OpenGHG Inversions tutorial data

Companion data for the standard and multisector RHIME tutorials in openghg_inversions.

The repository contains a small, real CH4 inversion dataset for January 2020 on the EUROPE domain:

• observations and NAME footprints for MHD and TAC;
• EDGAR v8 anthropogenic and derived WetCHARTs v1.3.1 wetlands fluxes;
• CAMS v22r2 daily boundary conditions.

The complete month is stored as NetCDF through Git LFS. The default tutorial uses its first week; changing only end_date exercises the full month.

Populate the tutorial store

Use a Python environment containing OpenGHG, then run this once from the repository root:

python scripts/populate_store.py

The command verifies every LFS file against manifest.toml, registers the checkout-local store as inversions_tutorial_data, imports the inputs, and checks that every tutorial search resolves exactly once. It is safe to rerun. Use python scripts/populate_store.py --verify-only for integrity and search checks without importing.

The default store is stores/inversions_tutorial_data and typically occupies about 100 MiB. To use another location, pass --store-path PATH. If that path has already been registered under another name, also pass --store-name NAME.

To remove the populated data, delete the store directory. Its OpenGHG config entry may remain: rerunning the command will recreate the store.

Tutorial periods

• Quick run: 2020-01-01 to 2020-01-08.
• Full supplied period: 2020-01-01 to 2020-02-01.

See PLAN.md for the delivery plan and DATA_LICENSES.md for source citations, licences, required attribution, and processing notes. Cite the upstream scientific datasets rather than this repository unless a citable release of this bundle is provided.