The use of AI models and expanding observational technology are part of the government’s push to fill gaps in forecasting as ...
WRAL meteorologists Elizabeth Gardner and Grant Skinner break down the ingredients of predictive weather models, explaining ...
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 ...
High-quality weather and climate forecasts are vital to saving lives and managing resources. As climate change accelerates and extreme weather events worsen, accurate forecasting is becoming even more ...
The National Oceanic and Atmospheric Administration has introduced a new suite of weather forecasting models that are driven by Artificial Intelligence and are expected to deliver faster and more ...
The problem comes down to how these tools learn. New study reveals unexpected results after using AI tools to predict extreme ...
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 ...
ZenaTech, Inc. has announced updates on its "Clear Sky" project, a research and development initiative using AI drone swarms alongside quantum computing to enhance localized weather forecasting. This ...
AI could replace outdated weather models, but it needs humans and funding. Meteorologist Carrie Suffern pictured with a weather balloon at National Weather Service Headquarters in 2012. Image: ...
AI weather models have correctly predicted a 20-day monsoon stall in India affecting 38 million farmers, demonstrating ...
A research collaboration between the University of Connecticut and Eversource aims to change the way utilities prepare for outages, using the power of artificial intelligence (AI) to improve weather ...
Breakthroughs, discoveries, and DIY tips sent six days a week. Terms of Service and Privacy Policy. Weather forecasts are notoriously unreliable. Most people can ...