SICNet<sub>season</sub> V1.0: a transformer-based deep learning model for seasonal Arctic sea ice prediction by integrating sea ice thickness data
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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SICNetseason 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)
- Urheber
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Ren, Yibin
Li, Xiaofeng
Wang, Yunhe
- DOI
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10.5194/gmd-2024-200
- URN
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urn:nbn:de:101:1-2501130752267.298325177925
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:26 MESZ
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Beteiligte
- Ren, Yibin
- Li, Xiaofeng
- Wang, Yunhe
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