Technical Note: Accurate, reliable and high resolution air quality predictions by improving the Copernicus Atmosphere Monitoring Service using machine learning techniques

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
Technical Note: Accurate, reliable and high resolution air quality predictions by improving the Copernicus Atmosphere Monitoring Service using machine learning techniques ; day:18 ; month:08 ; year:2023 ; pages:1-27 ; extent:27
EGUsphere ; (18.08.2023), 1-27 (gesamt 27)

Creator
Riccio, Angelo
Chianese, Elena

DOI
10.5194/egusphere-2023-1015
URN
urn:nbn:de:101:1-2023082404271557742953
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
14.08.2025, 10:45 AM CEST

Data provider

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Associated

  • Riccio, Angelo
  • Chianese, Elena

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