Despite its impressive capabilities, the researchers behind GraphCast emphasize that it is not intended to replace conventional forecasting techniques, but rather to augment and supplement them. The AI could work in tandem with traditional methods, providing an early look at future developments in weather forecasting. With its speed, usefulness, and affordability, GraphCast is showing promise in the field of weather prediction.
Key takeaways:
- Google's AI division, DeepMind, has released GraphCast, a cutting-edge weather prediction AI that outperforms current systems.
- GraphCast can provide a 10-day weather prediction in less than a minute by using 36.7 million criteria derived from past weather data, outperforming the HRES tool of the European Centre for Medium-Range Weather Predictions on 90% of predictions.
- Despite its impressive performance, researchers stress that GraphCast is not meant to replace conventional forecasting techniques but to augment and supplement them.
- GraphCast has shown promise in accurately predicting severe weather events and could potentially revolutionize atmospheric condition prediction in terms of accuracy, accessibility, and suitability for specific applications.