CCCEP Phase 2: Climate change, non-linear systems and economic decisions 2013-2018

DOI

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 data have been produced as part of project 4(b) of the ESRC Centre for Climate Change Economics and Policy (CCCEP), Phase 2, entitled "Climate change, non-linear systems and economic decisions".The ESRC Centre for Climate Change Economics and Policy (CCCEP) brings together some of the world’s leading researchers on climate change economics and policy, from many different disciplines. The Centre is hosted jointly by the University of Leeds and the London School of Economics and Political Science (LSE) and is chaired by Professor Lord Stern of Brentford. CCCEP was established in 2008 and its first phase ended on 30 September 2013. Its second phase commenced on 1 October 2013 and ended on 30 September 2018.

Numerical simulation modelling

Identifier
DOI https://doi.org/10.5255/UKDA-SN-853390
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=9abcdf3fb0623fd7c1f4b919e383cd5eff5d880cbdbfa52b64b9e990945dff2c
Provenance
Creator Dietz, S, London School of Economics and Political Science
Publisher UK Data Service
Publication Year 2019
Funding Reference Economic and Social Research Council
Rights Simon Dietz, London School of Economics and Political Science; The Data Collection is available to any user without the requirement for registration for download/access.
OpenAccess true
Representation
Resource Type Numeric
Discipline Economics; Social and Behavioural Sciences
Spatial Coverage Worldwide; World Wide