copernicus-downloader 1.1.1

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Copernicus Downloader

A flexible incremental downloader for Copernicus CDS / ADS datasets, designed for reproducible and automated pipelines.
Supports yearly, monthly, daily granularities with incremental catch-up, local or S3 storage, and .env + YAML configuration.

Repository: celine-eu/copernicus-downloader
License: Apache-2.0

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Features

• Incremental yearly / monthly / daily downloads
• Automatic skipping of already-requested files
• min_date clamp to avoid overlap between monthly backfill and daily updates
• Local FS or S3 (Minio) storage abstraction
• Configurable with .env + YAML
• Logging with LOG_LEVEL
• uv for fast Python environment management

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Setup

1. Clone the repo

git clone https://github.com/celine-eu/copernicus-downloader.git
cd copernicus-downloader

2. Install dependencies (via uv)

uv sync

This will create and manage a virtual environment automatically.

Environment variables

Create a .env file in the repo root:

# Copernicus CDS API credentials (find them in your CDS profile)
CDS_API_KEY="abcdefg-your-key"
CDSAPI_URL="https://cds.climate.copernicus.eu/api"

# Optional: Atmosphere ADS API credentials
ADS_API_KEY="hijklmn-your-key"
ADSAPI_URL="https://ads.atmosphere.copernicus.eu/api"

# Optional: storage backend
AWS_ACCESS_KEY_ID="minio"
AWS_SECRET_ACCESS_KEY="minio123"
AWS_DEFAULT_REGION="us-east-1"
# AWS_ENDPOINT_URL=http://localhost:19000

# Logging
LOG_LEVEL=INFO

# Optional: temporary dir for downloads
CDS_TMPDIR=/var/tmp/cds
# Optional: data storage path
DATA_DIR=./data

Configuration

By default, the downloader loads cds_config.yaml (or path from CDS_CONFIG). Supports ${VAR} placeholders, expanded from .env.

Example config

cat > cds_config.yaml <<'YAML'
years: [2020, 2021, 2022, 2023, 2024]

storage:
  type: fs
  base_dir: ./data

# Example for Minio
# storage:
#   type: s3
#   bucket: my-bucket
#   endpoint_url: http://localhost:9000

datasets:
  era5:
    name: reanalysis-era5-single-levels
    url: ${CDSAPI_URL}
    key: ${CDS_API_KEY}
    granularity: daily
    min_date: 2025-08-01   # daily starts after monthly backfill
    request:
      product_type: ["reanalysis"]
      variable: ["2m_temperature", "total_precipitation"]
      time: ["00:00","06:00","12:00","18:00"]
      data_format: grib
      download_format: unarchived
      area: [45.96, 11.11, 45.84, 11.36]

Running

Download all datasets

uv run python -m copernicus_downloader.main

Download only one dataset (e.g., era5)

uv run python -m copernicus_downloader.main era5

Contributing

Issues and PRs are welcome! Please open an issue or submit a pull request.

License

This project is licensed under the Apache-2.0 License.