透视下一代地球系统模式假设:走向代表性排放路径 (REP)

IF 4 3区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Geoscientific Model Development Pub Date : 2024-06-05 DOI:10.5194/gmd-17-4533-2024
M. Meinshausen, C. Schleussner, Kathleen Beyer, Greg Bodeker, Olivier Boucher, J. Canadell, John S. Daniel, Aïda Diongue-Niang, Fatima Driouech, Erich Fischer, P. Forster, Michael Grose, Gerrit Hansen, Z. Hausfather, T. Ilyina, J. Kikstra, Joyce Kimutai, A. King, June-Yi Lee, Chris Lennard, T. Lissner, A. Nauels, Glen P. Peters, Anna Pirani, G. Plattner, Hans-Ove Pörtner, J. Rogelj, Maisa Rojas, Joyashree Roy, B. Samset, Benjamin M. Sanderson, R. Séférian, S. Seneviratne, Christopher J. Smith, S. Szopa, Adelle Thomas, D. Urge-Vorsatz, G. Velders, T. Yokohata, T. Ziehn, Zebedee R. J. Nicholls
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引用次数: 3

摘要

摘要。在政府间气候变化专门委员会(IPCC)的每个评估周期中,都会对多种情景进行评估,各工作组报告和特别报告及其各自章节的范围和重点各不相同。在这些报告中,我们的目标是在一小套 "框架路径 "的基础上,整合各工作组和科研领域对可能的气候未来的认识,如第五次政府间气候变化专门委员会评估报告(AR5)中的所谓代表性浓度路径(RCPs)和第六次评估报告(AR6)中的共享社会经济路径(SSP)情景。本视角由 2023 年 4 月 IPCC 曼谷研讨会上关于 "在 AR6 及后续评估中使用情景 "的讨论发起,旨在作为社区贡献之一,强调在耦合模式相互比较项目(CMIP)框架下正在推进的下一代框架路径的需求,这将影响甚至预示 IPCC AR7 对框架路径的考虑。在此,我们提出了一系列政策研究目标,理想情况下,这套框架路径应满足这些目标,包括实现《巴黎协定》目标的减排需求、与碳清除战略相关的风险、延迟实施减排的后果、对适应需求、损失和损害的指导,以及在更广泛的社会发展目标背景下实现减排。基于这一背景,我们建议地球系统模式的下一代气候情景应朝着代表性排放路径(REP)方向发展,并提出了此类路径的关键类别。这些路径框架应涉及未来 10 年需要实施的最关键的减缓政策和适应计划。我们认为,最重要的类别是与《巴黎协定》长期目标相关的类别,特别是立即行动(低过冲)1.5 °C路径和延迟行动(高过冲)1.5 °C路径。另外两个关键类别是大致符合当前(截至 2023 年)近期和长期政策目标的路径类别,以及大致符合 "当前政策"(截至 2023 年)的高排放类别。我们还论证了探索两个 "可能的世界 "的科学和政策相关性。其中一个类别的高排放轨迹远高于当前政策所暗示的水平,而另一个类别的极低排放轨迹则假定全球减缓行动从 2015 年开始,将升温控制在 1.5 °C,且不出现超调。最后,我们注意到,及时提供有关路径的新科学信息对于制定和实施气候政策至关重要。根据《巴黎协定》,为了在 2028 年进行第二次全球评估,并为随后制定直至 2040 年的国家确定的贡献(NDCs)提供信息,需要在 2027 年之前提供科学投入。在制定社区建模活动(包括 CMIP7 下的建模活动)的时间表时,应认真考虑这些需求。
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A perspective on the next generation of Earth system model scenarios: towards representative emission pathways (REPs)
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) 1.5 °C pathway and a delayed action (high overshoot) 1.5 °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 1.5 °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.
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来源期刊
Geoscientific Model Development
Geoscientific Model Development GEOSCIENCES, MULTIDISCIPLINARY-
CiteScore
8.60
自引率
9.80%
发文量
352
审稿时长
6-12 weeks
期刊介绍: Geoscientific Model Development (GMD) is an international scientific journal dedicated to the publication and public discussion of the description, development, and evaluation of numerical models of the Earth system and its components. The following manuscript types can be considered for peer-reviewed publication: * geoscientific model descriptions, from statistical models to box models to GCMs; * development and technical papers, describing developments such as new parameterizations or technical aspects of running models such as the reproducibility of results; * new methods for assessment of models, including work on developing new metrics for assessing model performance and novel ways of comparing model results with observational data; * papers describing new standard experiments for assessing model performance or novel ways of comparing model results with observational data; * model experiment descriptions, including experimental details and project protocols; * full evaluations of previously published models.
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