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Climate sensitivity uncertainty and the necessity to transform global energy supply

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 Nov 2006 Netherlands, United Kingdom, Netherlands Publisher:Elsevier BVJournal:Energy, volume 31, pages 2,571-2,587 (issn: 0360-5442,

Authors: Bob van der Zwaan; Bob van der Zwaan; Reyer Gerlagh;

doi: 10.1016/j.energy.2005.11.014

handle: 1871/31937

Climate sensitivity uncertainty and the necessity to transform global energy supply

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Abstract

This paper analyses the policy relevance of the dominant uncertainty in our current scientific understanding of the terrestrial climate system, and provides further evidence for the need to radically transform-this century-our global energy supply infrastructure, given the global average temperature increase as a result of anthropogenic carbon dioxide (CO

Countries

Netherlands, United Kingdom, Netherlands

Related Organizations

Harvard University
United States
Vrije Universiteit Amsterdam
Netherlands
Energy Research Centre of the Netherlands
Netherlands
Free University of Amsterdam Pure VU Amsterdam
Netherlands
Energy Research Centre of the Netherlands
Netherlands

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Keywords

Global warming, Carbon-free power, Fossil to non-fossil transition, Energy savings, Climate sensitivity, SDG 13 - Climate Action, CO 2 emissions

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	29
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%