The use of multiple models is critical in the forecast creation process but is not without its pitfalls. In 2012, Hurricane Sandy made landfall in New Jersey to devastating effect.

For decades, medium-range weather forecasting—predicting conditions 1 to 5 days ahead—has relied heavily on traditional ...

A novel deep learning–based framework that dramatically improves the accuracy of forecasts, even when data are limited. The ...

Forecasting involves using models fit on historical data to predict future values. Prediction problems that involve a time component require time series forecasting, which provides a data-driven ...

Google DeepMind has introduced GraphCast, a game-changing weather forecasting model that is said to deliver 10-day predictions in less than a minute — "at unprecedented accuracy." ...

Predictive tools At the core of weather forecasting are computer programs, or "models," that blend atmospheric variables such as temperature, humidity, wind and pressure, with fundamental physics.

Scientists are building a 'beyond state-of-the-art' digital model of near-Earth space to improve forecasting of solar storms and their effects on infrastructure.

Assad Oberai, an aerospace and mechanical engineer at the University of Southern California, is building an A.I. forecasting model that measures and predicts the spread of a wildfire—and aims to ...