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

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

doi:https://doi.org/10.5194/essd-14-4681-2022

Articles | Volume 14, issue 10

https://doi.org/10.5194/essd-14-4681-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-14-4681-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

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

Data sets

Replication Data for: Quality control and correction method for air temperature data from a citizen science weather station network in Leuven, Belgium Beele Eva, Reyniers Maarten, Aerts Raf, and Somers Ben https://doi.org/10.48804/SSRN3F

Model code and software

Replication Data for: Quality control and correction method for air temperature data from a citizen science weather station network in Leuven, Belgium Beele Eva, Reyniers Maarten, Aerts Raf, and Somers Ben https://doi.org/10.48804/SSRN3F

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.