SalaciaML-2-Arctic — a deep learning quality control algorithm for Arctic Ocean temperature and salinity data

We have extended a classical quality control (QC) algorithm by integrating a deep learning neural network, resulting in SalaciaML-2-Arctic, a tool for automated QC of Arctic Ocean temperature and salinity profile data. The neural network component was trained on the Unified Database for Arctic and S...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Sebastian Mieruch, Gastón Kreps, Mohamed Chouai, Felix Reimers, Myriel Vredenborg, Benjamin Rabe, Sandra Tippenhauer, Axel Behrendt
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Frontiers Media S.A. 2025-09-01
Σειρά:	Frontiers in Marine Science
Θέματα:	Arctic Ocean temperature salinity quality control machine learning UDASH
Διαθέσιμο Online:	https://www.frontiersin.org/articles/10.3389/fmars.2025.1661208/full
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