Sensitivity of projected long-term CO2 emissions across the Shared Socioeconomic Pathways

被引:0
|
作者
Marangoni, G. [1 ,2 ,3 ]
Tavoni, M. [1 ,2 ,3 ]
Bosetti, V. [1 ,2 ,4 ]
Borgonovo, E. [4 ]
Capros, P. [5 ]
Fricko, O. [6 ]
Gernaat, D. E. H. J. [7 ,8 ]
Guivarch, C. [9 ,10 ]
Havlik, P. [6 ]
Huppmann, D. [6 ]
Johnson, N. [6 ]
Karkatsoulis, P. [5 ]
Keppo, I. [11 ]
Krey, V. [6 ]
Broin, E. O. [9 ]
Price, J. [11 ]
van Vuuren, D. P. [7 ,8 ]
机构
[1] FEEM, Corso Magenta 63, I-20123 Milan, Italy
[2] Ctr Euro Mediterraneo Cambiamenti Climat CMCC, Corso Magenta 63, I-20123 Milan, Italy
[3] Politecn Milan, Dept Management & Econ, Via Lambruschini 4-B, I-20156 Milan, Italy
[4] Bocconi Univ, Dept Econ, Via Roentgen 1, I-20136 Milan, Italy
[5] Natl Tech Univ Athens, Zografou Campus, GR-15773 Athens, Greece
[6] IIASA, Schlosspl 1, A-2361 Laxenburg, Austria
[7] PBL Netherlands Environm Assessment Agcy, Postbus 30314, NL-2500 GH The Hague, Netherlands
[8] Univ Utrecht, Copernicus Inst Sustainable Dev, Postbus 80-115, NL-3508 TC Utrecht, Netherlands
[9] CIRED, Campus Jardin Trop,45 Bis Ave Belle Gabrielle, F-94736 Nogent Sur Marne, France
[10] Ecole Ponts, 6-8 Ave Blaise Pascal, F-77455 Champs Sur Marne, France
[11] UCL, UCL Energy Inst, 14 Upper Woburn Pl, London WC1H 0NN, England
基金
欧洲研究理事会;
关键词
CUMULATIVE CARBON EMISSIONS; ASSESSMENT MODELS; CLIMATE; ENERGY; HELP;
D O I
10.1038/NCLIMATE3199
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
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 effciency, fossil fuel availability, andlow-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.
引用
收藏
页码:113 / +
页数:7
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