The Computational Modelling Systems (CMS) team was essential to the Centre’s climate research, providing technical support for climate model development, data management, and analysis. They introduced GPU-enabled machine learning tools, enhanced the ACCESS climate model, and optimised high-resolution simulations, enabling faster, more accurate climate studies. The CMS team also advanced land-ocean model integration, supported paleo-climate research, and ensured critical datasets were FAIR-compliant, fostering collaboration and accessibility across institutions. Their technical foundation has been vital to the Centre’s research impact, with resources like the CMS Wiki, YouTube tutorials, and GitHub codes enhancing researcher support.
Please note that the following resources relate to tools and data available as at December 2024. It is likely that these will be updated or upgraded by other groups, including ACCESS NRI and the ARC Centre for the Weather of the 21st Century.
Resources for Researchers
The CMS team’s technical contributions established a foundation for innovative, accessible, and collaborative climate research across the Centre and beyond. To further support researchers, they developed a suite of resources focused on coding, software knowledge, and data management.
- CMS Data Collection: Access to critical climate datasets.
- CMS YouTube: Tutorials and training videos.
- Scientific and computational software hosted on GitHub: Code repository with CMS-developed tools.
- CMS Code Collection: A curated library of codes for climate research.
- Australian Climate Data Guide: The Centre played an important role in contributing to the Climate Dataset Guidelines guide and catalogue (below), which covers the FAIR principle’s practical application to climate data.
- Australia Climate Data Guide Catalogue: a one-stop catalogue for discovering climate data in Australia