Indicators Exposure to climate change

The repository contains the code to calculate a range of climate-data based indicators with relevance to human health

Running the code

The easiest way to set up Python to run this code is to use conda - either the minimal Miniconda installation or the full Anaconda distribution. The libraries and packages needed can be installed into a conda environment using the dependencies described in the environment.yml file - see the documentation here.

You will need to run the Jupter notebook service to work with the .ipynb notebook files.

The key working can be found in the relevant notebooks:

Temperature change exposure ERA

Heatwave exposure change

Labour capacity change

Input data download

A (fairly large) amound of input data is needed.

TODO document this.

Name		Name	Last commit message	Last commit date
Latest commit History 72 Commits
.pytest_cache/v/cache		.pytest_cache/v/cache
2017 notebooks		2017 notebooks
results		results
.gitignore		.gitignore
1.1 Temperature by country.ipynb		1.1 Temperature by country.ipynb
1.1 Temperature change exposure ERA.ipynb		1.1 Temperature change exposure ERA.ipynb
1.2 Heatwave exposure change-checkpoint.ipynb		1.2 Heatwave exposure change-checkpoint.ipynb
1.2 Heatwave exposure change.ipynb		1.2 Heatwave exposure change.ipynb
1.2 Heatwaves by country.ipynb		1.2 Heatwaves by country.ipynb
1.3 Labor capacity by country.ipynb		1.3 Labor capacity by country.ipynb
1.3 Labour capacity change.ipynb		1.3 Labour capacity change.ipynb
1.4 Drought exposure.ipynb		1.4 Drought exposure.ipynb
1.5 Extreme rainfall.ipynb		1.5 Extreme rainfall.ipynb
Calculate WBGT.ipynb		Calculate WBGT.ipynb
Calculate daily minimum temperature.ipynb		Calculate daily minimum temperature.ipynb
Calculate daily precipitation.ipynb		Calculate daily precipitation.ipynb
Calculate monthly temperature baseline.ipynb		Calculate monthly temperature baseline.ipynb
Calculate precipitation indicators.ipynb		Calculate precipitation indicators.ipynb
Population plots.ipynb		Population plots.ipynb
Prepare Population data.ipynb		Prepare Population data.ipynb
Project demographic stats to population.ipynb		Project demographic stats to population.ipynb
README.md		README.md
Rasterize countries.ipynb		Rasterize countries.ipynb
climate_conversions.py		climate_conversions.py
config.py		config.py
environment.yml		environment.yml
population_tools.py		population_tools.py
resample_climatology.py		resample_climatology.py
resample_nasa.py		resample_nasa.py
weather_ecmwf.py		weather_ecmwf.py

mstiegl/health-climate-exposure

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Indicators Exposure to climate change

Running the code

Input data download

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