Stochastic climate theory and modeling

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Predicting Climate Change Using Response Theory: Global Averages and Spatial Patterns (2015, background): “Adding noise in the equations in the form of stochastic forcing—as in the case of using stochastic parametrizations [24] in multiscale system—provides a way to regularize the problem, but it is not entirely clear how to treat the zero noise limit.”
Low‐frequency nonlinearity and regime behavior in the Northern Hemisphere extratropical atmosphere (2017, methodology): “Systematically derived nonlinear dynamic-stochastic models contain the necessary damping in physically meaningful form as nonlinear damping [Majda et al., 1999, 2008, 2009; Franzke et al., 2005, 2015b; Franzke and Majda, 2006; Peavoy et al., 2015].”