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Volume 9, issue 10 | Copyright

Special issue: Coupled Model Intercomparison Project Phase 6 (CMIP6) Experimental...

Geosci. Model Dev., 9, 3751-3777, 2016
https://doi.org/10.5194/gmd-9-3751-2016
© Author(s) 2016. This work is distributed under
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 et al.
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Cited articles
Asrar, R. A. and Hurrell, J. W. (Eds.): Climate Science for Serving Society, Springer, Dordrecht, 484 pp., https://doi.org/10.1007/978-94-007-6692-1, 2013.
Bauer, P., Thorpe, A., and Brunet, G.: The quiet revolution of numerical weather prediction, Nature, 525, 47–55, https://doi.org/10.1038/nature14956, 2015.
Boer, G. J., Kharin, V. V., and Merryfield, W. J.: Decadal predictability and forecast skill, Clim. Dynam., 41, 1817, https://doi.org/10.1007/s00382-013-1705-0, 2013.
Caron, L.-P., Hermanson, L., and Doblas-Reyes, F. J.: Multi-annual forecasts of Atlantic U.S. tropical cyclone wind damage potential, Geophys. Res. Lett., 42, 2417–2425, https://doi.org/10.1002/2015GL063303, 2015.
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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...
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