TED Tech
The TED AI Show: Can AI predict (and control) the weather? w/ Dion Harris and Tapio Schneider
Sep 3, 2024
Dion Harris, head of data center product marketing at NVIDIA, and Tapio Schneider, a climate physicist specializing in climate modeling, explore the transformative potential of AI in climate science. They discuss how AI could revolutionize weather predictions and possibly control weather patterns to combat climate change. The duo delves into the ethics of geoengineering and the importance of localized climate insights for decision-makers. They also highlight the challenges of integrating AI with physical laws for reliable climate forecasts.
36:49
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Quick takeaways
- AI technology is significantly enhancing climate modeling precision and speed, enabling rapid forecasts and multi-scenario simulations to better address climate challenges.
- The creation of Earth-2, a digital replica of Earth, offers unprecedented insights into historical climate data, enabling localized and accurate future predictions.
Deep dives
Creating a Digital Twin of Earth
A groundbreaking project is underway to create a digital replica of Earth, called Earth-2, using vast amounts of data gathered from satellites and sensors. This model allows users to examine historical climate and environmental conditions at specific locations, dating back to 1972 or even further. For instance, one can look at their neighborhood in Austin, Texas, observing past foliage and climate data, such as air quality and weather patterns. This capability enables a granular understanding of how these factors have interacted over time and paves the way for predicting future outcomes with unprecedented accuracy.
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