Useful resources

This place is to create a library of links to external resources that might be useful to the Centre's staff and students.

Data services


NASA Earthdata: this is a portal to NASA datasets. The User Resources tab also have a list of recorded webinars around the use of these datasets.

Tools


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: Storage management and a separate document withlinks for the training

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

NCAR tutorial on python for atmospheric and oceanic scientists

cheat sheets:

Professional development


Data science: Dataquest and its blog.