Articles | Volume 14, issue 7
https://doi.org/10.5194/essd-14-3249-2022
https://doi.org/10.5194/essd-14-3249-2022
Data description paper
 | 
15 Jul 2022
Data description paper |  | 15 Jul 2022

EMO-5: a high-resolution multi-variable gridded meteorological dataset for Europe

Vera Thiemig, Goncalo N. Gomes, Jon O. Skøien, Markus Ziese, Armin Rauthe-Schöch, Elke Rustemeier, Kira Rehfeldt, Jakub P. Walawender, Christine Kolbe, Damien Pichon, Christoph Schweim, and Peter Salamon

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on essd-2021-339', Peter Burek, 17 Dec 2021
    • AC1: 'Reply on CC1', Vera Thiemig, 03 Jan 2022
  • RC1: 'Comment on essd-2021-339', Anonymous Referee #1, 03 Jan 2022
  • RC2: 'Comment on essd-2021-339', Anonymous Referee #2, 07 Jan 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Vera Thiemig on behalf of the Authors (18 Feb 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (26 Feb 2022) by Qingxiang Li
RR by Anonymous Referee #1 (17 Mar 2022)
ED: Reconsider after major revisions (18 Mar 2022) by Qingxiang Li
AR by Vera Thiemig on behalf of the Authors (13 Apr 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (14 Apr 2022) by Qingxiang Li
RR by Anonymous Referee #1 (15 Apr 2022)
ED: Publish subject to minor revisions (review by editor) (05 May 2022) by Qingxiang Li
AR by Vera Thiemig on behalf of the Authors (11 May 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (30 May 2022) by Qingxiang Li
AR by Vera Thiemig on behalf of the Authors (09 Jun 2022)  Manuscript 
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Short summary
EMO-5 is a free and open European high-resolution (5 km), sub-daily, multi-variable (precipitation, temperatures, wind speed, solar radiation, vapour pressure), multi-decadal meteorological dataset based on quality-controlled observations coming from almost 30 000 stations across Europe, and is produced in near real-time. EMO-5 (v1) covers the time period from 1990 to 2019. In this paper, we have provided insight into the source data, the applied methods, and the quality assessment of EMO-5.
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