A perspective on the next generation of Earth system model scenarios: Towards representative emission pathways (REPs)

Malte Meinshausen*, Carl Friedrich Schleussner*, Kathleen Beyer, Greg Bodeker, Olivier Boucher, Josep G. Canadell, John S. Daniel, Aïda Diongue-Niang, Fatima Driouech, Erich Fischer, Piers Forster, Michael Grose, Gerrit Hansen, Zeke Hausfather, Tatiana Ilyina, Jarmo S. Kikstra, Joyce Kimutai, Andrew D. King, June Yi Lee, Chris LennardTabea Lissner, Alexander Nauels, Glen P. Peters, Anna Pirani, Gian Kasper Plattner, Hans Pörtner, Joeri Rogelj, Maisa Rojas, Joyashree Roy, Bjørn H. Samset, Benjamin M. Sanderson, Roland Séférian, Sonia Seneviratne, Christopher J. Smith, Sophie Szopa, Adelle Thomas, Diana Urge-Vorsatz, Guus J.M. Velders, Tokuta Yokohata, Tilo Ziehn, Zebedee Nicholls

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

Abstract

In every Intergovernmental Panel on Climate Change (IPCC) Assessment cycle, a multitude of scenarios are assessed, with different scope and emphasis throughout the various Working Group reports and special reports, as well as their respective chapters. Within the reports, the ambition is to integrate knowledge on possible climate futures across the Working Groups and scientific research domains based on a small set of "framing pathways"such as the so-called representative concentration pathways (RCPs) in the Fifth IPCC Assessment Report (AR5) and the shared socioeconomic pathway (SSP) scenarios in the Sixth Assessment Report (AR6). This perspective, initiated by discussions at the IPCC Bangkok workshop in April 2023 on the "Use of Scenarios in AR6 and Subsequent Assessments", is intended to serve as one of the community contributions to highlight the needs for the next generation of framing pathways that is being advanced under the Coupled Model Intercomparison Project (CMIP) umbrella, which will influence or even predicate the IPCC AR7 consideration of framing pathways. Here we suggest several policy research objectives that such a set of framing pathways should ideally fulfil, including mitigation needs for meeting the Paris Agreement objectives, the risks associated with carbon removal strategies, the consequences of delay in enacting that mitigation, guidance for adaptation needs, loss and damage, and for achieving mitigation in the wider context of societal development goals. Based on this context, we suggest that the next generation of climate scenarios for Earth system models should evolve towards representative emission pathways (REPs) and suggest key categories for such pathways. These framing pathways should address the most critical mitigation policy and adaptation plans that need to be implemented over the next 10 years. In our view, the most important categories are those relevant in the context of the Paris Agreement long-term goal, specifically an immediate action (low overshoot) 1.5ĝ€¯°C pathway and a delayed action (high overshoot) 1.5ĝ€¯°C pathway. Two other key categories are a pathway category approximately in line with current (as expressed by 2023) near- and long-term policy objectives, as well as a higher-emission category that is approximately in line with "current policies"(as expressed by 2023). We also argue for the scientific and policy relevance in exploring two "worlds that could have been". One of these categories has high-emission trajectories well above what is implied by current policies and the other has very-low-emission trajectories which assume that global mitigation action in line with limiting warming to 1.5ĝ€¯°C without overshoot had begun in 2015. Finally, we note that the timely provision of new scientific information on pathways is critical to inform the development and implementation of climate policy. Under the Paris Agreement, for the second global stocktake, which will occur in 2028, and to inform subsequent development of nationally determined contributions (NDCs) up to 2040, scientific inputs are required by 2027. These needs should be carefully considered in the development timeline of community modelling activities, including those under CMIP7.

Original languageEnglish
Pages (from-to)4533-4559
Number of pages27
JournalGeoscientific Model Development
Volume17
Issue number11
DOIs
Publication statusPublished - 5 Jun 2024

Bibliographical note

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Funding

This research has been supported by the EU Horizon 2020 programme (grant nos. 101003687, 821003, 101056306 and 101003536) and the Australian National Environmental Science Program - Climate Systems Hub. The authors thank Matthew Gidden, Alaa Al Khourdajie, Hideo Shiogama, Janna Sillmann, Anna Zehrung and other valued colleagues for very helpful comments on an earlier draft. Carl-Friedrich Schleussner, Benjamin M. Sanderson, Adelle Thomas, Sophie Szopa and Joeri Rogeli acknowledge funding from the European Union's Horizon 2020 research and innovation programmes under grant agreement no. 101003687 (PROVIDE). Glen P. Peters acknowledges funding from the European Union's Horizon 2020 research and innovation programmes under grant agreement no. 821003 (4C) and the European Union's Horizon Europe Research and Innovation Programme under grant agreement no. 101056306 (IAM COMPACT). Roland S\u00E9f\u00E9rian and Zebedee Nicholls acknowledge funding from the European Union's Horizon 2020 research and innovation programmes under grant agreement no. 101003536 (ESM2025). Malte Meinshausen, Andrew D. King, Josep G. Canadell and Tilo Ziehn acknowledge funding from the Australian National Environmental Science Program \u2013 Climate Systems Hub. This research has been supported by the EU Horizon 2020 programme (grant nos. 101003687, 821003, 101056306 and 101003536) and the Australian National Environmental Science Program \u2013 Climate Systems Hub. This open-access publication was funded by the Humboldt-Universit\u00E4t zu Berlin.

FundersFunder number
Australian National Environmental Science Program
European Commission
Horizon 2020 Framework Programme101056306, 821003, 101003687
Horizon 2020 Framework Programme
European Union's Horizon Europe research and innovation programmeESM2025, 101056306, 101003536

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