Front Matter¶
Parallel programming is an essential part of producing and analysing large scale datasets in the Climate and Weather space.
This website contains collected notes on parallel programming in climate science, by the ARC Centre for Excellence in Climate Extremes’ Computational Modelling Systems Team (CLEX CMS). The primary focus of this work is data analysis using Python on gridded datasets, but we will also somewhat cover how parallel programming is used in climate and weather modelling using Fortran.
We aim for the notebooks here to be executable using Binder (the rocket button in the top left of pages) using publically available data, however especially for large dataset demonstrations we may use files stored at NCI. Those with NCI accounts can start a Jupyter session on VDI or Gadi using the scripts at https://github.com/coecms/nci_scripts.
About Us¶
CLEX CMS is a team providing data and computational support to researchers at the ARC Centre of Excellence for Climate Extremes. We have a wiki at http://climate-cms.wikis.unsw.edu.au with more information
Contributing¶
The source code for this website is stored at https://github.com/coecms-training/parallel. It is produced using Jupyter Book.