CMIP6 analysis code for publication: Insights from CMIP6 for Australia's future climate

This repository contains code and some supporting data contributing to the manuscript entitled “Insights from CMIP6 for Australia’s future climate” by Grose et al (in review, 2020), https://www.essoar.org/doi/pdf/10.1002/essoar.10501525.1 in Earth’s Future.

The repository contains scripts and notebooks to analyse data and/or produce figures presented in the above paper. The repository is structured to reflect the sub-sections of the paper, according to the following structure, where code to reproduce figures is indicated:

cmip6-analysis

             └ mean-climate

                       └ Figs 1-5, 9-10

             └ marine-heatwaves

             └ sea-level

                        └ Fig 7

             └ extremes

                         └ climpact

                         └ Fig 11, Supp Fig 1-3, 8

             └ ENSO-IOD-SAM

                         └ Supp Fig 4a, 4b, 5

The provided codes are a mixture of Python (.py and .ipynb), NCL, Matlab, R, and bash, and are contributed by respective authors, to produce the analyses presented in the above paper. The repository also contains the “climpact” code used to produce climate extremes data used in analysis (readme provided).

Where paths are given, they refer to NCI file systems, where raw and regridded CMIP5 and CMIP6 data are stored.

This research was undertaken with the assistance of resources from the National Computational Infrastructure (NCI Australia), an NCRIS enabled capability supported by the Australian Government. We acknowledge the World Climate Research Programme's Working Group on Coupled Modelling, which is responsible for CMIP, and we thank the climate modelling groups for producing and making available their model output. CMIP5 and CMIP6 model outputs were made available with the assistance of resources from the NCI. NOAA High Resolution SST data provided by the NOAA/OAR/ESRL PSD, Boulder, Colorado, USA, from their website at https://www.esrl.noaa.gov/psd/. We thank Martin Dix from CSIRO for calculating ECS indices. We acknowledge the support of Australian Government’s National Environmental Science Programme’s Earth Systems and Climate Change Hub.