G2TT
来源类型Journal Article
规范类型论文
Monetizing the Value of Measurements of Equilibrium Climate Sensitivity Using the Social Cost of Carbon
Roger Cooke; Alexander Golub; Bruce Wielicki; Martin Mlynczak; David Young; Rosemary Rallo Baize
发表日期2019-03-29
出版年2019
语种英语
摘要There has been much work on the value of learning about climate and the value of information regarding the climatic system. The present research moves beyond an abstract hypothesis about future learning and considers concrete Earth Observing Systems that could enhance knowledge of the climatic system and better inform decision makers. This study shows how real options theory in combination with the social cost of carbon may help to calculate the value of information regarding equilibrium climate sensitivity and estimate the relative advantages of two different Earth Observing Systems (EOSs) for learning about ECS. One system aims to improve measurements of decadal global temperature increase and another targets measurements of decadal change of global cloud radiative effect. The paper concludes that a new EOS that substantially reduces the uncertainty in cloud radiative effect would be expected to have more value than improving estimations of the global surface temperature alone.
主题Social Cost of Carbon,Risk Analysis and Uncertainty,VALUABLES
URLhttps://www.rff.org/publications/journal-articles/monetizing-value-measurements-equilibrium-climate-sensitivity-using-social-cost-carbon/
来源智库Resources for the Future (United States)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/588175
推荐引用方式
GB/T 7714
Roger Cooke,Alexander Golub,Bruce Wielicki,et al. Monetizing the Value of Measurements of Equilibrium Climate Sensitivity Using the Social Cost of Carbon. 2019.
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