Learning vertical coordinates via automatic differentiation of a dynamical core

This article describes research on using automatic differentiation, a technique from machine learning, to improve the representation of vertical coordinates in a dynamical core, likely for weather or climate modeling. The focus is on a specific technical application within a scientific domain.