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nents. and thus in wind stress. A change in wind stress will change 

 the wind-driven current, redistribute the mass, and change the aver- 

 age density of the water column. Wind stress changes also alter wind- 

 induced set-up or set-down against the coast. All of these processes 

 combine with effects of a northward propagating wave from the trop- 

 ics to affect sea level at Monterey. 



Records of SST and salinity changes reflect changes in oceano- 

 graphic conditions at the sea surface and may also be indicative of 

 changes in the subsurface density distribution. Dynamic height cal- 

 culations, however, provide a direct measure of the subsurface den- 

 sity field and its changes, and therefore reflect large scale changes in 

 ocean circulation. If a strong relationship between sea level and 

 dynamic height were found, it would allow use of inexpensive tide 

 gage data to monitor changes in coastal circulation. The time series of 

 frequent hydrographic stations taken in mid-Monterey Bay during 

 1968 to 1978 provide a unique opportunity to test for such a relation. 



Correlation, regression, and spectral analysis techniques were 

 used to study the causes of the sea level variations. These variations 

 occur on various time scales and the analysis techniques used were 



chosen as appropriate for the time scale and character of the data to be 

 analyzed. Thus, this section is organized generally by time-sampling 

 and specifically by analysis procedures. 



Correlation Analysis 



Long term monthly means and anomalies for the period 1963-78 

 were calculated for the following oceanic and atmospheric variables: 

 surface atmospheric pressure, meridional component of wind stress. 

 zonal wind stress, offshore component of Ekman transport, Sverdrup 

 transport, salinity. SST. and 0/400 db dynamic height. The data are 

 presented numerically and graphically in Appendix B. Correlations 

 between these variables and the monthly sea level anomalies at Mon- 

 terey were calculated using the BMDP8D statistical program (Dixon 

 1975) and the results are given in Table 2. The correlation analysis 

 measures the strength of the linear relationship between two random 

 variables. However, the variables dealt with here are not random and 

 may be mutually dependent on some third but unmeasured variable. 

 Thus care must be used in interpretation of the statistical results. In 



