These notebooks reproduce the back-of-envelope analysis done to gut-check Lithos's claim of 8.3 tonnes/ha/yr of gross CDR.
surface-area.ipynbanalyzes how much surface area is required to reach the inferred dissolution fraction given a range of dissolution rates.export-fluxes.ipynbanalyzes the DIC and ALK export required to achieve 8.3 tonnes/ha/yr gros CDR.
This project uses Pixi for dependency management. Pixi is a fast, cross-platform package manager that handles both Python and system dependencies. The Pixi configuration is defined in pyproject.toml, though we've placed dependencies under [project.dependencies] which should allow you to work with this repository using other package management tools (e.g., pip).
Getting started should be as easy as:
git clone https://github.com/carbonplan/lithos-issuance.git
cd lithos-issuance
pixi install
pixi shell
jupyter notebookInstall Pixi by following the instructions at https://pixi.sh, or use one of these quick install methods:
# macOS/Linux
curl -fsSL https://pixi.sh/install.sh | bash
# Windows
iwr -useb https://pixi.sh/install.ps1 | iexThis code is licensed under the MIT License - see the LICENSE file for details.
CarbonPlan is a nonprofit organization that uses data and science for climate action. We aim to improve the transparency and scientific integrity of climate solutions through open data and tools. Find out more at carbonplan.org or get in touch by opening an issue or sending us an email