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squire_2021_fire_susceptibility

Codes used to perform the analysis and generate the figures in Squire et al. 2021

https://github.com/dougiesquire/squire_2021_fire_susceptibility

Science Score: 57.0%

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    CITATION.cff file
    Found CITATION.cff file
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    Found codemeta.json file
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    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 2 DOI reference(s) in README
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    Low similarity (3.5%) to scientific vocabulary
Last synced: 7 months ago · JSON representation ·

Repository

Codes used to perform the analysis and generate the figures in Squire et al. 2021

Basic Info
  • Host: GitHub
  • Owner: dougiesquire
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: master
  • Homepage:
  • Size: 3.59 MB
Statistics
  • Stars: 2
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 2
Created over 4 years ago · Last pushed over 3 years ago
Metadata Files
Readme License Citation

README.md

Code respository for Squire et al. (2021)†

†Squire, D.T., Richardson, D., Risbey, J.S. et al. Likelihood of unprecedented drought and fire weather during Australia’s 2019 megafires. npj Clim Atmos Sci 4, 64 (2021). https://doi.org/10.1038/s41612-021-00220-8

This repo contains all the code used to perform the analysis and generate the figures in the above paper. The analysis heavily uses the CSIRO CAFE-f6 decadal climate forecast dataset, which is documented here. Notebooks are numbered according to the order in which they should be run.

Figures are generated in the following notebooks: - Fig 1: 0_get_region.ipynb - Fig 2: 3_historical_precedent.ipynb - Fig 3: 4_fidelity_testing.ipynb - Fig 4: 4_fidelity_testing.ipynb - Fig 5: 5_likelihoods.ipynb - Fig 6: 6_conditioning.ipynb - Fig 7: 6_conditioning.ipynb - Fig 8: 5_likelihoods.ipynb - Fig S1: 3_historical_precedent.ipynb - Fig S2: 4_fidelity_testing.ipynb - Fig S3: 4_fidelity_testing.ipynb

Owner

  • Name: Dougie Squire
  • Login: dougiesquire
  • Kind: user
  • Location: Hobart, Tasmania
  • Company: @ACCESS-NRI

Fluid dynamicist turned climate scientist turned software engineer

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Squire"
  given-names: "Dougal"
  orcid: "https://orcid.org/0000-0003-3271-6874"
title: "Codes for Squire et al. 2021"
version: v0.2
doi: 10.5281/zenodo.5566187
date-released: 2021-10-13
url: "https://github.com/dougiesquire/Squire_2021_fire_susceptibility"
preferred-citation:
  type: article
  authors:
  - family-names: "Squire"
    given-names: "Dougal T."
    orcid: "https://orcid.org/0000-0003-3271-6874"
  - family-names: "Richardson"
    given-names: "Doug"
  - family-names: "Risbey"                                
    given-names: "James S."
  - family-names: "Black"                                
    given-names: "Amanda S."
  - family-names: "Kitsios"                                
    given-names: "Vassili"
  - family-names: "Matear"                                
    given-names: "Richard J."
  - family-names: "Monselesan"                                
    given-names: "Didier"
  - family-names: "Moore"                                
    given-names: "Thomas S."
  - family-names: "Tozer"                                
    given-names: "Carly R." 
  journal: "npj Climate and Atmospheric Sciences"
  title: "Likelihood of unprecedented drought and fire weather during Australia’s 2019 megafires"
  year: 2021
  volume: 4
  issue: 64
  doi: 10.1038/s41612-021-00220-8

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Dependencies

environment.yml pypi
  • jupyter-resource-usage ==0.6.0
  • jupyterlab-system-monitor ==0.8.0
  • jupyterlab-topbar ==0.6.1