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.
Institutions
- King Abdullah University of Science and Technology (SA)
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