Articles | Volume 24, issue 3
https://doi.org/10.5194/acp-24-1673-2024
https://doi.org/10.5194/acp-24-1673-2024
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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Latest update: 17 Apr 2024
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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.
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