The approach used here allows us to

The approach used here allows us to make probabilistic statements about the likelihood of this anomalous warming
occurring in the presence or absence of anthropogenic GHG emissions. In this regard it complements and extends existing
climate change detection and attribution research using dynamic global climate model simulations and optimal fingerprint
analysis (Hegerl and Zwiers, 2011; Berliner et al., 2000; Allen et al., 2000; Hansen et al., 2010; Easterling and Wehner, 2009)
and professional assessments of the literature (IPCC, 2007). For example, a value of 95% for the probability of anthropogenic
climate change was given by the IPCC whereas our approach progresses research on the statistical detection of climate
change (Hansen et al., 2010; Rhamstorf and Coumou, 2011) to include the probability of that change.