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Deep Learning-Based 4D Reconstruction of Arctic Ocean Hydrography and derived Geostrophic Currents from Satellite and In Situ Observations

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Published in:Earth System Science Data (ESSD)
Format: Online Article RSS Article
Published: 2026
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container_title Earth System Science Data (ESSD)
description
discipline_display Environmental Studies
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institution FRELIP
journal_source_facet Earth System Science Data (ESSD)
last_indexed 2026-07-22T03:33:15.430Z
publishDate 2026
publishDateSort 2026
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spellingShingle Deep Learning-Based 4D Reconstruction of Arctic Ocean Hydrography and derived Geostrophic Currents from Satellite and In Situ Observations
Environmental Studies
General
Environmental Studies
sub_discipline_display General
sub_discipline_facet General
subject_display Environmental Studies
General
Environmental Studies
subject_facet Environmental Studies
General
Environmental Studies
title Deep Learning-Based 4D Reconstruction of Arctic Ocean Hydrography and derived Geostrophic Currents from Satellite and In Situ Observations
title_alt Reconstrucción 4D basada en aprendizaje profundo de la hidrografía del Océano Ártico y corrientes geostróficas derivadas a partir de observaciones satelitales e in situ
Reconstruction 4D basée sur l'apprentissage profond de l'hydrographie de l'océan Arctique et des courants géostrophiques dérivés à partir d'observations satellitaires et in situ
Reconstrução 4D baseada em aprendizado profundo da hidrografia do Oceano Ártico e correntes geostróficas derivadas de observações de satélite e in situ
title_auth Deep Learning-Based 4D Reconstruction of Arctic Ocean Hydrography and derived Geostrophic Currents from Satellite and In Situ Observations
title_es_txt Reconstrucción 4D basada en aprendizaje profundo de la hidrografía del Océano Ártico y corrientes geostróficas derivadas a partir de observaciones satelitales e in situ
title_fr_txt Reconstruction 4D basée sur l'apprentissage profond de l'hydrographie de l'océan Arctique et des courants géostrophiques dérivés à partir d'observations satellitaires et in situ
title_full Deep Learning-Based 4D Reconstruction of Arctic Ocean Hydrography and derived Geostrophic Currents from Satellite and In Situ Observations
title_fullStr Deep Learning-Based 4D Reconstruction of Arctic Ocean Hydrography and derived Geostrophic Currents from Satellite and In Situ Observations
title_full_unstemmed Deep Learning-Based 4D Reconstruction of Arctic Ocean Hydrography and derived Geostrophic Currents from Satellite and In Situ Observations
title_pt_txt Reconstrução 4D baseada em aprendizado profundo da hidrografia do Oceano Ártico e correntes geostróficas derivadas de observações de satélite e in situ
title_short Deep Learning-Based 4D Reconstruction of Arctic Ocean Hydrography and derived Geostrophic Currents from Satellite and In Situ Observations
title_sort deep learning-based 4d reconstruction of arctic ocean hydrography and derived geostrophic currents from satellite and in situ observations
topic Environmental Studies
General
Environmental Studies
url https://doi.org/10.5194/essd-2026-519