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Using large ensembles of climate change mitigation scenarios for robust insights

Nature Climate Change volume 12, pages 428–435 (2022)Cite this article

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Abstract

As they gain new users, climate change mitigation scenarios are playing an increasing role in transitions to net zero. One promising practice is the analysis of scenario ensembles. Here we argue that this practice has the potential to bring new and more robust insights compared with the use of single scenarios. However, several important aspects have to be addressed. We identify key methodological challenges and the existing methods and applications that have been or can be used to address these challenges within a three-step approach: (1) pre-processing the ensemble; (2) selecting a few scenarios or analysing the full ensemble; and (3) providing users with efficient access to the information.

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Fig. 1: Overview of climate change mitigation scenarios and the diversification of their uses and users.
Fig. 2: Steps to use ensembles of scenarios.
Fig. 3: Methodological components to compile and pre-process scenario ensembles.
Fig. 4: Methodological components to single out scenarios.

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Acknowledgements

This work received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 821124 (NAVIGATE). R.S. also acknowledges funding received from Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Brazil, grant no. 310992/2020-6, and from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 821471 (ENGAGE). P.F. acknowledges funding from the CAMPAIGNers H2020 research project (grant agreement 101003815).

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Authors and Affiliations

  1. CIRED, Ecole des Ponts, Nogent-sur-Marne, France

    Céline Guivarch

  2. CIRED, CNRS, Nogent-sur-Marne, France

    Thomas Le Gallic

  3. Potsdam Institute for Climate Impact Research, Potsdam, Germany

    Nico Bauer & Elmar Kriegler

  4. E3-Modelling, Athens, Greece

    Panagiotis Fragkos

  5. International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria

    Daniel Huppmann, Tamás Krisztin, Keywan Riahi & Fabian Wagner

  6. Renewable Energy Systems group, University of Geneva, Geneva, Switzerland

    Marc Jaxa-Rozen & Evelina Trutnevyte

  7. Department of Mechanical Engineering, Aalto University, Espoo, Finland

    Ilkka Keppo

  8. RFF-CMCC European Institute on Economics and the Environment (EIEE), Centro Euro-Mediterraneo sui Cambiamenti Climatici, Milan, Italy

    Giacomo Marangoni & Massimo Tavoni

  9. UCL Energy Institute, University College London, London, UK

    Steve Pye

  10. COPPE, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil

    Roberto Schaeffer

  11. Department of Management, Economics and Industrial Engineering, Politecnico di Milano, Milan, Italy

    Massimo Tavoni

  12. PBL Netherlands Environmental Assessment Agency, The Hague, the Netherlands

    Detlef van Vuuren

  13. Utrecht University, Utrecht, the Netherlands

    Detlef van Vuuren

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  1. Céline Guivarch
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Contributions

C.G. led the work. C.G. and T.L.G. jointly prepared the manuscript and T.L.G. designed the figures. All authors contributed to the text.

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Correspondence to Céline Guivarch.

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Nature Climate Change thanks Ben Sanderson and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

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Supplementary Information

Illustrative cases of uses of climate mitigation ensembles (extended version of Table 1) and associated references.

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Guivarch, C., Le Gallic, T., Bauer, N. et al. Using large ensembles of climate change mitigation scenarios for robust insights. Nat. Clim. Chang. 12, 428–435 (2022). https://doi.org/10.1038/s41558-022-01349-x

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