Climate Migration Risk Analysis and Forecasting in Europe

Description

This project utilizes data from the Copernicus ERA5 dataset to analyze temperature trends and their potential impacts on climate migration in Europe. By using Python libraries such as cdsapi and xarray, the project extracts, processes, and analyzes data to visualize temperature changes and identify risk zones for future migration caused by climate factors.

Objectives

• Process ERA5 temperature data for European regions.
• Create visualizations to map temperature trends.
• Forecast potential migration risks due to extreme climate conditions.
• Provide insights into sustainable development and urban planning in the context of climate change.

Status

This project is under development. Current progress includes:

• Successful integration of the CDS API for data retrieval.
• Initial processing of NetCDF data.
• Planned implementation of advanced visualizations and predictive models.

Technology Stack

• Programming Language: Python
• Libraries: cdsapi, xarray, matplotlib, netCDF4
• Data Source: Copernicus ERA5 Dataset

How to Run

1. Install the required libraries:

   pip install cdsapi xarray matplotlib netCDF4
   

Run the script to retrieve and process data: python main.py

Visualize results using tools like Matplotlib.

Acknowledgments

This project leverages data provided by the Copernicus Climate Data Store (CDS). Special thanks to the European Centre for Medium-Range Weather Forecasts (ECMWF) for their resources.