Articles | Volume 14, issue 10
https://doi.org/10.5194/essd-14-4681-2022
https://doi.org/10.5194/essd-14-4681-2022
Data description paper
 | 
21 Oct 2022
Data description paper |  | 21 Oct 2022

Quality control and correction method for air temperature data from a citizen science weather station network in Leuven, Belgium

Eva Beele, Maarten Reyniers, Raf Aerts, and Ben Somers

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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-2022-113', Daniel Fenner, 10 Jun 2022
    • AC1: 'Reply on RC1', Eva Beele, 22 Sep 2022
  • RC2: 'Comment on essd-2022-113', Anonymous Referee #2, 15 Aug 2022
    • AC2: 'Reply on RC2', Eva Beele, 22 Sep 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Eva Beele on behalf of the Authors (23 Sep 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (26 Sep 2022) by David Carlson
AR by Eva Beele on behalf of the Authors (30 Sep 2022)  Author's response   Manuscript 
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Short summary
This paper presents crowdsourced data from the Leuven.cool network, a citizen science network of around 100 low-cost weather stations distributed across Leuven, Belgium. The temperature data have undergone a quality control (QC) and correction procedure. The procedure consists of three levels that remove implausible measurements while also correcting for between-station and station-specific temperature biases.
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