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 ...

For weather forecasting, we traditionally use numerical weather prediction models that are based on physics principles and have seen large improvements over the last 20–30 years. We have been running ...

Surface meteorological analyses serve a wide range of research and applications, including forcing inputs for hydrological and ecological models, climate analysis, and resource and emergency ...

China has deepened its collaboration with the international community in meteorological governance during the 14th Five-Year ...

Many localized extreme weather events develop suddenly, intensify rapidly, and remain difficult to predict using conventional ...

The UK’s Met Office has been at the forefront of combining traditional physics models with new AI approaches. Met Office ...

India’s weather is getting a homegrown upgrade—faster, smarter forecasts powered by BFS and AI.” India’s battle with extreme weather is about to get some serious backup. After years of struggling with ...

Meteorologists and other environmental scientists rely on numerical forecast models to aid in developing a weather outlook. These models, such as the American GFS model and European ECMWF model, use ...

Spaghetti models for Tropical Storm Imelda show the storm is likely to move north and curve east back into the Atlantic, with the closer the lines are to each other, the higher the confidence in ...

CONTINUES TO SHAPE THE WORLD AROUND US, AI IS HAVING A REAL IMPACT. METEOROLOGIST DYLAN HUDLER SHARES HOW ARTIFICIAL INTELLIGENCE IS BEING USED IN FORECASTING TO PROVIDE MORE ACCURATE PREDICTIONS, ...