What is the ACCESS-NRI Intake catalog?
The ACCESS-NRI Intake catalog provides a simple, community-driven approach to finding, loading & sharing ACCESS & ACCESS-related model data on Gadi. The catalog can be used from within your Python environment to discover & load data that meet your research needs without having to know where the data are or how they fit together. It’s also easy to add your data to the catalog so that others can find & use them.
What are we releasing?
ACCESS-NRI is releasing v0.1.0 of the access-nri-intake Python package. This package allows users to find relevant data from the ACCESS-NRI Intake catalog and open them into xarray Datasets for subsequent analysis.
What’s in the ACCESS-NRI Intake catalog?
Approximately 3 PB of ACCESS-related data are accessible through the catalog. These include the NCI-managed CMIP5 and CMIP6 data collections as well as a large number of non-CMIP ACCESS-OM2, ACCESS-CM2 and ACCESS-ESM1.5 model runs. Requests to add additional ACCESS-related data are encouraged and can be made via Github.
How to get started?
The access-nri-intake Python package is installed in the CLEX CMS “analysis3” conda environment and the ACCESS-NRI “access-med” conda environment. Instructions on how to utilise these conda environments on NCI’s ARE can be found in the ACCESS-NRI Intake documentation. The documentation also includes a quickstart tutorial demonstrating how to use the catalog from your Python environment.
We welcome feedback and contributions through the ACCESS-Hive forum. You can also open an issue on Github.