Europe’s AI weather model beats traditional forecasts by 20%

A groundbreaking artificial intelligence-powered weather forecasting model has been launched in Europe, offering a major leap forward in meteorological accuracy. The Artificial Intelligence Forecasting System (AIFS) is the first fully operational AI-based weather prediction model, running alongside traditional methods to enhance global weather forecasts. Developed by the European Centre for Medium-Range Weather Forecasts (ECMWF), this new system has been shown to outperform conventional models by up to 20%, marking a significant step in climate science.  

Faster, more accurate, and energy-efficient

One of AIFS’ biggest advantages is its speed and energy efficiency. The system requires approximately 1,000 times less energy than traditional physics-based forecasting methods while delivering faster predictions. In addition to tracking wind, temperature, and precipitation types, AIFS provides key insights for renewable energy operations, such as solar radiation levels and wind speeds at turbine height. This capability will help optimise renewable energy production and further support Europe’s green transition.  

AI’s role in combating climate change

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Despite concerns about AI’s energy consumption, its applications in weather forecasting, biodiversity monitoring, and energy management could play a crucial role in addressing climate change. By improving predictions and supporting renewable energy integration, AI-driven innovations like AIFS are shaping a more sustainable future.  

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How AI is transforming weather science

Unlike conventional models that rely on physics-based calculations, AIFS uses machine learning to predict weather patterns by analysing vast amounts of historical meteorological data. This allows the system to generate highly accurate forecasts while reducing computational demands. ECMWF’s Director-General Florence Rabier hailed AIFS as a “milestone” in weather science, highlighting its potential to make global forecasts more accessible and reliable.  

This breakthrough in weather forecasting not only improves accuracy but also demonstrates AI’s potential to drive environmental progress worldwide.