cdrmex

Carbon Dioxide Removal (CDR) Modeling Experiments

https://github.com/hsbay/cdrmex

Science Score: 39.0%

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    Found 8 DOI reference(s) in README
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    Low similarity (9.9%) to scientific vocabulary

Keywords

carbon-dioxide-removal carbon-removal cdr climate-change climate-modeling-experiments magicc

Keywords from Contributors

projection interactive serializer measurement cycles packaging charts network-simulation archival shellcodes
Last synced: 6 months ago · JSON representation

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Carbon Dioxide Removal (CDR) Modeling Experiments

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carbon-dioxide-removal carbon-removal cdr climate-change climate-modeling-experiments magicc
Created almost 7 years ago · Last pushed 9 months ago
Metadata Files
Readme Funding License

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

Repository for work on open hardware to rapidly solidify Carbon from atmospheric CO₂.

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  • Development Distribution Score (DDS): 0.006
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Shannon Fiume s****n@a****m 159
dependabot[bot] 4****] 1
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Last synced: 6 months ago

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  • 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
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  • Bot pull requests: 1
Past Year
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  • Average comments per issue: 0
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Top Authors
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  • safiume (4)
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  • safiume (36)
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dependencies (1)

Dependencies

requirements.txt pypi
  • 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