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

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Detalles Bibliográficos
Publicado en:	Atmospheric Chemistry and Physics vol. 24, no. 3 (2024), p. 1673
Autor principal:	Riccio, Angelo
Otros Autores:	Chianese, Elena
Publicado:	Copernicus GmbH
Materias:	Italy Europe Indoor air quality Air quality Calibration Atmosphere Air pollution Atmospheric monitoring Pollution detection Prediction models Geography Air Partial differential equations Interpolation Particulate matter Mathematical models Probability theory Ground stations Pollutants Performance prediction Maps Air quality forecasting Approximation Stochastic processes Probability density functions Ensemble forecasting Outdoor air quality Monitoring Statistical analysis Thresholds Nitrogen dioxide Environmental
Acceso en línea:	Citation/Abstract Full Text Full Text - PDF
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