Figure 10 (WW-2): Power spectra of the rotated PCs (rPCs) for the different modes featured in Figure WW-1. A 13-point Daniell filter is applied to smooth the spectra. For CCSM4 (black) the spectra are averaged over the five 20C ensemble members. The spectra of the ERSST (dark gray) and CORE (light gray) data sets are offset by factors 0.25 and 0.0625, respectively. The thin lines are 95% confidence limits, based on a best-fit AR-1 model to the time series, and a 2500-member ensemble of AR-1 processes with these same parameters.
Figure 11 (WW-3): Correlations between wind stress and the four dominant modes of SST in the 20C ensemble member 005 of CCSM4. Contours: peak correlation of monthly wind stress magnitude anomalies and rPCs (interval 0.05; negative values in gray, positive in white; only values significantly different from zero at the 99% level are shown); shading: lag for which this peak correlation is achieved (in months; negative values: rPC lags wind stress magnitude); and vectors: the vectorized correlation between the rPCs and wind stress components at this lag (maximum vector lengths represent (square-root) correlations of 0.62, 0.75, 0.55 and 0.66 for rEOF 1, and the STA, NTA and SSA modes, respectively).
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