Articles | Volume 24, issue 3
Technical note
06 Feb 2024
Technical note |  | 06 Feb 2024

Technical note: Accurate, reliable, and high-resolution air quality predictions by improving the Copernicus Atmosphere Monitoring Service using a novel statistical post-processing method

Angelo Riccio and Elena Chianese

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Subject: Aerosols | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
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Cited articles

Alahmad, B., Khraishah, H., Achilleos, S., and Koutrakis, P.: Epidemiology of Dust Effects: Review and Challenges, Dust and Health: Challenges and Solutions, edited by: Al-Dousari, A. and Zaffar Hashmi, M., Springer, 93–111,, 2023. a
Alfiya, Y., Levi, Y., Dayan, U., Levy, I., Broday, D. M.: On the association between characteristics of the atmospheric boundary layer and air pollution concentrations, Atmos. Res., 231, 104675,, 2020. a
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Bakka, H., Rue, H., Fuglstad, G.-A., Riebler, A., Bolin, D., Illian, J., Krainski, E., Simpson, D., and Lindgren, F.: Spatial modeling with R-INLA: A review, WIRes: Computational Statistics, 10, e1443,, 2018. a, b
Baldasano, J. M., Jiménez-Guerrero, P., Jorba, O., Pérez, C., López, E., Güereca, P., Martín, F., Vivanco, M. G., Palomino, I., Querol, X., Pandolfi, M., Sanz, M. J., and Diéguez, J. J.: Caliope: an operational air quality forecasting system for the Iberian Peninsula, Balearic Islands and Canary Islands – first annual evaluation and ongoing developments, Adv. Sci. Res., 2, 89–98,, 2008 a
Short summary
Starting from the Copernicus Atmosphere Monitoring Service (CAMS), we provided a novel ensemble statistical post-processing approach to improve their air quality predictions. Our approach is able to provide reliable short-term forecasts of pollutant concentrations, which is a key challenge in supporting national authorities in their tasks related to EU Air Quality Directives, such as planning and reporting the state of air quality to the citizens.
Final-revised paper