Can global models provide insights into regional mitigation strategies? A diagnostic model comparison study of bioenergy in Brazil

Alexandre C. Köberle (), Vassilis Daioglou, Pedro Rochedo, André F. P. Lucena, Alexandre Szklo, Shinichiro Fujimori, Thierry Brunelle, Etsushi Kato, Alban Kitous, Detlef P. Vuuren and Roberto Schaeffer
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Alexandre C. Köberle: Grantham Institute for Climate Change and the Environment, Imperial College London
Vassilis Daioglou: PBL Netherlands Environmental Assessment Agency
Pedro Rochedo: Universidade Federal Do Rio de Janeiro
André F. P. Lucena: Universidade Federal Do Rio de Janeiro
Alexandre Szklo: Universidade Federal Do Rio de Janeiro
Shinichiro Fujimori: Kyoto University
Thierry Brunelle: CIRAD, UMR CIRED
Etsushi Kato: The Institute of Applied Energy (IAE)
Alban Kitous: European Commission, Joint Research Centre (JRC)
Detlef P. Vuuren: PBL Netherlands Environmental Assessment Agency
Roberto Schaeffer: Universidade Federal Do Rio de Janeiro

Climatic Change, 2022, vol. 170, issue 1, No 3, 31 pages

Abstract: Abstract The usefulness of global integrated assessment model (IAM) results for policy recommendation in specific regions has not been fully assessed to date. This study presents the variation in results across models for a given region, and what might be behind this variation and how model assumptions and structures drive results. Understanding what drives the differences across model results is important for national policy relevance of global scenarios. We focus on the use of bioenergy in Brazil, a country expected to play an important role in future bioenergy production. We use results of the Stanford University Energy Modeling Forum’s 33rd Study (EMF-33) model comparison exercise to compare and assess projections of Brazil’s bioenergy pathways under climate mitigation scenarios to explore how 10 global IAMs compare to recent trends in the country. We find that, in their current form, global IAMs have limited potential to supply robust insights into regional mitigation strategies. Our results suggest fertile ground for a new research agenda to improve regional representation in global IAMs with improved spatial and technological resolutions.

Keywords: Integrated assessment models (IAMs); Global models; Regional mitigation strategies (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (4)

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DOI: 10.1007/s10584-021-03236-4

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