Climate risk to rice labour
The notebook has already been evaluated, so have a look reduced_example.
CMIP6 data is retreived from the Pangeo GCS.
A script is provided to setup the conda environment from inside the notebook if required.
├── Makefile ├── README.md ├── environment.yml <- Conda environment specification. ├── env.sh <- Conda environment setup script. │ ├── notebooks <- Jupyter notebooks. │ └──reduced_example.ipynb <- Example of heat/labour analysis using climate data and crop calendars. │ └──reduced_example.py <- Script version of above notebook, used for clean version control. ├── src <- Source code for use in this project. │ ├──dayofyear.py <- Logic for subsetting data based on the day of the year. │ ├──Labour.py <- Formulae for assumptions about the effect of WBGT on labour. │ └──RiceAtlas.py <- Routine for loading RiceAtlas data.