On Constraining Estimates of Climate Sensitivity with Present-Day Observations through Model Weighting

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Entrainment and detrainment in cumulus convection: an overview (2013, unknown): “Kuang and Bretherton (2006), Khairoutdinov and Randall (2006), Khairoutdinov et al.”
Emergent Constraints for Cloud Feedbacks (2015, unknown): “Testing can involve perturbing fixed parameters [21, 26] or replacing whole parameterizations in a single model [49, 55].”
Statistical significance of climate sensitivity predictors obtained by data mining (2014, background): “A necessary but not sufficient condition for their continued acceptance is that the suggested relationship should continue to hold in other ensembles of models [Masson and Knutti, 2013; Klocke et al., 2011].”
Evaluating Emergent Constraints on Equilibrium Climate Sensitivity (2018, background): “…because we were not aware of them while writing this paper, because they have already been shown to not be robust to changes in ensemble (e.g., Klocke et al. 2011), because they propose more constraints than our analysis can handle (Huber et al. 2011), or because computing them for CMIP5…”
Origins of differences in climate sensitivity, forcing and feedback in climate models (2013, background): “Klocke et al. (2011) argue that global measures of model skill such as these may be unrelated to climate sensitivity because they are influenced not only by the regions controlling the sensitivity, but also by other regions with large present-day biases.”