With heatwaves among Europe’s deadliest climate hazards, a team of scientists led by CMCC has developed a prediction system capable of providing helpful information 4 to 7 weeks before summer, which gives valuable time to improve preparedness.
With heatwaves among Europe’s deadliest climate hazards, a team of scientists led by CMCC has developed a prediction system capable of providing helpful information 4 to 7 weeks before summer, which gives valuable time to improve preparedness. Trained on data from centuries of climate analysis up to recent years, the machine learning system has demonstrated an increase in forecast efficiency by drastically reducing the computational resources required, making these techniques accessible to a broader number of researchers and institutions.
The study Feature selection for data-driven seasonal forecasts of European heatwaves, published in Nature Communications Earth & Environment, showcases CMCC’s leadership in integrating cutting-edge artificial intelligence with climate science to address one of Europe’s most pressing climate challenges: heatwaves.
It demonstrates how machine learning (ML) and artificial intelligence (AI) techniques are revolutionizing climate science by enabling more accurate, cost-effective predictions than traditional approaches. Furthermore, where conventional dynamical forecasting systems require massive computational resources and struggle with reliability in northern European regions, this data-driven approach offers an alternative.
“ML will become a fundamental part of how we study climate variability,” says CMCC researcher Ronan McAdam. “This study has demonstrated the usefulness of ML in extreme event prediction, but it is only a first step in defining how we do that to receive interpretable and physically-meaningful results.”
Read More: CMCC Foundation - Euro-Mediterranean Center on Climate Change
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