v2.0.0 — Visual grammar, distilled.
v2.0.0 — Fidelity, not vibes.
A ground-up refactor of the IPCC AR6 WGI plotting skill around one goal:
faithful visual grammar, backed by evidence.
What changed
- Distilled AR6 WGI visual rules from official guides, colormaps, chapter code, TSU review comments, and Atlas guidance
- Added separate
ar6-reportandwgi-guide-2022style profiles - Added semantic SSP/RCP colours
- Added strict loading of official IPCC WGI colormaps
- Added 90 / 180 mm figure geometry, 9 / 11 pt typography, 0.5 pt axes, and 350 ppi print output
- Added figure archetypes for time series, ensemble bands, maps, and multi-panel layouts
- Separated model agreement, missing data, and statistical significance encodings
- Added machine-checkable fidelity audits
- Added an evidence matrix for rule scope and confidence
- Removed fake “IPCC defaults” for statistical choices such as median, 17–83% ranges, and 80% agreement
- Expanded CI across Python 3.11 and 3.12 with end-to-end artifact checks
Fidelity modes
Strict
For IPCC AR6 WGI-faithful output.
Adapted
For IPCC-inspired work when exact assets or constraints are unavailable.
Philosophy
IPCC style is not a Matplotlib theme.
It is a visual grammar.
This release treats it that way.