Calculation of probability density functions for temperature and precipitation change under global warming

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Weighting of model results for improving best estimates of climate change (2010, methodology): “Previously published methods for weighting simulations of climate change (e.g., Giorgi and Mearns 2002; Murphy et al. 2004; Watterson 2008) have been largely subjective.”
Bias correction of monthly precipitation and temperature fields from Intergovernmental Panel on Climate Change AR4 models using equidistant quantile matching (2010, result): “We first approximate the range parameters (a and b) as the extreme values from the data, extended by a certain percentage of the standard deviation (s), similar to the approach by Watterson [2008] .”
Challenges in Combining Projections from Multiple Climate Models (2010, background): “Waugh and Eyring (2008) and Eyring et al. (2007) assessed the performance of stratospheric chemistry–climate models but found only small differences between weighted and unweighted projections.”