Technical Note: Accurate, reliable and high resolution air quality predictions by improving the Copernicus Atmosphere Monitoring Service using machine learning techniques
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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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)
- Urheber
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Riccio, Angelo
Chianese, Elena
- DOI
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10.5194/egusphere-2023-1015
- URN
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urn:nbn:de:101:1-2023082404271557742953
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:45 MESZ
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Beteiligte
- Riccio, Angelo
- Chianese, Elena
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