This place is to create a library of links to external resources that might be useful to the Centre's staff and students.
-  GIOVANNI] - GES-DISC Interactive Online Visualization ANd aNalysis Infrastructure
- TPAC Climate and Ocean data portal
- The Australian Research Data Commons (ARDC, previously known as ANDS)
- Research Data Australia
- CF metadata conventions website
- BoM Climate data services
- Terra Nova - The Australian Climate Change Adaptation Information Hub
MARVL - Marine virtual Laboratory : The Australian Marine Virtual Laboratory (MARVL) is a new development in modelling frameworks for researchers in Australia, co-funded by NeCTAR (www.nectar.org.au). MARVL allows a non-specialist user to configure and run a model, automating many of the modelling preparation steps needed to bring the researcher faster to the stage of simulation and analysis. The tool is seen as enhancing the efficiency of researchers and marine managers, and is being considered as a educational aid in teaching. Most researchers, students and academic staff with have access to MARVL via their AAF(Australian Access Federation) identity, in most cases this is your normal login identity at your local university, institute or federal agency.
MetPy : MetPy is an Open Source project aimed at providing a Pythonic library for meteorological data analysis that meshes well with the rest of the scientific Python ecosystem.
Tutorials and other tips and tricks
help to start: a blog post written by Oliver Angélil, a PhD student at the CCRC. It goes through a few practical tips and tricks to help with what to know when starting working in the field of climate science.
CMS blog: https://climate-cms.org
CMS training: Publishing
CMS training: Shell tips and tricks
CMS training: Debugging 101
CMS training: Debugging - Run time checks
CMS training: Xarray dask training GitHub
CMS training: youtu.be/ya-xXY5uzeo Introduction to 3D visualisation with ParaViewby Martin Jucker (youtube video)
CMS training: Introduction to CleF: Climate Finder a tool to discover ESGF datasets (youtube video)
CMS training: Python: transitioning from 2 to 3
- Tape ARchive - tar
- Access Control Lists - acls
- NCI accounting: data#_report_files, short_report_files, lquota, ncimonitor and mdssdiff