globalchange  > 气候减缓与适应
DOI: 10.1016/j.envsoft.2018.08.019
WOS记录号: WOS:000451631300021
论文题名:
Inside the Black Box: Understanding key drivers of global emission scenarios
作者: Koomey, Jonathan1; Schmidt, Zachary2; Hummel, Holmes3; Weyant, John4
通讯作者: Koomey, Jonathan
刊名: ENVIRONMENTAL MODELLING & SOFTWARE
ISSN: 1364-8152
EISSN: 1873-6726
出版年: 2019
卷: 111, 页码:268-281
语种: 英语
英文关键词: Greenhouse-gas emissions scenarios ; Integrated assessment models ; Climate change ; Decomposition methods
WOS关键词: CLIMATE-CHANGE ; ENERGY ; CO2 ; CAPTURE ; POLICY ; PROJECTIONS ; STORAGE ; MODELS
WOS学科分类: Computer Science, Interdisciplinary Applications ; Engineering, Environmental ; Environmental Sciences
WOS研究方向: Computer Science ; Engineering ; Environmental Sciences & Ecology
英文摘要:

Technology and policy implications of global energy and emissions scenarios can be difficult to analyze because underlying assumptions and drivers of scenarios are rarely made explicit. This article documents methods for standardizing emissions scenario results that can be applied to virtually any scenario, enabling more meaningful comparisons among scenarios than has been possible in the past.


This approach uses charts showing the dynamics and effects of emission drivers, mitigation technologies, and policies. Applying these methods will enable the policy and research communities to better understand the implications of scenarios, and help analysts learn more rapidly. As a matter of good practice, modelers should create decompositions like the ones put forth in this article, policy makers should request them, and funders of scenario analysis and sponsors of model comparisons should support the application and further development of such tools.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/127569
Appears in Collections:气候减缓与适应

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作者单位: 1.Koomey Analyt, POB 1545, Burlingame, CA 94011 USA
2.Koomey Analyt, Bay Area, CA USA
3.Clean Energy Works, Washington, DC USA
4.Stanford Univ, Energy Modeling Forum, Stanford, CA 94305 USA

Recommended Citation:
Koomey, Jonathan,Schmidt, Zachary,Hummel, Holmes,et al. Inside the Black Box: Understanding key drivers of global emission scenarios[J]. ENVIRONMENTAL MODELLING & SOFTWARE,2019-01-01,111:268-281
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