RECCAP2 Future Component: Consistency and Potential for Regional Assessment to Constrain Global Projections

IF 8.3 Q1 GEOSCIENCES, MULTIDISCIPLINARY AGU Advances Pub Date : 2023-11-07 DOI:10.1029/2023AV001024
Chris D. Jones, Tilo Ziehn, Jatin Anand, Ana Bastos, Eleanor Burke, Josep G. Canadell, Manoel Cardoso, Yolandi Ernst, Atul K. Jain, Sujong Jeong, Elizabeth D. Keller, Masayuki Kondo, Ronny Lauerwald, Tzu-Shun Lin, Guillermo Murray-Tortarolo, Gert-Jan Nabuurs, Mike O’Sullivan, Ben Poulter, Xiaoyu Qin, Celso von Randow, Marcos Sanches, Dmitry Schepaschenko, Anatoly Shvidenko, T. Luke Smallman, Hanqin Tian, Yohanna Villalobos, Xuhui Wang, Jeongmin Yun
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Abstract

Projections of future carbon sinks and stocks are important because they show how the world's ecosystems will respond to elevated CO2 and changes in climate. Moreover, they are crucial to inform policy decisions around emissions reductions to stay within the global warming levels identified by the Paris Agreement. However, Earth System Models from the 6th Coupled Model Intercomparison Project (CMIP6) show substantial spread in future projections—especially of the terrestrial carbon cycle, leading to a large uncertainty in our knowledge of any remaining carbon budget (RCB). Here we evaluate the global terrestrial carbon cycle projections on a region-by-region basis and compare the global models with regional assessments made by the REgional Carbon Cycle Assessment and Processes, Phase 2 activity. Results show that for each region, the CMIP6 multi-model mean is generally consistent with the regional assessment, but substantial cross-model spread exists. Nonetheless, all models perform well in some regions and no region is without some well performing models. This gives confidence that the CMIP6 models can be used to look at future changes in carbon stocks on a regional basis with appropriate model assessment and benchmarking. We find that most regions of the world remain cumulative net sources of CO2 between now and 2100 when considering the balance of fossil-fuels and natural sinks, even under aggressive mitigation scenarios. This paper identifies strengths and weaknesses for each model in terms of its performance over a particular region including how process representation might impact those results and sets the agenda for applying stricter constraints at regional scales to reduce the uncertainty in global projections.

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RECCAP2未来组成部分:区域评估约束全球预测的一致性和潜力
对未来碳汇和碳储量的预测很重要,因为它们显示了世界生态系统将如何应对二氧化碳浓度升高和气候变化。此外,它们对于制定有关减排的政策决策至关重要,以将全球变暖水平控制在《巴黎协定》确定的范围内。然而,来自第六次耦合模式比对项目(CMIP6)的地球系统模型显示,在未来的预测中,特别是陆地碳循环的预测,存在很大的不确定性,导致我们对任何剩余碳预算(RCB)的了解存在很大的不确定性。在此,我们对全球陆地碳循环预测进行了逐区域评估,并将全球模型与区域碳循环评估和过程第二阶段活动的区域评估进行了比较。结果表明,各区域CMIP6多模式均值与区域评价基本一致,但存在较大的跨模式差异。尽管如此,所有的模型在某些地区都表现良好,没有哪个地区没有一些表现良好的模型。这使人们相信,CMIP6模型可以通过适当的模型评估和基准,在区域基础上观察碳储量的未来变化。我们发现,考虑到化石燃料和自然汇的平衡,即使在积极的减缓情景下,从现在到2100年,世界上大多数地区仍然是二氧化碳的累积净来源。本文根据其在特定区域的表现确定了每个模型的优缺点,包括过程表示如何影响这些结果,并为在区域尺度上应用更严格的约束来减少全球预测的不确定性设定了议程。
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