ClimaAtmos.jl

ClimaAtmos.jl is a Julia library for building atmospheric circulation models. It supports global configurations, Cartesian geometries (e.g., doubly periodic boxes used for large-eddy simulations), and single-column configurations. It runs on CPUs and GPUs and is designed to work with data assimilation and machine learning tools.

Quickstart

import ClimaAtmos as CA

simulation = CA.AtmosSimulation{Float32}(; t_end = "1days")
CA.solve_atmos!(simulation)

This runs a 1-day global simulation with default settings (cubed-sphere grid, decaying temperature profile, IMEX timestepping).

Capabilities

  • Global simulations on cubed-sphere grids with topography
  • Single-column models for BOMEX, DYCOMS, RICO, and other standard cases
  • GPU acceleration via CUDA
  • ERA5 and GCM-driven initial conditions and forcing
  • EDMF turbulence (prognostic and diagnostic)
  • Microphysics (0-moment, 1-moment, 2-moment)
  • Configurable diagnostics with NetCDF and HDF5 output
  • Restarts and checkpointing for long simulations

Finding your way around

Each section of these docs answers a different need – head for the one that matches what you're doing:

New here? Start with Installation and Your First Simulation, then pick the workflow that suits you in Script vs Config Interface. For column experiments, see Single Column Models.