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    Rights statement: This is the author’s version of a work that was accepted for publication in Environmental Modelling & Software. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Environmental Modelling & Software, 111, 2018 DOI: 10.1016/j.envsoft.2018.05.010

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Producing Policy-relevant Science by Enhancing Robustness and Model Integration for the Assessment of Global Environmental Change

Research output: Contribution to journalJournal article

Published
  • R.F Warren
  • N.R Edwards
  • F. Barbonneau
  • P.M Bacon
  • J.P. Dietrich
  • R. W. Ford
  • Paul Garthwaite
  • Dieter Gerten
  • S. Goswami
  • A. Haurie
  • Kevin Hiscock
  • Philip Holden
  • M. R. Hyde
  • S. R. Joshi
  • A. Kanudia
  • M. Labriet
  • M. Liembach
  • T. Osborn
  • B. Pizzileo
  • A. Popp
  • J. Price
  • G. Riley
  • Sibyll Schaphoff
  • P. Slavin
  • M. Vielle
  • C. Wallace
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<mark>Journal publication date</mark>01/2019
<mark>Journal</mark>Environmental Modelling and Software
Volume111
Number of pages11
Pages (from-to)248-258
Publication statusPublished
Early online date4/06/18
Original languageEnglish

Abstract

We use the flexible model coupling technology known as the bespoke framework generator to link established existing modules representing dynamics in the global economy (GEMINI_E3), the energy system (TIAM-WORLD), the global and regional climate system (MAGICC6, PLASIM-ENTS and ClimGEN), the agricultural system, the hydrological system and ecosystems (LPJmL), together in a single integrated assessment modelling (IAM) framework, building on the pre-existing framework of the Community Integrated Assessment System. Next, we demonstrate the application of the framework to produce policy-relevant scientific information. We use it to show that when using carbon price mechanisms to induce a transition from a high-carbon to a low-carbon economy, prices can be minimised if policy action is taken early, if burden sharing regimes are used, and if agriculture is intensified. Some of the coupled models have been made available for use at a secure and user-friendly web portal.

Bibliographic note

This is the author’s version of a work that was accepted for publication in Environmental Modelling & Software. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Environmental Modelling & Software, 111, 2018 DOI: 10.1016/j.envsoft.2018.05.010