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

Spremljeno u:

Bibliografski detalji
Izdano u:	Atmospheric Chemistry and Physics vol. 24, no. 3 (2024), p. 1673
Glavni autor:	Riccio, Angelo
Daljnji autori:	Chianese, Elena
Izdano:	Copernicus GmbH
Teme:	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 pristup:	Citation/Abstract Full Text Full Text - PDF
Oznake:	Dodaj oznaku Bez oznaka, Budi prvi tko označuje ovaj zapis!

Budi prvi tko komentira!