Weather forecasting traditionally relies on numerical weather prediction (NWP) systems that integrate global observations, data assimilation (DA), and physics-based models. However, further advances ...

Machine learning weather models trained on observed atmospheric conditions can outperform conventional physics-based models at short- to medium-range (1–14 day) forecast timescales. Here we take the ...

Use of AI is a valuable tool for weather prediction but only when it’s trained with ample data, experts say ...

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 ...

Nvidia Corp. today unveiled Earth-2, its artificial intelligence models and tools for scientists, startups, developers, enterprises and governments worldwide to make weather prediction more accessible ...

Every summer, typhoons threatening the Korean Peninsula draw their energy from the warm waters of the Northwest Pacific Ocean. In recent years, the frequency and intensity of extreme weather ...

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 ...

Weather forecasters were preparing. They knew severe storms would hit Rochester, Minnesota, and the surrounding areas in the late-night hours long after the summer sun set on July 28. "That's kind of ...

In the early 1990s, a University of Michigan graduate student named Jeff Masters started working on an internet weather project to share real-time weather information and satellite imagery, something ...

Jenny has over a decade of experience covering science and technology. In 2014, she started reviewing smart-home devices and kitchen appliances at Digital Trends. She also covered smart-home tech for ...