Articles | Volume 9, issue 10
https://doi.org/10.5194/gmd-9-3751-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-9-3751-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
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
CORRESPONDING AUTHOR
Canadian Centre for Climate Modelling and Analysis, Environment and
Climate Change Canada, Victoria BC, Canada
Douglas M. Smith
CORRESPONDING AUTHOR
Met Office, Hadley
Centre, Exeter, UK
Christophe Cassou
Centre National de la Recherche Scientifique
(CNRS)/CERFACS, CECI, UMR 5318 Toulouse, France
Francisco Doblas-Reyes
Institució
Catalana de Recerca i Estudis Avançats (ICREA) and Barcelona
Supercomputing Center (BSC-CNS), Barcelona, Spain
Gokhan Danabasoglu
National Center for Atmospheric Research (NCAR), Boulder, CO, USA
Ben Kirtman
Rosenstiel School of Marine and Atmospheric Science, University of
Miami, Miami, FL, USA
Yochanan Kushnir
Lamont
Doherty Earth Observatory, Palisades, NY, USA
Masahide Kimoto
Atmosphere and Ocean
Research Institute, University of Tokyo, Tokyo, Japan
Gerald A. Meehl
National Center for Atmospheric Research (NCAR), Boulder, CO, USA
Rym Msadek
Centre National de la Recherche Scientifique
(CNRS)/CERFACS, CECI, UMR 5318 Toulouse, France
Geophysical Fluid Dynamics Laboratory/NOAA, Princeton, NJ, USA
Wolfgang A. Mueller
Max-Planck-Institute for Meteorology, Hamburg, Germany
Karl E. Taylor
Program for Climate Model Diagnosis and Intercomparison (PCMDI),
Lawrence Livermore National Laboratory, Livermore, CA, USA
Francis Zwiers
Pacific Climate Impacts Consortium, Victoria BC, Canada
Michel Rixen
World Climate Research Programme, Geneva, Switzerland
Yohan Ruprich-Robert
Atmosphere and Ocean Sciences, Princeton University, Princeton,
NJ, USA
Rosie Eade
Met Office, Hadley
Centre, Exeter, UK
Viewed
Total article views: 17,938 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 11 Apr 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 11,402 | 5,918 | 618 | 17,938 | 458 | 625 |
- HTML: 11,402
- PDF: 5,918
- XML: 618
- Total: 17,938
- BibTeX: 458
- EndNote: 625
Total article views: 16,549 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 25 Oct 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 10,744 | 5,193 | 612 | 16,549 | 447 | 616 |
- HTML: 10,744
- PDF: 5,193
- XML: 612
- Total: 16,549
- BibTeX: 447
- EndNote: 616
Total article views: 1,389 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 11 Apr 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 658 | 725 | 6 | 1,389 | 11 | 9 |
- HTML: 658
- PDF: 725
- XML: 6
- Total: 1,389
- BibTeX: 11
- EndNote: 9
Latest update: 08 Nov 2025
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.
The Decadal Climate Prediction Project (DCPP) investigates our ability to skilfully predict...
