| Summary: | We used this software to reproduce the approach of Chadburn et al. (2017) to assess the response of circum-Arctic equilibrium permafrost extent to an increase in global mean surface temperatures (GMST) compared to pre-industrial levels. In deviation from the work of Chadburn et al., we used ERA5-Land data as a climatological baseline. In addition, we combined the approach with the soil organic carbon data by Hugelius et al. (2014) to quantify the equilibrium permafrost carbon content in response to GMST increase. The Python script calculate_responses.py takes the ERA5 and NCSCDv2 input data from the ./input/ directory, calculates the respective responses and saves them into the ./output/ directory. The Python script plotting_article.py has been used to create figures for a related scientific article which are saved in the ./plots/ directory. References Chadburn, S. E., Burke, E. J., Cox, P. M., Friedlingstein, P., Hugelius, G., & Westermann, S. (2017). An observation-based constraint on permafrost loss as a function of global warming. Nature Climate Change , 7 (5), 340–344. https://doi.org/10.1038/nclimate3262 Hugelius, G., Strauss, J., Zubrzycki, S., Harden, J. W., Schuur, E. A. G., Ping, C.-L., Schirrmeister, L., Grosse, G., Michaelson, G. J., Koven, C. D., O’Donnell, J. A., Elberling, B., Mishra, U., Camill, P., Yu, Z., Palmtag, J., & Kuhry, P. (2014). Estimated stocks of circumpolar permafrost carbon with quantified uncertainty ranges and identified data gaps. Biogeosciences , 11 (23), 6573–6593. https://doi.org/10.5194/bg-11-6573-2014
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