Weather And Climate Predicted Accurately — Without Using A Supercomputer

A new hybrid global atmospheric model has been developed that combines physics-based approaches with machine learning to improve the accuracy of weather and climate predictions. This model has shown promising results in predicting weather up to 15 days ahead and simulating historical temperature trends over a 40-year period.