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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Bibliografische gegevens
Gepubliceerd in:	Atmospheric Chemistry and Physics vol. 24, no. 3 (2024), p. 1673
Hoofdauteur:	Riccio, Angelo
Andere auteurs:	Chianese, Elena
Gepubliceerd in:	Copernicus GmbH
Onderwerpen:	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
Online toegang:	Citation/Abstract Full Text Full Text - PDF
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