Articles | Volume 11, issue 2
Earth Syst. Dynam., 11, 491–508, 2020

Special issue: Large Ensemble Climate Model Simulations: Exploring Natural...

Earth Syst. Dynam., 11, 491–508, 2020

Research article 29 May 2020

Research article | 29 May 2020

Partitioning climate projection uncertainty with multiple large ensembles and CMIP5/6

Flavio Lehner et al.


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (19 Apr 2020) by Ralf Ludwig
AR by Flavio Lehner on behalf of the Authors (19 Apr 2020)  Author's response    Manuscript
ED: Publish as is (25 Apr 2020) by Ralf Ludwig
Short summary
Projections of climate change are uncertain because climate models are imperfect, future greenhouse gases emissions are unknown and climate is to some extent chaotic. To partition and understand these sources of uncertainty and make the best use of climate projections, large ensembles with multiple climate models are needed. Such ensembles now exist in a public data archive. We provide several novel applications focused on global and regional temperature and precipitation projections.
Final-revised paper