Journal metrics

Journal metrics

  • IF value: 4.252 IF 4.252
  • IF 5-year value: 4.890 IF 5-year 4.890
  • CiteScore value: 4.49 CiteScore 4.49
  • SNIP value: 1.539 SNIP 1.539
  • SJR value: 2.404 SJR 2.404
  • IPP value: 4.28 IPP 4.28
  • h5-index value: 40 h5-index 40
  • Scimago H index value: 51 Scimago H index 51
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.
Related authors
Terrestrial ecosystems response to future changes in climate and atmospheric CO2 concentration
V. K. Arora and G. J. Boer
Biogeosciences, 11, 4157-4171, https://doi.org/10.5194/bg-11-4157-2014,https://doi.org/10.5194/bg-11-4157-2014, 2014
Related subject area
Climate and Earth System Modeling
Vegetation distribution and terrestrial carbon cycle in a carbon cycle configuration of JULES4.6 with new plant functional types
Anna B. Harper, Andrew J. Wiltshire, Peter M. Cox, Pierre Friedlingstein, Chris D. Jones, Lina M. Mercado, Stephen Sitch, Karina Williams, and Carolina Duran-Rojas
Geosci. Model Dev., 11, 2857-2873, https://doi.org/10.5194/gmd-11-2857-2018,https://doi.org/10.5194/gmd-11-2857-2018, 2018
OMEN-SED 1.0: a novel, numerically efficient organic matter sediment diagenesis module for coupling to Earth system models
Dominik Hülse, Sandra Arndt, Stuart Daines, Pierre Regnier, and Andy Ridgwell
Geosci. Model Dev., 11, 2649-2689, https://doi.org/10.5194/gmd-11-2649-2018,https://doi.org/10.5194/gmd-11-2649-2018, 2018
Stratospheric aerosol evolution after Pinatubo simulated with a coupled size-resolved aerosol–chemistry–climate model, SOCOL-AERv1.0
Timofei Sukhodolov, Jian-Xiong Sheng, Aryeh Feinberg, Bei-Ping Luo, Thomas Peter, Laura Revell, Andrea Stenke, Debra K. Weisenstein, and Eugene Rozanov
Geosci. Model Dev., 11, 2633-2647, https://doi.org/10.5194/gmd-11-2633-2018,https://doi.org/10.5194/gmd-11-2633-2018, 2018
Comparison of spatial downscaling methods of general circulation model results to study climate variability during the Last Glacial Maximum
Guillaume Latombe, Ariane Burke, Mathieu Vrac, Guillaume Levavasseur, Christophe Dumas, Masa Kageyama, and Gilles Ramstein
Geosci. Model Dev., 11, 2563-2579, https://doi.org/10.5194/gmd-11-2563-2018,https://doi.org/10.5194/gmd-11-2563-2018, 2018
The seasonal relationship between intraseasonal tropical variability and ENSO in CMIP5
Tatiana Matveeva, Daria Gushchina, and Boris Dewitte
Geosci. Model Dev., 11, 2373-2392, https://doi.org/10.5194/gmd-11-2373-2018,https://doi.org/10.5194/gmd-11-2373-2018, 2018
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.
Publications Copernicus
Special issue
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.
The Decadal Climate Prediction Project (DCPP) investigates our ability to skilfully predict...
Citation
Share