CDRMEx
Carbon Dioxide Removal Modeling Experiments.
https://github.com/hsbay/cdrmex
Category: Emissions
Sub Category: Carbon Capture
Keywords
carbon-dioxide-removal carbon-removal cdr climate-change climate-modeling-experiments magicc
Keywords from Contributors
archiving transforms measur generic optimize observation compose conversion projection animals
Last synced: about 22 hours ago
JSON representation
Repository metadata
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 (about 6 years ago)
- Default Branch: main
- Last Pushed: 2024-08-03T08:00:23.000Z (9 months ago)
- Last Synced: 2025-04-20T09:04:13.964Z (7 days 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: 2
- Forks: 1
- Open Issues: 0
- Releases: 0
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: license.txt
README.md
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 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 metadata
- Name: Open NanoCarbon
- Login: hsbay
- Email: [email protected]
- Kind: organization
- Description: Repository for work on open hardware to rapidly solidify Carbon from atmospheric CO₂.
- Website: http://www.autofracture.com/opencarbon
- Location: Horseshoe Bay, California
- Twitter: safiume
- Company:
- Icon url: https://avatars.githubusercontent.com/u/35169692?v=4
- Repositories: 1
- Last ynced at: 2023-03-09T23:40:31.939Z
- Profile URL: https://github.com/hsbay
GitHub Events
Total
Last Year
Committers metadata
Last synced: 6 days ago
Total Commits: 159
Total Committers: 2
Avg Commits per committer: 79.5
Development Distribution Score (DDS): 0.006
Commits in past year: 1
Committers in past year: 1
Avg Commits per committer in past year: 1.0
Development Distribution Score (DDS) in past year: 0.0
| Name | Commits | |
|---|---|---|
| Shannon Fiume | s****n@a****m | 158 |
| dependabot[bot] | 4****] | 1 |
Committer domains:
Issue and Pull Request metadata
Last synced: 2 days ago
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 request: 37
Bot issues: 0
Bot pull requests: 1
Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- safiume (4)
Top Pull Request Authors
- safiume (36)
- dependabot[bot] (1)
Top Issue Labels
Top Pull Request Labels
- dependencies (1)
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
Score: 3.1780538303479458