Copernicus_downloader

Tools for Mass-Downloading Copernicus Time Series Data

Overview

This repository contains tools for efficiently downloading Copernicus marine service data for time-series analysis. The workflow integrates R and Python, allowing users to manage study metadata (sampling sites and dates) and automate data retrieval from Copernicus.

Features

✅ Handles Study Metadata: Uses R and Markdown to manage sampling sites, dates, and study design.
✅ Automated Data Download: Python script programmatically fetches Copernicus data.
✅ Traceability & Reproducibility: All is organized and documented in a Jupyter Notebook (*.ipynb) that serves as documentation to ensure transparency in data handling.

Workflow

0. Clone the repo, and set the virtual environment .venv for the project.

1. Prepare Metadata (R)

   • Open *.ipynb to organize and document study metadata.
   • Define sampling sites, time range, study area, and any necessary parameters.

2. Download Data (Python)

   • Run the Python script within the Jupyter Notebook to fetch Copernicus data based on metadata.
   • Automate requests and ensure batch processing.

3. Extract values and create visualizations

   • Use downloaded .nc files (containing rasters) to extract values of parameters of interest and create visualizations, including GIF animations.

4. Traceability

   • The Jupyter notebook document serves as a log of all operations for reproducibility.

Contributing

Contributions are welcome! Feel free to open issues or submit pull requests.

Cristian Correa cristian@newatlantis.io