary
We developed an automated algorithm using cloud-top temperature data from the Fengyun-2G geostationary satellite to create a decade-long dataset of Mesoscale Convective Complexes over China. Results show southwestern China as a primary hotspot and link interannual variability to ENSO-related air–sea interactions. This dataset supports studies of severe convection, weather forecasting, and climate variability.
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