Weather forecasting is not easy. The truth is that predicting future weather conditions over broad, or even narrow, swaths of Earth's surface comes down to complex microphysical processes, and as ...

Data assimilation lies at the heart of numerical weather prediction, enabling the integration of observational data with dynamic atmospheric models to produce more accurate initial conditions and ...

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

The ICON model can be used for weather forecasting as well as climate predictions and long-term projections. So far, however, the different applications have been developed separately. An initiative ...

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 ...

Agritech startup Fyllo has launched DeepMet 1, an AI-powered weather prediction model designed to provide short-term rainfall ...

A research collaboration between the University of Connecticut and Eversource aims to change the way utilities prepare for outages, using the power of artificial intelligence (AI) to improve weather ...