Skip to content

Code used for the analysis and visualisation of climate data during my PhD

License

Notifications You must be signed in to change notification settings

gutierjm/climate-analysis

 
 

Repository files navigation

README

This repository contains the code I use on a daily basis for the analysis and visualisation of climate data. Every time I publish a paper, I share corresponding log files on Figshare (see my profile page here) that show how the code in this repository was used to generate the key results. The rationale for this approach to reproducible research is outlined here.

Table of contents

Directory Contents
data_processing Scripts used to process/analyse climate data
development IPython notebooks and other rough notes used in the initial development phase of a new script or workflow
downloads Scripts and other notes relating to downloading and pre-processing various datasets
modules Commonly used code that is imported/used by various data processing and visualisation scripts
software_installation Notes on software installation
testing Scripts for testing critical parts of the data processing code
visualisation Scripts used to visualise data
workflows Various makefiles that tie together the data processing and visualisation scripts into coherent workflows (in many cases these correspond to results shown in my publications)

Note that the workflows follow the data reference syntax outlined in data_reference_syntax.md.

About

Code used for the analysis and visualisation of climate data during my PhD

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 88.1%
  • Python 8.5%
  • Shell 1.9%
  • Makefile 1.5%