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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...

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Principais autores: Sebastian Mieruch, Gastón Kreps, Mohamed Chouai, Felix Reimers, Myriel Vredenborg, Benjamin Rabe, Sandra Tippenhauer, Axel Behrendt
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2025-09-01
coleção:Frontiers in Marine Science
Assuntos:
Arctic Ocean
temperature
salinity
quality control
machine learning
UDASH
Acesso em linha:https://www.frontiersin.org/articles/10.3389/fmars.2025.1661208/full
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