Technical note: Improving the European air quality forecast of the Copernicus Atmosphere Monitoring Service using machine learning techniques
Abstract 10 and PM2.5), ozone (O 3 NO 2 O 3 10.
- 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: Improving the European air quality forecast of the Copernicus Atmosphere Monitoring Service using machine learning techniques ; volume:23 ; number:9 ; year:2023 ; pages:5317-5333 ; extent:17
Atmospheric chemistry and physics ; 23, Heft 9 (2023), 5317-5333 (gesamt 17)
- Urheber
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Bertrand, Jean-Maxime
Meleux, Frédérik
Ung, Anthony
Descombes, Gaël
Colette, Augustin
- DOI
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10.5194/acp-23-5317-2023
- URN
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urn:nbn:de:101:1-2023051804382191251411
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:56 MESZ
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Beteiligte
- Bertrand, Jean-Maxime
- Meleux, Frédérik
- Ung, Anthony
- Descombes, Gaël
- Colette, Augustin
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