Atmosphere CookbookΒΆ

Welcome to the Atmosphere Cookbook! This is an Atmosphere Cookbook πŸ“” of Recipes for analysing regional or global atmosphere model output. πŸ‘©πŸ½β€πŸ³ πŸ‘¨πŸ»β€πŸ³

We explain: a β€œrecipe” here is an example of an analysis of some atmosphere model output or some atmosphere-related observational datasets. Each β€œrecipe” is a self-contained and well-documented Jupyter notebook. All the recipes combined form a cookbook πŸ“’!

To access the data used in these recipes you need an account with the Australian-based National Computational Infrastructure (NCI). In particular, you need access to projects hh5 and ua8.

To get started, take a look at the tutorials and then browse through the available recipes to find something relevant to your needs!

Happy cooking! πŸ˜‰ πŸ₯™ 🍱 🍲

CreditsΒΆ

The structure and content of this repository draws inspiration from the Consortium for Ocean-Sea Ice Modelling in Australia (COSIMA)’s Cookbook repository that holds recipes for analysing ocean-sea ice model output.

CitationΒΆ

If you use a recipe from the Cookbook for your research or teaching, or have based your analysis on one of the recipes, we would be grateful if you could cite:

https://zenodo.org/badge/DOI/10.5281/zenodo.14503323.svg