AI Climate Model Forecasting Natural Disasters in the Third Pole

The project aims to develop an advanced, AI-driven system for heatwave prediction across different geographies including urban areas, forested regions (e.g., Canada), and high-altitude mountain regions (e.g., Kyrgyzstan). By leveraging state-of-the-art machine learning models, the project will address the increasing frequency and severity of heatwaves and their associated disasters. The outputs will provide actionable early warning systems and insights to prevent associated disasters such as wildfires, floods, landslides, crop failure, and public health crises. The system will provide region-specific insights tailored to diverse geographies, ensuring targeted interventions. This initiative will integrate diverse datasets (e.g., meteorological, geospatial, and vegetation data) into a robust, scalable prediction platform, offering the potential to be fine-tuned in specific disaster datasets to expand into other specific disaster prediction applications.

Related links:

• https://baslangicnoktasi.org/en/ai-for-climate/ 
• https://vectorinstitute.ai/new-global-climate-action-initiative-harnesses-canadas-ai-expertise/