A collection of Jupyter notebooks demonstrating geoscientific workflows that use data from NCAR's Geoscience Data Exchange (GDEX), with computations performed on NCAR's HPC resources (Casper / Derecho). The site is built with Jupyter Book 2 / MyST and deployed via GitHub Pages.
Browse the rendered book: https://ncar.github.io/gdex-examples/
External user, not on NCAR HPC? This repository assumes access to NCAR's JupyterHub on Casper / Derecho. If you want to stream GDEX data into your own workflows from off-site, see osdf-examples.
git clone https://github.com/NCAR/gdex-examples.git
cd gdex-examplesThen open any notebook in notebooks/ from NCAR JupyterHub. Each notebook
lists its required packages at the top.
Examples are organized by data type:
- Observations — direct measurements (HadISST, EOL radar, ...)
- Analysis — operational data-assimilation products (NCEP GFS)
- Reanalysis — retrospectively assimilated records (ERA5, JRA-3Q, DART/CAM6)
- Simulations — model output (CESM2 LENS, NA-CORDEX, ...)
- Data Fusion — workflows combining two or more datasets
- Background & Concepts — supporting material (e.g. the Zarr format)
See the Introduction for a fuller tour.
docs/ Section overviews and the contribution guide
notebooks/ All example workflow notebooks
myst.yml Jupyter Book 2 configuration / table of contents
Contributions are welcome from anyone with an NCAR HPC account or any user of GDEX data. See the contribution guide for the full workflow.
Report bugs and request features via GitHub Issues.