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Earth System Dynamics An interactive open-access journal of the European Geosciences Union
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Volume 6, issue 2
Earth Syst. Dynam., 6, 719-730, 2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Earth Syst. Dynam., 6, 719-730, 2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 18 Nov 2015

Research article | 18 Nov 2015

Attribution in the presence of a long-memory climate response

K. Rypdal
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Cited articles  
Blender, R. and Fraedrich, K.: Long time memory in global warming simulations, Geophys. Res. Lett., 30, 1769,, 2003.
Brohan, P., Kennedy, J. J., Harris, I., Tett, S. F. B., and Jones, P. D.: Uncertainty estimates in regional and global observed temperature changes: A new data set from 1850, J. Geophys. Res, 111, D12106,, 2006.
Burnham, K. P. and Anderson, D. R.: Multimodel inference: understanding AIC and BIC in model selection, Sociol. Method. Res., 33, 261–304,, 2004.
Camp, C. D. and Tung, K. K.: Surface warming by the solar cycle as revealed by the composite difference projection, Geophys. Res. Lett., 34, L14703,, 2007.
Canty, T., Mascioli, N. R., Smarte, M. D., and Salawitch, R. J.: An empirical model of global climate – Part 1: A critical evaluation of volcanic cooling, Atmos. Chem. Phys., 13, 3997–4031,, 2013.
Publications Copernicus
Short summary
Human and natural forces drive climate change. If we have a model for the climate response to forcing, we can identify distinct fingerprints for each force, and their footprint in the observed global temperature can be determined by statistical analysis. This process is called attribution. This work examines the effect delays (long-range memory) in the climate response have on the magnitude of the various footprints. The magnitude of the human footprint turns out to be only weakly affected.
Human and natural forces drive climate change. If we have a model for the climate response to...