Reconstructing aerosol optical depth using spatiotemporal Long Short-Term Memory convolutional autoencoder

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Reconstructing aerosol optical depth using spatiotemporal Long Short-Term Memory convolutional autoencoder ; volume:10 ; number:1 ; day:30 ; month:11 ; year:2023 ; pages:1-12 ; date:12.2023
Scientific data ; 10, Heft 1 (30.11.2023), 1-12, 12.2023

Creator: Liang, Lu
Daniels, Jacob
Biancardi, Michael
Zhou, Yuye

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41597-023-02696-w

URN: urn:nbn:de:101:1-2024021916383158633607

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

Last update: 14.08.2025, 10:55 AM CEST

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Liang, Lu
Daniels, Jacob
Biancardi, Michael
Zhou, Yuye
SpringerLink (Online service)

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Reconstructing aerosol optical depth using spatiotemporal Long Short-Term Memory convolutional autoencoder

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