
Hybrid neural-physics models can generate accurate weather and climate forecasts, offering significant computational savings over conventional physics-based general circulation models.


coremsg

A hybrid model that combines a differentiable solver for atmospheric dynamics with machine-learning components is capable of weather forecasts&nbsp;and climate simulations on par with the best machine-learning and physics-based methods.

Neural general circulation models for weather and climate - Nature

hybrid-neural-physics-models-for-accurate-weather-and-climate-forecasting


Hybrid Neural-Physics Models for Accurate Weather and Climate Forecasting
