Articles | Volume 13, issue 8
https://doi.org/10.5194/amt-13-4601-2020
https://doi.org/10.5194/amt-13-4601-2020
Research article
 | 
26 Aug 2020
Research article |  | 26 Aug 2020

High-resolution mapping of urban air quality with heterogeneous observations: a new methodology and its application to Amsterdam

Bas Mijling

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Cited articles

Alphasense: Alphasense Data Sheet for NO2-B43F, April 2016, available at: http://www.alphasense.com/index.php/products/nitrogen-dioxide-2/ (last access: 21 August 2020), 2018. 
CAMS: Copernicus Atmosphere Monitoring System, European-scale air quality analysis from model ensemble, available at: https://atmosphere.copernicus.eu/data (last access: 25 October 2019), 2019. 
CBS: Statistics Netherlands, Statistische gegevens per vierkant 2000–2014, available at: https://www.cbs.nl/nl-nl/dossier/nederland-regionaal/gemeente/ruimtelijke-statistieken (last access: 25 October 2019), 2019. 
Cimorelli, A. J., Perry, S. G., Venkatram, A., Weil, J. C., Paine, R. J., Wilson, R. B., Lee, R. F., Peters, W. D., and Brode, R. W.: AERMOD: A dispersion model for industrial source applications Part I: General model formulation and boundary layer characterization, J. Appl. Meteor., 44, 682–693, 2004. 
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Short summary
Many cities are experimenting with networks of low-cost sensors, complementary to their reference stations. Often the observations are published as dots on a map, as spatial interpolation is far from trivial. A new methodology to assimilate observations of different accuracy in a generic urban-air-quality model is introduced. It can be used for mapping local air quality based on reference measurements only or as a framework to integrate low-cost measurements next to official measurements.
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