Type 2 dynamic downscaling refers to
regional weather (or climate) simulations in which the
regional model's initial atmospheric conditions are forgotten (i.e., the predictions do not depend on the specific initial conditions), but results still depend on the lateral boundary conditions from a global
numerical weather prediction where initial observed atmospheric conditions are not yet forgotten, or are from a global reanalysis.