Climate model emulation in an integrated assessment framework: a case study for mitigation policies in the electricity sector
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 CO<sub>2</sub> concentrations of the...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2016-02-01
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Series: | Earth System Dynamics |
Online Access: | http://www.earth-syst-dynam.net/7/119/2016/esd-7-119-2016.pdf |
Summary: | 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 CO<sub>2</sub> concentrations of the Representative Concentration
Pathways when forced with the corresponding CO<sub>2</sub> emissions and
non-CO<sub>2</sub> 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 CO<sub>2</sub> concentration levels and
spatial temperature and precipitation response patterns resulting from
CO<sub>2</sub> 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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ISSN: | 2190-4979 2190-4987 |