Dietz, Simon 
ORCID: 0000-0001-5002-018X
(2019)
CCCEP Phase 2: Climate change, non-linear systems and economic decisions 2013-2018.
[Dataset]
Abstract
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. DATA DESCRIPTION (ABSTRACT) 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".
| Item Type: | Dataset |
|---|---|
| Official URL: | http://reshare.ukdataservice.ac.uk/853390/ |
| Subjects: | G Geography. Anthropology. Recreation > GE Environmental Sciences H Social Sciences > HB Economic Theory |
| Date Deposited: | 13 Feb 2019 12:29 |
| Last Modified: | 13 Feb 2019 12:29 |
| Projects: | ES/K006576/1 |
| Funders: | Economic and Social Research Council |
| URI: | http://eprints.lse.ac.uk/id/eprint/100088 |
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