Reconstructing ocean subsurface salinity at high resolution using a machine learning approach
- 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
-
Reconstructing ocean subsurface salinity at high resolution using a machine learning approach ; day:19 ; month:07 ; year:2022 ; pages:1-39 ; extent:39
Earth system science data discussions ; (19.07.2022), 1-39 (gesamt 39)
- Urheber
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Tian, Tian
Cheng, Lijing
Wang, Gongjie
Abraham, John
Ren, Shihe
Zhu, Jiang
Song, Junqiang
Leng, Hongze
- DOI
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10.5194/essd-2022-236
- URN
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urn:nbn:de:101:1-2022072105155940660091
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:21 MESZ
Datenpartner
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Beteiligte
- Tian, Tian
- Cheng, Lijing
- Wang, Gongjie
- Abraham, John
- Ren, Shihe
- Zhu, Jiang
- Song, Junqiang
- Leng, Hongze
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