Together, these advancements have resulted in steady improvement over the years in the overall accuracy of weather predictions. For example, seven-day forecasts are approaching the level of accuracy ...

Machine-learning algorithms use statistics to find patterns in massive* amounts of data. And data, here, encompasses a lot of things—numbers, words, images, clicks, what have you.

AI-based models are indeed more compact. Once trained, typically on 40 years of historical weather data from ECMWF, a machine-learning model like Google’s GraphCast can run on less than 5,500 ...

Some studies have shown that machine learning-based forecast systems can predict general weather patterns as well as numerical weather prediction models while using only a fraction of the ...

Weather forecasting is getting cheaper and more accurate. An AI model named Aurora used machine learning to outperform current weather prediction systems, researchers report May 21 in Nature ...

An excessive rainfall forecast from the Colorado State University-Machine Learning Probabilities system for the extreme rainfall associated with the remnants of Hurricane Ida in the mid-Atlantic ...

The system, dubbed Aardvark Weather, generates forecasts tens of times faster than traditional forecasting systems using a fraction of the computing power, researchers reported Thursday (March 20 ...

“I find it really amazing how far into the future they predict” a system’s chaotic evolution, said Herbert Jaeger, a professor of computational science at Jacobs University in Bremen, Germany.. The ...

With Google’s GraphCast system, though, the model breaks down the traditional data by looking at historical data and then using machine learning to make predictions based on what has happened in ...