Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY 14853;
Department of Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA 91125.
Proc Natl Acad Sci U S A. 2019 Jan 22;116(4):1089-1094. doi: 10.1073/pnas.1811022116. Epub 2019 Jan 7.
The last decade has seen broad exploratory research into stratospheric aerosol (SA) geoengineering, motivated by concern that reducing greenhouse gas emissions may be insufficient to avoid significant impacts from climate change. Based on this research, it is plausible that a limited deployment of SA geoengineering, provided it is used in addition to cutting emissions, could reduce many climate risks for most people. However, "plausible" is an insufficient basis on which to support future decisions. Developing the necessary knowledge requires a transition toward mission-driven research that has the explicit goal of supporting informed decisions. We highlight two important observations that follow from considering such a comprehensive, prioritized natural-science research effort. First, while field experiments may eventually be needed to reduce some of the uncertainties, we expect that the next phase of research will continue to be primarily model-based, with one outcome being to assess and prioritize which uncertainties need to be reduced (and, as a corollary, which field experiments can reduce those uncertainties). Second, we anticipate a clear separation in scale and character between small-scale experimental research to resolve specific process uncertainties and global-scale activities. We argue that the latter, even if the radiative forcing is negligible, should more appropriately be considered after a decision regarding whether and how to deploy SA geoengineering, rather than within the scope of "research" activities.
在过去的十年中,人们对平流层气溶胶(SA)地球工程进行了广泛的探索性研究,这主要是因为人们担心减少温室气体排放可能不足以避免气候变化带来的重大影响。基于这项研究,假设在减少排放的基础上,有限地部署 SA 地球工程,可能会降低大多数人面临的许多气候风险。然而,“合理”不足以作为支持未来决策的依据。为了发展必要的知识,需要向以任务为导向的研究转变,其明确目标是支持知情决策。我们强调了考虑到这种全面、优先的自然科学研究工作后得出的两个重要观察结果。首先,虽然最终可能需要进行现场实验来降低一些不确定性,但我们预计下一阶段的研究将继续主要基于模型,其中一个结果是评估和优先考虑需要降低哪些不确定性(以及作为推论,哪些现场实验可以降低这些不确定性)。其次,我们预计在决定是否以及如何部署 SA 地球工程之后,才应考虑开展小规模实验研究以解决具体过程不确定性和全球规模活动之间的明显分离,而不是在“研究”活动的范围内。