Increasingly powerful AI models can make short-term weather forecasts with surprising accuracy. But neural networks only predict based on patterns from the past—what happens when the weather does ...

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 ...

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

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 ...

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 ...

The Central Coast will get a taste of spring this week, with temperatures reaching 80 degrees before “a good chance of widespread rain” returns by the weekend. Temperatures could top 80 degrees for ...

Mud and debris as atmospheric rivers dumped rain in Studio City, Calif., in 2024. Forecasting heavy rain requires measurements from satellites, doppler radar, ocean buoys and other instruments, most ...

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 ...

Gray swan events are extreme weather events that cause local devestation, like Hurricane Lee in 2023, shown here. Increasingly powerful AI models can make short-term weather forecasts with surprising ...

You're about to walk your dog, but the sky looks ominous. You pull out your phone, open your favorite weather app, and see that it's about to pour. You wait for the rain to pass. Or maybe you planned ...

Scientists found that neural networks cannot yet forecast 'gray swan' weather events, which might not appear in existing training data but could still happen -- like 200-year floods or massive ...