Carbon Dioxide Removal (CDR) Modeling Experiments

This project models highly speculative Carbon Dioxide Removal to understand its effects and speculate how much carbon may need to be removed to return to a carbon dioxide concentration of 300 ppm by mid-century and essentially 0ºC by 2100. The experiments are performed in MAGICC6.8 and have been run on pymagicc. The repo contains the scenario input files for MAGICC and a notebook that outlines the experiments and results.

For best-effort scientific findings from a citizen scientist, see my
preprint and AGU'23 poster.

The experiments are shown in ONCtests.ipynb which is a jupyter notebook that runs pymagicc, and requires windows or wine when run on a non-windows platform. To run these experiments, download wine, python, pip, pymagicc, this repo, and open the notebook in jupyter.

Download/install wine

Next open a terminal, and add wine to the path.

Then run:

pip install -r requirements.txt
jupyter-notebook ONCtests.ipynb

Open a terminal and do something like the following:

which wine
git clone https://github.com/hsbay/cdrmex
git clone https://github.com/openscm/pymagicc
cd pymagicc
make venv
./venv/bin/pip install --editable .
./venv/bin/pip install ipywidgets appmode
./venv/bin/pip install -r requirements.txt
jupyter nbextension enable --py --sys-prefix widgetsnbextension
jupyter nbextension     enable --py --sys-prefix appmode
jupyter serverextension enable --py --sys-prefix appmode
./venv/bin/jupyter-notebook ../cdrmex/ONCtests.ipynb

After the notebook is up, run all the cells, if they haven't already been populated.

This workbook uses pymagicc by R. Gieseke, S. N. Willner and M. Mengel, (2018). Pymagicc: A Python wrapper for the simple climate model MAGICC. Journal of Open Source Software, 3(22), 516, https://doi.org/10.21105/joss.00516

MAGICC is by: M. Meinshausen, S. C. B. Raper and T. M. L. Wigley (2011). “Emulating coupled atmosphere-ocean and carbon cycle models with a simpler model, MAGICC6: Part I “Model Description and Calibration.” Atmospheric Chemistry and Physics 11: 1417-1456. https://doi.org/10.5194/acp-11-1417-2011

This software is CC-BY-4.0 and carries no warranty towards any liability, use at your own risk. See license.txt for more information.