Producing climate information and managing climate risk both require a conceptual understanding of the transient behaviour of non-linear systems under time-dependent forcing, of the implications of non-linearity for the interpretation of imperfect models, and of the consequences of non-linearity for economic and policy decisions. This project was an end-to-end study of the implications of non-linearities in climate change, through an inter-disciplinary collaboration between scholars in philosophy, non-linear systems theory, climate modelling and economics. Here we offer two sets of code to run extended versions of the DICE integrated assessment model, as well as an ensemble of simulations from the FAMOUS general circulation model. These dat...