In recent years, Julia has become increasingly popular among researchers in atmospheric and ocean
sciences. The programming language offers potential performance and energy efficiency that can
compete with low-level languages, while also providing a package platform and much of the high-level
functionality that is available in languages like Python. Several Julia research codes have emerged over
the past few years and contributed to advances in modeling and simulating the atmosphere and ocean.
Some examples of these codes include ClimateMachine.jl, Trixi.jl, Oceananigans.jl, and Jexpresso.jl
among others. Some of them have been used to produce novel research and have also influenced the
development of more Julia tools and packages. This session aims to bring together the developers and
users of these codes to discuss common issues, needs, solutions, and future goals.