Ph.D. student Phillip Si and Assistant Professor Peng Chen developed Latent-EnSF, a technique that improves how ML models assimilate data to make predictions.

A range of national meteorological services across Europe and ECMWF have launched Anemoi, a framework for creating machine learning (ML) weather forecasting systems. Named after the Greek gods of the ...

Google DeepMind released its storm-specific AI model in June. Last month, it got its first big test with Hurricane Erin, which hit Category 5 over open water but largely avoided land-based impacts in ...

The Weather Company is deploying next-generation technologies to improve prediction—and at a very critical time ...

A new machine learning tool can reduce errors in national flood prediction programming, resulting in more accurate ...

Machine Learning-based weather models have the potential to revolutionise global seasonal forecasting, according to new Met ...

Meteorologists and other environmental scientists rely on numerical forecast models to aid in developing a weather outlook. These models, such as the American GFS model and European ECMWF model, use ...

AI models can deliver localized forecasts faster and cheaper than traditional models. The challenge is getting this technology where it’s needed.