Data assimilation is a mathematical discipline that integrates observed data and numerical models to improve the interpretation and prediction of dynamical systems. It is a crucial component of earth ...

Artificial intelligence is moving from the data center into the daily ritual of checking the forecast, and Google DeepMind is now betting that its latest model can make short‑term weather calls faster ...

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 ...

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 ...

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

Climate change is making extreme weather events worse, empowering meteorological phenomena such as storms, hurricanes, heat ...

Vector winds play a crucial role in triggering and maintaining convective weather, such as squall lines and typhoons, as well as the effective utilization of wind energy resources. The mesoscale model ...

Professor Amir Behzadan joined an “invitation-only” group of experts from academia, government and the private sector to discuss the potential for artificial intelligence (AI) to transform weather ...

The University of Connecticut has partnered with Eversource, the state’s lead energy provider, in a research effort to predict extreme weather events and their effects on energy systems and ...

On Tuesday, the peer-reviewed journal Science published a study that shows how an AI meteorology model from Google DeepMind called GraphCast has significantly outperformed conventional weather ...

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 ...

Data assimilation is an important mathematical discipline in earth sciences, particularly in numerical weather prediction (NWP). However, conventional data assimilation methods require significant ...