OASIS Software

Research software for planetary climate simulation

OASIS is a modular 3D planetary climate model developed in the Planetary Climate Physics Group at the University of Southampton, UK. The model is designed to support comparative climate studies across Earth, Solar System planets, and exoplanets.

It combines a fully compressible non-hydrostatic dynamical core, planet-specific configuration, modular physics components, and high-performance CPU/GPU workflows in a single research framework.

OASIS planetary climate simulations logo

Model Class

3D planetary climate model

Dynamical Core

Fully compressible, non-hydrostatic

Execution

CPU workflows with optional CUDA acceleration

Software Architecture

A model framework for controlled planetary experiments

OASIS is structured to let researchers move from idealised tests to planet-specific simulations while preserving clear ownership of model constants, runtime choices, physics tuning, and technical execution settings.

Planetary Dynamics

OASIS is built around an icosahedral-grid dynamical core for studying atmospheric circulation across Earth, Solar System planets, and exoplanets without relying on an Earth-only model design.

Fully compressible non-hydrostatic equations

Icosahedral horizontal grid

MPI domain decomposition for large simulations

Coupled Climate Physics

The software is developed as a modular framework where dynamics can be connected with radiation, chemistry, clouds, surfaces, and oceans as research components mature.

Configurable physics and runtime parameter files

Planet-specific JSON definitions

Diagnostics for comparison with observations

Research Computing Workflows

OASIS is designed for reproducible high-performance workflows, from documented example cases to parameter studies and long integrations on CPU or GPU-capable systems.

CMake preset build workflow

CPU builds and CUDA-enabled GPU builds

Scripts, tools, tests, and plotting utilities

Research Goals

Built for comparative climate science

OASIS is being developed to support controlled numerical experiments across a wide range of planetary atmospheres, from idealised tests to observation-driven case studies.

Develop a unified modelling framework for comparative planetary climates.

Connect model diagnostics with current and future observations of planets beyond Earth.

Study circulation, radiation, chemistry, clouds, surfaces, and oceans within one model framework.