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Jingwei-Nutrients: a global spatiotemporal reconstruction of ocean nutrients (1965–2023) using multi-task deep learning

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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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genre Journal Article
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institution FRELIP
journal_source_facet Earth System Science Data (ESSD)
last_indexed 2026-07-21T03:32:29.569Z
publishDate 2026
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spellingShingle Jingwei-Nutrients: a global spatiotemporal reconstruction of ocean nutrients (1965–2023) using multi-task deep learning
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 Jingwei-Nutrients: a global spatiotemporal reconstruction of ocean nutrients (1965–2023) using multi-task deep learning
title_alt Jingwei-Nutrients: una reconstrucción espacio-temporal global de nutrientes oceánicos (1965–2023) mediante aprendizaje profundo multitarea
Jingwei-Nutrients : une reconstruction spatiotemporelle mondiale des nutriments océaniques (1965-2023) utilisant l'apprentissage profond multitâche
Jingwei-Nutrients: uma reconstrução espaço-temporal global de nutrientes oceânicos (1965–2023) usando aprendizado profundo multitarefa
title_auth Jingwei-Nutrients: a global spatiotemporal reconstruction of ocean nutrients (1965–2023) using multi-task deep learning
title_es_txt Jingwei-Nutrients: una reconstrucción espacio-temporal global de nutrientes oceánicos (1965–2023) mediante aprendizaje profundo multitarea
title_fr_txt Jingwei-Nutrients : une reconstruction spatiotemporelle mondiale des nutriments océaniques (1965-2023) utilisant l'apprentissage profond multitâche
title_full Jingwei-Nutrients: a global spatiotemporal reconstruction of ocean nutrients (1965–2023) using multi-task deep learning
title_fullStr Jingwei-Nutrients: a global spatiotemporal reconstruction of ocean nutrients (1965–2023) using multi-task deep learning
title_full_unstemmed Jingwei-Nutrients: a global spatiotemporal reconstruction of ocean nutrients (1965–2023) using multi-task deep learning
title_pt_txt Jingwei-Nutrients: uma reconstrução espaço-temporal global de nutrientes oceânicos (1965–2023) usando aprendizado profundo multitarefa
title_short Jingwei-Nutrients: a global spatiotemporal reconstruction of ocean nutrients (1965–2023) using multi-task deep learning
title_sort jingwei-nutrients: a global spatiotemporal reconstruction of ocean nutrients (1965–2023) using multi-task deep learning
topic Environmental Studies
General
Environmental Studies
url https://doi.org/10.5194/essd-18-5069-2026