Data and scripts for the study "Resilience of international trade to typhoon-related supply disruptions"

This are the i) input data, ii) final output data, iii) python scripts to reproduce the figures of the study "Resilience of international trade to typhoon-related supply disruptions".

i) Input data

The input file "routes.nc" provides the geographic transportation network as described in the study.

The input data "impacts_*.nc" are necessary to drive simulation runs using the agent-based economic network model Acclimate with the geographic transport network module. The implementation of Acclimate with the geographic transportation module is available as open source on https://github.com/acclimate/acclimate/tree/transport-module  with identifier 10.5281/zenodo.7788859.

To the derive the input data, the open source file "IBTrACS.WP.v04r00.nc" from IBTrACS as well the Acclimate impact-generator (https://github.com/acclimate/impactgen) is needed. An explanation on the algorithm is given in the study "Resilience of international trade to typhoon-related supply disruptions".

ii) Final output

The model Acclimate computes, based on the input data, the raw output data. The raw output have in total a volume of over 3.3 Terabyte. We can provide this raw data upon request. However, due to storage space limitations, we will provide in this repository only the regionally and sectorally aggregated output data that were used for the graphs in the paper. These data are described "blocs_*.nc" or "shorts_*.nc"

iii) python scripts

Using the given python scripts ("*.py" files), the figures of the study "Resilience of international trade to typhoon-related supply disruptions" can be reproduced. The needed input files for the scripts are given under "input data" or "final output". All necessary self-build functions are given in "lib.py" or "regionfinder.py".

If any question arise, please contact Dr. Kilian Kuhla under kilian.kuhla@pik-potsdam.de .