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.
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.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
21 Oct 2022
Data description paper |
| 21 Oct 2022
| 21 Oct 2022
Quality control and correction method for air temperature data from a citizen science weather station network in Leuven, Belgium
Division Forest, Nature and Landscape, University of Leuven (KU
Leuven), Celestijnenlaan 200E-2411, 3001 Leuven, Belgium
Maarten Reyniers
Royal Meteorological Institute of Belgium, Ringlaan 3, 1180
Brussels, Belgium
Raf Aerts
Risk and Health Impact Assessment, Sciensano (Belgian Institute of
Health), Juliette Wytsmanstraat 14,1050 Brussels, Belgium
Division Ecology, Evolution and Biodiversity Conservation, University
of Leuven (KU Leuven), Kasteelpark Arenberg 31-2435, 3001 Leuven, Belgium
Ben Somers
Division Forest, Nature and Landscape, University of Leuven (KU
Leuven), Celestijnenlaan 200E-2411, 3001 Leuven, Belgium
KU Leuven Urban Studies Institute, University of Leuven (KU Leuven),
Parkstraat 45-3609, 3000 Leuven, Belgium
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Cited
15 citations as recorded by crossref.
- Automatic quality control of weather data for timely decisions in agriculture S. Dandrifosse et al. 10.1016/j.atech.2024.100445
- A citizen science platform to sample beehive sounds for monitoring ANSP B. Yu et al. 10.1016/j.jenvman.2025.124247
- Observations from Personal Weather Stations—EUMETNET Interests and Experience C. Hahn et al. 10.3390/cli10120192
- Spatial configuration of green space matters: Associations between urban land cover and air temperature E. Beele et al. 10.1016/j.landurbplan.2024.105121
- Assimilation of temperature and relative humidity observations from personal weather stations in AROME-France A. Demortier et al. 10.5194/nhess-25-429-2025
- Urban fluxes for free: Estimating urban turbulent surface fluxes from crowdsourced meteorological canyon layer observations W. van der Meer et al. 10.1016/j.cacint.2025.100201
- Empowering urban climate resilience and adaptation: Crowdsourcing weather citizen stations-enhanced temperature prediction D. Castro Medina et al. 10.1016/j.scs.2024.105208
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- Unconventional observations for meteorological applications J. Waller & T. Hara 10.1002/met.70034
- Urban green space, human heat perception and sleep quality: A repeated cross-sectional study E. Beele et al. 10.1016/j.envres.2024.120129
- “Come as you are”: Reconsidering the need for complex quality control when gridding crowd‐sourced weather data J. de Baar & G. van der Schrier 10.1002/qj.4890
- Government-involved urban meteorological networks (UMNs): A global review C. Wong et al. 10.1016/j.uclim.2025.102409
- Quality control and correction method for air temperature data from a citizen science weather station network in Leuven, Belgium E. Beele et al. 10.5194/essd-14-4681-2022
- Response Time and Intrinsic Information Quality as Criteria for the Selection of Low-Cost Sensors for Use in Mobile Weather Stations A. Chodorek et al. 10.3390/electronics11152448
- An automatic quality evaluation procedure for third-party daily rainfall observations and its application over Australia M. Li et al. 10.1007/s00477-023-02401-8
12 citations as recorded by crossref.
- Automatic quality control of weather data for timely decisions in agriculture S. Dandrifosse et al. 10.1016/j.atech.2024.100445
- A citizen science platform to sample beehive sounds for monitoring ANSP B. Yu et al. 10.1016/j.jenvman.2025.124247
- Observations from Personal Weather Stations—EUMETNET Interests and Experience C. Hahn et al. 10.3390/cli10120192
- Spatial configuration of green space matters: Associations between urban land cover and air temperature E. Beele et al. 10.1016/j.landurbplan.2024.105121
- Assimilation of temperature and relative humidity observations from personal weather stations in AROME-France A. Demortier et al. 10.5194/nhess-25-429-2025
- Urban fluxes for free: Estimating urban turbulent surface fluxes from crowdsourced meteorological canyon layer observations W. van der Meer et al. 10.1016/j.cacint.2025.100201
- Empowering urban climate resilience and adaptation: Crowdsourcing weather citizen stations-enhanced temperature prediction D. Castro Medina et al. 10.1016/j.scs.2024.105208
- Urban tree canopies drive human heat stress mitigation L. Gillerot et al. 10.1016/j.ufug.2023.128192
- Unconventional observations for meteorological applications J. Waller & T. Hara 10.1002/met.70034
- Urban green space, human heat perception and sleep quality: A repeated cross-sectional study E. Beele et al. 10.1016/j.envres.2024.120129
- “Come as you are”: Reconsidering the need for complex quality control when gridding crowd‐sourced weather data J. de Baar & G. van der Schrier 10.1002/qj.4890
- Government-involved urban meteorological networks (UMNs): A global review C. Wong et al. 10.1016/j.uclim.2025.102409
3 citations as recorded by crossref.
- Quality control and correction method for air temperature data from a citizen science weather station network in Leuven, Belgium E. Beele et al. 10.5194/essd-14-4681-2022
- Response Time and Intrinsic Information Quality as Criteria for the Selection of Low-Cost Sensors for Use in Mobile Weather Stations A. Chodorek et al. 10.3390/electronics11152448
- An automatic quality evaluation procedure for third-party daily rainfall observations and its application over Australia M. Li et al. 10.1007/s00477-023-02401-8
Latest update: 30 May 2025
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.
This paper presents crowdsourced data from the Leuven.cool network, a citizen science network of...
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