Titlebook: Analysis of Climate Variability; Applications of Stat Hans Storch,Antonio Navarra Conference proceedings 1999Latest edition Springer-Verlag

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Statistical Analysis of GCM Outputy its response to anomalous boundary conditions or its sensitivity to changes in model formulation, and to determine its predictive skill. The first two problems are discussed in this Chapter 8 and in the next Chapter 9, while the evaluation of forecasts is discussed in Chapter 10.

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Teleconnection Patternsat their limited data set could generate. Modern times do not require such enormous efforts, but the two papers by Mike Wallace in collaboration with D. Gutzler and J. Horel (Wallace and Gutzler, 1981; Horel and Wallace, 1981) realized a significant breakthrough.

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Introduction

Patterns in Time: SSA and MSSA also the ., contains values measured or estimated at a given time, that is, the coordinates of . represent different locations in space at the same time. By diagonalising the covariance matrix of ., one tries therefore to capture the dominant spatial patterns. The SSA expansion (Vautard et al., 199

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