Post-processed data and scripts for "Ocean eddies lower the global-mean, maximum intensity of tropical cyclones in a one-year global, coupled simulation"

Eddy_identification contains two files: calc_Okubo_Weiss_param.ipynb and Eddy_algorithm.py. The former derives the Okubo-Weiss parameter from raw ICON output and is required for the latter script, which identifies ocean eddies at a given snapshot in time. Postprocessed_data contains four subfolders: 1h_candidate_TCpoints, 1h_eddy_data, 1h_tracks and 1h_track diagnostics.

As their names suggest, the candidate tropical cyclone points for the tracking algorithm are stored in h_candidate_TCpoints as csv files. The resulting 56 tracks are stored in 1h_tracks and the additional diagnostics, such as sea-surface cooling, are located in 1h_track_diagnostics as csv files. In 1h_eddy_data, there is a .npy file with the eddy data for each of the 56 tropical cyclones.

Finally, Plots contains three scripts. TC_statistics.ipynb generates the global map of tropical cyclone tracks and the monthly TC-frequency plot in Figure 1. The plot for Figure 2 is generated using the script, eddy_TC_statistics.ipynb.

Figure S2 in the supplementary materials section is created with TC_eddy_example_plot.ipynb.