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Probabilistic cost estimates for climate change mitigation

Author

Listed:
  • Joeri Rogelj

    (Institute for Atmospheric and Climate Science, ETH Zurich, Universitätstrasse 16
    International Institute for Applied Systems Analysis (IIASA))

  • 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
    PRIMAP Group, Potsdam Institute for Climate Impact Research, PO Box 60 12 03, 14412 Potsdam, Germany)

  • Keywan Riahi

    (International Institute for Applied Systems Analysis (IIASA)
    Graz University of Technology)

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.

Suggested Citation

  • Joeri Rogelj & David L. McCollum & Andy Reisinger & Malte Meinshausen & Keywan Riahi, 2013. "Probabilistic cost estimates for climate change mitigation," Nature, Nature, vol. 493(7430), pages 79-83, January.
    • Handle: RePEc:nat:nature:v:493:y:2013:i:7430:d:10.1038_nature11787
    DOI: 10.1038/nature11787
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