A Generalized Approach to Early Warning Signs of Critical Transitions in Dynamical Systems driven by α-Stable Noise

This code reproduces the data and analysis for the paper 'A Generalized Approach to Early Warning Signs of Critical Transitions in Dynamical Systems driven by α-Stable Noise' currently under considerations at Theoretical Ecology

The simulation code was optimized for efficient execution on parallelized High-Performance Computing (HPC) infrastructure. The output of these simulations is found in data.

If you just want to test the simulations locally, test_run.py will generate one iteration of both systems for the linear and non-linear cases. The non-linear case is commented out by default as this takes some time to run.

For this run python3 code/run_test.py. The output will appear in data/new

Running figures.R will produce all figures. The figures will be found in reports/paper.

Conda environment

conda create --name alphastableEWS python=3.9
source activate alphastableEWS
conda install -c conda-forge numpy=1.23.1 scipy=1.9.0 pandas=1.4.3