Utilizing AI to Map Deep-Ocean Thermal Currents for Predicting Climate Change Effects on Marine Biodiversity

Artificial intelligence (AI) technologies offer transformative capabilities in mapping deep- ocean thermal currents, crucial for understanding climate change impacts on marine biodiversity. This study explores the integration of AI models with oceanographic data to predict thermal current patterns and their ecological effects. Results demonstrate enhanced accuracy in current mapping and significant insights into biodiversity shifts, supporting global climate monitoring efforts.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-03
DOI
https://doi.org/10.5281/zenodo.14268687
Primary Topic
Marine Invertebrate Physiology and Ecology
Type
article
Field-Weighted Citation Impact
0.00
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article

Utilizing AI to Map Deep-Ocean Thermal Currents for Predicting Climate Change Effects on Marine Biodiversity

Zenodo (CERN European Organization for Nuclear Research)
Marine Invertebrate Physiology and Ecology
article

Utilizing AI to Map Deep-Ocean Thermal Currents for Predicting Climate Change Effects on Marine Biodiversity

article en

Abstract

Artificial intelligence (AI) technologies offer transformative capabilities in mapping deep- ocean thermal currents, crucial for understanding climate change impacts on marine biodiversity. This study explores the integration of AI models with oceanographic data to predict thermal current patterns and their ecological effects. Results demonstrate enhanced accuracy in current mapping and significant insights into biodiversity shifts, supporting global climate monitoring efforts.

Zenodo (CERN European Organization for Nuclear Research)
King Abdullah University of Science and Technology (SA)
Climate action
Openalex Percentile: Top 84%
Marine Invertebrate Physiology and Ecology
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Utilizing AI to Map Deep-Ocean Thermal Currents for Predicting Climate Change Effects on Marine Biodiversity · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS