This repository contains the details of the code, data processing steps, and software environment associated with the following paper:
Risbey JS, Irving DB, Squire DT, Matear RJ, Monselesan DP, Pook MJ, Ramesh N, Richardson D & Tozer CR (submitted). A large ensemble illustration of how record-shattering heat records can endure. Environmental Research: Climate.
The Makefile defines the rules/code/processing steps used to generate most of the resutls in the paper:
- Figure 1:
make plot-historgram CONFIG=workflow_config.mk - Figure 2:
make plot-return-periods CONFIG=workflow_config.mk - Figure 3:
make plot-hot-day CONFIG=workflow_config.mk(seefind_hottest_model_day.ipynbfor information about the hottest day) - Figure 4:
make plot-z500-rmse CONFIG=workflow_config.mk - Figure 5:
make plot-water-z500 CONFIG=workflow_config.mk - Figure 6:
make plot-sample-size-dist CONFIG=workflow_config.mk - Figure 7:
make plot-by-year CONFIG=workflow_config.mk
The Python scripts called by the Makefile rely on the unseen package:
https://github.com/AusClimateService/unseen
The README file
for the unseen package describes how to install that package and
its dependencies.
Each output image file has the command history embedded in the image metadata.
It can be viewed by installing exiftool (e.g. $ conda install exiftool)
and then running the following at the command line:
$ exiftool path/to/image.pngThe observations were daily maximum temperatures at Seattle Tacoma International Airport from the GHCNv2 station dataset, downloaded from the KNMI climate explorer.