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README.md

Climate risk to rice labour

Getting started

The notebook has already been evaluated, so have a look reduced_example.

You can also run it on Binder or on your own machine.

CMIP6 data is retreived from the Pangeo GCS.

A script is provided to setup the conda environment from inside the notebook if required.

Project Organization

├── 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.

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Estimating the effect of occupational heat exposure on rice harvesting - reproducible Pangeo demo

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