Improving the use of evidence from climate models 2008-2013

Stainforth, David (2019). Improving the use of evidence from climate models 2008-2013. [Data Collection]. Colchester, Essex: UK Data Service. 10.5255/UKDA-SN-853918

Data description (abstract)

This project asks: what might we learn from today’s climate models? This is a tremendously important question for the social science of climate change. The evidence produced by complex computer simulation models has the capacity to make or break social scientific analysis, as well as the use of such information in decision-making by governments, businesses and households. The hope is that adaptation planning will be informed by these predictions. Where does the balance lie? The project is divided into two sections: i) Interpreting climate models: climate science (L.A.Smith and Piers Forster) This draws on computer science, physics and statistics to understand in detail the uncertainties in state-of-the-art climate models. ii) Interpreting climate models (N. Cartright) This applies the philosophy of science and the philosophy of social science to climate change modelling. It aims to understand and clarify the standards of evidence provided by climate models, linked to economic models, and to articulate the philosophical assumptions behind the predictive expectations projected on to these models. No data was generated in this project but secondary data was used.

Data creators:
Creator NameEmailAffiliationORCID (as URL)
Stainforth, School of Economics and Political Science
Sponsors: Economic and Social Research Council
Grant reference: RES-599-28-0001
Topic classification: Natural environment
Science and technology
Keywords: climate change, climate, simulation models
Project title: Centre for Climate Change Economics and Policy Phase 1: Project 1a Improving the use of evidence from climate models
Grant holders: Simon Dietz
Project dates:
1 October 200830 September 2013
Date published: 09 Sep 2019 12:55
Last modified: 09 Sep 2019 12:56

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