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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Опубликовано в::	Atmospheric Chemistry and Physics vol. 24, no. 3 (2024), p. 1673
Главный автор:	Riccio, Angelo
Другие авторы:	Chianese, Elena
Опубликовано:	Copernicus GmbH
Предметы:	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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