Probabilistic cost estimates for climate change mitigation

被引：0

作者：

Joeri Rogelj

David L. McCollum

Andy Reisinger

Malte Meinshausen

Keywan Riahi

机构：

[1] Institute for Atmospheric and Climate Science,

[2] ETH Zurich,undefined

[3] Universitätstrasse 16,undefined

[4] International Institute for Applied Systems Analysis (IIASA),undefined

[5] New Zealand Agricultural Greenhouse Gas Research Centre,undefined

[6] Private Bag 11008,undefined

[7] Palmerston North 4442,undefined

[8] New Zealand ,undefined

[9] School of Earth Sciences,undefined

[10] University of Melbourne,undefined

[11] PRIMAP Group,undefined

[12] Potsdam Institute for Climate Impact Research,undefined

[13] PO Box 60 12 03,undefined

[14] 14412 Potsdam,undefined

[15] Germany ,undefined

[16] Graz University of Technology,undefined

来源：

Nature | 2013年 / 493卷

关键词：

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Modelling that integrates the effects of uncertainties in relevant geophysical, technological, social and political factors on the cost of keeping transient global temperature increase to below certain limits shows that political choices have the greatest effect on the cost distribution.

引用

页码：79 / 83

页数：4

共 50 条

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[2] Correction: Corrigendum: Probabilistic cost estimates for climate change mitigation
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