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Volume 7, issue 1
Earth Syst. Dynam., 7, 119-132, 2016
https://doi.org/10.5194/esd-7-119-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Social dynamics and planetary boundaries in Earth system...

Earth Syst. Dynam., 7, 119-132, 2016
https://doi.org/10.5194/esd-7-119-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 15 Feb 2016

Research article | 15 Feb 2016

Climate model emulation in an integrated assessment framework: a case study for mitigation policies in the electricity sector

A. M. Foley1,a, P. B. Holden2, N. R. Edwards2, J.-F. Mercure1,b, P. Salas1, H. Pollitt3, and U. Chewpreecha3 A. M. Foley et al.
  • 1Cambridge Centre for Climate Change Mitigation Research, Department of Land Economy, University of Cambridge, 19 Silver Street, Cambridge, CB3 9EP, UK
  • 2Environment, Earth and Ecosystems, Open University, Milton Keynes, MK7 6AA, UK
  • 3Cambridge Econometrics Ltd, Covent Garden, Cambridge, CB1 2HT, UK
  • anow at: Department of Geography, Environment and Development Studies, Birkbeck, University of London, 32 Tavistock Square, London, WC1H 9EZ, UK
  • bnow at: Department of Environmental Sciences, Radboud University, Nijmegen, the Netherlands

Abstract. We present a carbon-cycle–climate modelling framework using model emulation, designed for integrated assessment modelling, which introduces a new emulator of the carbon cycle (GENIEem). We demonstrate that GENIEem successfully reproduces the CO2 concentrations of the Representative Concentration Pathways when forced with the corresponding CO2 emissions and non-CO2 forcing. To demonstrate its application as part of the integrated assessment framework, we use GENIEem along with an emulator of the climate (PLASIM-ENTSem) to evaluate global CO2 concentration levels and spatial temperature and precipitation response patterns resulting from CO2 emission scenarios. These scenarios are modelled using a macroeconometric model (E3MG) coupled to a model of technology substitution dynamics (FTT), and represent different emissions reduction policies applied solely in the electricity sector, without mitigation in the rest of the economy. The effect of cascading uncertainty is apparent, but despite uncertainties, it is clear that in all scenarios, global mean temperatures in excess of 2°C above pre-industrial levels are projected by the end of the century. Our approach also highlights the regional temperature and precipitation patterns associated with the global mean temperature change occurring in these scenarios, enabling more robust impacts modelling and emphasizing the necessity of focusing on spatial patterns in addition to global mean temperature change.

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We introduce GENIEem-PLASIM-ENTSem (GPem), a climate-carbon cycle emulator, showing how model emulation can be used in integrated assessment modelling to resolve regional climate impacts and systematically capture uncertainty. In a case study, we couple GPem to FTT:Power-E3MG, a non-equilibrium economic model with technology diffusion. We find that when the electricity sector is decarbonised by 90 %, further emissions reductions must be achieved in other sectors to avoid dangerous climate change.
We introduce GENIEem-PLASIM-ENTSem (GPem), a climate-carbon cycle emulator, showing how model...
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