NOAA hopes to advance its accuracy and speed of weather forecast with the new suite of operational and ensemble AI models ...

Artificial intelligence, particularly deep learning, is poised to revolutionize weather forecasting by transitioning from complex physics-based models to data-driven approaches, enabling faster and ...

A new groundbreaking study uncovers ways to use A.I. to prepare for extreme weather. A.I. could even help predict wildfires. Issues remain about the ethical use of this technology, and trust in the ...

It was only a generation or two ago that weather forecasts were not to be taken too seriously: funny-guy meteorologists on the local news wisecracking about ruined golf plans. That has long stopped ...

Forbes contributors publish independent expert analyses and insights. I am a risk communicator focused on the impact of weather on business. Jul 15, 2025, 08:30am EDT The combination of AI, advanced ...

Researchers in China conceived a new PV forecasting approach that integrates causal convolution, recurrent structures, attention mechanisms, and the Kolmogorov–Arnold Network (KAN). Experimental ...

Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting accuracy of TC tracks has improved substantially in recent decades, ...

Thanks to A.I., companies like WindBorne hope to usher in a golden age of forecasting. But they rely in part on government data — and the agency that provides it is in turmoil. A WindBorne weather ...

Future events such as the weather or satellite trajectories are computed in tiny time steps, so the computation must be both efficient and as accurate as possible at each step lest errors pile up. A ...