This repository contains all data products, metadata, and code necessary to reproduce all figures of the manuscript "Continuous isolated noise sources induce repeating waves in the coda of ambient noise correlations" by Schippkus et al. (2023), in review.
\manuscript contains the revised manuscript pre-print pdf. Also available (and citable!) on EarthArXiv.
\notebooks contains three notebooks: fig3_repeating_impulsive_source.ipynb reproduces Figure 3, fig4_sketch.ipynb reproduces Figure 4, fig6_secondary_mic roseism_stf.ipynb reproduces Figure 6, fig10_processing.ipynb reproduces Figure 10, and figs.ipynb reproduces all other figures. Please read the instructions in the first cell of figs.ipynb carefully. settings.toml describes the parameters used for each figure. schippkus_2023_lib.py contains much of the logic for computing waveforms, cross-correlating them, and beamforming the cross correlations.
\correlations contains all cross-correlation functions our measurements are based on. These are computed from 2 years of continuous data in 2019 & 2020 between master stations IV.BRMO & PL.OJC and the Gräfenberg array GR.GR*.
\figures contains all figures as produced by the notebooks provided and used in the manuscript.
colorblind.mplstyle is the matplotlib style-file used for some notebooks.
To run these notebooks, the following is required
- Python >= 3.11
- Scientific Python stack (scipy, matplotlib, numpy)
- obspy
- cartopy
- tqdm
- pygc (for easy great-circle computations)
- notebook
A functioning installation can be achieved, e.g., via conda by
>> conda create -n schippkus_et_al_2023 python=3.11
>> conda activate schippkus_et_al_2023
>> conda install -c conda-forge obspy cartopy tqdm pygc notebook