A team led by researchers at the University of Tokyo has created a dataset of the whole atmosphere, enabling new research to ...

Users may also benefit from hybrid models, like Google’s NeuralGCM, which combine machine learning with physics, an approach ...

These numerical simulations use a model of ... The past few years have seen an explosion in efforts to produce weather prediction models using machine learning. Typically, these approaches don ...

Huang. 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 ...

This process of numerical weather prediction was first ... because the atmosphere never stops changing. Most AI weather forecasting models like Google’s GenCast take a different approach.

Expertise in boundary-layer, mesoscale, and synoptic meteorology enables society to address critical issues, including the efficient production of renewable energy, the interaction of growing ...

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 ...