Examples

These executed notebooks use deterministic synthetic datasets, so they run in CI and do not need real climate files.

Notebook List

Notebook	Shows
Direct CMIP6 API	Run one known fix id.
CMIP6 Recipe	Run the bundled cmip6.core_units recipe.
CMIP6-decadal Recipe	Run c3s.cmip6_decadal with prepare and apply phases.
Atlas Recipe	Run the bundled c3s.atlas plugin recipe.
ESA CCI Recipe	Run a bundled CMIP7/ESA CCI plugin recipe.
xMIP Plugin Demo	Inspect an xMIP-style plugin workflow.
Pythonic Recipe Builder	Author recipes in Python.
Auto Recipe Store	Expose registered fixes as one-step recipes.
RecipeCatalog	Combine curated and generated recipe stores.
DuckDB Recipe Store	Query recipes from a DuckDB store.

Minimal recipe shape:

recipe = woodpecker.recipe.get("cmip6.core_units")
findings = woodpecker.recipe.check(dataset, recipe)

The notebooks use woodpecker.testing factories such as make_cmip6(), make_cmip6_decadal(), and make_atlas(). Raw notebook files are also available on nbviewer.