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AtmoDist: Self-supervised representation learning for atmospheric dynamics.

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Bibliographic Details
Title: AtmoDist: Self-supervised representation learning for atmospheric dynamics.
Authors: Hoffmann, Sebastian1, Lessig, Christian1, christian.lessig@ovgu.de
Source: Environmental Data Science; 2023, Vol. 2, p1-24, 24p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 176459256
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=176459256
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      – Type: doi
        Value: 10.1017/eds.2023.1
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      – Code: eng
        Text: English
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        PageCount: 24
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      – TitleFull: AtmoDist: Self-supervised representation learning for atmospheric dynamics.
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            NameFull: Hoffmann, Sebastian
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            NameFull: Lessig, Christian
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              Text: 2023
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              Y: 2023
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              Value: 2
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