AI could replace outdated weather models, but it needs humans and funding.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 matches daily forecasts like never before, but when it comes to heat, cold, and wind records, HRES physics rules.
The National Oceanic and Atmospheric Administration (Noaa) is launching three new AI-driven global weather prediction models designed to significantly advance forecast speed, efficiency and accuracy.
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 ...
Google DeepMind, a London-based AI research lab, has been in the business of machine learning-based weather forecasting for several years, but back in June announced a new experimental AI model ...
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 ...
In today’s markets, change is the only constant. A lot of factors, such as inflation and supply chain disruptions, combine to create a fragile environment where forecasting is no longer just a ...
ATLANTA — As Hurricane Erin churns in the Atlantic, the National Hurricane Center is incorporating a new forecasting tool this season: a machine-learning weather model developed by Google DeepMind.
For farmers, every planting decision carries risks, and many of those risks are increasing with climate change. One of the most consequential is weather, which can damage crop yields and livelihoods.
Weather models based on artificial intelligence (AI) are better than traditional forecasts at tracking tropical storms, new research has found, part of a wave of AI breakthroughs that could improve ...
Breakthroughs, discoveries, and DIY tips sent every weekday. Terms of Service and Privacy Policy. Weather forecasts are notoriously unreliable. Most people can relate ...