Science Score: 39.0%
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○CITATION.cff file
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✓.zenodo.json file
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✓DOI references
Found 8 DOI reference(s) in README -
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○Scientific vocabulary similarity
Low similarity (9.9%) to scientific vocabulary
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Repository
Carbon Dioxide Removal (CDR) Modeling Experiments
Basic Info
- Host: GitHub
- Owner: hsbay
- License: cc-by-4.0
- Language: Jupyter Notebook
- Default Branch: main
- Homepage: https://opennanocarbon.atlassian.net/wiki/spaces/REF/pages/575963137/Method+to+Determine+A+CDR+Target#MethodtoDetermineACDRTarget-ExperimentalValidationPaper
- Size: 108 MB
Statistics
- Stars: 12
- Watchers: 2
- Forks: 1
- Open Issues: 0
- Releases: 0
Topics
Metadata Files
README.md
CDRMEx
Carbon Dioxide Removal (CDR) Modeling Experiments
CC-BY-4.0, 2020-2024 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 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.
Install and run the workbook
Download/install wine
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 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.
Owner
- Name: Open NanoCarbon
- Login: hsbay
- Kind: organization
- Email: onccode@autofracture.com
- Location: Horseshoe Bay, California
- Website: http://www.autofracture.com/opencarbon
- Twitter: safiume
- Repositories: 1
- Profile: https://github.com/hsbay
Repository for work on open hardware to rapidly solidify Carbon from atmospheric CO₂.
GitHub Events
Total
Last Year
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Shannon Fiume | s****n@a****m | 159 |
| dependabot[bot] | 4****] | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 4
- Total pull requests: 37
- Average time to close issues: 8 months
- Average time to close pull requests: 1 day
- Total issue authors: 1
- Total pull request authors: 2
- Average comments per issue: 0.75
- Average comments per pull request: 0.03
- Merged pull requests: 37
- Bot issues: 0
- Bot pull requests: 1
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- safiume (4)
Pull Request Authors
- safiume (36)
- dependabot[bot] (1)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- f90nml ==1.1.2
- jupyter ==1.0.0
- matplotlib ==3.3.3
- numpy ==1.22.0
- pandas ==1.1.5
- pymagicc ==2.0.0
- seaborn ==0.11.1