太阳辐射调整的部署长度:减缓、净负排放和气候不确定性的相互作用

Susanne Baur, A. Nauels, Zebedee R. J. Nicholls, B. Sanderson, C. Schleussner
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引用次数: 3

摘要

摘要越来越多的文献研究了太阳辐射改性(SRM)对全球和区域气候的影响。以往的研究都集中在SRM的潜力和副作用上,很少关注可能的部署时间表和逐步淘汰所需的二氧化碳去除水平。在这里,我们研究了SRM的部署时间表,以及它们如何受到不同缓解水平、净负排放(NNE)和气候不确定性的影响。我们生成了一个包含355种排放情景的大型数据集,其中部署了SRM以将变暖水平保持在1.5 ∘C全球平均气温。该集合的概率气候预测导致了一个大范围的合理未来升温和降温速率,从而导致了各种SRM部署时间尺度。在与推断的当前目标一致的所有途径中,SRM部署将超过100年,即使在关于气候响应的最乐观假设下也是如此。一旦超过温度阈值,无论是缓解措施还是NNE或气候敏感度都无法保证短的部署时间。由于SRM下的试验的演变,碳去除技术的可用性和气候可逆性的影响在其初始化时大多是未知的,因此无法预测SRM的临时部署会有多大。因此,SRM的任何部署都有多个世纪部署遗留的风险,这意味着成本的多代承诺,SRM和NNE结合的风险和负面副作用。
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The deployment length of solar radiation modification: an interplay of mitigation, net-negative emissions and climate uncertainty
Abstract. A growing body of literature investigates the effects of solar radiation modification (SRM) on global and regional climates. Previous studies have focused on the potentials and the side effects of SRM, with little attention being given to possible deployment timescales and the levels of carbon dioxide removal required for a phase out. Here, we investigate the deployment timescales of SRM and how they are affected by different levels of mitigation, net-negative emissions (NNEs) and climate uncertainty. We generate a large dataset of 355 emission scenarios in which SRM is deployed to keep warming levels at 1.5 ∘C global mean temperature. Probabilistic climate projections from this ensemble result in a large range of plausible future warming and cooling rates that lead to various SRM deployment timescales. In all pathways consistent with extrapolated current ambition, SRM deployment would exceed 100 years even under the most optimistic assumptions regarding climate response. As soon as the temperature threshold is exceeded, neither mitigation nor NNEs or climate sensitivity alone can guarantee short deployment timescales. Since the evolution of mitigation under SRM, the availability of carbon removal technologies and the effects of climate reversibility will be mostly unknown at its initialisation time, it is impossible to predict how temporary SRM deployment would be. Any deployment of SRM therefore comes with the risk of multi-century legacies of deployment, implying multi-generational commitments of costs, risks and negative side effects of SRM and NNEs combined.
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