Current level and rate of warming determine emissions budgets under ambitious mitigation

Journal article

Some of the differences between recent estimates of the remaining budget of carbon dioxide (CO2) emissions consistent with limiting warming to 1.5 °C arise from different estimates of the level of warming to date relative to pre-industrial conditions, but not all. Here we show that, for simple geometrical reasons, the combination of both the level and rate of human-induced warming provides a remarkably accurate prediction of remaining emission budgets to peak warming across a broad range of scenarios, if budgets are expressed in terms of CO2-forcing-equivalent emissions. These in turn predict CO2 emissions budgets if (but only if) the fractional contribution of non-CO2 drivers to warming remains approximately unchanged, as it does in some ambitious mitigation scenarios, indicating a best-estimate remaining budget for 1.5 °C of about 22 years’ current emissions from mid-2017, with a ‘likely’ (1 standard error) range of 13–32 years. This provides a simple, transparent and model-independent metric of progress towards an ambitious temperature stabilization goal that could be used to inform the Paris Agreement stocktake process. It is less applicable to less ambitious goals. Alternative definitions of current warming and scenarios for non-CO2 drivers give lower 1.5 °C budgets. Lower budgets based on the MAGICC simple modelling system widely used in integrated assessment studies reflect its relatively high simulated current warming rates.

Authors: Leach, N; Millar, R; Haustein, K; Jenkins, S; Graham, E

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: Macmillan Publishers Ltd.
• Journal: Nature Geoscience
• Volume: 11
• Pages: 574–579
• Publication date: 2018-06-18
• Acceptance date: 2018-05-15
• DOI: 10.1038/s41561-018-0156-y
• EISSN: 1752-0908
• ISSN: 1752-0894
• Keywords: climate and earth system modelling; projection and prediction; climate-change mitigation; climate sciencesProjection and prediction; climate change