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.
1.Univ East Anglia, Tyndall Ctr Climate Change Res, Norwich NR4 7TJ, Norfolk, England 2.Univ East Anglia, Sch Environm Sci, Norwich NR4 7TJ, Norfolk, England 3.Open Univ, Environm Earth & Ecosyst, Walton Hall, Milton Keynes MK7 6AA, Bucks, England 4.ORDECSYS SARL, Pl Etrier 4, CH-1224 Geneva, Switzerland 5.Ecole Polytech Fed Lausanne, Lab Environm & Urban Econ LEURE, ENAC, INTER,REME, BP 2140,Stn 16, CH-1015 Lausanne, Switzerland 6.Leibniz Assoc, Potsdam Inst Climate Impact Res PIK, Potsdam, Germany 7.TFC Daresbury Lab, Warrington, Cheshire, England 8.KanORS EMR, Noida, India 9.Eneris Environm Energy Consultants, Madrid, Spain 10.Univ Manchester, Sch Comp Sci, Manchester, Lancs, England 11.Adolfo Ibanez Univ, Business Sch, Santiago, Chile 12.Humboldt Univ, Geog Dept, D-10099 Berlin, Germany 13.Univ Lancaster, Dept Math & Stat, Lancaster LA1 4YF, England 14.Univ East Anglia, Sch Environm Sci, Climat Res Unit, Norwich NR4 7TJ, Norfolk, England
Recommended Citation:
Warren, R. F.,Edwards, N. R.,Babonneau, F.,et al. Producing Policy-relevant Science by Enhancing Robustness and Model Integration for the Assessment of Global Environmental Change[J]. ENVIRONMENTAL MODELLING & SOFTWARE,2019-01-01,111:248-258