Numerical weather prediction (NWP) systems use large amounts of observational data gathered daily using satellite-based and ground-based instruments to make forecasts, but maintaining them is costly ...

Anytime there is a weather event, you often hear meteorologists talk about the various forecasting models they use to help them make the best possible prediction of what Mother Nature has in store ...

Climate change is making extreme weather events worse, empowering meteorological phenomena such as storms, hurricanes, heat waves, and droughts. Against this backdrop, numerical weather predictions ...

In summary, the researchers point out that evaluation of the wind field of numerical weather prediction models from the perspective of the vector field can provide a scientific basis for ...

Still, the supercomputers needed to run numerical weather prediction are energy intensive as well, and GraphCast could be 1,000 times cheaper in terms of energy consumption. To realize the AI models’ ...

This process of numerical weather prediction was first ... GenCast is a critical advancement in modeling, but like any other weather forecast model, it isn’t perfect. AI models introduce a ...

Professor Julie Lundquist has developed and led research efforts to implement advanced methods for parameterizing turbulence in large- eddy simulations and numerical weather prediction models for ...

the supercomputers needed to run numerical weather prediction are energy intensive as well, and GraphCast could be 1,000 times cheaper in terms of energy consumption. To realize the AI models ...