TABLE 5 



LINEAR COREffiLATIOK OF MONTHLY MEAN TEMPERATURE ANOMALIES BETWEEN 

 SURFACE AND i^00 FEET 



STATION 



Ad 

 (all Observations) 



Ae> 



0.5°F 



A0> 0.5°F and of 

 the same sign at the 

 surface and 400 feet 



r 



n 



r 



n 



r 



n 



BRAVO 



0.755 



53 



0.789 



26 



0.903 



24 



CHARLIE 



0.300 



85 



0.379 



hi 



0.793 



36 



DELTA 



0.761 



89 



0.820 



6Q 



0.872 



64 



ECHO 



0.506 



lOil- 



0.611 



60 



0.844 



45 



HOTEL 



0.550 



7^^ 



0.629 



41 



0.791 



32 



COMBINED 

 ATLANTIC 

 OWS 



0.596 



ij-05 



0.686 



24-2 



0.835 



201 



NOVEMBER 



0.398 



I3i^ 



0.384 



75 



0.532 



67 



A8 = Monthly mean temper atiore anomaly in °F 

 r = Linear correlation coefficient 

 n = Size of the sample (number of pairs) 



Correlation coefficients based on all pairs of monthly mean anom- 

 alies vere computed with zero to 6 months' lag for all stations and are 

 shown in figure 7* The correlations are best for zero lag and drop q.uite 

 rapidly; however, most stations show an increase at 4 months' lag. The 

 correlation coefficients computed for the combined stations also show this 

 increase as well as about half the correlation value at 1 month's lag. The 

 large decrease indicates rather limited persistence; however, satisfactory 

 persistence for a few weeks can be inferred from these curves. Lag corre- 

 lations were not computed for anomalies exceeding 0.5°F; persistence in 

 this group would probably be considerably greater. 



V. ANOMALY RATIO 



If the anomalies at both levels have the same sign and are not too 

 different in magnitude, they are considered to be correlated. Will the 

 magnitudes of the anomalies be the same at both levels when anomalies are 

 correlated? If the magnitudes are not expected to be the same, what are 

 their ratios and are the ratios constant or variable? 



Components of a common origin of anomalies at both levels may be 



20 



