Earth System Dynamics
Earth System Dynamics
ESD
Articles | Volume 11, issue 2
Articles | Volume 11, issue 2
https://doi.org/10.5194/esd-11-491-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/esd-11-491-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 2
Research article
 | 
29 May 2020
Research article |  | 29 May 2020

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

Flavio Lehner, Clara Deser, Nicola Maher, Jochem Marotzke, Erich M. Fischer, Lukas Brunner, Reto Knutti, and Ed Hawkins

Viewed

Total article views: 19,250 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
14,816 4,239 195 19,250 926 271 261
  • HTML: 14,816
  • PDF: 4,239
  • XML: 195
  • Total: 19,250
  • Supplement: 926
  • BibTeX: 271
  • EndNote: 261
Views and downloads (calculated since 05 Feb 2020)
Cumulative views and downloads (calculated since 05 Feb 2020)

Viewed (geographical distribution)

Total article views: 19,250 (including HTML, PDF, and XML) Thereof 17,978 with geography defined and 1,272 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Dec 2025
Download
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.
Read more
Share
Special issue
Large Ensemble Climate Model Simulations: Exploring Natural...
Altmetrics
Final-revised paper
Preprint