For most of the modern era, improvements in weather prediction followed a predictable trajectory. Better sensors led to ...

"AI-based models are revolutionizing weather forecasting and have surpassed leading numerical weather prediction systems on ...

ECMWF has been developing the Artificial Intelligence Forecasting System (AIFS) to run side by side with its traditional physics-based Integrated Forecasting System (IFS) to advance numerical weather ...

The integration of wind lidar observations with numerical weather prediction (NWP) represents a significant stride in atmospheric science. Lidar systems, utilising laser backscatter techniques, ...

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

This Collection supports and amplifies research related to SDG13 Climate Action. Artificial Intelligence is transforming the landscape of numerical weather prediction (NWP), offering new pathways to ...

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 ...

HRRR-Cast output showing simulated reflectivity and wind particles over the contiguous-U.S. domain for a line of strong thunderstorms that occurred May 6, 2024. This image was created using GSL’s DESI ...

Crystal ball: In its first hurricane season, Google's Deepmind AI framework not only matched decades of human expertise but surpassed the output of two of the world's most advanced supercomputer ...