temperature-attribution

Attribution of contributions to global mean surface temperature change through to 2023.

Uses fair-calibrate v1.4.5, where emissions and forcing are historical best estimates. I use a one-year extrapolation of emissions to 2023 following the draft ScenarioMIP "M" pathway (the choice really should not matter).

requirements

• python
• conda or mamba

Obtain a minimal distribution of conda from https://docs.conda.io/projects/miniconda/en/latest/miniconda-install.html. conda also ships with python, so you do not need to install python separately.

reproduction

1. clone the repository and cd to temperature-attribution
2. create the environment using conda env create -f environment.yml
3. activate the environment with conda activate temperature-attribution
4. run nbstripout --install to ensure clean notebook commits
5. fire up jupyter notebook and run the notebook in the notebooks directory.

Plots and outputs are in... not surprisingly, the plots and output directories respectively.