Document Type
Research Project
Publication Date
Fall 9-25-2025
Abstract
Literature review below explores how artificial intelligence (AI) is revolutionizing climate adaptation at regional scales worldwide. As the impact of climate worsens and becomes variable, conventional region-scale models will be limited to being unsuitable in providing credible, place-based projections required by affected groups (IPCC, 2023). Emergent AI technology innovation such as physics-based machine learning to artificial data generation systems for low-resourced areas is the answer to potential remedies (Google AI, 2024). It cites two of the best leaders in today's time: Rotterdam's flood alert system from sensor networks (Deltares, 2023), and Los Angeles' city and satellite heat map project (Nature Cities, 2025). Study reminds that whereas the AI technology in fact possesses the capacity to increase the resilience of the climate within the region, its non-use for the common benefit is characterized by its potential to be limited to highly technologically developed regions unless policy purposeful action is undertaken. Climate AI can be inclusive and fair as well, the report concludes by explaining how and by referring to the use of hybrid systems, ethics, and open platforms with indigenous knowledge (UNESCO, 2025).
Recommended Citation
Ismail, Saif, "AI – Driven Climate Modeling For Local Adaptation" (2025). COP30. 2.
https://buescholar.bue.edu.eg/cop30/2