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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Bibliographische Detailangaben
Veröffentlicht in:	Atmospheric Chemistry and Physics vol. 24, no. 3 (2024), p. 1673
1. Verfasser:	Riccio, Angelo
Weitere Verfasser:	Chianese, Elena
Veröffentlicht:	Copernicus GmbH
Schlagworte:	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
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