Copertina

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

Salvato in:
Pubblicato in:Atmospheric Chemistry and Physics vol. 24, no. 3 (2024), p. 1673
Autore principale: Riccio, Angelo
Altri autori: Chianese, Elena
Pubblicazione:
Copernicus GmbH
Soggetti:
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
Accesso online:Citation/Abstract
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