Add UTAC tension metric computation from ERA5 climate data

[GenesisAeon]

Summary

This PR introduces a new tension metric computation function that maps ERA5 climate observables (temperature anomaly and Arctic sea ice volume) to a scalar tension value within the UTAC-Logistic framework. The implementation includes supporting test data and comprehensive unit tests.

Key Changes

• New function compute_tension_metric() in utac_core.py: Implements a mathematically-grounded tension metric that combines temperature anomaly and ice volume stress using exponential coherence and gamma functions. Higher temperature anomalies and lower ice volumes produce higher tension values.
• ERA5 climate dataset (data/era5_kipppunkte.csv): Added historical climate data spanning 1940–2023 with temperature anomalies and Arctic sea ice volumes for validation and analysis.
• Public API export: Exposed utac_core module at the top-level genesis_os package for easier access.
• Comprehensive test coverage: Added 6 new unit tests validating:
  • Return type and non-negativity constraints
  • Zero-anomaly boundary condition (minimum tension)
  • Monotonic increase with temperature anomaly
  • Inverse relationship with ice volume
  • Top-level module import functionality

Implementation Details

The tension metric uses a two-stage exponential model:

1. Coherence (C): Gaussian decay of temperature anomaly with σ=1.5°C
2. Gamma (Γ): Secondary modulation capturing non-linear coupling effects
3. Ice stress: Inverse relationship with ice volume (1/(1+V)) to amplify tension under low-ice conditions
4. Final metric: T = (1 - Γ) × (1 + ice_stress), ensuring physical consistency with the UTAC framework

All computations use math module for numerical stability and return explicit float type.

https://claude.ai/code/session_01XWjSMFdboX1UgdbmJ14Nhk

[chatgpt-codex-connector]

You have reached your Codex usage limits for code reviews. You can see your limits in the Codex usage dashboard.
To continue using code reviews, you can upgrade your account or add credits to your account and enable them for code reviews in your settings.