AI Speeds up Climate Computations

General circulation models typically simulate the global behavior of the atmosphere on grids whose cells have dimensions of around 50 km. But many clouds extend over distances of only a few hundred meters, much smaller than the grid cells typically used in simulations – and they are highly dynamic. Both features make them extremely difficult to model realistically. (Robert Kneschke / fotolia)

Realistic climate simulations require huge reserves of computational power. An LMU study now shows that new algorithms allow interactions in the atmosphere to be modeled more rapidly without loss of reliability.