Articles | Volume 14, issue 10
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


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 
Short summary
This paper presents crowdsourced data from the 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.
Final-revised paper