Tools for Mass-Downloading Copernicus Time Series Data
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.
✅ Handles Study Metadata: Uses R Markdown to manage sampling sites, dates, and study design.
✅ Automated Data Download: Python script programmatically fetches Copernicus data.
✅ Traceability & Reproducibility: The R Markdown document (Monterey_env_mapping.Rmd
) serves as documentation to ensure transparency in data handling.
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Clone the repo
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Prepare Metadata (R)
- Open
Monterey_env_mapping.Rmd
to organize and document study metadata. - Define sampling sites, time range, and any necessary parameters.
- Open
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Download Data (Python)
- Run the Python script to fetch Copernicus data based on metadata.
- Automate requests and ensure batch processing.
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Traceability
- The Markdown 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 [email protected]