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.

The models were built and deployed by NOAA's Environmental Modeling Center in coordination with the National Weather Service. A spokesperson for the service, Erica Grow Cei, ...

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 ...

ECMWF Launches First Operational AI Weather Model ECMWF has been developing the Artificial Intelligence Forecasting System ...

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-assisted weather models were put to the test this past hurricane season, with some experts saying they will become a staple for future hurricane forecasting. At the beginning of the 2025 Atlantic ...

Google DeepMind, a London-based AI research lab, has been in the business of machine learning-based weather forecasting for several years, but back in June announced a new experimental AI model ...

The Aardvark Weather machine learning algorithm is much faster than traditional systems and can work on a desktop computer. When you purchase through links on our site, we may earn an affiliate ...

When supply chain practitioners think about forecasting, they focus on demand forecasting. Demand forecasting is essential, but the number of different forecasts that an effective organization should ...