climate-data

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Documentation: https://ihmeuw.github.io/climate-data

Source Code: https://github.com/ihmeuw/climate-data

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Pipelines to extract, format, and downscale ERA5 and CMIP6 data.

Development

Instructions using conda:

1. Clone this repository.

   Over ssh:

   git clone [email protected]:ihmeuw/climate-data.git

   Over https:

   git clone https://github.com/ihmeuw/climate-data.git

2. Create a new conda environment.

   conda create -n climate-data python=3.11
   conda activate climate-data

3. Install poetry and the project dependencies.

   pip install poetry
   cd climate-data
   poetry install

Pre-commit

Pre-commit hooks run all the auto-formatting (ruff format), linters (e.g. ruff and mypy), and other quality checks to make sure the changeset is in good shape before a commit/push happens.

You can install the hooks with (runs for each commit):

pre-commit install

Or if you want them to run only for each push:

pre-commit install -t pre-push

Or if you want e.g. want to run all checks manually for all files:

poetry run pre-commit run --all-files