Articles | Volume 14, issue 12
https://doi.org/10.5194/essd-14-5233-2022
https://doi.org/10.5194/essd-14-5233-2022
Data description paper
 | 
30 Nov 2022
Data description paper |  | 30 Nov 2022

Full-coverage 250 m monthly aerosol optical depth dataset (2000–2019) amended with environmental covariates by an ensemble machine learning model over arid and semi-arid areas, NW China

Xiangyue Chen, Hongchao Zuo, Zipeng Zhang, Xiaoyi Cao, Jikai Duan, Chuanmei Zhu, Zhe Zhang, and Jingzhe Wang

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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-2021-426', Anonymous Referee #1, 30 May 2022
    • AC2: 'Comment on essd-2021-426', Xiangyue Chen, 19 Jul 2022
  • RC2: 'Comment on essd-2021-426', Anonymous Referee #2, 06 Jun 2022
    • AC3: 'Comment on essd-2021-426', Xiangyue Chen, 19 Jul 2022
  • AC1: 'Comment on essd-2021-426', Xiangyue Chen, 19 Jul 2022
  • AC2: 'Comment on essd-2021-426', Xiangyue Chen, 19 Jul 2022
  • AC3: 'Comment on essd-2021-426', Xiangyue Chen, 19 Jul 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Xiangyue Chen on behalf of the Authors (19 Jul 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (25 Jul 2022) by David Carlson
RR by Anonymous Referee #2 (11 Aug 2022)
ED: Reconsider after major revisions (25 Aug 2022) by David Carlson
AR by Xiangyue Chen on behalf of the Authors (20 Oct 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to technical corrections (04 Nov 2022) by David Carlson
AR by Xiangyue Chen on behalf of the Authors (12 Nov 2022)  Author's response   Manuscript 
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Short summary
Arid and semi-arid areas are data-scarce aerosol areas. We provide path-breaking, high-resolution, full coverage, and long time series AOD datasets (FEC AOD) to support the atmosphere and related studies in northwestern China. The FEC AOD effectively compensates for the deficiency and constraints of in situ observations and satellite AOD products. Meanwhile, FEC AOD products demonstrate a reliable accuracy and ability to capture long-term change information.
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