Articles | Volume 9, issue 10
https://doi.org/10.5194/gmd-9-3751-2016
https://doi.org/10.5194/gmd-9-3751-2016
Model experiment description paper
 | 
25 Oct 2016
Model experiment description paper |  | 25 Oct 2016

The Decadal Climate Prediction Project (DCPP) contribution to CMIP6

George J. Boer, Douglas M. Smith, Christophe Cassou, Francisco Doblas-Reyes, Gokhan Danabasoglu, Ben Kirtman, Yochanan Kushnir, Masahide Kimoto, Gerald A. Meehl, Rym Msadek, Wolfgang A. Mueller, Karl E. Taylor, Francis Zwiers, Michel Rixen, Yohan Ruprich-Robert, and Rosie Eade

Viewed

Total article views: 14,505 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
8,725 5,207 573 14,505 379 526
  • HTML: 8,725
  • PDF: 5,207
  • XML: 573
  • Total: 14,505
  • BibTeX: 379
  • EndNote: 526
Views and downloads (calculated since 11 Apr 2016)
Cumulative views and downloads (calculated since 11 Apr 2016)

Cited

Saved (final revised paper)

Saved (preprint)

Latest update: 13 Jun 2024
Download
Short summary
The Decadal Climate Prediction Project (DCPP) investigates our ability to skilfully predict climate variations from a year to a decade ahead by means of a series of retrospective forecasts. Quasi-real-time forecasts are also produced for potential users. In addition, the DCPP investigates how perturbations such as volcanoes affect forecasts and, more broadly, what new information can be learned about the mechanisms governing climate variations by means of case studies of past climate behaviour.