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On the Attribution of a Single Event to Climate Change

descriptionPublicationkeyboard_double_arrow_right Article , Journal 04 Nov 2014 Germany, United States Publisher:American Meteorological SocietyJournal:Journal of Climate, volume 27, pages 8,297-8,301 (issn: 0894-8755, eissn: 1520-0442,

Authors: Hansen, Gerrit; Auffhammer, Maximilian; Solow, Andrew R.;

doi: 10.1175/jcli-d-14-00399.1

handle: 1912/6994

On the Attribution of a Single Event to Climate Change

- Summary
- Subjects
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Abstract

AbstractThere is growing interest in assessing the role of climate change in observed extreme weather events. Recent work in this area has focused on estimating a measure called attributable risk. A statistical formulation of this problem is described and used to construct a confidence interval for attributable risk. The resulting confidence is shown to be surprisingly wide even in the case where the event of interest is unprecedented in the historical record.

Countries

Germany, United States

Related Organizations

Potsdam Institute for Climate Impact Research
Germany
University of California, Berkeley
United States
University of California System
United States
National Bureau of Economic Research
United States
Potsdam-Institut für Klimafolgenforschung (Potsdam Institute for Climate Impact Research)
Germany

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Keywords

Climate Action, Geomatic Engineering, Statistics, Climate change, Meteorology & Atmospheric Sciences, Oceanography, Atmospheric Sciences

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).	20
	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%