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Inputs · Local EXIOBASE 3.10.2, Eora26 and ADB releases with their extensions. The companion notebook lists the exact years and expected folder structure.

Accounts → Characterization → Regional totals → Common units → Chart

Indicator, geography and units

Indicator

The example requests AR5/GWP100. Already characterized source CO2eq totals keep their original factors.

Geography

Source-specific labels are reconciled to ISO3 before countries are selected.

Units

Regional totals are converted to a common magnitude before plotting.

Analysis steps

1 · Check accounts

Inspect the selected profiles and the gas rows actually present in each source. A supported profile does not imply identical coverage.

2 · Characterize

db.calc_ghg(ipcc_report="AR5", time_horizon=100)
ghg = "GHG AR5 GWP-100"
db.calc_all(["f"])

This block applies to a compatible IOT with the required gas accounts. See GHG characterization and footprints for source-total limitations.

3 · Build totals

direct_fd = db.EY.loc[ghg].groupby(level=0).sum()
pba = db.E.loc[ghg].groupby(level=0).sum() + direct_fd
embodied_fd = db.f.loc[ghg] @ db.Y
cba = embodied_fd.groupby(level=0).sum() + direct_fd

f @ Y retains final-demand columns, so their region identifies the consumer. F instead retains production-node columns and cannot be grouped by origin to obtain consumption-based totals. Direct final-demand emissions are added once to both accounting views.

The companion’s harmonization step aligns regional labels and units. For partial numerical results, handle NaN explicitly before aggregating.

4 · Compare

Plot the selected countries and years. Differences still reflect source coverage, accounts and modelling choices; a shared label alone does not make the estimates equivalent.

Start with Calculate greenhouse gas emissions for the single-database workflow.