Weather forecasting is not easy. The truth is that predicting future weather conditions over broad, or even narrow, swaths of Earth's surface comes down to complex microphysical processes, and as ...

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

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

Aardvark, a novel machine learning-based weather prediction system, teases a future where supercomputers are optional for forecasting - but don't pull the plug just yet.… Academics affiliated with the ...

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 reauthorization act received unanimous, bipartisan support, but a similar bill passed the House and stalled in the Senate ...

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 ...

TruWeather launches a low-altitude weather forecasting testbed in Dallas-Fort Worth to support drone operations and advanced ...