Articles | Volume 17, issue 8
https://doi.org/10.5194/essd-17-3721-2025
https://doi.org/10.5194/essd-17-3721-2025
Data description paper
 | 
04 Aug 2025
Data description paper |  | 04 Aug 2025

A derecho climatology (2004–2021) in the United States based on machine learning identification of bow echoes

Jianfeng Li, Andrew Geiss, Zhe Feng, L. Ruby Leung, Yun Qian, and Wenjun Cui

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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-2024-112', Anonymous Referee #1, 26 Aug 2024
  • RC2: 'Comment on essd-2024-112', Anonymous Referee #2, 28 Aug 2024
  • RC3: 'Comment on essd-2024-112', Anonymous Referee #3, 25 Sep 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Jianfeng Li on behalf of the Authors (10 Feb 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (10 Feb 2025) by Graciela Raga
RR by Anonymous Referee #1 (11 Feb 2025)
ED: Reconsider after major revisions (25 Feb 2025) by Graciela Raga
AR by Jianfeng Li on behalf of the Authors (08 Apr 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (08 Apr 2025) by Graciela Raga
RR by Anonymous Referee #1 (09 Apr 2025)
RR by Anonymous Referee #3 (13 May 2025)
ED: Publish as is (15 May 2025) by Graciela Raga
AR by Jianfeng Li on behalf of the Authors (16 May 2025)
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Short summary
We developed a high-resolution (4 km and hourly) observational derecho dataset over the United States east of the Rocky Mountains from 2004 to 2021 by using a mesoscale convective system dataset, bow echoes detected by a machine learning method, hourly gust speeds, and physically based identification criteria.
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