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https://github.com/hsbay/cdrmex
Carbon Dioxide Removal (CDR) Modeling Experiments
https://github.com/hsbay/cdrmex
carbon-dioxide-removal carbon-removal cdr climate-change climate-modeling-experiments magicc
Last synced: about 1 month ago
JSON representation
Carbon Dioxide Removal (CDR) Modeling Experiments
- Host: GitHub
- URL: https://github.com/hsbay/cdrmex
- Owner: hsbay
- License: cc-by-4.0
- Created: 2019-04-26T05:54:41.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2024-08-03T08:00:23.000Z (5 months ago)
- Last Synced: 2024-11-12T23:14:44.929Z (about 1 month ago)
- Topics: carbon-dioxide-removal, carbon-removal, cdr, climate-change, climate-modeling-experiments, magicc
- Language: Jupyter Notebook
- Homepage: https://opennanocarbon.atlassian.net/wiki/spaces/REF/pages/575963137/Method+to+Determine+A+CDR+Target#MethodtoDetermineACDRTarget-ExperimentalValidationPaper
- Size: 108 MB
- Stars: 12
- Watchers: 3
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: license.txt
Awesome Lists containing this project
- open-sustainable-technology - CDRMEx - Carbon Dioxide Removal Modeling Experiments. (Emissions / Carbon Capture)
README
# CDRMEx
Carbon Dioxide Removal (CDR) Modeling Experiments
##### CC-BY-4.0, 2020 Shannon A. Fiume
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 280 ppm. 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.
The experiments are shown in [ONCtests.ipynb](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](https://sourceforge.net/projects/wine/files/latest/download),
[python](https://www.python.org/downloads/), pip,
[pymagicc](https://github.com/openscm/pymagicc), this repo, and open the
notebook in jupyter.
#### Install and run the workbook
Download/install [wine](https://sourceforge.net/projects/wine/files/latest/download)
Next open a terminal, and add wine to the path.
Then run:
```
pip install -r requirements.txt
jupyter-notebook ONCtests.ipynb
```
#### Install for development
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](https://pymagicc.readthedocs.io/en/latest/) 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](http://magicc.org/) 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.