Is unequal weighting significantly better than equal weighting for multi‐model forecasting?

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Toward an Improved Multimodel ENSO Prediction (2015, methodology): “Past research has demonstrated that when there are no more than moderate apparent skill differences among models, and only 30 or fewer years of hindcast data are available, use of variable model weighting based on model hindcast skill has not been shown to result in higher cross-validated MME skill ”
Skill improvement from increased ensemble size and model diversity (2014, background): “…lie beyond the scope of the present paper but are an area of active research [Krishnamurti et al., 2000; Kharin and Zwiers, 2002; Kang and Yoo, 2006; DelSole, 2007; Tebaldi and Knutti, 2007; Peña and van den Dool, 2008; Casanova and Ahrens, 2009; Weigel et al., 2010; DelSole et al., 2012, 2013].”