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  Climate–carbon cycle uncertainties and the Paris Agreement

Holden, P. B., Edwards, N. R., Ridgwell, A., Wilkinson, R. D., Fraedrich, K. F., Lunkeit, F., et al. (2018). Climate–carbon cycle uncertainties and the Paris Agreement. Nature Climate Change, 8, 609-613. doi:10.1038/s41558-018-0197-7.

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Holden, P. B.1, Author
Edwards, N. R.1, Author
Ridgwell, A.1, Author
Wilkinson, R. D.1, Author
Fraedrich, Klaus F.2, Author
Lunkeit, Frank1, Author
Pollitt, H. 1, Author
Mercure, J.-F.1, Author
Salas, P.1, Author
Lam, A.1, Author
Knobloch, F.1, Author
Chewpreecha, U.1, Author
Viñuales, J. E.1, Author
Affiliations:
1external, ou_persistent22              
2MPI for Meteorology, Max Planck Society, Bundesstraße 53, 20146 Hamburg, DE, ou_913545              

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 Abstract: The Paris Agreement1 aims to address the gap between existing climate policies and policies consistent with “holding the increase in global average temperature to well below 2 C”. The feasibility of meeting the target has been questioned both in terms of the possible requirement for negative emissions2 and ongoing debate on the sensitivity of the climate–carbon-cycle system3. Using a sequence of ensembles of a fully dynamic three-dimensional climate–carbon-cycle model, forced by emissions from an integrated assessment model of regional-level climate policy, economy, and technological transformation, we show that a reasonable interpretation of the Paris Agreement is still technically achievable. Specifically, limiting peak (decadal) warming to less than 1.7 °C, or end-of-century warming to less than 1.54 °C, occurs in 50% of our simulations in a policy scenario without net negative emissions or excessive stringency in any policy domain. We evaluate two mitigation scenarios, with 200 gigatonnes of carbon and 307 gigatonnes of carbon post-2017 emissions respectively, quantifying the spatio-temporal variability of warming, precipitation, ocean acidification and marine productivity. Under rapid decarbonization decadal variability dominates the mean response in critical regions, with significant implications for decision-making, demanding impact methodologies that address non-linear spatio-temporal responses. Ignoring carbon-cycle feedback uncertainties (which can explain 47% of peak warming uncertainty) becomes unreasonable under strong mitigation conditions.

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Language(s): eng - English
 Dates: 2018-06-252018-06-25
 Publication Status: Issued
 Pages: -
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 Rev. Type: Peer
 Identifiers: DOI: 10.1038/s41558-018-0197-7
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Title: Nature Climate Change
Source Genre: Journal
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Pages: - Volume / Issue: 8 Sequence Number: - Start / End Page: 609 - 613 Identifier: ISBN: 1758-6798