SICNet<sub>season</sub> V1.0: a transformer-based deep learning model for seasonal Arctic sea ice prediction by integrating sea ice thickness data

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: SICNet_season V1.0: a transformer-based deep learning model for seasonal Arctic sea ice prediction by integrating sea ice thickness data ; day:04 ; month:12 ; year:2024 ; pages:1-20 ; extent:20
Geoscientific model development discussions ; (04.12.2024), 1-20 (gesamt 20)

Creator: Ren, Yibin
Li, Xiaofeng
Wang, Yunhe

DOI: 10.5194/gmd-2024-200

URN: urn:nbn:de:101:1-2501130752267.298325177925

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

Last update: 15.08.2025, 7:26 AM CEST

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Ren, Yibin
Li, Xiaofeng
Wang, Yunhe

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SICNet<sub>season</sub> V1.0: a transformer-based deep learning model for seasonal Arctic sea ice prediction by integrating sea ice thickness data

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Other Objects (12)

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