G2TT
来源类型External Publications
规范类型其他
Sensitivity of projected long-term CO2 emissions across the Shared Socio-economic Pathways
G. Marangoni; M. Tavoni; V. Bosetti; E. Borgonovo; P. Capros; O. Fricko; D. E. H. J. Gernaat; C. Guivarch; P. Havlik; D. Huppmann; N. Johnson; P. Karkatsoulis; I. Keppo; V. Krey; E. Ó Broin; J. Price & D. P. van Vuuren
发表日期2017
出版年2017
语种英语
摘要Scenarios showing future greenhouse gas emissions are needed to estimate climate impacts and the mitigation efforts required for climate stabilization. Recently, the Shared Socioeconomic Pathways (SSPs) have been introduced to describe alternative social, economic and technical narratives, spanning a wide range of plausible futures in terms of challenges to mitigation and adaptation1. Thus far the key drivers of the uncertainty in emissions projections have not been robustly disentangled. Here we assess the sensitivities of future CO2 emissions to key drivers characterizing the SSPs. We use six state-of-the-art integrated assessment models with different structural characteristics, and study the impact of five families of parameters, related to population, income, energy efficiency, fossil fuel availability, and low-carbon energy technology development. A recently developed sensitivity analysis algorithm2 allows us to parsimoniously compute both the direct and interaction effects of each of these drivers on cumulative emissions. The study reveals that the SSP assumptions about energy intensity and economic growth are the most important determinants of future CO2 emissions from energy combustion, both with and without a climate policy. Interaction terms between parameters are shown to be important determinants of the total sensitivities.
URLhttps://www.feem.it/en/publications/external-publications/sensitivity-of-projected-long-term-co2-emissions-across-the-shared-socio-economic-pathways/
来源智库Fondazione Eni Enrico Mattei (Italy)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/118733
推荐引用方式
GB/T 7714
G. Marangoni,M. Tavoni,V. Bosetti,et al. Sensitivity of projected long-term CO2 emissions across the Shared Socio-economic Pathways. 2017.
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