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Research
Introduction
The weather affects us all, in ways big and small. It can dictate how we dress in the morning, provide us with green energy, and, in the worst cases, create storms that can devastate communities. In a world of increasingly extreme weather, fast and accurate forecasts have never been more important.
Our state-of-the-art model delivers 10-day weather predictions at unprecedented accuracy in under one minute
The weather forecasting system, GraphCast, is a state-of-the-art AI model that can make medium-range weather forecasts with unprecedented accuracy. GraphCast predicts weather conditions up to 10 days in advance more accurately and much faster than the industry gold-standard weather simulation system – the High Resolution Forecast (HRES), produced by the European Centre for Medium-Range Weather Forecasts (ECMWF).
The challenge of global weather forecasting
Weather prediction is one of the oldest and most challenging scientific endeavors. Medium-range predictions are important to support key decision-making across sectors, from renewable energy to event logistics, but are difficult to do accurately and efficiently.
GraphCast: An AI model for weather prediction
GraphCast is a weather forecasting system based on machine learning and Graph Neural Networks (GNNs), which are a particularly useful architecture for processing spatially structured data.
Better warnings for extreme weather events
Our analyses revealed that GraphCast can also identify severe weather events earlier than traditional forecasting models, despite not having been trained to look for them. This is a prime example of how GraphCast could help with preparedness to save lives and reduce the impact of storms and extreme weather on communities.
The future of AI for weather
GraphCast is now the most accurate 10-day global weather forecasting system in the world, and can predict extreme weather events further into the future than was previously possible.
Conclusion
Pioneering the use of AI in weather forecasting will benefit billions of people in their everyday lives. But our wider research is not just about anticipating weather – it’s about understanding the broader patterns of our climate. By developing new tools and accelerating research, we hope AI can empower the global community to tackle our greatest environmental challenges.
Frequently Asked Questions
Q1: What is GraphCast?
GraphCast is a state-of-the-art AI model that can make medium-range weather forecasts with unprecedented accuracy.
Q2: How does GraphCast work?
GraphCast is a weather forecasting system based on machine learning and Graph Neural Networks (GNNs), which are a particularly useful architecture for processing spatially structured data.
Q3: What are the benefits of GraphCast?
GraphCast can provide better warnings for extreme weather events, predict weather conditions up to 10 days in advance more accurately and much faster than traditional forecasting models, and empower the global community to tackle our greatest environmental challenges.
Q4: How does GraphCast compare to traditional forecasting models?
GraphCast can identify severe weather events earlier than traditional forecasting models, despite not having been trained to look for them, and can predict extreme weather events further into the future than was previously possible.
Q5: What is the future of AI for weather?
The future of AI for weather is to continue developing new tools and accelerating research to empower the global community to tackle our greatest environmental challenges.
