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 article
| 
21 Oct 2022
Data description article |
| 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
21 citations as recorded by crossref.
- Automatic quality control of weather data for timely decisions in agriculture S. Dandrifosse et al. https://doi.org/10.1016/j.atech.2024.100445
- A citizen science platform to sample beehive sounds for monitoring ANSP B. Yu et al. https://doi.org/10.1016/j.jenvman.2025.124247
- Cooling efficiency of urban green spaces affected by heat, humidity and solar radiation E. Beele et al. https://doi.org/10.1016/j.jenvman.2026.129922
- Observations from Personal Weather Stations—EUMETNET Interests and Experience C. Hahn et al. https://doi.org/10.3390/cli10120192
- Spatial configuration of green space matters: Associations between urban land cover and air temperature E. Beele et al. https://doi.org/10.1016/j.landurbplan.2024.105121
- Framework for data-driven modelling in an imbalanced data distribution scenario: towards semi-automated data correction for classical and low-cost precipitation sensor data K. Schulz et al. https://doi.org/10.1080/28375807.2025.2577427
- Assimilation of temperature and relative humidity observations from personal weather stations in AROME-France A. Demortier et al. https://doi.org/10.5194/nhess-25-429-2025
- Multisensory Urban Climate Zones (MUCZ): A Framework for Mapping Dynamic Multidomain Human Comfort in Complex Urban Fabrics beyond Urban Morphology C. Grapas et al. https://doi.org/10.1016/j.scs.2025.106673
- Urban fluxes for free: Estimating urban turbulent surface fluxes from crowdsourced meteorological canyon layer observations W. van der Meer et al. https://doi.org/10.1016/j.cacint.2025.100201
- Understanding the Impact of Thermal Performance on Thermal Comfort in Dwellings: A Large‐Sample Study With a Homogeneous User Profile B. Montalbán Pozas et al. https://doi.org/10.1155/ina/5533639
- Analysis of nocturnal urban heat advection using crowd weather stations J. Kittner et al. https://doi.org/10.1002/qj.5065
- Empowering urban climate resilience and adaptation: Crowdsourcing weather citizen stations-enhanced temperature prediction D. Castro Medina et al. https://doi.org/10.1016/j.scs.2024.105208
- Urban tree canopies drive human heat stress mitigation L. Gillerot et al. https://doi.org/10.1016/j.ufug.2023.128192
- Unconventional observations for meteorological applications J. Waller & T. Hara https://doi.org/10.1002/met.70034
- Validation of analog sensor measurements in hydrometeorological participatory monitoring in various tropical countries F. Mitze et al. https://doi.org/10.3389/feart.2026.1721642
- Urban green space, human heat perception and sleep quality: A repeated cross-sectional study E. Beele et al. https://doi.org/10.1016/j.envres.2024.120129
- Comprehensive compilation and quality assessment of street-level urban air temperature measurements across European networks S. Amini et al. https://doi.org/10.1038/s41597-026-06804-4
- “Come as you are”: Reconsidering the need for complex quality control when gridding crowd‐sourced weather data J. de Baar & G. van der Schrier https://doi.org/10.1002/qj.4890
- Government-involved urban meteorological networks (UMNs): A global review C. Wong et al. https://doi.org/10.1016/j.uclim.2025.102409
- Using Gradient Boosting for gap-filling to analyze temperature and humidity patterns in an urban weather station network in Freiburg, Germany M. Plein et al. https://doi.org/10.1016/j.uclim.2025.102496
- Quality assessment and control of urban environmental sensors using physical thresholding and machine learning-based probabilities J. Lee et al. https://doi.org/10.1080/20964471.2026.2623720
21 citations as recorded by crossref.
- Automatic quality control of weather data for timely decisions in agriculture S. Dandrifosse et al. https://doi.org/10.1016/j.atech.2024.100445
- A citizen science platform to sample beehive sounds for monitoring ANSP B. Yu et al. https://doi.org/10.1016/j.jenvman.2025.124247
- Cooling efficiency of urban green spaces affected by heat, humidity and solar radiation E. Beele et al. https://doi.org/10.1016/j.jenvman.2026.129922
- Observations from Personal Weather Stations—EUMETNET Interests and Experience C. Hahn et al. https://doi.org/10.3390/cli10120192
- Spatial configuration of green space matters: Associations between urban land cover and air temperature E. Beele et al. https://doi.org/10.1016/j.landurbplan.2024.105121
- Framework for data-driven modelling in an imbalanced data distribution scenario: towards semi-automated data correction for classical and low-cost precipitation sensor data K. Schulz et al. https://doi.org/10.1080/28375807.2025.2577427
- Assimilation of temperature and relative humidity observations from personal weather stations in AROME-France A. Demortier et al. https://doi.org/10.5194/nhess-25-429-2025
- Multisensory Urban Climate Zones (MUCZ): A Framework for Mapping Dynamic Multidomain Human Comfort in Complex Urban Fabrics beyond Urban Morphology C. Grapas et al. https://doi.org/10.1016/j.scs.2025.106673
- Urban fluxes for free: Estimating urban turbulent surface fluxes from crowdsourced meteorological canyon layer observations W. van der Meer et al. https://doi.org/10.1016/j.cacint.2025.100201
- Understanding the Impact of Thermal Performance on Thermal Comfort in Dwellings: A Large‐Sample Study With a Homogeneous User Profile B. Montalbán Pozas et al. https://doi.org/10.1155/ina/5533639
- Analysis of nocturnal urban heat advection using crowd weather stations J. Kittner et al. https://doi.org/10.1002/qj.5065
- Empowering urban climate resilience and adaptation: Crowdsourcing weather citizen stations-enhanced temperature prediction D. Castro Medina et al. https://doi.org/10.1016/j.scs.2024.105208
- Urban tree canopies drive human heat stress mitigation L. Gillerot et al. https://doi.org/10.1016/j.ufug.2023.128192
- Unconventional observations for meteorological applications J. Waller & T. Hara https://doi.org/10.1002/met.70034
- Validation of analog sensor measurements in hydrometeorological participatory monitoring in various tropical countries F. Mitze et al. https://doi.org/10.3389/feart.2026.1721642
- Urban green space, human heat perception and sleep quality: A repeated cross-sectional study E. Beele et al. https://doi.org/10.1016/j.envres.2024.120129
- Comprehensive compilation and quality assessment of street-level urban air temperature measurements across European networks S. Amini et al. https://doi.org/10.1038/s41597-026-06804-4
- “Come as you are”: Reconsidering the need for complex quality control when gridding crowd‐sourced weather data J. de Baar & G. van der Schrier https://doi.org/10.1002/qj.4890
- Government-involved urban meteorological networks (UMNs): A global review C. Wong et al. https://doi.org/10.1016/j.uclim.2025.102409
- Using Gradient Boosting for gap-filling to analyze temperature and humidity patterns in an urban weather station network in Freiburg, Germany M. Plein et al. https://doi.org/10.1016/j.uclim.2025.102496
- Quality assessment and control of urban environmental sensors using physical thresholding and machine learning-based probabilities J. Lee et al. https://doi.org/10.1080/20964471.2026.2623720
Saved (final revised paper)
Latest update: 07 Jun 2026
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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