climate_drivers_in_armenia
melvard/climate_drivers_in_armenia
Understanding the drivers of climate variability and extremes in the territory of Armenia using ML approaches
Summary
This repository contains Jupyter notebooks and Python tools for downloading and analyzing ERA5 climate reanalysis data to study climate variability and extreme events in Armenia using machine learning approaches. It includes a data retrieval utility (NetCDF data hunter) that interfaces with the Copernicus Climate Data Store API, with caching functionality to avoid redundant downloads. The project is a collaboration between the French University of Armenia and the Institute for Informatics and Automation Problems, aiming to simulate past climate events (like cyclones) by analyzing preceding climate variables.