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Feasibility of peak temperature targets in light of institutional constraints

  • Christoph Bertram*
  • , Elina Brutschin
  • , Laurent Drouet
  • , Gunnar Luderer
  • , Bas van Ruijven
  • , Lara Aleluia Reis
  • , Luiz Bernardo Baptista
  • , Harmen Sytze de Boer
  • , Ryna Cui
  • , Vassilis Daioglou
  • , Florian Fosse
  • , Dimitris Fragkiadakis
  • , Oliver Fricko
  • , Shinichiro Fujimori
  • , Nate Hultman
  • , Gokul Iyer
  • , Kimon Keramidas
  • , Volker Krey
  • , Elmar Kriegler
  • , Robin D. Lamboll
  • Rahel Mandaroux, Pedro Rochedo, Joeri Rogelj, Roberto Schaeffer, Diego Silva, Isabela Tagomori, Detlef van Vuuren, Zoi Vrontisi, Keywan Riahi
*Corresponding author for this work
  • University of Maryland, College Park
  • Leibniz Association
  • International Institute for Applied Systems Analysis, Laxenburg
  • Euro-Mediterranean Center on Climate Change
  • Technical University of Berlin
  • IIASA - International Institute for Applied Systems Analysis
  • Universidade Federal do Rio de Janeiro
  • Netherlands Assessment Agency (PBL)
  • European Commission Joint Research Centre Institute
  • E3Modelling
  • Kyoto University
  • National Institute for Environmental Studies of Japan
  • Université Grenoble Alpes
  • University of Potsdam
  • Imperial College London
  • Khalifa University of Science and Technology
  • Netherland’s Environmental Agency (PBL)
  • Graz University of Technology

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

Despite faster-than-expected progress in clean energy technology deployment, global annual CO2 emissions have increased from 2020 to 2023. The feasibility of limiting warming to 1.5 °C is therefore questioned. Here we present a model intercomparison study that accounts for emissions trends until 2023 and compares cost-effective scenarios to alternative scenarios with institutional, geophysical and technological feasibility constraints and enablers informed by previous literature. Our results show that the most ambitious mitigation trajectories with updated climate information still manage to limit peak warming to below 1.6 °C (‘low overshoot’) with around 50% likelihood. However, feasibility constraints, especially in the institutional dimension, decrease this maximum likelihood considerably to 5–45%. Accelerated energy demand transformation can reduce costs for staying below 2 °C but have only a limited impact on further increasing the likelihood of limiting warming to 1.6 °C. Our study helps to establish a new benchmark of mitigation scenarios that goes beyond the dominant cost-effective scenario design.

Original languageEnglish
Pages (from-to)954-960
Number of pages7
JournalNature Climate Change
Volume14
Issue number9
Early online date12 Aug 2024
DOIs
Publication statusPublished - Sept 2024

Bibliographical note

Publisher Copyright:
© The Author(s) 2024. corrected publication 2024.

Funding

This research received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement number 821471 (ENGAGE) (C.B., E.B., L.D., G.L., B.v.R., L.A.R., L.B.B., H.-S.d.B., R.C., V.D., F.F., D.F., O.F., S.F., N.H., G.I., K.K., V.K., E.K., R.D.L., R.M., P.R., J.R., R.S., D.S., I.T., D.v.V., Z.V., K.R.). We thank A. Cherp for permission to use Fig. 2, the entire modelling teams for the development of the used IAMs and participants of the IAMC 2023 conference for helpful feedback. S.F. and D.S. are supported by the Environment Research and Technology Development Fund (JPMEERF20241001) of the Environmental Restoration and Conservation Agency of Japan and JST ASPIRE project grant number JPMJAP2331.DAS:The underlying data are available via Zenodo at https://doi.org/10.5281/zenodo.11562539 (ref. 61). All scenarios are made accessible online also via the ENGAGE Scenario Portal at https://data.ece.iiasa.ac.at/engage.

FundersFunder number
European Commission (EC)821471
European UnionJPMEERF20241001
Environment Research and Technology Development Fund
Environmental Restoration and Conservation Agency of JapanJPMJAP2331
JST ASPIRE project

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy
    2. SDG 13 - Climate Action
      SDG 13 Climate Action

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