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 ...

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 ...

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 ...

First, for over 20 years, forecasters have done something called post-processing, where they take numerical weather models that are wrong and use A.I. methods to improve the predictions.

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 ...

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 ...

Rapid Intensification (RI) of tropical cyclones (TCs), defined as an intensity increase of at least 13 m/s within 24 hours, ...

The India Meteorological Department (IMD) has announced a strategic partnership with InMobi’s 1Weather, a leading global ...