EnKF-based fusion of site-available machine learning air quality predictions from RFSML v1.0 and gridded chemical transport model forecasts from GEOS-Chem v13.1.0
- 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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EnKF-based fusion of site-available machine learning air quality predictions from RFSML v1.0 and gridded chemical transport model forecasts from GEOS-Chem v13.1.0 ; day:13 ; month:02 ; year:2023 ; pages:1-23 ; extent:23
Geoscientific model development discussions ; (13.02.2023), 1-23 (gesamt 23)
- Urheber
- DOI
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10.5194/gmd-2022-301
- URN
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urn:nbn:de:101:1-2023033007094453665466
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:50 MESZ
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Beteiligte
- Fang, Li
- Jin, Jianbing
- Segers, Arjo
- Li, Ke
- Xu, Bufan
- Han, Wei
- Pang, Mijie
- Lin, Hai-Xiang
- Liao, Hong
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