Technical note: Improving the European air quality forecast of 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: Improving the European air quality forecast of Copernicus Atmosphere Monitoring Service using machine learning techniques ; day:18 ; month:11 ; year:2022 ; pages:1-28 ; extent:28
Atmospheric chemistry and physics / Discussions. Discussions ; (18.11.2022), 1-28 (gesamt 28)
- Urheber
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Bertrand, Jean-Maxime
Meleux, Frédérik
Ung, Anthony
Descombes, Gaël
Colette, Augustin
- DOI
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10.5194/acp-2022-767
- URN
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urn:nbn:de:101:1-2022112404341571050605
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:31 MESZ
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Beteiligte
- Bertrand, Jean-Maxime
- Meleux, Frédérik
- Ung, Anthony
- Descombes, Gaël
- Colette, Augustin
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