extreme-vs-mean-utac
GenesisAeon Package 94 — real extreme-event-vs-mean-statistics climate science. Deliberately has no UTAC/CREP/AFET bridge — see DISCLAIMER.md.
For a plain-language explanation of the same topic (German, no jargon, written for general audiences), see WHITEPAPER.md.
What's real here
- Patterson (2023, Geophysical Research Letters): hottest days in North-West Europe warm roughly twice as fast (0.58°C/decade) as mean summer days (0.26°C/decade).
- Ballester et al. (2023, Nature Medicine): 61,672 estimated heat-related deaths in Europe, summer 2022 alone.
- Documents a real, quantified gap between mean-based and extreme-based climate risk assessment — see DISCLAIMER.md.
Quickstart
pip install extreme-vs-mean-utac
from extreme_vs_mean_utac import extreme_to_mean_warming_ratio
print(extreme_to_mean_warming_ratio()) # ~2.23
Development
pip install -e ".[dev]"
pre-commit install
ruff check src tests
mypy src
pytest
Citation
See CITATION.cff and .zenodo.json.
Metadata
Release files for extreme-vs-mean-utac 1.0.1
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Source distribution (sdist)
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| extreme_vs_mean_utac-1.0.1.tar.gz | 9.3 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
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| extreme_vs_mean_utac-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 15.1 kB
Release files / extreme_vs_mean_utac-1.0.1.tar.gz
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| Size | 5.8 kB |
| Tags | Python 3 |
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