In this WP we will research learning algorithms to determine optimal connection coefficients in a general PDE supermodel, that will be applicable to large climate models. We further focus on the importance of local versus global optima in such coefficients and develop algorithms to avoid local optima if necessary.

WP3 is chaired by Ljupčo Kocarev

The report on the deliverable 1 for WP3 can be found here.