Ph.D. student Phillip Si and Assistant Professor Peng Chen developed Latent-EnSF, a technique that improves how ML models assimilate data to make predictions.

The observational track of Typhoon "Danas" (solid line) along with forecasted paths (dashed lines) depicted on the FY-4B satellite visible light imagery at 08:00 BST on July 6, 2025. The dashed lines ...

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 ...

Weather is notoriously unpredictable. Its effects, which are only growing more intense with climate change, can be devastating—physically, financially, and emotionally. Causal Labs wants to change ...

AI matches daily forecasts like never before, but when it comes to heat, cold, and wind records, HRES physics rules.

As climate extremes intensify across Africa, the need for accurate and timely weather prediction has become increasingly ...

As Artificial Intelligence (AI) revolutionises various aspects of our daily lives, accurate local weather prediction is also now on the radar. The National Oceanic and Atmospheric Administration's ...

The Aardvark Weather machine learning algorithm is much faster than traditional systems and can work on a desktop computer. When you purchase through links on our site, we may earn an affiliate ...