Author: Sebastian Sardon
These programs create a dataset of Peruvian weather data at a daily frequency.
Instructions:
Step 1. Retrieve raw data from SENHAMI's official webpage using the program "1.1 - Scrap SENHAMI.py", then preprocess it with "1.2 - Clean Scrapped.py" [requires Python]
Step 2. Clean raw data using the program "2 - Weather Dataset.do" [requires Stata]
Step 1's output can be downloaded here.
Information available from the author at sebastiansardonbisso@gmail.com. Suggestions are welcome.
The following figures can be replicated using the output dataset:
Below, nearest neighbor (1-NN) maps of local averages over 1990-2016. Left panel: average temperature (°C, 7 a.m.). Right panel: average precipitation (milimters, daily).
