Sleet and freezing rain will continue for the Cumberland Plateau and southern Kentucky for most of Sunday morning. A push of ...

Forecasts powered by machine learning are proving to be faster and cheaper to produce than conventional methods — and more ...

the supercomputers needed to run numerical weather prediction are energy intensive as well, and GraphCast could be 1,000 times cheaper in terms of energy consumption. To realize the AI models ...

Our confidence is fairly high that everyone will see enough accumulating snow by early Monday morning to prompt widespread ...

These numerical simulations use a model of ... The past few years have seen an explosion in efforts to produce weather prediction models using machine learning. Typically, these approaches ...

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 ...

The next wintry storm system to move into North Carolina arrives late Friday into early Saturday. As is usually the case, the ...

It and other AI models still have a few key kinks to ... a week or even a season from now. This process of numerical weather prediction was first conceived in the early 1900s and needed to be ...

This process of numerical weather prediction was first conceived in ... GenCast is a critical advancement in modeling, but like any other weather forecast model, it isn’t perfect. AI models introduce ...

This process of numerical weather prediction was first ... GenCast is a critical advancement in modeling, but like any other weather forecast model, it isn’t perfect. AI models introduce a ...

According to their findings, the ECMWF forecast is superior to that of the CMA-MESO model in predicting the spatial distribution and intensity of the vector wind field. Both models overestimate the ...