Dec 11, 2023 · Machine learning’s integration into weather forecasting represents a paradigm shift in the accuracy and reliability of predictions. By leveraging vast datasets and advanced...

Dec 4, 2024 · GenCast is an ML weather prediction method, trained on decades of reanalysis data. GenCast generates an ensemble of stochastic 15-day global forecasts, at 12-h steps and 0.25° latitude–longitude...

Apr 14, 2025 · In February, the European Centre for Medium-Range Weather Forecasts (ECMWF) — a world leader in forecasting global weather conditions up to a few weeks out — quietly went live with the planet’s first fully operational weather forecast system powered by artificial intelligence. The new A.I. forecasts are, by leaps and bounds, easier, faster, and cheaper to produce than the non-A.I ...

Nov 14, 2023 · 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. GraphCast makes forecasts at the high resolution of 0.25 degrees longitude/latitude (28km x 28km at the equator).

Mar 20, 2025 · Professor Richard Turner, Lead Researcher for Weather Prediction at the Alan Turing Institute and Professor of Machine Learning in the Department of Engineering at the University of Cambridge, said: “Aardvark reimagines current weather prediction methods offering the potential to make weather forecasts faster, cheaper, more flexible and more ...

Mar 20, 2025 · A new AI weather prediction system, developed by researchers from the University of Cambridge, can deliver accurate forecasts tens of times faster and using thousands of times less computing power than current AI and physics-based forecasting systems. ... simple machine learning model. The new model takes in observations from satellites ...

Mar 17, 2025 · From the Global South to the Arctic, can machine learning-enabled weather prediction better protect communities and economies? Accurate weather prediction plays a vital role in our lives, more so than ever as we adapt to a changing climate.

Machine learning (ML) has become a cornerstone of modern weather forecasting by leveraging its ability to model complex, non-linear relationships in data. Below, we delve deeper into the core ML techniques used in this domain.

2 days ago · In the last few years, there has been a rapid growth of Machine Learning Weather Prediction (MLWP) models designed to fully replace the conventional NWP forecast model (Rasp et al., 2024). This first generation of MLWP models has received a lot of attention and excitement, as these models have been the first to outperform leading NWP forecasts ...

Dec 1, 2024 · This paper reviews interpretability methods for machine learning in weather and climate prediction. It examines post-hoc techniques like SHAP, LIME, Grad-CAM for meteorological models. The review discusses inherently …