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

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 ...

AI weather models have correctly predicted a 20-day monsoon stall in India affecting 38 million farmers, demonstrating ...

NVIDIA has unveiled Earth-2, a family of open AI models and tools that aim to make advanced weather and climate forecasting ...

A groundbreaking artificial intelligence model has achieved unprecedented accuracy in tropical cyclone intensity prediction, marking a significant advancement in weather forecasting technology. The ...

Users are taking to the web, drawing attention to inaccuracies provided by the Pixel Weather app found on Google Pixel ...

In a recent blog post titled “Make American Weather Prediction Great Again,” Cliff Mass, a professor of Atmospheric Sciences at the University of Washington, argues the U.S. is lagging behind other ...

Vassili Kitsios is a senior research scientist at CSIRO, a co-chair of the Machine Learning for Climate and Weather Working Group of the Australian Climate Community Earth System Simulator National ...

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