Data and code underlying the PhD thesis: "Model-policy interface: The use of computational models for climate change mitigation science and policymaking"

This dataset contains the supplementary files accompanying Chapter 5 of the PhD thesis by Ema Gusheva, titled 'Model-policy interface: The use of computational models for climate change mitigation science and policymaking'. The chapter examines sampling variability in model intercomparison projects (MIPs), and the files provided here support the analyses presented therein. All code associated with this chapter is openly available at https://github.com/egusheva/Sampling-Variability-Analysis-MIPs. Users of this dataset are encouraged to consult the thesis chapter for full methodological details and context.