Articles | Volume 9, issue 3
https://doi.org/10.5194/esd-9-1085-2018
https://doi.org/10.5194/esd-9-1085-2018
Research article
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30 Aug 2018
Research article | Highlight paper |  | 30 Aug 2018

The point of no return for climate action: effects of climate uncertainty and risk tolerance

Matthias Aengenheyster, Qing Yi Feng, Frederick van der Ploeg, and Henk A. Dijkstra

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Cited articles

Allen, M. R., Frame, D. J., Huntingford, C., Jones, C. D., Lowe, J. A., Meinshausen, M., and Meinshausen, N.: Warming caused by cumulative carbon emissions towards the trillionth tonne, Nature, 458, 1163–1166, https://doi.org/10.1038/nature08019, 2009. a, b
Clarke, L. E., Edmonds, J. A., Jacoby, H. D., Pitcher, H. M., Reily, J. M., and Richels, R. G.: Scenarios of Greenhouse Gas Emissions and Atmospheric Concentrations Synthesis, Tech. rep., Department of Energy, Office of Biological & Environmental Research, Washington, DC, 2007. a
Dijkstra, H. A.: Nonlinear Clim. Dynam., Cambridge University Press, Cambridge, https://doi.org/10.1017/CBO9781139034135, 2013. a
Fujino, J., Nair, R., Kainuma, M., Masui, T., and Matsuoka, Y.: Multi-gas Mitigation Analysis on Stabilization Scenarios Using Aim Global Model, Energ. J., 2006, 343–354, https://doi.org/10.5547/ISSN0195-6574-EJ-VolSI2006-NoSI3-17, 2006. a
Haustein, K., Otto, F. E. L., Uhe, P., Schaller, N., Allen, M. R., Hermanson, L., Christidis, N., McLean, P., and Cullen, H.: Real-time extreme weather event attribution with forecast seasonal SSTs, Environ. Res. Lett., 11, 064006, https://doi.org/10.1088/1748-9326/11/6/064006, 2016. a
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We determine the point of no return (PNR) for climate change, which is the latest year to take action to reduce greenhouse gases to stay, with a certain probability, within thresholds set by the Paris Agreement. For a 67 % probability and a 2 K threshold, the PNR is the year 2035 when the share of renewable energy rises by 2 % per year. We show the impact on the PNR of the speed by which emissions are cut, the risk tolerance, climate uncertainties and the potential for negative emissions.
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