physoce-datasets 0.1.0

A Python package and CLI for downloading various physical oceanographic datasets.

physoce-datasets

A Python package and CLI for downloading various physical oceanographic datasets.

Install

Clone the package and navigate to the directory:

git clone https://github.com/andrew-s28/physoce-datasets.git
cd physoce-datasets

uv

uv is the preferred way to manage this package. Please refer to the uv installation instructions. Once uv is installed, you can initialize a virtual environment with uv sync or you can run any commands directly with uv run and uv will handle the venv creation and activation auto-magically.

pip

Of course, you can also use the classic pip, but you have to handle creating and activating the venv yourself:

python -m venv .venv
source .venv/bin/activate
pip install -e .

Credentials

Upon usage, this package may prompt for credentials to various data stores. Please refer to their documentation for how to access credentials and how credentials are stored:

• Copernicus Marine Services
• Copernicus Climate Data Store

CLI usage

Run the CLI with uv:

uv run datasets.py --help

Note that if you prefer the pip environment management, activate your environment according to the above and replace all uv run commands with python, e.g.:

python datasets.py --help

Available commands:

• eke: Download altimetry-derived geostrophic velocities and compute eddy kinetic energy from Copernicus Marine Services.
• era5: ERA5 workflow group with submit and download subcommands.

Show command help:

uv run datasets.py eke --help

Options

All commands share the same base options:

• --save-dir: Directory where the dataset file is written. If not set, defaults to the package data/ directory.
• --start-date: Start date in YYYY-MM-DD format. If not set, uses the earliest available date.
• --end-date: End date in YYYY-MM-DD format. If not set, uses the latest available date

Run eke download with defaults:

uv run datasets.py eke

Submit ERA5 jobs with explicit options:

uv run datasets.py era5 submit --save-dir data --start-date 2020-01-01 --end-date 2020-01-31 --max-active-requests 10

Download and process ERA5 files once all remote jobs are successful:

uv run datasets.py era5 download --save-dir data

The ERA5 workflow writes its progress to submitted_requests.csv inside the save directory. If the script exits or is interrupted, rerun the same command to resume from saved state.