Deriving PM2.5 from satellite observations with spatiotemporally weighted tree-based algorithms: enhancing modeling accuracy and interpretability

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: 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

Creator: Li, Tongwen
Wang, Yuan
Wu, Jingan

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41612-024-00692-4

URN: urn:nbn:de:101:1-2409110931573.558028948724

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:24 AM CEST

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Li, Tongwen
Wang, Yuan
Wu, Jingan
SpringerLink (Online service)

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Deriving PM2.5 from satellite observations with spatiotemporally weighted tree-based algorithms: enhancing modeling accuracy and interpretability

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