Articles | Volume 16, issue 8
https://doi.org/10.5194/gmd-16-2193-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-2193-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
21 Apr 2023
Development and technical paper |
| 21 Apr 2023
| 21 Apr 2023
Data fusion uncertainty-enabled methods to map street-scale hourly NO2 in Barcelona: a case study with CALIOPE-Urban v1.0
Barcelona Supercomputing Center, Barcelona, Spain
Barcelona Supercomputing Center, Barcelona, Spain
Hervé Petetin
Barcelona Supercomputing Center, Barcelona, Spain
Daniel Rodriguez-Rey
Barcelona Supercomputing Center, Barcelona, Spain
Jaime Benavides
Barcelona Supercomputing Center, Barcelona, Spain
Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY 10032, USA
Marc Guevara
Barcelona Supercomputing Center, Barcelona, Spain
Carlos Pérez García-Pando
Barcelona Supercomputing Center, Barcelona, Spain
ICREA, Catalan Institution for Research and Advanced Studies, Barcelona, Spain
Albert Soret
Barcelona Supercomputing Center, Barcelona, Spain
Oriol Jorba
Barcelona Supercomputing Center, Barcelona, Spain
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Cited
13 citations as recorded by crossref.
- Data fusion for low-cost sensors: A systematic literature review G. Oduori et al.
- Empowering communities: Advancements in air quality monitoring and citizen engagement H. Relvas et al.
- Development of land use regression, dispersion, and hybrid models for prediction of outdoor air pollution exposure in Barcelona A. Domínguez et al.
- The effect of recurrent mobility on air pollution exposure and mortality burden in Catalonia A. Navarro-Martínez et al.
- Health impact assessment of urban and transport developments in Barcelona: A case study A. Velásquez et al.
- Data fusion for enhancing urban air quality modeling using large-scale citizen science data A. O'Regan et al.
- High-resolution mapping of urban NO2 concentrations using Retina v2: a case study on data assimilation of surface and satellite observations in Madrid B. Mijling et al.
- Learning neighborhood-scale cross-dependencies among air pollutants, meteorology and land cover using mobile sensing and transformers D. Nissenbaum et al.
- City-scale assessment of pedestrian exposure to air pollution: A case study in Barcelona J. Armengol et al.
- Street- and census-level NO2 data for Barcelona with uncertainty and exceedance probability mapping A. Criado et al.
- Estimating the air quality standard exceedance areas and the spatial representativeness of urban air quality stations applying microscale modelling F. Martín et al.
- Effects of street plants on atmospheric particulate dispersion in urban streets: A review X. Wang et al.
- Advancements in machine learning for spatiotemporal urban on-road traffic-air quality study: A review Z. Du et al.
13 citations as recorded by crossref.
- Data fusion for low-cost sensors: A systematic literature review G. Oduori et al.
- Empowering communities: Advancements in air quality monitoring and citizen engagement H. Relvas et al.
- Development of land use regression, dispersion, and hybrid models for prediction of outdoor air pollution exposure in Barcelona A. Domínguez et al.
- The effect of recurrent mobility on air pollution exposure and mortality burden in Catalonia A. Navarro-Martínez et al.
- Health impact assessment of urban and transport developments in Barcelona: A case study A. Velásquez et al.
- Data fusion for enhancing urban air quality modeling using large-scale citizen science data A. O'Regan et al.
- High-resolution mapping of urban NO2 concentrations using Retina v2: a case study on data assimilation of surface and satellite observations in Madrid B. Mijling et al.
- Learning neighborhood-scale cross-dependencies among air pollutants, meteorology and land cover using mobile sensing and transformers D. Nissenbaum et al.
- City-scale assessment of pedestrian exposure to air pollution: A case study in Barcelona J. Armengol et al.
- Street- and census-level NO2 data for Barcelona with uncertainty and exceedance probability mapping A. Criado et al.
- Estimating the air quality standard exceedance areas and the spatial representativeness of urban air quality stations applying microscale modelling F. Martín et al.
- Effects of street plants on atmospheric particulate dispersion in urban streets: A review X. Wang et al.
- Advancements in machine learning for spatiotemporal urban on-road traffic-air quality study: A review Z. Du et al.
Saved (final revised paper)
Latest update: 11 May 2026
Short summary
This work aims to derive and evaluate a general statistical post-processing tool specifically designed for the street scale that can be applied to any urban air quality system. Our data fusion methodology corrects NO2 fields based on continuous hourly observations and experimental campaigns. This study enables us to obtain exceedance probability maps of air quality standards. In 2019, 13 % of the Barcelona area had a 70 % or higher probability of exceeding the annual legal NO2 limit of 40 µg/m3.
This work aims to derive and evaluate a general statistical post-processing tool specifically...
