Deriving PM2.5 from satellite observations with spatiotemporally weighted tree-based algorithms: enhancing modeling accuracy and interpretability
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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Deriving PM2.5 from satellite observations with spatiotemporally weighted tree-based algorithms: enhancing modeling accuracy and interpretability ; volume:7 ; number:1 ; day:18 ; month:6 ; year:2024 ; pages:1-9 ; date:12.2024
npj climate and atmospheric science ; 7, Heft 1 (18.6.2024), 1-9, 12.2024
- Urheber
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Li, Tongwen
Wang, Yuan
Wu, Jingan
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s41612-024-00692-4
- URN
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urn:nbn:de:101:1-2409110931573.558028948724
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:24 MESZ
Datenpartner
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Beteiligte
- Li, Tongwen
- Wang, Yuan
- Wu, Jingan
- SpringerLink (Online service)
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