Searvey aims to provide the following functionality:
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Unified catalogue of observational data including near real time.
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Real time data analysis/clean up to facilitate comparison with numerical models.
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On demand data retrieval from multiple sources that currently include:
- U.S. Center for Operational Oceanographic Products and Services (CO-OPS)
- Flanders Marine Institute (VLIZ); Intergovernmental Oceanographic Commission (IOC)
The package can be installed with conda:
conda install -c conda-forge searvey
python3 -mvenv .venv
source .venv/bin/activate
poetry install
pre-commit install
If you wish to use jupyterlab to test searvey, then, assuming you have an existing jupyterlab installation, you should be able to add a kernel to it with:
python -m ipykernel install --user --name searvey