Probabilistic cost estimates for climate change mitigation

Joeri Rogelj (), David L. McCollum, Andy Reisinger, Malte Meinshausen and Keywan Riahi
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Joeri Rogelj: Institute for Atmospheric and Climate Science, ETH Zurich, Universitätstrasse 16
David L. McCollum: International Institute for Applied Systems Analysis (IIASA)
Andy Reisinger: New Zealand Agricultural Greenhouse Gas Research Centre, Private Bag 11008, Palmerston North 4442, New Zealand
Malte Meinshausen: School of Earth Sciences, University of Melbourne
Keywan Riahi: International Institute for Applied Systems Analysis (IIASA)

Nature, 2013, vol. 493, issue 7430, 79-83

Abstract: 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.

Date: 2013
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DOI: 10.1038/nature11787

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