Abstract
Our group is developing a number of ideas to improve the accuracy, throughput, and usability of future generations of the ACME model. These include our active project to develop a nonhydrostatic atmospheric model, together with exploratory research in in immersed boundary topography, deep learning architectures for physical paramterization, and an end-to-end graphical user interface for simplifying the ACME workflow.