Climate Stabilisation Under Net Zero CO2 Emissions

This repository contains the code used to analyze the stability of global and regional temperature responses under net-zero CO2 emissions. The analysis employs the Signal-to-Noise (S/N) ratio methodology, applied to simulations from the Zero Emissions Commitment Model Intercomparison Project (ZECMIP).

Repository Contents and Structure

Code used to generate figures analyzing the global mean surface temperature (Figure 1 and Figures S1-S6) can be found in 01_global_mean_stability.ipynb.

Code used to analyze the local temperature response (Figures 2-7 and Figures S7-S8) can be found in 01_regional_stability.ipynb.

Code for Replicating Stabilisation Algorithm

To replicate the stabilisation algorithm, the easiest starting point is 01_global_stability_demonstration.ipynb.

The required functions can be found in src/signal_to_noise_calculations.py:

• signal_to_noise_ratio: Calculates the Signal-to-Noise (S/N) ratio for a single window.
• signal_to_noise_ratio_multi_window: Calculates the S/N ratio for multiple windows.
• calculate_year_stable_and_unstable: Identifies the years at which non-stabilisation and stabilisation occur.