First, a paper published in the Journal of Climate by Jara Imbers, Ana Lopez, Chris Huntingford, and Myles Allen examines the recent IPCC statement that expressed with 95 percent confidence that humans are the main cause of the current global warming. One of the main challenges in attributing the causes of global warming lies in the representation of the natural internal variability of the Earth's climate.
The study used two very different representations of natural variability. The first model assumed that the present climate has a short and finite memory, and is mostly determined by the recent past. The second model assumed that the climate's internal variability has long memory and the present climate is influenced by all the previous years.
The authors then incorporated each of these representations of natural variability with a statistical approach to estimate the individual contributions of the various factors (e.g. the sun, volcanoes, greenhouse gases) to the increase in average global surface temperature. In each case, the study found that the greenhouse gas-global warming signal was statistically significant, supporting the robustness of the IPCC statement on human-caused global warming. As lead author Jara Imbers told me,
"...we investigate two extreme cases of the plausible temporal structures of the internal variability, and we find that the anthropogenic signal is robust and significant."
Second, a paper published in Nature Geoscience by Andrew Schurer, Simon Tett, and Gabriele Hegerl investigates the sun's influence on global climate changes over the past 1,000 years. Although we know the sun can't be causing the current global warming because solar activity has declined slightly over the past 50 years,