Join us on The Before AGI Podcast for a deep dive into the critical role Artificial Intelligence is playing in understanding and predicting climate change. Discover how AI is enhancing climate models, achieving dramatic speed-ups, enabling hyper-local predictions, revolutionizing weather forecasting, and monitoring our planet's health.
In this episode, you'll gain insights into:
💡 AI Model Boosts: Learn how AI finds hidden patterns and improves forecast precision.
⚡ Emulator Speed-Ups: Understand how AI mimics complex calculations, making models hundreds of times faster.
🌍 Localizing Predictions: Explore AI downscaling for high-resolution regional climate insights.
🌦️ Weather Forecasting Revolution: See AI models outperforming traditional methods.
🛰️ Planet Monitoring: Discover AI analyzing satellite data for deforestation, ice melt, and more.
🚧 Key Challenges: Confronting the "black box" problem (Explainable AI), data needs, computational costs, and AI's own environmental footprint.
🤝 The Hybrid Future: Why combining AI with traditional physics-based models holds the most promise.
This episode unpacks how AI is becoming an indispensable tool for climate scientists, offering powerful capabilities while highlighting the important challenges that need addressing.
Follow Before AGI Podcast for more essential explorations of AI's impact on science and society!
TOOLS MENTIONED:
CAM6 (Climate Model component)
GraphCast (AI Weather Model)
NeuralGCM (AI Weather Model)
MetNet (AI Nowcasting Model)
Prithvi (AI Foundation Model)
ClimateSet (Benchmark Dataset)
XGBoost (Machine Learning Technique)
CONTACT INFORMATION:
🌐 Website: ianochiengai.substack.com
📺 YouTube: Ian Ochieng AI
🐦 Twitter: @IanOchiengAI
📸 Instagram: @IanOchiengAI
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