This repo provides the example notebooks for the CloudDrift library.

To get a taste of the clouddrift package and how it works, look, and/or run on your computer, a number of example notebooks are available:

• GDP: A demo of clouddrift working on the hourly dataset of the NOAA Global Drifter Program (GDP). It shows how to ingest GDP data into the RaggedArray class, how to emit the data as xarray Dataset or Awkward Array instances for analysis, and how to read and write ragged array data in NetCDF and Apache Parquet file formats.
• GDP 6-hourly: Same as above, but for 6-hourly GDP dataset.
• GLAD: An example notebook for the CARTHE GLAD dataset.
• Simulation data: An example using a dataset from a Lagrangian simulation experiment.

git clone https://github.com/cloud-drift/clouddrift-examples
cd clouddrift-examples

python3 -m venv venv
source venv/bin/activate
pip install -U pip
pip install .

You can now start the Jupyter server with the GDP notebook like this

jupyter notebook notebooks/gdp.ipynb

and similarly for the other notebooks.