Analysis and monitoring of the anticipatory action trigger on drought in Burkina Faso by UN OCHA. All trigger-related work executed by the Centre for Humanitarian Data
# Burkina Faso Anticipatory Action: drought
## Background information
The pilot on Anticipatory Action in Burkina Faso is on seasonal drought.
To determine the likelihood of such a drought, we make use of precipitation
as meteorological indicator.
More specifically we look at the probability of below-average precipitation
according to the seasonal forecast
by the International Research Institute for Climate and Society (IRI).
The pilot covers four ADMIN1 regions,
namely Boucle du Mouhoun, Nord, Centre-Nord, and Sahel.
## Overview of analysis
This repository currently only contains analysis of IRI data in `analyses` and code
to download this data and monitor the trigger in `src`.
More analyses were done, but these are in the old repository
and should be ported over in the future.
The explanation below on analyses and data sources is copied from the old
repository. The text under `reproducing this analysis` is specific for the repository
you are currently looking at.
We first explored data on humanitarian risk and vulnerabilities to help define
the geographic scope and shock for the pilot.
This exploration is summarized in
this document
, the code for which can be found in `docs/bfa_risk_overview.Rmd`
and `drought_trigger/01_data_summary.R`.
Thereafter we analyzed observed and forecasted precipitation patterns.
This code can be found in the `.md` files in the `drought_trigger/` directory.
## Data description
The forecast source for the trigger is
IRI's seasonal forecast.
This forecast is issued on the 15th of each month and has 1 to 4 months
leadtime.
The data can be downloaded after the creation of an account.
To validate the forecast, we use observational precipitation data by
CHIRPS.
This data is publicly available and is updated every month.
We also make use of the administrative boundaries from the
Common Operational Datasets (CODs) on HDX.
## Reproducing this analysis
Create a directory where you would like the data to be stored,
and point to it …