https://github.com/climateimpactlab/dscim-testing
https://github.com/climateimpactlab/dscim-testing
Last synced: 2 months ago
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- Host: GitHub
- URL: https://github.com/climateimpactlab/dscim-testing
- Owner: ClimateImpactLab
- Created: 2025-03-19T17:50:05.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-05-28T17:09:08.000Z (10 months ago)
- Last Synced: 2025-09-10T03:50:44.319Z (7 months ago)
- Language: Jupyter Notebook
- Size: 69.3 KB
- Stars: 0
- Watchers: 5
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
Important files:
- `environment.yaml`: The environment used to run dscim. I install this using conda.
- `configs/dummy_config.yaml`: Config that is used to save file paths and run dscim.
- `file_creation.ipynb`: Creates all of the necessary inputs according to the config paths.
- `menu.ipynb`: Generates a dscim menu that you can play with.
- `run_integration_result.py`: This is the type of run script that I use to run the integration results.
General setup:
1. Create the conda environment with `conda env create -f environment.yaml`.
2. Run through `file_creation.ipynb`. Feel free to tweak various coordinate values to see where stuff breaks.
3. Run at least the `reduce_damages` step of `run_integration_result.py`. I've commented out some code that hasn't been implemented in this play example.
4. Using either `menu.ipynb` or `run_integration_result.py`, play with dscim!