Statistical Analysis in Climate Research

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Trend analysis of climate time series: A review of methods (2019, methodology): “This allows usage of multivariate linear regression estimation (von Storch and Zwiers, 1999), which is straightforward.”
Uncertainty in climate change impacts on water resources (2018, methodology): “The variance decomposition method (ANOVA) is a tool for decomposition of the total ensemble uncertainty into contributions from different sources and interactions between them (cf. von Storch and Zwiers, 1999).”
Persistence matters: Estimation of the statistical significance of paleoclimatic reconstruction statistics from autocorrelated time series (2012, methodology): “…as their assumptions are not satisfied. ore flexible bootstrap and Monte-Carlo techniques (Efron and ibshirani, 1986) can often perform better than classical methods ith special regard to climatic (von Storch and Zwiers, 1999) or aleoclimatic (e.g. Mudelsee, 2003; Young et al., 2000) persistence.”