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Volume 9, issue 10 | Copyright

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

Geosci. Model Dev., 9, 3685-3697, 2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Model experiment description paper 18 Oct 2016

Model experiment description paper | 18 Oct 2016

The Detection and Attribution Model Intercomparison Project (DAMIP v1.0) contribution to CMIP6

Nathan P. Gillett et al.
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Cited articles
Allen, M. R., Stott, P. A., Mitchell, J. F. B., Schnur, R., and Delworth, T. L.: Quantifying the uncertainty in forecasts of anthropogenic climate change, Nature, 407, 617–620,, 2000.
Allen, M. R., Frame, D. J., Huntingford, C., Jones, C. D., Lowe, J. A., Meinshausen, M., and Meinshausen, N.: Warming caused by cumulative carbon emissions towards the trillionth tonne, Nature, 458, 1163–1166,, 2009.
Barnett, T., Zwiers, F., Hegerl, G., Allen, M., Crowley, T., Gillett, N., Hasselmann, K., Jones, P., Santer, B., Schnur, R., Stott, P., Taylor, K., and Tett, S.: Detecting and attributing external influences on the climate system: A review of recent advances, J. Climate, 18, 1291–1314, 2005.
Bindoff, N. L., Stott, P. A., AchutaRao, K. M., Allen, M. R., Gillett, N. P., Gutzler, D., Hansingo, K., Hegerl, G., Hu,Y., Jain, S., Mokhov, I. I., Overland, J., Perlwitz, J., Sebbari, R., and Zhang, X.: Detection and Attribution of Climate Change: from Global to Regional, in: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M., Cambridge University Press, Cambridge, UK and New York, NY, USA, 2013.
Boer, G. J., Smith, D. M., Cassou, C., Doblas-Reyes, F., Danabasoglu, G., Kirtman, B., Kushnir, Y., Kimoto, M., Meehl, G. A., Msadek, R., Mueller, W. A., Taylor, K., and Zwiers, F.: The Decadal Climate Prediction Project, Geosci. Model Dev. Discuss.,, in review, 2016.
Publications Copernicus
Special issue
Short summary
Detection and attribution of climate change is the process of determining the causes of observed climate changes, which has underpinned key conclusions on the role of human influence on climate in the reports of the Intergovernmental Panel on Climate Change (IPCC). This paper describes a coordinated set of climate model experiments that will form part of the Sixth Coupled Model Intercomparison Project and will support improved attribution of climate change in the next IPCC report.
Detection and attribution of climate change is the process of determining the causes of observed...