Coupled pattern analysis of sea surface temperature and TOPEX/Poseidon seasurface height

Though thermal effects dominate steric changes in sea level, the long-perio d contribution of thermal expansion to sea level is uncertain. Nerem et al. found that a global map of sea surface temperature (SST) trends and a corr esponding map of TOPEX/Poseidon-derived sea surface height (SSH) trends wer e strongly correlated. This result is explored with a coupled pattern analy sis (CPA) between five years of global SST and SSH, which allows for matchi ng of modes of common temporal variability. The dominant mode found is an annual cycle that accounts for nearly all (95 .3%) of the covariance between the fields and has a strong SST/SSH spatial correlation (0.68). The Spatial correlation is strong in both the Atlantic (0.80) and the Pacific (0.70). Good temporal and spatial agreement between the SSH and SST fields for the primary seasonal mode suggests that a robust regression between fields may have some physical significance with respect to thermal expansion and that the regression coefficient might be a proxy for the mixing depth of the mode. The value of the regression coefficient, H, scaled by a thermal expansion coefficient of 2 X 10(-4) degrees C-1 is 4 0 m for this mode, and ranges from 33 to 47 m among the basins. The primary mode of a nonseasonal CPA is an interannual mode that captures 38.0% of the covariance and has significant spatial correlations (0.54) bet ween SSH and SST spatial patterns. The spatial pattern and temporal coeffic ients of this mode are correlated with ENSO events. A robust regression bet ween fields finds that the nonseasonal modes have a regression coefficient 2-4 times that of the seasonal modes, indicative of deeper thermal mixing. The secondary nonseasonal mode captures most of the secular trend in both f ields during the period examined. The temporal coefficients of this mode la g those of primary mode. Evidence is presented that this mode is consistent with the behavior expected from secular trends that are dominantly forced by thermal expansion.