A Machine Learning-based Planetary Boundary Layer Height Scheme for ICON-A Learned from Vertically Highly Resolved Simulations

In climate models, an accurate representation of the planetary boundary layer height (BLH) is critical, as it is a key input to turbulence parameterizations and directly impacts the vertical transport of momentum, heat, moisture, and tracers. Despite